Project name Brief description of project/study Status of project/study Project Website

What the project/study is about

Acronym of project/study

Full name of project or study

Acronym of project/study

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RLMS-HSE Ongoing Russia Longitudinal Monitoring Survey of Higher School of Economics

The RLMS-HSE is a continuous household based survey designed to measure the effect of Russian reforms on the health and economic welfare of households and individuals in the Russian Federation. These effects are measured at an individial, household and community level. Data are collected using household/adult/child surveys and are administered to the member of the household most knowledgeable about household income and expenditures.

http://www.cpc.unc.edu/projects/rlms-hse

N/A Completed (2003)The ProChildren project - 'Promoting and sustaining health through increased fruit and vegetable consumption among European children'

To develop effective strategies to promote adequate consumption levels of fruit and vegetables in a nationally representative group of 11 year old children in 9 European countries. Phase 1: Assess fruit and vegetable consumption in European schoolchildren and their parents and identify determinants of consumption levels/patterns.Phase 2: Design, implement and evaluate the effect of a culturally relevant intervention programme in different European settings

http://www.prochildren.org/

HEIA Completed (2012)

N/A Completed

MICS Completed (2011)

The Health in Adolescence Study

To design, implement and evaluate a comprehensive school-based intervention program to promote healthy weight development among young adolescents (11-13 year olds).

http://www.med.uio.no/imb/english/research/projects/heia/

Micronutrient Status Survey in Kosovo

A survey to investigate the health and nutritional status of children and women in Albanian Speaking Population (ASP) and Serbian Speaking Population (SSP) of Kosovo

http://www.unicef.org/kosovoprogramme/kosovo_media_pub_survival.004.04.pdf

Multiple Indicator Cluster Survey in FRY Macedonia with Micronutrient Component

This survey involves the assessment of nutritional status in target groups. It aims to give up-to-date information regarding the nutritional status of Macedonian women and children. In particular, the research focuses strongly on prevalence of anaemia for the purposes of providing evidence to support efforts for flour fortification programmes in the country.

http://www.unicef.org/tfyrmacedonia/NutritionSurveyENG(1).pdf

N/A Assessment of nutritional status in target groups Completed N/A

N/A Completed N/A

The Health and Nutritional Status of Children and Women in Armenia

The Health and Nutritional Status of Children Under Five and their Mothers in the Republic of Ingushetia (Russian Federation)

This study involves the assessment of nutritional status in target groups. The main aim was to evaluate the nutritional status of children under five and their mothers among residents and IDPs and to evaluate immunization coverage in children.

HELENA Completed Healthy Lifestyle in Europe by Nutrition in Adolescence

The project includes cross-sectional, crossover and pilot community intervention multicentre studies, with the overall purpose of obtaining reliable and comparable data of a representative sample of European adolescents (13-16yr), concerning foods and nutrients intake, food choices and preferences, obesity prevalence, dislipidemia, insulin resistance, vitamin and minerals status, immunological markers for subclinical malnutrition, physical activity and fitness patterns, and variations of the nucleotide sequence in selected genes.

http://www.helenastudy.com/

PHYTOS Completed

ISOHEART Completed

ZENITH Completed

Effects of Phytoestrogen-rich Diets on Bone Turnover in Postmenopausal Women

The aim of this randomized, double blind intervention efficacy study was to investigate the effects of isoflavone-enriched food consumption for 1 y on Bone Mineral Densitu (BMD) and biomarkers of bone turnover in early postmenopausal women (age 40-65) from three European countries. In addition, the effect of the intervention on hormonal status and safety variables was evaluated.

http://clinicaltrials.gov/ct2/show/NCT00301353

Isoflavones for Reducing Risk of Coronary Heart Disease among Postmenopausal Women

To investigate the effects of isolated isoflavones consumption on biomarkers of cardiovascular disease (CVD) risk

http://cordis.europa.eu/project/rcn/64475_en.html

Zinc Effects on Nutrient/nutrient Interactions and Trends in Health and Aging

To investigate the effects of zinc, given as a nutritional supplement to late middle-aged and older population groups, on psychological and behavioural factors and on surrogate markers (particularly antioxidants/oxidative stress balance, immunity and thyroid functions, bone metabolism and protein synthesis) that are indicative of trends towards better health in these vulnerable population groups.

http://www7.inra.fr/zenith/ http://cordis.europa.eu/project/rcn/61770_en.html

N/A Completed

COSI Ongoing

Okkio alla salute (derived from COSI survey)

The system aims to measure routinely trends in overweight and obesity in primary school children (6-9 years), in order to understand the progress of the epidemic in this population group and to permit intercountry comparisons within the European Region.

http://www.epicentro.iss.it/okkioallasalute/

WHO European Childhood Obesity Surveillance Initiative

To measure routinely trends in overweight and obesity in primary school children (6-9 years), in order to understand the progress of the epidemic in this population group and to permit intercountry comparisons within the European Region.

http://www.euro.who.int/en/health-topics/disease-prevention/nutrition/activities/monitoring-and-surveillance/who-european-childhood-obesity-surveillance-initiative-cosi

Completed

HBSC Italian Ongoing

HBSC International Ongoing

Health Behaviour in School-Aged Children

HBSC To investigate how young people's health changes as they move from childhood, through adolescence into adulthood.

http://www.hbsc.unito.it/en/index.php?option=com_content&view=article&id=7&Itemid=29

Health Behaviour in School-Aged Children (Italian)

To investigate how young people's health changes as they move from childhood, through adolescence into adulthood.

http://www.hbsc.unito.it/it/

Health Behaviour in School-aged Children: WHO Collaborative Cross-National study .

To investigate how young (11yr, 13yr, 15yr) people's health changes as they move from childhood, through adolescence into adulthood.

For 30 years HBSC has been a pioneer cross-national study gaining insight into young people's well-being, health behaviours and their social context. This research collaboration with the WHO Regional Office for Europe is conducted every four years in 44 countries and regions across Europe and North America.

http://www.hbsc.org/

Completed

N/A Ongoing

INRAN-SCAI 2005-06 included in EFSA

INRAN-SCAI 2005-06

Nationwide individual dietary survey carried out in the period October 2005-November 2006. 3,329 individuals (all components of each selected household, both sexes, 0.1-97.7 age range) compiled a 3-day estimated food record diary, individual socio-demographic & lifestyle questionnaire, and one person responsible for food related activities answered questions about food procurement and dietary habits at household level. Database with single eating occasions, i.e., estimated amount using a photographic atlas of each food item with time, place of consumption, and type of meals were combined with a compiled food composition database (analytical Italian Food Composition Tables + literature + borrowed data + food label information when other sources were not available).

http://www.efsa.europa.eu/it/efsajournal/doc/2097.pdf

Italian household budget survey ("Indagine sui consumi delle famiglie")

To examine the spending patterns of Italian households across the country

http://www.istat.it/en/archive/180353

N/A Ongoing

ZOOM8 Completed N/A

Omnibus survey ("Aspetti della vita quotidiana")

To collect information on living conditions, eating habits, perceived health status, physical activities, lifestyles, general perceptions of Italian housholds. 5 thematic surveys follows in turn every 5 years; "Health status and use of health services", "Households and leisure", "Households and safety", "Households and social subjects, "Time use"

The ZOOM8 study: Nutrition and physical activity of primary school children.

The study was part of the project “System of surveys of behavioural risks in ages 6-17”, promoted by Ministry of Health/National Centre for Disease Prevention and Control. It is a cross-sectional study aimed at evaluating the dietary habits, and physical activity of Italian primary school children in the geographic areas with very different levels of childhood overweight and obesity.

PASSI d’Argento CompletedProgressi delle Aziende Sanitarie per la Salute in Italia' pilot project: towards a national surveillance system on population aged over 64.

To implement a national surveillance system on population aged over 64 in order to collect information on the quality of life, behavioural risk factors, health and health problems, perceived health care quality.

http://www.epicentro.iss.it/passi-argento/default.asp

DONALD Ongoing (open cohort)

German National Cohort GNC / NAKO Ongoing

DOrtmund Nutritional and Anthropometric Longitudinally Designed Study

The study focussed on nutritional behaviour, food consumption, growth, development, metabolism and health from infancy to adulthood.

https://www.ernaehrungsepidemiologie.uni-bonn.de/forschung/donald-1

To investigate the causes for the development of major chronic diseases, and their pre-clinical stages or functional health impairments

https://www.mdc-berlin.de/ 43333560/en/research/research_teams/molecular_epidemiologie/projects/The-National-Cohort

BVSII Completed Bavarian Nutrition Survey II

To provide representative data on food consumption, nutrient intake and physical activity

http://www.vis.bayern.de/ernaehrung/ernaehrung/ernaehrungssituation/

CompletedGerman National Nutrition Survey II [Nationale Verzehrsstudie II]

NVS II-Recalls/NVS II

To provide representative data on food consumption, nutrient intake and further aspects of nutritional behaviour of the German population

http://www.mri.bund.de/no_cache/de/institute/ernaehrungsverhalten/forschungsprojekte/die-nationale-verzehrsstudie-zwei.html (in German)

POGO Uncertain N/APostpartum Outcomes in Women with Gestational Diabetes and their Offspring

To identify mechanisms related to overweight development in children with mothers with Gestational diabetes mellitus (GDM); To identify mechanisms related to development of T2D postpartum in mothers with GDM

BABYDIET Completed

NeuroFAST NeuroFAST Completed

Primary Prevention of Type 1 Diabetes in Relatives at Increased Genetic Risk

Primary dietary intervention study to reduce the risk of islet autoimmunity

http://www.helmholtz-muenchen.de/idf/das-institut/index.html; https://clinicaltrials.gov/ct2/show/NCT01115621

To investigate the common neurobiology involved in eating behavior, addiction and stress in adolescents and adults

http://www.neurofast.eu/

Full4Health Full4Health CompletedTo investigating mechanisms of hunger, satiety and feeding behaviour across the life course

http://www.full4health.eu/project

The ToyBox Study ToyBox CompletedMultifactorial evidence-based approach for the prevention of overweight and obesity in four- to six-year-old preschool children, with a main focus on physical activity, sedentary behaviour, sugar-sweetened beverage consumption, water consumption and snack consumption

http://www.toybox-study.eu/

PAPA CompletedPromoting Adolescent Physical Activity through an intervention

Aims to enhance young peoples’ health and well-being through positive experiences in sport.

http://www.projectpapa.org/about-papa

DEMETRIQ Completed Developing Methodologies to Reduce Inequalities in the Determinants of Health

Aimed at developing methodologies to evaluate how population-wide social policies impact on health inequalities

http://www.demetriq.eu

PROactive COPD Completed

SPOTLIGHT Completed

Physical activity and Nutritional intervention

Aims to assess the impact of either medication or rehabilitation on COPD patients' PA.

http://www.proactivecopd.com/

Sustainable Prevention of Obesity through Integrated Strategies

Extensive data has been collected in 5 EU menber states (WP3). In an online survey, personal/self report data is collected about PA, diet and sedentary behaviours, perceived environments, barriers to healthy eating and physical activity etc. In addition, characteristics of the built environment have objectively been assessed using the SPOTLIGHT remote imaging tool (based on Google Street View).

https://www.spotlightproject.eu/

TEMPEST Completed

AFRESH Completed

Completed

Temptations to Eat Moderated by Personal and Environmental Self-Regulatory

To assess the presumed extent to which the environmental, motivational factors and interventions affect weight-related behaviours and weight status of young people

http://www.tempestproject.eu/ ; http://cordis.europa.eu/project/rcn/89723_en.html

Activity and Food for Regional Economies Supporting Health

This project aims at developing a research agenda for reducing diet- and physical inactivity-related (chronic) diseases, such as diabetes, obesity, cardiovascular diseases and various types of cancer, by developing innovative products and services within the field of nutrition and physical activity.

http://eu.region-stuttgart.de/en/eu-funded-projects/completed-eu-funded-projects/artikel/afresh-activity-and-food-for-regional-economies-supporting-health.htmlCredits-based, people-

centric approach for the adoption of healthy life-styles and balanced Mediterranean diet

CREDITS4HEALTH

Social Innovation and Health Promotion Project aimed at finding out and testing a system effective in engaging, nurturing and keeping people committed in the adoption of personalised wellness paths and healthy life-styles. The main goal of the C4H project is to develop a sustainable system that encourages people living in Euro-Mediterranean Countries to enhance their level of physical activity and adopt healthy eating habits by means of a person-centric approach and a variety of incentives.

http://www.c4h.it/

ENERGY Completed

EuroFIT EuroFIT Ongoing

EURO-PREVOB EURO-PREVOB Completed

European Energy Balance Research to Prevent Excessive Weight Gain among Youth

The overall aim of the ENERGY project is the development of a theory- and evidence-based multicomponent intervention scheme for prevention of unnecessary weight gain among school-aged children, ready to be implemented and tested for effectiveness across Europe.

http://www.projectenergy.eu/

The aim of EuroFIT is to harness the ‘love of the game’ to engage football fans in health-promoting lifestyle changes through their loyalty and attachment to their clubs.  EuroFIT will engage men through their connection with their clubs to make sustainable improvements in their diet, activity, and physical fitness

http://eurofitfp7.eu/

Tackling the social and economic determinants of nutrition and physical activity for the prevention of obesity in Europe. Aims to: Improve the understanding of the broad determinants of and inequalities in obesity; Identify other policy initiatives with a potential impact on the determinants of obesity; Develop and pilot tools to assess the potential impact of policies on determinants of obesity at the sub-regional level; Develop guidelines and recommendations for best practice.

http://prevob.lshtm.ac.uk/

PASTA Ongoing

REPOPA Uncertain

Physical Activity Through Sustainable Transport Approaches

The project aims to show how promoting active mobility (i.e. walking and cycling) can lead to a healthier, more physically active population - saving money and more importantly improving our lives.The objectives of the project are to review the literature and innovative measures and systematic initiatives, to conduct a longitudinal study evaluate the ongoing initiatives combined with traffic safety interventions and to better understand correlates, to develop an improved user-friendly tool for more comprehensive health impact assessment of active mobility and produce a compendium of good practices of active mobility promotion.

http://www.pastaproject.eu/home/

REsearch into POlicy to enhance Physical Activity

REPOPA aims to integrate scientific research knowledge, expert know-how and real world policy making process to increase synergy and sustainability in promoting health and preventing disease, and to promote physical activity in structural policy making , by:Building on evidence and experiences on policy making processes; Studying innovative ’win-win’ ways to collaborate between academia and policy makers, and Establishing structures and best practices for future health promotion

http://www.repopa.eu/

EPIC-Elderly Completed

DE-PLAN Completed N/A

Elderly Network on Ageing and Health

The proportion of elderly people in the European population is increasing. It is thus critical to take into account the specific needs of this age group when setting health priorities. Diet plays a critical role in the health of the vulnerable population of elders. The EPIC Elderly study encompasses information from about 100,000 European men and women aged 60 years or older at recruitment followed up for many years.

http://epic.iarc.fr/research/healthyagingepicelderly.php

DIABETES in EUROPE - Preventing using Lifestyle, PHYSICAL ACTIVITY and Nutritional Intervention

The DE-PLAN project aims at developing and testing models of efficient identification and intervention of individuals at high risk of type 2 diabetes in the community. It involves conducting a lifestyle modification intervention in people at high risk for T2D. Furthermore, it tests the feasibility and cost-effectiveness of the translation of the current research evidence about preventive intervention program into clinical settings within existing health care systems in 17 European countries.

Chicos Completed

IMPALA Completed

Developping a Child Cohort Research Strategy for Europe

Developing a child cohort research strategy for Europe.Chicos is structured along key childhealth outcome themes (perinatal outcomes, asthma, obesity, cognitiveand behavioural development, injuries, infections, childhood cancer) and key determinant themes (social inequalities, nutrition and exercise, lifestyle exposures, environmental toxin exposures, genetic factors and biobanks, multiple risk factors)

www.chicosproject.eu

Improving Infrastructure for Leisure-Time Physical Activites in Local Areas

IMPALA aims to identify, implement, and disseminate good practice in the planning, financing, building, and managing of local infrastructures for leisure-time physical activity. To gather the information needed, IMPALA seeks to analyze national policies, mechanisms and instruments used in the development of infrastructures for leisure-time physical activity.

www.impala-eu.org

PASEO CompletedBuilding Policy Capacities for Health Promotion through Physical Activity among Sedentary Older People

This project aims to improve the implementation of the programs, building the necessary policy capacities in 15 European nations represented by a scientific institution and a nongovernmental institution. The PASEO project was based on 10 work packages and a timeframe of 30 months (January 2009-July 2011).

www.eunaapa.org

ALPHA Completed

CHRODIS Ongoing

Assessing Levels of Physical Activity

The project aims to develop and test methodologies in assessing physical activity in the European population, and to examine factors associated with physical activity behavioiurs.

https://sites.google.com/site/alphaprojectphysicalactivity/

Joint Action on chronic diseases and promoting healthy ageing across the life cycle

To identify, validate, exchange and disseminate good practice on chronic diseases across EU Member States and to facilitate its uptake across local, regional and national borders.

http://www.chrodis.eu/about/

HEPCOM Ongoing

MOVE MOVE Completed

PERISCOPE Completed

Promoting Healthy Eating and Physical Activity in Local Communities (The Learning Platform for preventing childhood obesity in Europe)

The project aims to develop a learning platform to support local communities in the design and implementation of interventions to promote healthy eating and physical activity among children and young people across Europe. There are 45 local communities involved in the development process of the HEPCOM platform.

http://hepcom.eu/

The MOVE project aims to identify, qualify and implement good practices in cross-cutting community initiatives to promote health-enhancing physical activity in socio-economically disadvantaged areas. In this way, the project will contribute to reduce the numerous risk factors of physical inactivity.

http://www.isca-web.org/wemoveyou

Pilot European Regional Interventions for Smart Childhood Obesity Prevention in Early Age

To assess health status and behavior among children of kindergarten age (3-6 years) in three countries and to the effectiveness of interventions to promote healthy eating and physical activity.

Shape Up Europe SHAPE UP Completed N/A

EUROTHINE Completed N/A

To encourage children and young people to help build a healthy-living environment.

Health Inequalities in Europe - collaborative research programme

To prepare international overviews that provide bench-marking data on inequalities in mortality, morbidity and health determinants.To assess evidence on the effectiveness of policies and interventions to tackle health inequalities, and to make recommendations on strategies for reducing health inequalities.

PHYBEHI Ongoing

N/A Completed

PHENOTYPE Completed

Physical Built Environments and Health Inequalities.

Aims to investigate health inequalities across time, and the role of various environmental characteristics in affecting these trends

http://cordis.europa.eu/result/rcn/180064_en.html

Health inequality in the European Union

Aims to provide an outline of new evidence on health inequalities in the European Union (EU) and the policy response at EU and national level to health inequalities since 2009

Positive Health Effects on the Natural Outdoor Environment.

Aims to provide a better understanding of the potential mechanisms, and better integration of human health needs into land use planning and green space management.

http://www.phenotype.eu/

CHANCES Completed

Completed

Consortium on Health and Ageing: Network of Cohorts in Europe and the United States

The CHANCES project aims at combining and integrating on-going studies in order to produce evidence on ageing-related health characteristics and determinants in Europe. Fifteen cohorts are included in the project, including the participating centers from the EPIC-Elderly study, the Esther study, the MORGAM study, the Rotterdam Cohort study, the SENECA study, the Zuthpen study, the Betula study, the Northern Sweden Health and Disease Study, the HAPIEE study, the NIH-AARP cohort study, the Nurses Health Study, the SHARE study, the SMC study and the COSM study.

http://www.chancesfp7.eu/objectives.html

Virtual Reality Intervention for Stroke Rehabilitation

VR STROKE REHAB

Aims to determine the effectiveness of using novel technology of VR therapy as opposed to traditional therapy in promoting participation in daily physical activity of individuals with stroke.

http://cordis.europa.eu/projects/rcn/99230_en.html

AISENSE Completed

Ongoing

MetaPredict Completed

Human-Computer Interaction and Computer Vision for Improving Healthy Living of Elderly through Exer-gaming

Aims to build an exer-gaming system that allows elderly people to naturally interact with a virtual gaming environment through their body movements and assess their physical performance.

http://cordis.europa.eu/projects/rcn/99704_en.html

Social and Physical Urban Environment and Cardiovascular Health: The Much Needed Population Approach

HEART HEALTHY HOODS

Aims to measure specific aspects of the social and physical urban environment and to assess their tribution to cardiovascular risk.

http://cordis.europa.eu/projects/rcn/111524_en.html https://hhhproject.eu/

Developing predictors of the health benefits of exercise for individuals

Aims to discover biomarkers for personalising lifestyle strategies so that life-style advice can be personalised to better prevent metabolic diseases such as obesity, diabetes and cardiovascular problems.

http://cordis.europa.eu/projects/rcn/102238_en.html http://metapredict.eu/

FARSEEING Completed

DALI Completed

FAll Repository for the design of Smart and sElf-adaptive Environments prolonging INdependent livinG

Aims to provide an information basis for research and therapy development for fall prediction, prevention and support, by building the world’s largest fall repository.

http://farseeingresearch.eu/

Devices for Assisted Living

Aims to develop a mobility aid (the c-Walket) to offer support for autonomous mobility in open and partially structured environments.

http://www.ict-dali.eu/dali/

BEAT HEALTH Ongoing

REHAB@HOME Completed

SPLENDID Completed

Health and Wellness on the Beat

Aims to improve inofrmation parameters of maximizing the benefical effects of rhythmic stimulation on movement kinematics and phyisology

http://www.euromov.eu/beathealth/

Engaging Game-based Home Rehabilitation for Improved Quality of Life

Aims to extensively investigate issues related to long-term physical/cognitive rehabilitation processes and identify suitable technical solutions to efficiently support them.

http://www.rehabathome-project.eu/

Personalised Guide for Eating and Activity Behaviour for the Prevention of Obesity and Eating Disorders

SPLENDID aims to develop a Personalised Guidance System to help and train children and young adults to improve their eating and activity behaviour by detecting subjects at risk for developing obesity or eating disorders and offering them enhanced monitoring and guidance in order to prevent further disease progression. To this end it will monitor key parameters of eating and activity, such as food intake, meals structure, snacking, daily physical activity during real life; evaluate in real-time and offer guidance towards recommended behaviours.

http://cordis.europa.eu/projects/rcn/111354_en.htmlhttp://splendid-program.eu/

V-TIME Completed

DOREMI Completed

Virtual reality-Treadmill combined Intervention for enhancing Mobility and reducing falls in the Elderly

V-TIME combines cutting edge technology with emerging concepts from gerontology, neuroscience and rehabilitation to reduce fall risk. The major goal of the current proposal is to establish the beneficial effects of V-TIME training in a large (n=300) and diverse group of elderly via a multi-centre, prospective randomized controlled trial. Outcomes include post-training 6 month fall incidence rates (the primary outcome), gait, physical activity (e.g., steps walked in 7 days), cognitive function, quality of life, and neuroimaging measures (fNIRS, fMRI).

http://cordis.europa.eu/projects/rcn/101785_en.html

http://www.v-time.eu/index.php

Decrease of cOgnitive decline, malnutRition and sedEntariness by elderly empowerment in lifestyle Management and social Inclusion

The DOREMI project targets three conditions affecting the quality of life of elderly people: Malnutrition, Sedentariness, and Cognitive decline. The project will develop a systemic solution for elderly, able to prolong the functional and cognitive capacity by empowering, stimulating and unobtrusively monitoring daily activities. It promotes health by a constructive interaction between mind, body and social engagement. The effectiveness and impacts, on both users and on the healthcare system, will be proofed in with a set of pilots set up in Italy and UK, involving both elderly users and care providers.

http://cordis.europa.eu/projects/rcn/110829_en.html

http://www.doremi-fp7.eu/

FRAILOMIC Ongoing

PURGE Completed

Utility of omic-based biomarkers in characterizing older individuals at risk for frailty, its progression to disability and general consequences to health and well-being

Disability is usually preceded by a condition named frailty that encompasses changes associated with ageing, life styles and chronic diseases. The levels of blood and urine omic-based biomarkers (BMs) in old people will be selected from eight cohorts, which include up to 75,000 participants. Combining these lab BMs with clinical BMs, predictive, diagnostic and prognostic models will be developed, with its modulation by nutrition and physical activity, in general old population and in old people showing some characteristics that confer a high risk for developing frailty (selected cardiovascular risk factors and diseases).

http://cordis.europa.eu/projects/rcn/106299_en.html http://www.frailomic.org/

Public health impacts in URban environments of Greenhouse gas Emissions reduction strategies

The project will examine the health impacts of greenhouse gas (GHG) reduction policies in urban settings in Europe, China and India, using case studies of 3-4 large urban centres and three smaller urban centres. Mitigation actions will be defined in four main sectors: power generation/industry, household energy, transport and food and agriculture. The chief pathways by which such measures influence health will be described, and models developed to quantify changes in health-related 'exposures' and health behaviours.

http://cordis.europa.eu/projects/rcn/98685_en.html ; http://purge.lshtm.ac.uk/project

IDEFICS

EPODE Ongoing

Identification and prevention of Dietary- and lifestyle-induced health EFfects In Children and infantS

Focus on tv viewing (and other behaviours) in 2- to 10-year-old children

http://www.ideficsstudy.eu/Idefics/

Together Let’s Prevent Childhood Obesity

EPODE is a methodology designed to involve all relevant local stakeholders in an integrated and concrete prevention program aimed at facilitating the adoption of healthier lifestyles in the everyday life. EPODE has been further developed to the EPODE European Network (EEN). The EEN was designed in 2008 to facilitate the implementation of EPODE and other community-based interventions in European countries, regions and towns.

http://epode-international-network.com/

Body Composition Study N/A Ongoing

CHANCE Completed

GIFTS Completed

The University of Limerick Body Composition Study is a unique study that aims to examine the body composition of the adult population based around the University of Limerick Community. The University of Limerick Body Composition Study will provide a reference point for adult human body composition early in the 21st century. The ultimate value of the study is dependent on the ability to follow trends in the adult human body composition in current and future generations.

www.ul.ie/bodycompositionstudy

Low cost technologies and traditional ingredients for the production of affordable, nutritionally correct foods improving health in population groups at risk of poverty

Low cost technologies and traditional ingredients for the production of affordable, nutritionally correct foods improving health in population groups at risk of poverty

http://www.chancefood.eu/

Genomic and lifestyle predictors of foetal outcome relevant to diabetes and obesity and their relevance to prevention strategies in South Asian peoples

It is intended that GIFTS will enhance understanding of the convergence of genetic and environmental factors involved in developing diabetes and obesity, and their transmission through parent-child units.  The complex array of molecular, behavioural and societal factors conferring an increased risk of developing these conditions in later-life is also being investigated.

http://www.gifts-project.eu/drupal/

EPI-MIGRANTS Completed

I.FAMILY Ongoing

Identification of epigenetic markers underlying increased risk of Type 2 diabetes in South Asians

The project focuses on understanding the lifestyle, environmental, genetic and epigenetic factors causing variations in prevalence and incidence of T2D, in the leading world-wide resources of well characterised South Asian populations, who show increasing levels of T2D risk when migrating from rural to urban settings and countries overseas. 

http://www.epimigrant.eu/welcome

Investigating the determinants of food choice, lifestyle and health in European children, adolescents and their parents

The I.Family Study will investigate and report on the determinants of eating behaviour in European children, adolescents and their parents these issues, helping to identify the reasons why young people in Europe eat the way they do and how this influences lifelong health.

http://www.ifamilystudy.eu/

RODAM Completed

SIRS Ongoing

Research on Obesity and type 2 Diabetes among African Migrants

The proposed study will generate relevant results that will ultimately guide intervention programmes and will provide a basis for improving diagnosis and treatment among SSA migrants in Europe as well as in their counterparts in Africa and beyond.

http://rod-am.eu/home

Santé, Inégalités et Ruptures Sociales

“The health, inequalities and social ruptures” study is a cohort study among a representative sample of French-speaking adults in the Paris metropolitan area. The main aim is to investigate the relationships between individual, household and neighbourhood social characteristics, and health-related conditions.

http://www.programme-sirs.org/

ABENA Completed

HELIUS Ongoing

étude sur l’Alimentation et l’Etat Nutritionnel des Bénéficiaires de l’Aide alimentaire

The objectives of this study were to describe the socio-demographic profiles, dietary habits and nutritional status (obesity, blood pressure and biological markers) of the recipients of food aid in four urban areas of metropolitan France (Paris, Seine-Saint-Denis, Dijon, Marseille).

http://www.invs.sante.fr/Dossiers-thematiques/Maladies-chroniques-et-traumatismes/Nutrition-et-sante/Enquetes-et-etudes/Abena-alimentation-et-etat-nutritionnel-des-beneficiaires-de-l-aide-alimentaire

Healthy Life in Urban Setting

Health differences between populations can only partially be explained by socio economic circumstances. It is expected that the health difference may be explained by a complex interplay of factors including  genetics, culture, behavior and socio economic position. The project aims to unravel the mechanisms underlying the impact of ethnicity on communicable and non-communicable diseases.

http://www.heliusstudie.nl/

SU.VI.MAX Completed N/A

BHIS Ongoing

Supplementation with Antioxidant Vitamins and Minerals

A randomized double blind, placebo-control trial to test the efficacy of nutritional doses of supplementation with a combination of antioxidant vitamins and minerals in reducing the incidence of cancer and ischemic cardiovascular disease in the general population

Belgian Health Interview Survey

The Belgian Health Interview Survey (BHIS) is conducted every 4 to 5 years and includeds around 10,000 individuals in some 6,000 households. The survey aims to identify health problems, to describe the health status and health needs of the population, to estimate the prevalence and distribution of health indicators, to analyse social (in)equality in health and access to the health services, to study health consumption and its determinants and to study possible trends in the health status of the population.

https://his.wiv-isp.be/SitePages/Home.aspx

NutriNet-Santé Ongoing

ABCD study Ongoing

EATWELL Completed

The NutriNet-Santé study

The NutriNet-Santé study is an observational prospective cohort study (open cohort) which is being conducted for a scheduled follow-up of 10 years to study the relation between nutriton and health. 1. Study the relationship between food intake, nutrients and dietary behaviour on the one hand and global and specific mortality, incidence of cancers, cancer and cardiovascular disease (CVD), obesity and overweight, type II diabetes, hypertension, dyslipidemia, metabolic syndromes, and ageing and quality of life on the other hand. 2,Study the role of various determinants (sociological, economic, cultural, cognitive, perception, food preference, biological and genetic), the dietary patterns, the nutritional status and the health status. 3, Study the relationship between food intake, nutrients and dietary patterns and biological and clinical markers. 4. Survey the evolution of food intake and the nutritional status of the population over time. 5 Measure the level of exposure to alimentary risks. 6. Evaluate the impact of public health campaigns or activities (perception, efficacy, knowledge)

http://info.etude-nutrinet-sante.fr/en/node/2

Amsterdam Born Children and their Development

To examine the health of 8,000 children of different ethnic backgrounds in Amsterdam

www.abcd-study.nl

Interventions to Promote Healthy Eating Habits: Evaluation and Recommendations

Interventions to promote healthy eating habits: evaluation and recommendations

www.eatwellproject.eu

N/A Completed N/ADiet, overweight and nutrition-related diseases among Tunisian migrants versus non-migrant Tunisians and French

The study focused on Tunisian migrant men living in Languedoc-Roussillon, a French Mediterranean region which is historically a region of immigration. The study compared Tunisian migrant men age ≥ 18 y ("migrants") and two non-migrant male groups: French born in France ("French") and Tunisians living in Tunisia ("Tunisians") in terms of dietary and physica activity behaviors, weight status and nutrition-related diseases. The aim was to assess the effect of migration on overweight and morbidity linked to NCDs among Tunisian migrants in the south of France and the potential influence of socio-economic and individual factors.

N/A Completed No

The InterAct Consortium INTERACT Completed

The Healthy Growth Study

Study of school children using nationally representative school-based sampling method. Primarily aimed to describe body weight and nutritional status of children.

To establish the validity of three different physical activity questionnaires (EPIC-PAQ, RPAQ and IPAQ) using objective measures (Actiheart) as the criterion method)

http://www.srl.cam.ac.uk/epic/publications/InterAct-Consortium.shtml

Main publications Funding source Contact person Period of Data Collection

Main publications generated from the project/study Source of funding for the project/study

Contact person for the project/study

Start to finish of project/study

Rizov M. et al. (2012) The Russian food, alcohol and tobacco consumption patterns during transition. Coll Antropol, Dec;36(4):1143-54.

Dellava JE. et al. (2010) Price changes alone are not adequate to produce long-term dietary change. J Nutr. Oct;140(10):1887-91. doi: 10.3945/jn.110.125419.

Tudor-Locke C. et al. (2008) Patterns of physical activity and overweight among 7-13-year-old Russian children: a 7-year nationally representative monitoring study. Res Q Exerc Sport. Mar;79(1):10-7.

Stillman S. and D. Thomas (2008) Nutritional Status during an Economic Crisis: Evidence from Russia. Economic Journal 118 (531):1385-1417

Huffman SK., and M. Rizov (2007) Determinants of Obesity in Transition Economies: The Case of Russia. Economics and Human Biology 5 (3):379-91.

Adair LS., and BM. Popkin (2005) Are Child Eating Patterns Being Transformed Globally? Obesity 13:1281-99.

Jahns, L. et al. 2004. Within-and between-Person Variation in Nutrient Intakes of Russian and U. S. Children Differs by Sex and Age. Journal of Nutrition 134 (11):3114-20.

Current funding: Higher School of Economics,US National Institutes of Health (subcontract from Cornell University)

Coordinator: Dr. Barry Popkin, Carolina Population Center; University of North Carolina at Chapel Hill Email: popkin@unc.edu

Annually (beginning 1992), most recent survey data available: 2014 (round 22)

Klepp KL. et al. (2005) Promoting Fruit and Vegetable Consumption among European Schoolchildren: Rationale, Conceptualization and Design of the Pro Children Project. Ann Nutr Metab. 2005 Jul-Aug;49(4):212-20. Yngve A. et al. (2005) Fruit and vegetable intake in a sample of 11-year-old children in 9 European countries: The pro children cross-sectional survey. Ann Nutr Metab. 2005 Jul-Aug;49(4):236-45.

Sandvik C. et al. (2005) Personal, Social and Environmental Factors regarding Fruit and Vegetable Intake among Schoolchildren in Nine European Countries. Ann Nutr Metab. 2005 Jul-Aug;49(4):255-66.

Wolf A. et al. (2005) Fruit and vegetable intake of mothers of 11-year-old children in nine European countries: The pro children cross-sectional survey. Ann Nutr Metab. 2005 Jul-Aug;49(4):246-54.

Quality of Life and Management of Living Resources (Fifth Framework Programme of the European Commission) (QLK1-2001-00547)

Coordnator: Knut-Inge Klepp Project Manager: Mona Bjelland, Institute of Nutrition Research, University of Oslo, Email:mona.bjelland@medisin.uia.no

Knut-Inge Klepp, Email:k.i.klepp@medisin.uio.no

October - December 2003

2007, 2008, 2009

UNICEF December 2001

UNICEF, UNFPA 1999, 2005-2006, 2011

Lien N et al. (2010) Design of a 20-month comprehensive, multicomponent school-based randomised trial to promote healthy weight development among 11-13 year olds: The HEalth In Adolescents study., Scand J Public Health, 38, 5 Suppl, 38-51, doi: 10.1177/1403494810379894. Grydeland M et al. (2012) Correlates of weight status among Norwegian 11-year-olds: The HEIA study., BMC Public Health, 12, 1053, doi: 10.1186/1471-2458-12-1053. Grydeland M et al. (2013) Intervention effects on physical activity: the HEIA study - a cluster randomized controlled trial., Int J Behav Nutr Phys Act, 10, 17, doi: 10.1186/1479-5868-10-17.

Norwegian Research Council; Throne Holsts Nutrition Research Foundation, UiO; Norwegian School of Sport Sciences

Nanna Lien, Email: nanna.lien@medisin.uio.no

Rossi L, D’Arca T, Ferrari M, Branca F . Micro-Nutrient Status Survey in Kosovo. 2002. INRAN-UNICEF-Ministry of Health of Kosovo

Principal investigator: F. Branca National Research Institute for Food and Nutrition, Rome Email: f.branca@agora.it; Marika Ferrari, E-mail: marika.ferrari@entecra.it

Reports from each round of the survey are available at the following web link: http://mics.unicef.org/surveys

Marika Ferrari, Email: marika.ferrari@entecra.it;Dr. Vladimir Kenderovski, Email: kendrovski@yahoo.com;Dr. Zlatana Dimitrovska, Email:zdimitrovska@yahoo.com

Unknown 1998

2001

Branca F, Napoletano A, Coclite D, Rossi L. Armenia Health and Nutritional Status of Children and Women 1998. Rome, Italy: National Institute for Research on Food and Nutrition (INRAN) (Italy), 1998.

Marika Ferrari, Email: marika.ferrari@entecra.it;N. Mangasaryan, Email: nmangasaryan@unicef.org; Liana Hovakimyan, Email: lhovakimyan@unicef.org; Hasmik Aleksanyan, Email: haleksanyan@unicef.org

Branca F, Rossi L. The health and nutrition status of children under five and their mothers in the republic of Ingushetia (Russian Federation). Rome, National Research Institute for Food and Nutrition, 2001.

UNICEF, National Research Institute for Food and Nutrition in Rome

Marika Ferrari, Email: marika.ferrari@entecra.it

2007-2008Full list of publications available from the following web link: http://www.helenastudy.com/scientific.php Vicente-Rodriguez G. et al. (2007). Healthy Lifestyle by Nutrition in Adolescence (HELENA). A New EU Funded Project. Thérapie 2007; 62: 259-270. Kersting M. et al. (2007). Healthy Lifestyle in Europe by Nutrition in Adolescente. Ernährung 2007; 1: 17-22. Ruiz JR et al. (2011). Objectively measured physical activity and sedentary time in European adolescents: The HELENA Study. Am J Epidemiol 2011; 174: 173-184

Moreno et al. (2008). Assessing, understanding and modifying nutritional status, eating habits and physical activity in European adolescents: the HELENA (Healthy Lifestyle in Europe by Nutrition in Adolescence) Study.

European Community 6th RTD Framework Programme (FP6-2003-Food-2-A, FOOD-CT-2005-007034)

Professor Luis A. Moreno Aznar, Universidad de Zaragoz, Spain, Email: lmoreno@unizar.es

2002-2004

2002-2004

2003-2004

Brink E. et al. Long-term consumption of isoflavone-enriched foods does not affect bone mineral density, bone metabolism, or hormonal status in early postmenopausal women: a randomized, double-blind, placebo controlled study. Am J Clin Nutr. 2008. 87(3):761-70.

European Commission: FP5-LIFE QUALITY (QLK1-CT-2000-00431)

Elizabeth Brink, TNO Quality of Life, Business Unit BioSciences, Zeist, Netherlands.

Administrative contact: Giancarlo Viglione, National Institute of Research for Food and Nutrition, Roma, Italy Email: F.Brancafbr@euro.who.int

Hallund J et al. Soya isoflavone-enriched cereal bars affect markers of endothelial function in postmenopausal women. British Journal of Nutrition. 2006. 95, 1120-1126

European Commission: FP5-LIFE QUALITY (QLK1-CT-2001-00221) Administrative contact: Ernst Gravesen The Royal Veterinary and Agricultural University, Frederiskberg, Denmark

Dr J Hallund, Email: jeha@kvl.dk

Zenith-Zinc Effects on Nutrient/Nutrient Interactions and Trends in Health and Aging, Available at: http://www7.inra.fr/zenith/plaquettezenithV2.pdf Simpson E.E. et al. Health and lifestyle characteristics of older European adults: the ZENITH study. Eur J Clin Nutr. 2005 Nov;59 Suppl 2:S13-21. European Commission: FP5-LIFE QUALITY (QLK1-CT-2001-00168)Coordinator: Charles Coudray, Centre de Recherche en Nutrition Humaine d'Auvergne (CRNH), France coundray@clermont.inra.fr

Liz Simpson, Email: eea.simpson@ulster.ac.uk; Jacqueline McCormack, Email: jm.mccormack@ulster.ac.uk

2008, 2009, 2012, 2016Lazzeri G. et al. 2011 Relationship between 8/9-yr-old school children BMI, parents' BMI and educational level: a cross sectional survey. Nutr J. Jul 19;10:76. Lamberti A. et al. 2010. [Surveillance system OKkio alla SALUTE: the role of primary school in the promotion of healthy life style. Results of 2008]. [Article in Italian]. Ann Ig.  Nov-Dec;22(6):555-62. Spinelli A. et al. 2008. [Promotion of healthy life style and growth in primary school children (OKkio alla SALUTE)]. [Article in Italian]. Ann Ig. Jul-Aug;20(4):337-44.

Region of Tuscany (Resolution No. 800 of 13/10/2008 Gaining Health in Tuscany: facilitating healthy choices).

National Coordination: Angela Spinelli (Scientific) angela.spinelli@iss.it

Wijnhoven T. et al. 2014. WHO European Childhood Obesity Surveillance Initiative Implementation of round 1 (2007/2008) and round 2 (2009/2010). Europe: World Health Organisation

Wijnhoven TM et al. WHO European Childhood Obesity Surveillance Initiative: body mass index and level of overweight among 6-9-year-old children from school year 2007/2008 to school year 2009/2010. BMC Public Health. 2014 Aug 7;14:806. doi: 10.1186/1471-2458-14-806.

National funding in each country (See page V in Winjhoven T. et al (2014), WHO European Childhood Obesity Surveillance Initiative Implementation of round 1 (2007/2008) and round 2 (2009/2010). World Health Organisation 2014 for individual country details)

International Coordinator COSI- Trudy Wijnhoven, WHO Regional Office for Europe.tni.ohw.orue@iwtEach country individually led (See Annex 1. Country Contributors in Winjhoven T. et al (2014), WHO European Childhood Obesity Surveillance Initiative Implementation of round 1 (2007/2008) and round 2 (2009/2010). World Health Organisation 2014.)

2008, 2009, 2012 Round 1 data colleceted: September 2007- December 2008; Round 2 data collected: September 2009- May 2011 Round 3 data collected: n/a (Round 4 planned for 2015/2016 school year)

Unknown 2006, 2010

Unknown 2002, 2006, 2010, 2014

Secondo Rapporto sui dati toscani dello studio Hbsc 2005-2006 , Stili di vita e salute dei giovani toscani (Second Report on the data Tuscan HBSC 2005-2006 Lifestyle and health of young Tuscans) Rapporto sui dati toscani dello studio HBSC 2003-2004, Stili di vita e salute dei giovani toscani (Report on data Tuscan HBSC 2003-2004 Lifestyle and health of young Tuscans)

Prof. Mariano Giacchi, giacchi@unisi.it

Full list of national reports available from the following web link: http://www.hbsc.unito.it/en/index.php?option=com_content&view=article&id=92&Itemid=119

Principal Investigator: Franco Cavallo, University of Turin, Torino, Italy, franco.cavallo@hbsc.org

Full list of publications available from the following web link: http://www.hbsc.org/publications/

Independently funded in each country

International Coordinator: Professor Candace Currie (cec53@st-andrews.ac.uk), HBSC International Coordinating Centre, info@hbsc.org  Oddrun Sambal Oddrun.Samdal@uib.no New international coordinator; Jo Inchley (jci2@st-andrews.ac.uk)

1994, 1998, 2002, 2006, 2010

1985/86, 1989/90, 1993/94, 1997/98, 2001/02, 2005/06, 2009/2010 and 2013/14.

Oct 2005 - Dec 2006

None found.

Leclercq C et al. On behalf of the INRAN-SCAI 2005-2006 Study Group. The Italian National Food Consumption Survey INRAN-SCAI 2005-2006: main results in terms of food consumption. Public Health Nutr 2009; 12: 2504-2532. Sette S et al. On behalf of the INRAN-SCAI 2005-2006 Study Group. The third Italian National Food Consumption Survey, INRAN-SCAI 2005-2006 Part 1: Nutrient intakes in Italy, Nutr Metab Cardiovasc Dis 2011; 21: 922-932. Sette S et al; INRAN-SCAI 2005–06 study group.The third National Food Consumption Survey, INRAN-SCAI 2005-06: major dietary sources of nutrients in Italy. Int J Food Sci Nutr. 2013; 64: 1014-21.

INRAN-SCAI 2005/06 survey was carried out within theproject ‘Qualita` Alimentare’ whereas the analysis of foodconsumption data in terms of nutrients was performedwithin the project ‘Palingenio’; both projects were supportedby the Italian Ministry of Agriculture, Food andForestry Policy.

Aida Turrini, Email: aida.turrini@entecra.it; Marco Vassallo, Email: marco.vassallo@entecra.it Anna Saba, Email: anna.saba@entecra.itStefania Sette, Email:stefania.sette@entecra.it

Italian Office for National Statistics ISTAT

Service Households economic conditions. Operating Unit - Survey of Household Consumption:Donatella Grassi, Email: dograssi@istat.it Mario Mazzocchi , Email: m.mazzocchi@unibo.it

Sara Capacci, Email: sara.capacci@unibo.it

Sante Orsini, Email:orsini@istat.it

Year 1869-2013 (1st January -31st December each year)

1993- present

April - May 2009

Italian Office for National Statistics ISTAT

Sara Capacci, Email: sara.capacci@unibo.it

Roccaldo et al. Adherenece to the Mediterranean diet in Italian school children (The ZOOM8 Study). International Journal of Food Sciences and Nutrition, 2014. 65(5), 621-628.

Martone et al. Food consumption and nutrient intake in Italian school children: results sof the ZOOM8 study. International Journal of Food Sciences and Nutrition. 2013. 64(6), 700-705.

Galfo M et al. Screen-based sedentary behaviours in geographic areas with different levels of childhood overweight and obesity : the Italian ZOOM8 study. Epidemiol. Biostat. Public Heal. 2014;11(3):1-11.

Italian Ministry of Health/Centre for Disease Prevention and Control, Chapter 4393/2005 – CCM

Giuseppe La Torre, Email: giuseppe.latorre@uniroma1.it;

Deborah Martone, Email: deborah.martone@entecra.it;

Romana Roccaldo, Email: romana.roccaldo@entecra.it;

Laura Censi, Email: laura.censi@entecra.it

2009-2010Baldissera et al. Features and initial assessment of the Italian Behavioral Risk Factor Surveillance System (PASSI), 2007-2008. Prev Chronic Dis 2011;8(1):A24. .

Baldissera et al. Field substitution of nonresponders can maintain sample size and structure without altering survey estimates - the experience of the Italian behavioral risk factors surveillance system (PASSI). Annals of Epidemiology, 2014, 24(4), 241-245.

The CCM of the Italian Ministry of Health provided funding for this study

Giuseppe La Torre, Email: giuseppe.latorre@uniroma1.it;

Stefano Campostrini, Email: stefano.campostrini@unive.it

Since 1985Full list of publications available from the following web link: https://www.ernaehrungsepidemiologie.uni-bonn.de/forschung/donald-1/publikationen Kroke et al. The DONALD Study. European Journal of Nutrition. 2004. 43(1), 45-54.

Karaolis-Danckert et al. Birth and early life influences on the timing of puberty onset: results from the DONALD (DOrtmund Nutritional and Anthropometric Longitudinally Designed) Study. American Journal of Clinical Nutrition. 2009. 90(6), 1559-1565.

Alexy et al. Evaluation of dietary fibre intake from infancy to adolescence against various references-results of the DONALD Study. European Journal of Clinical Nutrition. 2006. 60(7), 909-914.

Ministry of Science and Research of North Rhine Westphalia, Germany

Ute Nöthlings, Email: noethlings@uni-bonn.de;

Anja Kroke, Email: Kroke@fke-do.de;

Anette Buyken, Email: buyken@fke-do.de

German National Cohort (GNC) Consortium. The German National Cohort: aims, study design and organization. Eur J Epidemiol. 2014 May;29(5):371-82.

The German federal and local state governments and the Helmholtz Association cover the main part of the overall budget, and approved a budget plan for the first 10 years of the project.

Heiner Boeing, Email: boeing@dife.de

Since 2014 (Follow up over a period of 25–30 years)

2002-2003Bayerische Verzehrsstudie (BVS) II Abschlussbericht, Himmerich, Gedrich, Karg, im Auftrag des Bayerischen Staatsministeriums für Umwelt, Gesundheit und Verbraucherschutz [Bavarian Food Consumption Survey (BNS) II final report, Himmerich, Gedrich, Karg on behalf of the Bavarian State Ministry of Environment, Health and Consumer Protection] Schaller N. et al. Estimated physical activity in Bavaria, Germany, and its implications for obesity risk: Results from the BVS-II Study. Int J of Behav Nut & Phys Act, 2005, 2:6 doi:10.1186/1479-5868-2-6 Rzehak et al. Evidence for an association between genetic variants of the fatty acid desaturase 1 fatty acid desaturase 2 ( FADS1 FADS2) gene cluster and the fatty acid composition of erythrocyte membranes. British Journal of Nutrition, 2009. 101, 20-26.

Bavarian Ministry of Environment, Health & Consumer Protection & the Kurt-Eberhard-Bode-Stifting

Project Manager: Prof. Dr. Georg Karg, Ph.D.

Jakob Linseisen, Email: j.linseisen@helmholtz-muenchen.de

Heuer et al. Food consumption of adults in Germany: results of the German National Nutrition Survey II based on diet history interviews. British Journal of Nutrition, 2015, 113(10):1603-14

Eisinger-Watzl et al. Comparison of two dietary assessment methods by food consumption: results of the German National Nutrition Survey II. European Journal of Nutrition, 2015, 54 (3), 343–354 .

Martiniak et al. Intake of dietary folate and folic acid in Germany based on different scenarios for food fortification with folic acid. European Journal of Nutrition, 2014) (Online first, DOI 10.1007/s00394-014-0781-1).

German Federal Ministry of Food, Agriculture and Consumer Protection (BMELV)

Dr. Thorsten Heuer, Prof. Dr. Ingrid Hoffmann. Max Rubner-Institut, Department of Nutritional Behaviour, Haid-und-Neu-Straße 9, 76131 Karlsruhe. Tel.: +49 721 6625-263. E-mail: Thorsten.Heuer@mri.bund.de

November 2005- January 2007

2010-2014Hummel S. et al. Postpartum Outcomes in Women with Gestational Diabetes and their Offspring: POGO Study Design and First-Year Results Rev Diabet Stud, 2013, 10(1):49-57

German Federal Ministry of Education and Research (BMBF), the German Center for Diabetes Research (DZD e.V.) & the German Diabetes Association.

Andreas Beyerlein, Email: andreas.beyerlein@helmholtz-muenchen.de

2001-2009

FP7 Health Not reported

Full list of publications available from: http://www.helmholtz-muenchen.de/idf/publikationen/index.html

Schmid et al. 2004. BABYDIET, a feasibility study to prevent the appearance of islet autoantibodies in relatives of patients with Type 1 diabetes by delaying exposure to gluten.

Winkler C, Hummel S, Pflüger M, Ziegler AG, Geppert J, Demmelmair H, Koletzko B. The effect of maternal T1DM on the fatty acid composition of erythrocyte phosphatidylcholine and phosphatidylethanolamine in infants during early life. Eur J Nutr. 2008 Apr;47(3):145-52. Epub 2008 Apr 28.

Institut fur Diabetesforschung, Munich, Germany

Principle Investigator: Anette G Ziegler, MD, Email: aziegler.idf@helmholtz-muenchen.de

Full list of publications available at the following web link: http://www.neurofast.eu/publications/

Project Coordinator: Prof Suzanne L Dickson, Email:suzanne.dickson@gu.se

FP7 Health Not reportedFull list of publication available from the following web link: http://www.full4health.eu/publications/original-research/

Project Coordinator:Prof. Julian Mercer, Email:j.mercer@abdn.ac.uk

FP7 Health 2010-2014Full list of publications available from the following web link: http://www.toybox-study.eu/?q=node/239

Project coordinator: Yannis Manios, Email: manios@hua.gr; Project manager: Odysseas Androutsos, Email oandrou@hua.gr

FP7 Health April 2009 - Sept 2013Duda, J.L., et al. (2013). International Journal of Sport and Exercise Psychology, 11(4) (Special edition on PAPA)

Joan Duda, Email:j.l.duda@bham.ac.uk

7FP Jan 2012 - Dec 2014Martikainen, P., Mäkelä, P., Peltonen, R., & Mikkko, M. (2014). Income differences in life expecetancy: The changing Contribution of harmful consuption of alcohol and smoking. Epidemiology, 25(2), 182-190.

Paljärvi, T., et al. (2014). Non-employment histories of middle-aged men and women who died from alcohol-related causes: A longitudinal retrospective study. PLoS One, 9(5): e98620

Harhay, M.O., et al. (2014). Differential impact of the economic recession on alcohol use among white British adults, 2004-2010. European Journal of Public Health, 24(3), 410-415.

Reeves et al. (2014). Economic shocks, resilience, and male suicides in the Great Recession: cross-national anlaysis of 20 EU countries. European Journal of Public Health.

Tapio Paljarvi, Email: tapio.paljarvi@thl.fi

7FP - IMI Sept 2009 - Aug 2014

7FP CORDIS Mar 2012- Feb 2015

Dobbels, F. et al. (2014). The PROactive innovative conceptual framework on physical activity. European Respiratory Journal, in print.

Gimeno-Santos, E. et al. (2014). Determinants and outcomes of physical activity in patients with COPD: a systematic review. Thorax, 69(8), 731-739.

van Remoortel, H. et al. (2012). Validity of six activity monitors in chronic obstructive pulmonary disease: a comparison with indirect calorimetry. PLoS One, 7(6): e39198.

Gimeno-Santos, E. et al. (2011). Validity of instruments to measure physical activity may be questionable due to a lack of conceptual frameworks: a systematic review. Health and Quality of Life Outcomes, 9:86.

Dr Caterina Brindicci and Professor Thierry Troosters, Email: info@proactivecopd.com;

F Dobbels, Email: fabienne.dobbels@med.kuleuven.be

Mackenbach JD et al.(2014) Obesogenic environments: a systematic review of the association between the physical environment and adult weight status. The SPOTLIGHT project. BMC Public Health. 14:233.

Charreire H et al. (2013) Using remote sensing to define environmental characteristics related to physical activity and dietary behaviours: A systematic review (the SPOTLIGHT project). Health and Place Oct 23;25C:1-9

Lakerveld J et al. (2012). Sustainable prevention of obesity through integrated strategies: The SPOTLIGHT project's conceptual framework and design. BMC Public Health 12:793. DOI: 10.1186/1471-2458-12-793

Jeroen Lakerveld, PhD, Email: j.lakerveld@vumc.nl

7FP CORDIS Feb 2009 - Mar 2013

No publications avaliable 7FP-CORDIS Sept 2010 - Dec 2013

No publications avaliable 7FP-CORDIS Sept 2013 - Aug 2016

Emely De Vet et al. Assessing self-regulation strategies: development and validation of the tempest self-regulation questionnaire for eating (TESQ-E) in adolescents. Int J Behav Nutr Phys Act. 2014; 11(1): 106

Marijn Stok, Email:f.m.stok@uu.nl;

Professor Denise de Ridder, Email: d.t.d.deridder@uu.nl

Sebastian Menzel, Email: afresh@region-stuttgart.de

Prof. Maria Luisa Brandi, Email: info@c4h.it; marialuisa.brandi@unifi.it

7FP-CORDIS Feb 2009 - Mar 2010

7FP-CORDIS Nov 2013 - June 2017

7FP-CORDIS Jan 2007 - Mar 2010

Full list of publications available from the following web link: http://www.projectenergy.eu/flash.htmlAmika Singh, Email: energy@vumc.nl

van Nassau F et al. Study protocol of European Fans in Training (EuroFIT): a four-country randomised controlled trial of a lifestyle program for men delivered in elite football clubs. BMC Public Health. 2016;16:598. doi: 10.1186/s12889-016-3255-y.

Sally Wyke, Email: Sally.Wyke@glasgow.ac.uk

Full list of publications available from the following web link: http://prevob.lshtm.ac.uk/publications.html

Martin McKee, Email: martin.mckee@lshtm.ac.uk Administrative Coordinator: Pamela Harling EURO-PREVOB London School of Hygiene & Tropical Medicine, Email: europrevob@lshtm.ac.uk

7FP-CORDIS Nov 2014 - Oct 2017

7FP-CORDIS Oct 2011 - Sept 2016

Full list of publications available from the following web link: http://www.pastaproject.eu/resources/publications/

Tina Uhlmann, Email: tina.uhlmann@boku.ac.at ; info@pastaproject.eu ;

Sandra Wegener, Email: sandra.wegener@boku.ac.at

Full list of publications available from the following web link: http://www.repopa.eu/content/publications

Coordinator: Arja R. Aro, Email: araro@health.sdu.dk

DG Health & Consumers 1992 - 2003

DG Health & Consumers 2005 - 2008

Bamia C et al. Dietary patterns among older Europeans: the EPIC-Elderly study. Br J Nutr. 2005 Jul;94(1):100-13. Bamia C et al. Dietary patterns and survival of older Europeans: the EPIC-Elderly Study (European Prospective Investigation into Cancer and Nutrition). Public Health Nutr. 2007 Jun;10(6):590-8. Trichopoulou A et al. Modified Mediterranean diet and survival: EPIC-Elderly prospective cohort study. BMJ. 2005 Apr 30;330(7498):991. Trichopoulou A et al. Modified Mediterranean diet and survival after myocardial infarction: the EPIC-Elderly study. Eur J Epidemiol. 2007;22(12):871-81. Bamia C et al. Weight change in later life and risk of death amongst the elderly: the European Prospective Investigation into Cancer and Nutrition-Elderly Network on Ageing and Health study. J Intern Med. 2010 Aug;268(2):133-44.

Antonia Trichopoulou, Email: atrichopoulou@hhf-greece.gr

Dr Isabelle Romieu, Email: romieui@iarc.fr

Schwarz PE et al. The European perspective of type 2 diabetes prevention: diabetes in Europe - prevention using lifestyle, physical activity and nutritional intervention (DE-PLAN) project. Exp Clin Endocrinol Diabetes. 2008, 116(3):167-72.

Peter Schwarz, Email: peter.schwarz@uniklinikum-dresden.deProf. Jaakko Tuomilehto (University of Helsinki)

DG health and consumers Jan 2010 - Feb 2013

DG health and consumers Jan 2009 - Dec 2010

Lucas P et al. How are European birth-cohort studies engaging and consulting with young cohort members? BMC Medical Research Methodology, 2013, 13(1), 56. Bousquet, J et al. Pooling birth cohorts in allergy and asthma: European Union-funded initiatives - a MeDALL, CHICOS, ENRIECO, and GA(2)LEN joint paper. Int Arch Allergy Immunol, 2013, 161(1), 1-10.

Dr. Martine Vrijheid, PhD Center for Research in Environmental Epidemiology (CREAL), Email: mvrijheid@creal.cat

Reports relating to key results of the project are available from the following web link: http://www.impala-eu.org/results/overview/

Prof. Dr. Alfred Rütten, Email: alfred.ruetten@sport.uni-erlangen.de ; impala@sport.uni-erlangen.de

Jan 2009 - July 2011EU Health Programme 2008-2013

Prof Dr Alfred Rutten, Email: issinfo@sport.uni-erlgen.de

June 2007 - May 2008

Sept 2013 - Dec 2016

Full list of publications available from the following web link:https://sites.google.com/site/alphaprojectphysicalactivity/publications

Evidence-based Guidelines for the Accurate Assessment of Physical Activity and Fitness at Population Levelhttps://sites.google.com/site/alphaprojectphysicalactivity/alpha-public-documents/booklet

EU Health Programme 2008-2013

Michael Sjöström, Email: michael.sjostrom@ki.se

Jonatan R Ruiz, Email: jonatan.ruiz.ruiz@ki.se, ruizj@ugr.es

Francisco B Ortega, Email: francisco.ortega-porcel@ki.se, ortegaf@ugr.es

List of publications available from the following web link: http://www.chrodis.eu/outcomes-results/scientific-publications/EU Health Programme 2008-2013

Juan Riese, Email: jriese@isciii.es ;Marie Roseline Darnycka Belizaire, Email: mbelizaire@externos.isciii.es Mercedes Garcia, Email: mgarciag@isciii.es

Feb 2013 - Aug 2016

FP7 Mar 2011 - Mar 2014

Jan 2008 - Jan 2010

EU Health Programme 2008-2013

Project Coordinator: Goof Buijs, Email: g.buijs@cbo.nl

A collection of over 100 good practices on the promotion of health enhancing physical activity among socially disadvantaged groups identified from the project are available from the following web link: http://wemoveyou.eu/

Mikkelsen et al. A systematic review of types of healthy eating interventions in preschools. Nutrition Journal 2014 13:56.Presentation of survey results on the eating habits and lifestyles of children in Italy, Denmark and Polandhttp://www.menu.aau.dk/digitalAssets/59/59692_mini-rapport-conference.pdf

EU Health Programme 2008-2013

Sanne Sansolios, Email: spla@plan.aau.dk

2006 - 2008

European Commission 2004-2007

Shape Up Europe:http://www.shapeupeurope.net/files/media/media32.pdfShape Up: towards a healthy and balanced growing up - Draft final evaluation report http://www2.hull.ac.uk/ifl/pdf/IFL-R_ShapeUpFinalReport.pdf

EU Health Programme 2008-2013

Northern EuropeDanish University of Eudcation, vs@dpu.dk, Southern EuropeP.A.U. Education, Email: barabara.mayoral@paueducation.com; Central and Eastern EuropeSchulen ans Netz, Email: ursula.esser@schulen-ans-netz.de;Jo Pike, Email: j.pike@leeds.ac.uk;Derek Colquhoun, Email: d.colquhoun@hull.ac.uk

EUROTHINE - Tackling health inequalities in Europe: an integrated approach. Final reporthttp://ec.europa.eu/health/ph_projects/2003/action1/docs/2003_1_16_frep_en.pdf

Demarest et al. (2014) Educational inequalities in leisure-time physical activity in 15 European countries. European Journal of Public Health, 24(2), 199-204.

Anton Kunst, Email: a.kunst@erasmusmc.nl

Stefaan Demarest, Email: stefaan.demarest@wiv-isp.be

European Research Council Oct 2011 - Sept 2016

European Commission 2013

EU FP7 Jan 2012 - Jan 2016

Research outputs are available from the following web link: http://www.research.ed.ac.uk/portal/en/projects/phybehi-physical-built-environments-and-health-inequalities(46fc8ba1-ed2c-45be-b46e-796e5be9a1b3).htmlRibeiro et al (2013). Physical activity-friendly neighbourhood among older adults from a medium size urban setting in Southern Europe. Preventive Medicine, 57(5), 664-670.Richardson et al (2013). Role of physical acitivity in the relationship between urban green space and health. Public Health, 127, 318-324.

Jamie Pearce, Email: jamie.pearce@ed.ac.uk

Health inequalities in the EU - final reporthttp://ec.europa.eu/health/social_determinants/docs/healthinequalitiesineu_2013_en.pdfExpert review and proposals for measurement of health inequalities in the European Union http://ec.europa.eu/health/social_determinants/docs/full_quantos_en.pdf

Prof Michael Marmot, Email: m.marmot@ucl.ac.uk

Nieuwenhuijsen et al. (2014). Positive health effects of the natural outdoor environment in typical populatiosn in different regions in Europe (PHENOTYPE): a study programme protocol. BMJ Open, 4. doi:10.1136/bmjopen-2014-004951

Dr Diana van Gent, Email: dvangent@creal.cat

FP7 Health Feb 2010 - Jan 2015

FP7 Health Sept 2011 - May 2013

Full list of publications available from the following web link: http://www.chancesfp7.eu/papers.htmlA. Trichopoulou, Email: atrichopoulou@hhf-greece.gr

Rand et al. Eliciting upper extremity purposeful movements using video games: A comparison with traditional therapy for stroke rehabilitation. Neurorehabilitation and Neural Repair, 2014, doi: 10.1177/1545968314521008

Lea Pais, Email: leapais@post.tau.ac.il

Publications not available yet FP7 Health Aug 2011 - Jul 2015

FP7 Health Apr 2014 - Mar 2019

FP7 Health Jan 2011 - Nov 2015

Ata Mugan

Hülya Yalçın, Email: hulyayalcin@itu.edu.tr

Full list of publications available from the following web link: https://hhhproject.eu/publications/scientific-publications/ Diez et al. (2014). Measuring the food, tobacco, alcohol and physical acitivty urban environemnts in relation to cardiovascular health: The Heart Healthy Hoods Pilot Study in Madrid, Spain. Circulation, 129: AP312.

Marta GUTIÃRREZ DE �TERÃN�Tel.: +34-918854376

M Franco, Email: mfranco@uah.es;

Julia Diez, Email: julia.diez@uah.es

Full list of publications available from the following web link: http://metapredict.eu/publications/ Lessard et al. (2013) . Resistance to aerobic exercise training causes metabolic dysfunction and reveals novel exercises-regulated signaling networks. Diabetes, 62, 2717-2727.

Christopher MalinsTel.: +44 1509 222421

Olav Rooyackers, Email: Olav.Rooyackers@ki.se

FP7 ICT 2012-2015

FP7 Health Nov 2011 - Oct 2014

Full list of publications available from the following web link: http://farseeingresearch.eu/category/resources/farseeing-publications-and-presentations/ Jorgensen et al. (2014). Intra-Rater Reproducibility and Validity of Nintendo Wii Balance Testing in Community-Dwelling Older Adults.Journal of Aging and Physical Activity, 22, 269-275.Silveira et al. (2013). Motivating and assisting physical exercise in independently living older adults: a pilot study. International Journal of Medical Informatics, 82(5), 325-334.Cattelani L et al. FRAT-up, a Web-based fall-risk assessment tool for elderly people living in the community. JMed Internet Res. 2015 Feb 18;17(2):e41. doi: 10.2196/jmir.4064.

Lorenzo Chiari, Email: lorenzo.chiari@unibo.it

- Pivato et al. (2012). Performance evaluation of chirp spread spectrum ranging for indoor embedded navigation systems. 7th IEEE International Symposium on Industiral Embedded Systems, 307-310. - Bright & Coventry (2013). Assistive technology for older adults: psychological and socio-emotional design requirements. Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments.- Publishable summary http://cordis.europa.eu/docs/projects/cnect/7/288917/080/reports/001-PublishableSummaryDALiP1.pdf

Luigi Palopoli, Email: palopoli@disi.unitn.it

FP7 Health Oct 2013 - Sept 2016

FP7 Health Oct 2012 - Sept 2013

FP7 Health Oct 2013 - Sept 2016

Full list of publications available from the following web link: http://www.euromov.eu/beathealth/publications/public-publications

Claudine CoppinTel.: +33 4 34 43 33 48

Sonja Kotz, Email kotz@cbs.mpg.de

Simone Dalla-Bella, Email: simone.dalla-bella@univ-montp1.fr

Faria et al. (2013). Rehab@home: a tool for homme-based motor function rehabilitation. Disabil Rehabil Assist Technol. 2015;10(1):67-74.

Prof. Dr. Michael Lawo, Email: mlawo@cs.uni-bremen.de

Full list of publications available from the following web link: http://splendid-program.eu/scientificpublications/

Anastasios Delopoulos, Email: adelo@eng.auth.gr

FP7 Health Jan 2012 - Dec 2015

FP7 Health Nov 2013 - Oct 2016

Full list of publications available from the following web link: http://www.v-time.eu/publications Mirelman et al. (2013). V-TIME: a treadmill training program augmented by virtual reality to decrease fall risk in older adults: study design of a randomized controlled trial. BMC Neurology, 13, 15, http://dx.doi.org/10.1186/1471-2377-13-15

Mirelman et al. (2013). Virtual Reality and Motor Imagery: Promising Tools for Assessment and Therapy in Parkinson's disease. Movement Disorders, 28(11), 1597-1608.

A. Mirelman, Email: anatmi@tasmc.health.gov.il

Full list of documents and publications available from the following web link: http://cordis.europa.eu/project/rcn/110829_en.html

Project coordinator: Prof. Oberdan Parodi, Email: oberpar@tin.itProject manager: Dr. Michela Rial, Email: michela.rial@ifc.cnr.it

FP7 Health Jan 2013 - Dec 2017

FP7 Health Feb 2011 - Jul 2014

Garcia-garcia et al. (2014). A New Operational Definition of Frailty: The Frailty Trait Scale. Journal of Post-Acute and Long-Term Care Medicine, 15(5), 371.Leon-munoz et al (2013). Continued Sedentariness, Change in Sitting Time, and Mortality in Older Adults. Medicine and Science in Sports and Exercise, 45(8), 1501-1507.Martinez-gomez et al (2014). Household physical activity and mortality in older adults: A national cohort study in Spain. Preventive Medicine, 61, 14-19.

David Martínez-Gómez, Email: d.martinez@uam.es

Professor Leocadio Rodriguez Mañas, Email: lrodriguez.hugf@salud.madrid.org

Full list of publications available from the following web link: http://purge.lshtm.ac.uk/publications-and-outcomes Jones et al (2013). The Effect of Party Wall Permeability on Estimations of Infiltration from Air Leakage. International Journal of Ventilation, 12 (1). pp. 17-29.

Milner et al. (2012). Urban energy, carbon management (low carbon cities) and co-benefits for human health. Current Opinion in Environmental Sustainability, 4 (4). pp. 398-404.

Daz et al (2013). Multi-objective methods for determining optimal ventilation rates in dwellings. Building and Environment, 66 (72-81).

Prof Paul Wilkinson, Email: paul.wilkinson@lshtm.ac.uk

DG Health and Consumers

Ahrens et al. (2011) The IDEFICS cohort: design, characteristics and participation in the baseline survey. International Journal of Obesity (2011) 35, S3–S15; doi:10.1038/ijo.2011.30 Börnhorst C et al. Associations between early body mass index trajectories and later metabolic risk factors in European children: the IDEFICS study. Eur J Epidemiol. 31(5):513-25.

European Community 6th RTD Framework Programme

Dr W Ahrens ahrens@bips.uni-bremen.de

09/2007 - 05/2008, 09-10/2009 05-06/2010, 09/2010 - 01/2011

Full list of publications available from the following web link: http://epode-international-network.com/resources/publications Borys J M et al. (2012) EPODE approach for childhood obesity prevention: methods, progress and international development. Obes Rev, 13(4), 299-315. Pettigrew S et al. (2014). Process evaluation outcomes from a global child obesity prevention intervention. BMC Public Health, 14, 757. Borys JM et al. Preventing Childhood Obesity: EPODE European Network Recommendations, Lavoisier, Paris, 2011.

Dr JM Borys, Email: borys@villesante.com

The first EPODE programme was started in France in the 2003 and EPODE now extends to nearly 1,8 million inhabitants in 167 French cities, 20 cities in Spain and 8 cities in Belgium.

Not reported

FP7 Health Nov 2011 - Jan 2014

European Framework 7 Feb 2012 - Jan 2015

Full list of publications available from the following web link: http://ulsites.ul.ie/bodycompositionstudy/publications-4 Toomey C et al. Technical considerations for accurate measurement of subcutaneous adipose tissue using real-time, B-mode ultrasound. Ultrasound 2011;19:91-96.

We are actively seeking long-term funding to realise the future value of the study.

Principal Researcher: Phil Jakeman, Email: Phil.Jakeman@ul.ie ; bodycompinfo@ul.ie

Nikolić M et al. (2014) Identifying Critical Nutrient Intake in Groups at Risk of Poverty in Europe: The CHANCE Project Approach. Nutrients, 6, 1374-1392 (This publication is a result of research which was conducted during the EU-funded CHANCE project (GA N. 266331)).

Prof. Francesco Capozzi, Email: francesco.capozzi@unibo.it

Prof. Alessandra Bordoni

Greenhalgh T et al. Socio-cultural influences on the behaviour of South Asian women with diabetes in pregnancy: qualitative study using a multi-level theoretical approach. BMC Medicine 2015, 13:120. Rayanagoudar G et al. Quantification of the type 2 diabetes risk in women with gestational diabetes: a systematic review and meta-analysis of 95,750 women. S.Diabetologia. 2016 Jul;59(7):1403-11.

Professor G.A. Hitman, Email: g.a.hitman@qmul.ac.uk

http://www.epimigrant.eu/media FP7 Health Jan 2007 - Mar 2010

FP7 Mar 2012 - Mar 2017

Project investigator: Dr John Chambers, Email: john.chambers@imperial.ac.uk

Project coordinator: Gray Elkington, Email: j.elkington@imperial.ac.uk

Full list of publications available from the following web link: http://www.ifamilystudy.eu/project-publications/Project administration: Ina Alvarez Franco, Email: i.family@bips.uni-bremen.de

Project research: Dr Prof. Wolfgang Ahrens, Email: Ahrens@bips.uni-bremen.de

Jan 2012 - Dec 2014

From 2005

Rationale and cross-sectional study design of the Research on Obesity and type 2 Diabetes among African Migrants: the RODAM study. BMC Public Health 2014. doi: 10.1136/bmjopen-2014-004877

EU - FP7 (grant number: 278901).

Charles Agyemang , Email: c.o.agyemang@amc.uva.nl

Full list of publications available from the following web link: http://www.programme-sirs.org/les-resultats/les-publications-scientifiques/

French funding bodies including the National Research Agency , the Public Health Research Institute and the City of Paris.

Pierre Chauvin Directeur de recherche INSERM Epidémologiste, Email: pierre.chauvin@inserm.fr

Grange D et al. Alimentation et état nutritionnel des bénéficiaires de l'aide alimentaire. Etude Abena 2011-2012 et évolutions depuis 2004-2005. Observatoire régional de santé Ile-de-France, Institut de veille sanitaire, Institut national de prévention et d'éducation pour la santé ; 2013. 186 p. Grange D et al. Alimentation et état nutritionnel des bénéficiaires de l'aide alimentaire. Etude Abena 2011-2012 et évolutions depuis 2004-2005. Synthèse. Observatoire régional de santé Ile-de-France, Institut de veille sanitaire, Institut national de prévention et d'éducation pour la santé ; 2013. 4 p.

Scientific and financial partnerships from InVS, the Regional Health Observatory of Ile- De-France (ORS-IDF), Inpes and the Directorate-General for Social Cohesion (DGCS)

2004/2005 and 2011/2012

Full list of publications available from the web link: http://www.heliusstudy.nl/en/researchers/publications/ Stronks et al. Unravelling the impact of ethnicity on health in Europe: the HELIUS study. BMC Public Health 2013 Apr 27;13:402. doi: 10.1186/1471-2458-13-402.

Hartstiching, ZonMw, European Union

Karien Stronks, Email: k.stronks@amc.uva.nl

2010 - 2015 (Baseline collection, Follow up planned in coming years

1994-2002Hercberg et al. The SU.VI.MAX Study: a randomized, placebo-controlled trial of the health effects of antioxidant vitamins and minerals. Arch Intern Med. 2004 Nov 22;164(21):2335-42

The SU.VI.MAX project received public and private support.

Serge Hercberg, Email: s.hercberg@uren.smbh.univ-paris13.fr

Full list of publications available from the following web link: https://his.wiv-isp.be/SitePages/Publications.aspx

Federal government (FPS Public Health), the Flemish Community, the French Community, the Brussels’ region, the Walloon Region and the German Community

General enquiries: his@wiv-isp.be

1997, 2001, 2004, 2008, 2013 (variables measured can differ per survey year)

FP7 Health April 2009 - 2012

Full list of publications available from the following web link: http://info.etude-nutrinet-sante.fr/en/publication

Ministère de la Santé (DGS), Institut de Veille Sanitaire (InVS), Institut National de la Prévention et de l'Education pour la Santé (INPES), Fondation pour la Recherche Médicale (FRM), Institut National de la Santé et de la Recherche Médicale (INSERM), Institut National de la Recherche Agronomique (INRA), Conservatoire National des Arts et Métiers (CNAM) and Université Paris 13

Sandrine Péneau, Email: s.peneau@eren.smbh.univ-paris13.fr

Start: 2009. Planned follow-up of 10 years.

Full list of publications available from the following web link: http://abcd-studie.nl/hoofdpagina/for-researchers/publicatielijst/

Multiple funding sources. Full list available at: http://abcd-studie.nl/hoofdpagina/algemeen/sponsors/

Tanja G.M. Vrijkotte, Email: t.vrijkotte@amc.uva.nl

2003/2004, 2008/2010, 2015/2016

Full list of publications available from the following web link: http://eatwellproject.eu/en/Eatwell-research/Scientific-publications/

Bruce Traill, Email: w.b.traill@reading.ac.uk

Mario Mazzocchi, Email: m.mazzocchi@unibo.it

2004-2005Méjean C et al. Influence of socio-economic and lifestyle factors on overweight and nutrition related diseases among Tunisian migrants versus non-migrant Tunisians and French. BMC Public Health. 2007; 7:265. Méjean C et al. Diet quality of North African migrants in France partly explains their lower prevalence of dietrelated chronic conditions relative to their native French peers. Journal of Nutrition. 2007;137:2106-13. Méjean C et al. Dietary changes in Tunisian migrants in relation to length of residence in France, age at migration and their social ties with the country of origin. Public Health Nutrition. 2008;23:1-10.

IRD (Institut de Recherche pour le Développement, France), Research grant from the French Medical Research Foundation(FRM), European Union (INCO: Med ICA3-CT-2002-10011, TAHINA: Epidemiological Transition And Health Impact in North Africa)

Caroline Méjean, Email: c.mejean@uren.smbh.univ-paris13.fr

Dr Yves Martin- Prevel, Email: yves.martin-prevel@ird.fr

2007, 2009, 2010, 2011

2006-2007

Selected publications: Manios Y et al. (2014) Female sex, small size at birth and low family income increase the likelihood of insulin resistance in late childhood: the Healthy Growth Study. Pediatr Diabetes;15(1):41-50.Moschonis G et al. (2014) Identification of lifestyle patterns associated with obesity and fat mass in children: the Healthy Growth Study. Public Health Nutr;17(3):614-624.Manios Y et al. (2013) Revised Healthy Lifestyle-Diet Index and associations with obesity and iron deficiency in schoolchildren: The Healthy Growth Study. J Hum Nutr Diet;28(2):50-58Moschonis G et al. (2013) Increased physical activity combined with more eating occasions is beneficial against dyslipidemias in children. The Healthy Growth Study. European Journal of Nutrition;52(3):1135-44Moschonis G et al (2015) Association of distorted eating behaviors with cardiometabolic risk indices in preadolescents.The Healthy Growth Study. Appetite; 91:35–40

Co-financed by the European Union (European Social Fund – ESF) and Greek national funds through the Operational Programme ‘Education and Lifelong Learning’ of the National Strategic Reference Framework (NSRF) Research Funding Program: ‘Heracletus II. Investing in knowledge society through the European Social Fund’.

Dr Y. Manios, Email: manios@hua.gr

George Moschonis, Email: gmoschi@hua.gr

Golubic R et al. Validity of Electronically Administered Recent Physical Activity Questionnaire (RPAQ) in Ten European Countries. PloS one. 2014;9(3):e92829.InterAct C. Validity of a short questionnaire to assess physical activity in 10 European countries. European journal of epidemiology. 2012;27(1):15-25.

European Union (Integrated Project LSHM-CT-2006-037197 in the Framework Programme 6 of the European Community) and the Medical Research Council, UK (grant code MC_UU_12015/3)

Nick Wareham, Email: Nick.Wareham@mrc-epid.cam.ac.uk

Soren Brage, Email: Soren.Brage@mrc-epid.cam.ac.uk

Countries Involved Nature of dataset: Intervention Sample sizeSummary of dataset type

Nature of dataset: Cross-sectional

Nature of dataset: Longitudinal (including cohort)

Countries where participants were

recruited from

Summary of project/study

design

Does the project/study include cross-sectional design

Does the project/study include longitudinal design

Does the project/study include intervention design

Sample size of project/study

Russian Federation Yes Yes YesCross-sectional; longitudinal; intervention

Round 21: Adults (N=18,687) Children (N=3,847)

Cross-sectional Yes No No N=13,305Phase 1: Austria, Belgium, Denmark, Iceland, Netherlands, Norway, Portugal, Spain, Sweden Phase 2: Netherlands, Norway, Spain

Norway Intervention No No Yes N=1,528

Kosovo Cross-sectional Yes No No

Macedonia Cross-sectional Yes No No

N=1,310 households (N=2,229 infants 6-59 months, N=1,819 children 6-12 years, N=2,129 women)

N=4,018 households (N=3,831 women, N=1,376 children under 5) (2011)

Armenia Cross-sectional Yes No No

Russia Cross-sectional Yes No No

N=2,627 households (N=3,434 children, N=2,649 women)

N=1,417 households (N=1,464 women, n=2,048 children)

Yes No Yes N=3,000Austria, Belgium, France, Germany, Greece, Hungary, Italy, Spain, Sweden

Cross-sectional; Intervention

France, Netherlands, Italy Intervention No No Yes N=237

Denmark Intervention No No Yes N=26

France, Ireland, Italy Intervention No No Yes N=387

Tuscany Cross-sectional Yes No No

Cross-sectional Yes No No

N=52,000 children, N=2,400 school buildings, N=2,600 classes

21 European countries: Belgium (Flemish region), Bulgaria, Cyprus, Czech Republic, Ireland, Italy, Latvia, Lithuania, Malta, Norway, Portugal, Slovenia, Sweden, Greece, Hungary, Spain, former Yugoslav Republic of Macedonia, Albania, Republic of Moldova, Romania, Turkey

Round 1: N ≈ 168,815 Round 2: N ≈ 227,222 Round 3: N = N/A

Tuscany Cross-sectional Yes No No Unknown

Italy Cross-sectional Yes Yes No 2010: N=77,113

Cross-sectional Yes No No44 countries (incl Europe, N America and Middle East)

2010: N = 209,3202014: N = 219,460

Italy Cross-sectional Yes No No

Italy Cross-sectional Yes No No

N=1,329 households ; N=3,323 individual (N=1,501 males and N=1,822 females)

Every year: N=~28,000

Italy Cross-sectional Yes No No

Italy Cross-sectional Yes No No

N=19,000 households interviewed per year (about N=48,000 individuals)

N=2,193 Italian third grade school children

Italy Cross-sectional Yes No No N=3,725 (2009); N=4,770 (2010)

Germany Longitudinal No Yes No N >1,500

Germany Longitudinal No Yes No N=200,000

Germany Cross-sectional Yes No No N=1,050

Germany Cross-sectional Yes No No N=19,329 total study participants;(N= 13,926 participants with two 24h recalls; N= 15,371 participants with diet history interview)

Germany Cross-sectional Yes No No N=1,226

Germany Intervention No No Yes

Cross-sectional Yes No No Uncertain

N=150 (Enrollment)

Germany, Hungary, Italy, Netherlands, Spain, Sweden, UK

Yes No Yes UncertainDenmark, Germany, Greece, France, Netherlands, Norway, Sweden UK

Cross-sectional; Intervention

Yes No YesBelgium, Bulgaria, Germany, Greece, Poland, Spain

Cross-sectional; Intervention

N=7,056 (Intervention)

Intervention No No YesGreece, France, Norway, Spain, UK

Dependent on outcome: PA measurement - N=415 male players Measurement invariance - N=6,796 male/female playersTest of basic needs theory - N=7,769 male/female playersMotivation climate - N=57 male/female coaches

Longitudinal No Yes NoAustria, Spain, Belgium, Czech Republic, Denmark, UK, Estonia, Finland, France, Germany, Hungary, Ireland, Italy, Latvia, Lithuania, Netherlands, Norway, Poland, Portugal, Scotland, Slovakia, Slovenia, Sweden, Switzerland

N=204,422 (Paljärvi et al, 2014)

Yes Yes No N=116

Cross-sectional Yes No No N=6,037

Spain, Belgium, Germany, Greece, Netherlands, UK, Sweden, Spain

Cross-sectional; Longitudinal

Belgium, Hungary Denmark, France, Norway, Netherlands, UK,

Cross-sectional Yes No No N=15,000

Intervention No No Yes N/A

Intervention No No Yes N=3,000

Belgium, Finland, Germany, Estonia, Norway, Poland, Portugal, UK, Czech, Romania

Belgium, France, Netherlands, Poland, UK, Spain, Hungary

Germany, Greece, Italy, UK, Spain

Yes No Yes

Intervention No No Yes N=1,000

Cross-sectional Yes No No N/A

Belgium, Denmark, Germany, Greece, Netherlands, Norway, UK, Slovenia, Spain, Hungary, (Australia)

Cross-sectional; Longitudinal

N=7,000 (cross-European survey); N=2,500 (evaluation study)

England, Netherlands, Norway and Portugal

Bosnia, Czech, Denmark, France, Herzegovina, Latvia,Slovenia, Switzerland, Turkey, UK

Yes Yes No N=14,000

Yes No Yes

Austria, Switzerland, Spain, Sweden, Italy, Belgium, United Kingdom

Cross-sectional, Longitudinal

Denmark, Finland, Italy, Netherlands, UK, Romania

Intervention, Cross-sectional

Longitudinal No Yes No N=100,059

Intervention No No Yes Unknown

Denmark, France, Germany, Greece, Italy, The Netherlands, Spain, Sweden and the UK

Norway, Finland, Germany, Austria, Spain, Italy, Greece, Estonia, Turkey, UK, France, Poland, Bulgaria, Lithuania, Netherlands, Serbia and Montenegro

Longitudinal No Yes No

Cross-sectional Yes No No

Spain,Denmark, Greece,Italy, Netherlands, Norway, UK

Varies based on individual cohorts

Austria, Finland, Germany, France, Italy, Lithuania, Norway, Netherlands, Portugal, Spain

N/A N/AAustria, Finland, Greece, France, Italy, Lithuania, Norway, Nethrelands, Poland, Portugal, Czech, Sweden, Spain

Cross-sectional Yes No No

Yes No Yes N/A

Belgium, Finland, France, UK, Slovenia, Sweden, Spain

Ranged from N=232 - N > 4,000

Belgium, Bulgaria, Finland, Germany, Estonia, Greece, Ireland, Italy, Latvia, Lithuania, Norway, Netherlands, Portugal, Slovenia, Spain, Iceland

Cross-sectional; Intervention

Intervention No No Yes N/A

Intervention No No Yes

Denmark, Italy, Poland Yes No Yes

Austria, Belgium, Finland, Germany, Greece, France, Ireland, Italy, Lithuania, Norway, Netherlands, Portugal, UK, Spain, Croatia

Belgium, Denmark, Germay, Italy, Spain

Over 100 case study examples

Cross-sectional; Intervention

Ranges from N=18 - N=1,824

Intervention No No Yes N=1,669

Netherlands Cross-sectional Yes No No N=246,248

Austria, Denmark, Finland, Germany, Estonia, Greece, France, Italy, Latvia, Netherlands, Slovak Republic, Poland, Portugal, UK, Belgium, Ireland,Sweden, Latvia, Slovenia, Lithuania, Cyprus, Malta, Luxembourg, Czech Republic, Spain, Hungary

Yes Yes No

Cross-sectional Yes No No N/A

Yes Yes No N=4,000

13 countries within EU, including UK, Portugal

Cross-sectional; Longitudinal

Ranged from N=580 - N=8,157

Denmark, Finland, Ireland, Netherlands, Norway, Slovenia, UK, Belgium, Bulgaria, Croatia, Czech Republic, Estonia, France, Germany, Iceland, Italy, Latvia, Lithuania, Luxembourg, Poland, Portugal, Spain, Sweden, Austria, Cyprus, Greece, Hungary, Malta, Romania, Slovakia

Lithuania, Netherlands, UK, Spain

Cross-sectional, Longitudinal

Yes Yes No

Israel Intervention No No Yes N=47

Denmark, Finland, Germany, Greece, France, Norway, Netherlands, UK, Sweden, (US)

Cross-sectional; Longitudinal

15 cohorts included

Turkey Cross-sectional Yes No No N/A

Spain Longitudinal No Yes No

Cross-sectional Yes No No N=600 (approx)

Stage 1: N=2,200 (90 neighbourhoods)

Denmark, US, UK, Swenden, Finland, Spain, Canada

No Yes Yes N=2,000+

Cross-sectional Yes No No N > 25

Italy, Switzerland, Germany, Norway, UK

Longitudinal, Intervention

Italy, Austria, Spain, France, Greece, UK

Intervention No No Yes N=55

N=7

Belgium, Spain, France, Ireland

Germany, Italy, Austria, Israel

Other (Evaluation of technology)

Switzerland, Greece, Netherlands, Spain, Sweden

Other (Evaluation of technology)

Not specified for each individual study

Intervention No No Yes N=300

N=40

Israel, Belgium, UK, Italy, Netherlands, Czech Republic

Italy, Austria, Spain, Belgium, UK

Other (Evaluation of technology)

Yes No No

Other

Spain, Switzerland, Sweden, Austria, Germany, UK, France, Italy

Cross-sectional, Other (validation)

N=75,000 (Phase 1)

UK, Spain, Czech Republic, Italy, India, China, Serbia

8 cities (Europe and Asia)

No Yes Yes N=16,224

Intervention No No

Belgium, Cyprus, Denmark, Estonia, France, Germany, Hungary, Italy, Spain, Sweden, UK

Longitudinal, Intervention

France, Spain,Belgium, Greece, Canada and Australia

Yes (network of prevention programmes)

N=40 community based programmes (http://openprogramdb.eu/)

Ireland Cross-sectional Yes No No

Intervention No No Yes Unknown

Yes No Yes Unknown

N=2,000 males and females across the lifespan

Italy, Finland, UK, Serbia, Denmark, Lithuana, Hungary, Belgium

UK, Norway, Germany, Finland, Spain, (India), (Bangladish), (Pakistan)

Cross-sectional, Intervention

Cross-sectional Yes No No

Yes Yes No N > 10,000

UK, Italy, Finland, (Australia), (India), (Mauritius), (Singapore), (Sri Lanka), (Japan)

Varies based on work package

Spain, Italy, Cyprus, Hungary, Estonia, Germany, Belgium, The Netherlands, Denmark, Finland, Sweden, UK

Cross-sectional, Longitudinal

Cross-sectional Yes No No N=6,000

France Longitudinal No Yes No

Ghana, Germany,Netherlands, UK

France Cross-sectional Yes No No N=1,664

Netherlands Yes Yes No N=3,000Cross-sectional, Longitudinal

France Intervention No No Yes N=12,741

Belguim Cross-sectional Yes No No N=10,000 (net sample)

France and Belgium Longitudinal No Yes No

Netherlands Longitudinal No Yes No

Cross-sectional Yes No No

N=272,374 (October 2015; recruitment is still ongoing)

N=3,321 children, N=8,266 women

Belgium, Denmark, Italy, Poland, UK

Individual case studies reported for each working package

France, Tunisia Cross-sectional Yes No No N=441

Greece Cross-sectional Yes No No

Yes Yes No N=1,941

N2,660 (for specific variables the sample size may be lower)

Denmark, France, Germany, Greece, Italy, Netherlands, Norway, Spain, Sweden and UK

Cross-sectional, Longitudinal

Sex Study LocationLife course: Children (3 - 12years)

Life course: Adolescents (13 - 18 years)

Life course: Adults (19-64years)

Life course: Older adults (≥ 65 years)

Project included children (3-12 years)

Project included adolescents (13-18 years)

Project included adults (19-64 years)

Project included older adults (≥ 65 years)

Sex of participants (Male, Female, Both)

Study Location (Urban, Rural or Uncertain)

Yes Yes Yes Yes Both Both

Yes No Yes No Both Both

Yes (11-13 year olds) Yes (11-13 year olds) No No Both

Yes No Yes No Both

Yes No Yes No Both

Urban - schools were located in the 3–4 largest towns/ municipalities in 7 counties in south-eastern Norway

Both (Children) Women only (aged 18-45 years)

Both (Children under 5) Women only (aged 18-45 years)

Yes No Yes No Both

Yes Yes (aged 15-45 years) Yes (aged 15-45 years) No Both

Both (Children), Women only (Adults)

Both (Children), Women only (Adults)

No Yes No No Both Uncertain

No No Yes No Female Uncertain

No No Yes Yes Female Uncertain

No No Yes (aged 55-87 years) Yes (aged 55-87 years) Both Both

Yes No No No Both Both

Yes No No No Both Both

Yes Yes No No Both Uncertain

Yes Yes No No Both Both

Yes (11 years) Yes (13 and 15 years) No No Both Both

Yes Yes Yes Yes Both Both

Yes Yes Yes Yes Both Both

No No Yes No Both Both

Yes No No No Both Both

No No No Yes Both Both

Yes Yes Yes No Both Both

No No Yes (aged 20-69 years) Yes (aged 20-69 years) Both Both

No Yes Yes Yes Both Uncertain

No Yes Yes Yes Both Both

Yes No Yes No Both Both

Yes* (*up to 3 Months) No No No Both Uncertain

Yes Yes Yes No Not reported Not reported

Yes Yes Yes Yes Both Uncertain

Yes (aged 4-6 years) No No No Both Uncertain

No Yes Yes No Both Urban

No No Yes No Both Both

No No Yes Uncertain Both Uncertain

No No Yes Yes Both Urban

Yes (10-17 years) Yes (10-17 years) No No Both Uncertain

Yes No Yes Yes Both Uncertain

No No Yes No Both Urban (cities)

Yes No No No Both Both

No No Yes (aged 30-65 years) No Male Uncertain

N/A N/A N/A N/A Both

No No Yes No Both Urban

No No Yes (60+ years) Yes (60+ years) Both Uncertain

No No Yes Yes Both Urban

Yes Yes No No Both Uncertain

No No No Yes Both Urban

Yes (older, sedentary people)

Yes Yes Yes Yes Both Both

No No Yes Yes

Yes No No No Both

Yes Yes Yes Both Uncertain

Yes No No No Both Both

Yes Yes No No Both Urban

No Yes Yes No Both Uncertain

No Yes Yes Yes Both Uncertain

Yes No Yes Yes Both Both

Yes Yes Both Uncertain

No No Yes Yes Both Uncertain

No No Yes Yes Both Uncertain

Urban

No No Yes No Both Uncertain

No No No Yes Both Uncertain

No No Yes No Both Uncertain

No No Yes Yes Both Urban

No Yes (15-76 years) Yes (15-76 years) Yes (15-76 years) Both Uncertain

Yes Yes No Both UncertainYes (aged 18 - 30 years)

Yes (aged 60 - 85 years) Both Uncertain

No No No Yes (aged 65 - 80 years) Both Uncertain

Yes (aged 60 - 85 years)

No No No Yes Both Uncertain

N/A Urban

Yes No No No Both Uncertain

Both Urban

No No Yes Yes Both Uncertain

Unknown

Yes No Yes No Both Unknown

Yes Yes Both Uncertain

Yes Yes Yes No Both Uncertain

No No Yes Uncertain Both Both

Uncertain Yes Uncertain Both Urban

No No Yes No Both Urban

No No Yes No Both Urban

No No No Both Both

No No Yes No Both Both

Yes (women aged 35-60 years or men aged 45-60 years)

No No Yes Yes Both Both

Yes No Yes No Both Urban

No No Yes No Both Uncertain

No No Yes Yes Males Both

Yes No No No Both Uncertain

No No Yes No Both Uncertain

Study Setting Diet assessedPhysical Activity Assessed

Physical Activity measurement method

Sedentary Behaviour Assessed

Sedentary Behaviour measurement method

Study Setting (School, Workplace, Home, Community or any combination of the

above, or, Uncertain)

Does the dataset include a measure of physical activity (PA)

PA measurement tool(s) used

Does the dataset include a measure of Sedentary Behaviour

(SB)

SB measurement tool(s) used

Does the dataset include a measure of diet

Home Yes Yes YesHousehold, adult & child questionnaires: Type and duration of PA, Children's level of PA during & outside school, type & duration, Travel to work/school

Child questionnaire: Computer/internet use, duration of use

Home/ School No No Yes

School Yes Yes Yes

Home No N/A No N/A Yes

Home No N/A No N/A Yes

Objective: Accelerometry (Actigraph GT1M/CSA model 7164), worn for 5 days

Questionnaire: (Hours of daily TV-watching (including DVD) and use of computer/electronic games on weekdays and weekends separately) Objective: Accelerometry (Actigraph GT1M/CSA model 7164), worn for 5 days

Home No N/A No N/A Yes

Home No N/A No N/A Yes

Community Yes Yes YesQuestionnaire (physical activity in adolescents):developed based on the long self-report version of the International Physical Activity Questionnaire (IPAQ, see http://www.ipaq.ki.se)

Objective: Accelerometry (Actigraph MTI GT1M) average intensity (counts/minute), amount of time (minutes/day) spent engaging in MVPA

Objective: Accelerometry (Actigraph MTI GT1M).

Uncertain Yes No Yes

Uncertain No No Yes

Community Both Yes Yes

Questionnaire (no further detail given)

Health and Lifestyle Questionnaire: Physical activities in the home, at work, recreational activities.

Health and Lifestyle Questionnaire: Amount of television watched

School/ Home Yes Yes Yes

Community/ School Yes School Questionnaire No Yes

Questionnaire (Proxy): Physical activity (e.g. exercise)

Questionnaire (Proxy): Physical inactivity and SB (e.g. exercise, watching television, video game use, method of travel to school)

School Yes Yes Yes

School Yes Yes Yes

School Yes Yes Yes

Self-complete HBSC questionnaire

Self-complete HBSC questionnaire

Self completed questionnaire: including questions relating to physical activity

Self completed questionnaire: including questions relating to sedenatry behaviour

Self-complete HBSC questionnaire

Self-complete HBSC questionnaire

Home No No Yes

Home No No Yes

Home Yes Questionnaire No Yes

School Yes Yes YesQuestionnaire (proxy): Frequency, duration and types of organised sport and leisure-time physical activity Objective: Pedometers/ accelerometers in one sample

Questionnaire (proxy): Time spent viewing television, using computer/ playstation/ other electronic games

Uncertain Yes No YesQuestionnaire: Physical Activity Scale for elderly (Pase) - leisure activities and structured physical activity, home / social activities, work activities

Home Yes Questionnaire Yes Yes

Home Yes Yes Yes

Questionnaire: Sleep duration

Questionnaire: work, leisure time, and sport; activity patterns, setting Objective: Accelerometry (Sensor)

Objective: Accelerometry (Sensor)

Home Yes Yes YesComputer assisted telephone interviews:Short term physical activity (previous 24hrs) - occupation, sports, other strenuous leisure time activities

Computer assisted telephone interviews:TV/PC use in leisure time, Duration of sleeping

Home/ Community Yes Yes YesSelf-administered questionnaire:Questions relating to PA (hours/week spend on different activities)

Self-administered questionnaire:Sleeping behaviour (sleep quality, duration of sleep)

Home Yes Yes YesChild questionnaire:Physical activity module from KiGGS Parent questionnaire (mother): Freiburger Fragebogen zur körperlichen Aktivität

Objective: Accelerometer (Acti Graph, GT3X Activity Monitor), worn by children and mothers for 7 days Structured diary: Times of PA and inactivity (e.g. swimming, sleeping) documented

Objective: Accelerometer (Acti Graph, GT3X Activity Monitor), worn by children and mothers for 7 days Structured diary: Times of PA and inactivity (e.g. swimming, sleeping) documented

Home No No Yes

Not reported No No

Uncertain No No

Yes Yes YesSchool (Family involved)

Questionnaire (proxy): Parental physical activity, child physical activity (frequency, type, duration) Objective: Pedometers (or accelerometers in Belgium)

Questionnaire (proxy): TV Viewing, Playing computer games/ games console, Playing (quiet time) Objective: Accelerometers (Belgium only )

Community Yes No NoSelf-report questionnaire: physical activity frequency; HBSC items (Booth et al., 2001)

Objective: Accelerometer (GT3X Actigraph)

Community

Community Yes Yes No

Community Yes Yes Yes

Objective: SenseWear Armband, Kenz, Accelerometer (Actigraph GT3X), Dynaport MiniMod

Objective: Accelerometer (Actigraph GT3X)

Questionnaire: IPAQ (full sample) Objective: accelerometry (part of the sample in the Netherlands and Belgium)

Questionnaire: Adapted item from the Marshall questionnaire

Uncertain No No Yes

Uncertain

Home/ Community Not Reported Not Reported Not Reported

School Yes Yes Yes

Community Yes Yes Yes

Community

Questionnaire (child and parent): Energy Balance Related Behaviours (commuting to school, activity during recess, sports/physical activity behaviour during leisure time) Objective: accelerometers (subsample from 3 countries, N=600)

Questionnaire (child and parent): Energy Balance Related Behaviours (television viewing and computer time) Objective: accelerometers (subsample from 3 countries, N=600)

Questionnaire: IPAQ-Short, activPAL wearing diary (sleep, work time), sedentary/active behaviours (choice index) Objective: Accelerometer (activePAL micro)

Questionnaire: domain specific and total sedentary time (Marshall), Sleeping time, sedentary/active behaviours (choice index) Objective: Accelerometer (activePAL micro)

Community Yes No NoQuestionnaire: online questionnaire, trip diary, GPAQ Objective: accelerometers for a subgroup of participants

Uncertain (variety) Yes No Yes

Yes Questionnaire Uncertain Yes

Questionnaire: leisure time physical activity, occupational physical activity

Community/ GP practices

Uncertain Yes Yes

Community

Questionnaire Objective: accelerometer

Community, School Yes Questionnaire:Physical Activity Questionnaire for Children/Adolescents (PAQ- /PAQ-A)International Physical Activity Questionnaire - short form (IPAQ-s)

Objective:Accelerometers (MTI Actigraph, Actigraph GT1M, WAM 7164)

Community

Community

School Yes Yes YesQuestionnaire: Parental-report survey (Level of physical activity)

Questionnaire: Parental-report survey (TV viewing)

School/ Community

Yes Self-report Yes Self-report No

Community Yes No No

Community Yes

Questionnaire: EpiPorto Physical Acitivty Questionnaire

Objective: motion sensor and GPS (Android operating system)

Yes Yes

Community, Home Yes No No

Varies based on cohort Self-report: Questionnaires, logs, recalls Objective: Motion sensors

Objective: Accelerometer (Actical)

Workplace, Home Yes

Yes

Uncertain

Objective: ASUS ProXtion and Kinect 360

Objective: Geographic information systems (GIS)

Yes

Community Yes

Community, Various clinical settings

Objective: Wearable inertial sensors or smartphones

Objective: Kinect sensing apparatus

Community Yes

Uncertain

Yes Yes

Objective: Vicon MX Motion Capture System (gait assessment)

Research Laboratory, School

Self-Report: Physical activity diary, IPAQ Objective: Accelerometer (Bodymedia Armband), SPLENDID activity prototype sensor

Research Centre Yes

Home/ Nursing Home Yes Yes

Objective: Accelerometer (APDM)

Questionnaire: Physical Activity Scale for the Elderly (PASE)

Uncertain Yes Not Reported Yes

Yes Yes Yes

Community Yes Yes Yes

School and kindergarten formed the initial setting for approaching participants

Questionnaire (proxy): physical activity per week, membership of sport club Objective: Accelerometer (Actigraph)

Questionnaire: time spent watching TV or using the computer

Different methods depending on the programme

Different methods depending on the programme

Community Yes

Unknown Yes

Unknown Yes YesQuestionnaire: Health and Lifestyle

Uncertain Uncertain Uncertain Uncertain

Family based Yes Yes Yes

Lifestyle risk factors (may include physical activity)

Lifestyle risk factors (may include sedentary behaviour)

Questionnaire: Web-based physical activity measure Objective: accelerometry

Questionnaire: sleep duration Objective: accelerometry

Yes No Yes

Paris metropolitan area Uncertain No Yes

Ghana (urban and rural), Berlin, London, Amsterdam

Questionnaire: WHO Global Physical Activity Questionnaire (GPAQ) V.2

No No Yes

Yes No Yes

Health examination centres (4 different urban zones)

Amsterdam, the Netherlands

Questionnaire: SQUASH (similar to long IPAQ)

France Yes Yes Yes

Yes Yes Yes

Questionnaire: Modifiable Activity Questionnaire (validated)

Questionnaire: time spending watching TV, reading and using computer

Nationwide represenative sample in Belgium

Questionnaire: Moderate and vigorous physical activity, leisure time physical activity, walking

Questionnaire: leisure time actvities (Reading, watching TV or other sedentary activities)

Uncertain Yes Yes Yes

Uncertain Yes Yes Yes

Uncertain

Questionnaire: IPAQ Questionnaire: time spent in front of a TV, computer, reading

Questionnaire (mother): Physical activity during pregnancy

Questionnaire (child): Sleeping behaviour

Yes Yes YesThe study focused on Tunisian migrant men living inLanguedoc-Roussillon, a French Mediterranean regionwhich is historically a region of immigration, and on their peers still living in Tunisia

Questionnaire: Time spent on differentcurrent activities: occupational habits, home activities, recreational activities, sports and travels to and from places during the last month, with specific attention to working days and holidays.

Questionnaire: TV viewing

Yes Yes Yes

Uncertain Yes Yes No

Representative of main regions in Greece (Attica, Etoloakarnania, Thessaloniki and Iraklio)

Questionnaire: PASQ (validation with pedometers and accelerometers, described by Manios et al. available at http://www.ncbi.nlm.nih.gov/pubmed/23903530)

Questionnaire: screen time

Questionnaires: IPAQ, RPAQ, EPIC-PAQ Objective: Actiheart

Questionnaires: IPAQ, RPAQ, EPIC-PAQ Objective: Actiheart

Physical Activity determinantsDietary measurement method

Dietary measurement tool(s) used

PA determinants measured in the project/study, including the names of the measurements used and their references

Household & adult questionnaires: Harvested crops; Expenditure on food (detailed by type of food); Dietary patterns

PA type and duration- general household questionnaire (no reference sourced)

Travel to work/school- general household questionnaire (no reference sourced)

Level of PA during school and outside school- general household questionnaire (no reference sourced)

N/AQuestionnaire (self-administered): 1) 24 hour dietary recall: All fruit and vegetables consumed the previous day The questions were open ended. 2) Food frequency questionnaire: 5 questions about the usual frequency of intake for fresh fruit, salad, other raw vegetables, cooked vegetables and fruit juice.

N/A

N/A

Questionnaire: Frequency of fruit, vegetables, soft drinks and some other drinks, some snacks, meal frequenices

Anthropometry (height, weight, BMI), Pubertal Category Scores, Parental Education, Lifestyle (Diet, physical activity, sedentary behaviour)

Questionnaire: Meals frequencies, Infant feeding patterns (6-24 months)

Questionnaire: Meals frequencies, Infant feeding patterns (6-24 months)

N/A

N/A

Questionnaire: Meals frequencies, infant feeding patterns (6-24 months)

Questionnaire: Meals frequencies, infant feeding patterns (6-24 months)

Self administered computer assisted tool with repeated 24h recalls [HELENA-DIAT] (Vereecken C.A. et al. 2005) Detary habits

Anthropometry, Abdominal fatness, Physical activity, Physical Fitness (strength, speed-agility, cardiorepiratory fitness), Cardiometabolic risk (blood lipids, insulin resistance, blood pressure), Inflammation profile, White blood cell count, Pubertal maturation, Psychological (intention, social support, modeling, stage of change, perceived benefits and barriers), Perceived living environment, Socioeconomic factors, Genotype, Genetic variants (FTO rs9939609 polymorphism)

N/A

N/A

Objective measurement: 24-h urinary isoflavone concentrationsisoflavones in plasma.

3-d dietary record: habitual intake

Lifestyle factors: short food questionnaire

Objective measurement: 24-h urinary isoflavone concentrationsisoflavones in plasma.

Health and Lifestyle Questionnaire: Dietary habits

Levels of PA (activities in the home, mode of travel to work, occupational activity, recreational activities), Sleep patterns, Sociodemographic factors, Smoking, Alcohol, TV viewing

Initiatives to promote physical activity of students, Structure of systems, Educational programs

School Questionnaire

Questionnaire (proxy):Eating habits (e.g. eating breakfast)

BMI, Frequency of physical education lessons, Availability of school playgrounds, Existence of school initiatives organized to promote a healthy lifestyle

Exercise, School environment, Structural resources, Smoking and Alcohol, Bullying, Weight status

Exercise frequency outside of school hours, Amount of PA over week, Body image

Exercise frequency outside of school hours, Amount of PA over week, Body image

Self-complete HBSC questionnaire

Self completed questionnaire: including questions relating to eating behaviours

Self-complete HBSC questionnaire

Some questions about lifestyle

N/A

Semi-structured diary: Collected at individual level for 3 consecutive days.

Food diary: 7 day self-completed diary

Food Frequency Questionnaire (referring to some selected food items and beverages)

Perceived health status, Use of health services, Physical activities, Leisure, Lifestyles, General perceptions

Questionnaire: semi-quantitative food frequency questionnaire (FFQ) consisting of 53 commonly used food items categorized into 11 food groups

Level of physical activity PA, Types of organised sport and leisure-time physical activity on school days and non-school days, Sedentary behaviour, Anthropometry (height, weight), Medical history, Breastfeeding, Birth weight, Parent’s BMI, Parental PA, Sociocultural status, Family habits, Parent’s perception of their child’s body silhouette, School Environment

Food Frequency Questionnaire

Wellness and Independence (Autonomy in daily life, Perception of health status, Satisfaction with their lives), Physical activity, Capability to walk autonomously, Overweight and obesity, Alcohol consumption, Smoking habit, Chronic non-communicable diseases, Poor eyesight, hearing and chewing, Falls, Depression, Use of drugs

3 day weighed dietary records (consecutive days)

Anthropometry (weight, height, length), Birth weight, Maternal health, Blood pressure, Blood sample, Urine sample, Medical examination (current and past health status), Medicine intake, Pubertal status, Growth and development, Smoking exposure, Parental overweight status, Family characteristics, Tobacco smoking, Alcohol consumption, Diet, Physical activity, Parental physical activity

Food Frequency questionnaire 24-hour diet recall

Anthropometry (height, weight, waist circumference, BIA), Blood pressure, Physical fitness, Physical activity, Hand grip strength, Lung functioning, Mobility, Muscle strength, Sensory factors, Blood measures, Urine measures, MR imaging, ECG, Smoking, Alcohol consumption, Nutrition, Nutritional energy balance, Chronic infections, Psychosocial factors (personality traits, chronic stress, workplace social environment), Occupational and Environmental influences, Cognitive Function, Use of medications, Socioeconomic status

24hour dietary recall: 3 dietary recalls using EPIC-SOFT (subjects completing all 3 recalls N=893)

Anthropometry (weight, height), Lifestyle characteristics, Socioeconomic characteristics, Health status, Smoking, Blood measures, Levels of physical activity (occupation, sports, other strenuous leisure time activities)

(2 x) 24 hour dietary recall: Using EPIC-Soft to assess food consumption and nutrient intake (1 x) diet history interview: face-to-face computer-based using DISHES (Diet Interview Software for Health Examination Studies, RKI) to assess food consumption and nutrient intake

Physical activity (hours per week spent in different activities)

Food frequency questionnaire (Toeller® 2004): Completed by mothers reflecting the nutritional habits of the previous 4 weeks

3-day food record: Mother and child kept a record of the childs dietary intake (including 2 week days & 1 weekend day)

Motor fitness and physical activity of children, Times of physical activity and inactivity, Levels of physical activity (accelerometer), Demographics and Socioeconomic status (main language spoken, nationality, education, smoker/nonsmoker, weight, height, and family income), Community (rural or urban), Family history of diabetes, Prenatal and perinatal factors, Anthropometrics (height, weight, length, waist circumference, skinfold), Blood sample, Pubertal status

N/A3 day weighed records:Collected 3-monthly for the first 3 years and yearly thereafter

Questionnaire/ Food frequency questionnaire: Parental water/SSBs/snacks consumption, as well as parental and children's consumption of breakfast/meals on weekdays and weekend days. The 44-item semiquantitative FFQ covers a wide range of items to address children’s food and beverage consumption patterns relevant to the ToyBox-intervention objectives.

(i) Family background and lifestyle factors, e.g. parental/caregivers’ education and occupation, child’s sleeping patterns; (ii) Parental/caregivers’ behaviour and children’s behaviour, i.e. parental water consumption/snacking/physical activity and parental and children's sedentary behaviour and (iii) Perinatal factors, e.g. birth weight, breastfeeding duration. Medical history of child, Anthropometrics (height, weight, waist circumference), Teacher's self efficacy, habit, knowledge, attitudes and social influence in relation to physical activity, Physical activity/sedentary behaviour environment, Sports club participation, Mode of travel to/from school, Weather, Distance to preschoolTeacher’s questionnaire. The self-administered questionnaire includes 72 questions and aims at addressing teacher’s self-efficacy, habit, knowledge, attitudes and social influence in relation to children’s water consumption, snacking, physical activity and sedentary behaviours. Audit questionnaire: was completed by ToyBox researchers who visited the kindergartens and focused on kindergarten food and Physical activity/sedentary behaviour environment.

Motivation, Goal orientation, Basic Psychological Need Satisfaction, Well-being quality of engagement, Motivation Climate

Experiences of physical activity - PROactive PRO (patient reported outcome) instruments, Medication, rehabilitation

Questionnaire: Weekly intake frequency of fruit, vegetables, soft drinks and some other drinks, some snacks, meal frequencies

Perceived environment - agreement to functional considerations, traffic safety considerations, aesthetics components, availability of destinations (shops/facilities/restaurants), Built environment (objectively measured) - % of functional considerations, traffic safety considerations, aesthetics components, destinations/shops/facilities/restaurants, Barriers to PA, Sitting time, Social environment (social network, social cohesion, feeling at home, no. of friends living in neighbourhood), Neighbourhood satisfaction, Mobility intentions, Perceived/actual health condition, Smoking behaviour, Time spent sleeping

N/A

SWOT/SOR-analysis of the regional physical activity initiatives and institutions

Questionnaire: TESQ-E (Tempest Self-regulation Questionnaire for Eating)

Medical, Psychological, Social conditions of each person, Personal goals relating to nutrition and physical exercise, Nutrition plans, Social support

Questionnaire (child and parent): Energy Balance Related Behaviours (dietary behaviours)

Anthropometric (height, weight, waist circumference), Ethnicity, Family status of the child, Attitude, knowledge of health promotion recommendation with regard to the specific EBRB, self-efficacy, health beliefs, preference/liking and habit strength for all dietary behaviours, physical activity/sport behaviours, and television viewing, School environment (cafeteria and recreational areas), Peer subjective norms and peer modelling, Blood measures, Family environment (sociocultural, political environmental factors, physical environmental variables, economic or financial environmental factors)

Questionnaire: Food intake (adapted DINE)

Anthropometrics (height, weight, waist circumference), Blood pressure, Blood biomarkers, Wellbeing, Self-esteem, Vitality, Quality of Life, Long standing illness, disability or infirmity, Joint pain, Injuries, Ethnicity, Marital status, Education, Current employment status, Income, Weight management strategies, Weight loss activities, Standing time, Sedentary/active behaviours (Activity Choice Index) Sleep, work time, Domain specific and total sedentary time, Motivation for physical activity, Ego/Task involvement, Club identification (Sport Spectator Identification Scale), Support, Mastery/performance climate, Relatedness to group, Need satisfaction from physical activity

Existing policies addressing the Built environment (urban planning, transport and road safety, active transport, sporting facilities, and leisure facilities) and Maternal and child health services (appropriate weight gain/loss for women during/after pregnancy, and at infant and young child feeding and breastfeeding), and schools (school policies on nutrition and physical activity), Community built environment (selected indicators of the ‘walkability’ and ‘bikeability’ of the neighbourhoods, including the availability and quality of cycle lanes, public open spaces and playgrounds, public transport stops, traffic volume, safe road crossings, pavements, and level of unattractiveness/incivilities).

Physical activity policy making

Personal data (age, sex, workload, weight, household data), Use of transport modes in general, preference and assessment of transport modes, work and home location, travel diary, GPAQ, identification of problems (air pollution, noise), Theory of planned behaviour questions

Self- or interviewer-administered quantitative or food-frequency questionnaires: Information on foods and beverages consumed during the year preceding enrolment

History of previous illnesses, History of smoking and physical activity (occupational and during leisure), Anthropometric measurements (height, weight, waist and hip circumference)

Questionnaire: Daily consumption of vegetables, fruits or berries

Motivation, Educational materials, Individualised professional support, Diabetes risk, Biochemical tests, Anthropometric (weight, height, waist circumference, blood pressure), Sociodemographic, Lifestyle, Current health status, Medication use, Family history of disease, Chronic conditions, Quality of life

Questionnaire

Access to infrastructure: sports facilities (such as gyms, swimming pools, sports grounds), leisure-time infrastructures providing specific opportunities for sports and physical activity (such as parks, playgrounds, and cycle paths), urban and natural space usable for sports and physical activity (such as streets, public places, forests, beaches)

Environmental/ALPHA Questionnaire (long /short) - Neighbourhood design, Distance to local facilities, Cycling and Walking infrastructure, Home environment, Workplace or study

Questionnaire: Parental-report survey

Local policies, Atitude towards PA promotion, Physical activity practice in kindergarten (number of children physically active for 1 hour at moderate level in a day, number of days in previous week that teachers initiated games and play that made children active), Use of / Availability of space and facilities, including indoor/outdoor, Social support, Parents'weight status

Action competence- self-reportActive participation in creating change- self-report

Population density, Distances to the nearest park, sport space, destination and sea/riverside, Density of street intersections and bus stops, Average land gradient within 200m around participants residence, Availability of green space

Well-being and health, Personal characteristicsEnvironmental: Distance to green and blue space, Residential situation (dwelling and neighbourhood), Environmental worries and reactions to perceived exposures, Motivation for travel routes, Associations of natural environment with mood, Attitude towards the and importance of (experiences with) natural environment, Reasons for using or not using the natural environment

Varies based on cohort Food Frequency Questionnaire Diet History

Physical activity (Occupational, Gardening, Walking, Intensity, Sport), Rest, Sleep, Anthropometry (weight, height, waist and hip), Blood pressure, Blood tests, Cognitive decline, Depression, Disability, Family history of disease, Lung Function, Perceived health, Quality of life, Environmental factors (e.g., occupational exposures), Socio-economic factors (e.g., education, income)

Motor impairment of the upper extemity after stroke, Functional ability of the upper extremity, Standing balance, Independence in basic activities of daily living, Manual dexterity, Gait speed, Mobility, Executive functioning, Ability to divide and switch attention between 2 tasks during a 6 meter walk, turn and return

Coordinates of joints on skeleton

Attributes of walking and cycling environment (SPACES inventory, Google Street View)

Exercise training (resistance, aerobic, high intensity), Blood measures, Exercise-regulated signaling networks

Quantity, quality, intensity and complexity of PA extracted from 7+ days of continuous monitoring by means of wearable sensors or smartphones.

Active behaviours (behaviours employed to understand the environment and determine goal strategies toward task completion, environmental awareness and negotiation)Reactive behaviours (reactions of agents in the environment to toher agents)independence , pride, embarrassment, fear of being stigmatised, not wanting to admit a needrisk perception of carrying out everyday activityself consciousness

Balance, Sit-to-stand movement

Anthropometry (height, weight, BIA), Self-reported health

Physical Fitness (VO2 max test), Perceptual timing, Motor timing, Music rhythm - motivation, Beat complexity and variability

Objective: Sensors (eating behaviours)

Fall rate, Gait speed and variability, Endurance, Balance and Mobility, Cognitive Function, Health related quality of life

Questionnaire: Nutrition screening and assessment tool, Food diary

BMI, Leisure activity (e.g., sports, jogging, swimming, strengthening and endurance exercise), household activity, and work-related activity, Heart rate, Blood pressure, Respiratory rate, Oxygen Saturation, Blood measures, ECG, Balance, Fitness, Demographic information (Education, Marital status, Retirement status), Health status, Behavioural risk factors (smokers, heavy drinking, physically inactive), Cognitive parameters, Concentration and memory, Social support, Social inclusion

Not Reported Detail not available at present (Ongoing)

Active travel (walking and cycling), Physical activity, Environmental factors (Climate change), Outdoor air pollution, Indoor air quality and temperature, Dietary intake, Road injury risks, Selected other exposures

Micro and macro environment, Behaviours, Social norms

Food frequency questionnaire (selected food items) of child macro/micronutrient 24 hour recall (energy intake)

Fitness (Flamingo balance test, backsaver sit and reach, handgrip strength, standing broad jump, 40m sprint and shuttle-run test), Socioeconomic status, Genes (saliva), Biomarkers (urine, blood - insulin resistance), Environment and family life (parental questionnaire, school questionnaire, GIS), Anthropometry, Bone health/ musuloskeletal disorders, Sleep duration

Different methods depending on the programme

Height and Weight, Bioelectric Impedence, Skinfold Thickness, DEXA Scan

Dietary intake

Questionnaire: Dietary intake

Anthropometry, Blood tests, Health and Lifestyle, Dietary intake, Migration status, Family life and domestic duties, Physical symptoms, Emotional symptoms, Perceptions and beliefs about local health services.

Lifestyle, Environmental, Genetic, Epigenetic risk factorsLifestyle risk factors (may include diet)

24 hour recall (Web-based ) Food Frequency Questionnaire (for unhealthy food)

Socioeconomic status, Medical history, Anthropometry, Blood pressure, Musculoskeletal disorders/bone health, Sleep duration, Genes (saliva), Gene expression, Biomarker/insulin resistance (urine, blood), Built environment (GIS, GPS), School environment and family site

Psychological profile, Social factors (lifestyle, peers), Social environment

Uncertain

Questionnaire: Ghana-specific Food Propensity Questionnaire based on the European Food Propensity Questionnaire developed for the EPIC study.

Migration-related factors (premigration history, age at first migration, age at arrival in the current location, duration of residence, cultural distance and ethnic identity), Psychosocial vulnerability (perceived discrimination)

Uncertain what the full range of measures was. Food consumption events (meals) were asked.

N/AQuestionnaire: Frequency of intake of selected items 'starchy foods’, ‘fruits and vegetables’, ‘meat, fish and eggs’, ‘seafood’ and ‘dairy products’

Food frequency questionnaire: Ethnic-specific FFQ as described by Beukers et al (European Journal of Clinical Nutrition)

Anthropometrics (height, weight, hips, waist, arm, calf and thigh circumference), Current health, Medication Use, BIA, Heart Function, Blood pressure, Muscle Strength, Blood measures, Migration-related factors (premigration history, age at first migration, age at arrival in the current location, duration of residence, cultural distance and ethnic identity), Psychosocial vulnerability (perceived discrimination)

24 hour food records Food Frequency Questionnaire

Individual (biological/genetic, psychological, sociodemographics, sensory), Physical examination, Anthropometric measurements, Blood pressure assessment, Electrocardiogram, Clinical related disease outcomes, Interpersonal (social), Environmental

Food Frequency Questionnaire: fruit, vegetables, use of breakfast, water (Some survey years included sugar sweetened beverages)

Health perception, Illness and Chronic conditions, Emotional wellbeing, Mental health disorders, Bodily pain, Quality of life, Consumption of alcoholic drinks, tobacco and other products, Cardiovascular prevention, Physical Activity, Use of medical services, Medication use, Social contacts, Health and Environment, Sociodemographic factors , Built environment characteristics (subjective)

24 hour dietary records Determinants (sociological, economic, cultural, cognitive, perception, food preference, biological and genetic), Sociodemographics and Economics

Questionnaire (mother and child): Nutrition during pregnany, Child's eating behaviour

Pregnancy related determinants (demographic background, lifestyle (e.g. use of alcohol, smoking, physical activity), Psychosocial conditions (e.g. work-related stress, depressive symptoms, pregnancy-related fears, fatigue, etc.), Child outcomes: Height, weight, waist and hip circumference, Heart rate, Blood pressure, Cognitive performance, Child’s health and development, Child’s behaviour and achievement at school, Exposure to air pollution, noise and electromagnetic fields in their home and school environment

Food frequency questionnaire: To assess usual dietary intake during the past month, a validated quantitative FFQ was adapted to Tunisian habits.

Education, Economic index, length of residence (acculturation), age at migration (past exposure) and social ties with the home country (current exposure)

24 hour food recalls : Dietitian administered 3X 24hr recalls Food Frequency Questionnaire: Feeding practices first 12 mo of life. Parental dietary patterns (FFQ), parental nutritional knowledge

Sleep duration, BMI, Maternal BMI, Parental physical activity, Family support PA and diet behaviour, Family rules diet and PA, Fitness parameters (Hand grip strength, 20m endurance run test)

Age, Sex, Anthropometrics, Cardiorespiratory fitness (step test), Season, Self-reported information e.g. type of work; beta-blocker intake

Sedentary Behaviour determinants

SB determinants measured in the project/study, including the names of the measurements used and their references

Computer/Internet use and duraction of use- general children's questionnaire (no reference sourced)

N/A

N/A

N/A

Anthropometry (height, weight, BMI), Pubertal Category Scores, Parental Education, Lifestyle (Diet, physical activity, sedentary behaviour)

N/A

N/A

N/A

N/A

N/A

Sleep pattern, Levels of PA, TV viewing

Screen time

Hours spent watching TV, Hours spent playing computer games, Hours spent using computer, Internet, Sitting time

Hours spent watching TV, Hours spent playing computer games, Hours spent using computer, Internet, Sitting time

Some questions about lifestyle

N/A

N/A

TV viewing, Using computer/playstation/other electronic games on school days and non-school days separately, Anthropometry (height, weight), Sociocultural status, Family habits, School Environment

N/A

Anthropometry (height, weight, waist circumference, BIA), Blood pressure, Physical fitness, Physical activity, Hand grip strength, Lung functioning, Mobility, Muscle strength, Sensory factors, Blood measures, Urine measures, MR imaging, ECG, Smoking, Alcohol consumption, Nutrition, Nutritional energy balance, Chronic infections, Psychosocial factors (personality traits, chronic stress, workplace social environment), Occupational and Environmental influences, Cognitive Function, Use of medications, Socioeconomic status

Anthropometry (weight, height), Lifestyle characteristics, Socioeconomic characteristics, Health status, Smoking, Blood measures, Levels of physical activity, TV/PC use in leisure time, Duration of sleeping

Sleeping behaviour (sleep quality, duration of sleep)

Motor fitness and physical activity of children, Times of physical activity and inactivity, Levels of physical activity (accelerometer), Demographics and Socioeconomic status (main language spoken, nationality, education, smoker/nonsmoker, weight, height, and family income), Community (rural or urban), Family history of diabetes, Prenatal and perinatal factors, Anthropometrics (height, weight, length, waist circumference, skinfold), Blood sample, Pubertal status

N/A

(i) Family background and lifestyle factors, e.g. parental/caregivers’ education and occupation, child’s sleeping patterns; (ii) Parental/caregivers’ behaviour and children’s behaviour, i.e. parental water consumption/snacking/physical activity and parental and children's sedentary behaviour and (iii) Perinatal factors, e.g. birth weight, breastfeeding duration. Medical history of child, Anthropometrics (height, weight, waist circumference), Teacher's self efficacy, habit, knowledge, attitudes and social influence in relation to physical activity, Physical activity/sedentary behaviour environment,

N/A

Amount of screens in the house, Transport facilities in the neighbourhood, Reasons for choosing modes of transport, Reasons for going (or not going) to destinations

N/A

Anthropometric (height, weight, waist circumference), Ethnicity, Family status of the child, Attitude, knowledge of health promotion recommendation with regard to the specific EBRB, self-efficacy, health beliefs, preference/liking and habit strength for all dietary behaviours, physical activity/sport behaviours, and television viewing, School environment (cafeteria and recreational areas), Peer subjective norms and peer modelling, Blood measures, Family environment (sociocultural, political environmental factors, physical environmental variables, economic or financial environmental factors)

Anthropometrics (height, weight, waist circumference), Blood pressure, Blood biomarkers, Wellbeing, Self-esteem, Vitality, Quality of Life, Long standing illness, disability or infirmity, Joint pain, Injuries, Ethnicity, Marital status, Education, Current employment status, Income, Weight management strategies, Weight loss activities, Standing time, Sedentary/active behaviours (Activity Choice Index) Sleep, work time, Domain specific and total sedentary time

N/A

N/A

TV watching time

N/A

Rest, Sleep, Environmental factors (e.g., occupational exposures), Socio-economic factors (e.g., education, income)

Micro and macro environment, Behaviours, Social norms

Lifestyle, Environmental, Genetic, Epigenetic risk factors

Uncertain

No

N/A

N/A

Reading, Watching TV, other sedentary activities

Individual (biological/genetic, psychological, sociodemographics, sensory), Physical examination, Anthropometric measurements, Blood pressure assessment, Electrocardiogram, Clinical related disease outcomes, Interpersonal (social), Environmental

TV viewing

Dietary determinants Determinant measurement validity Feasibility for diet quality score computation:(1) study on DQ-computation published (2) feasible (3) crudely feasible (4) not feasible (5) feasibility not clarified

Dietary determinants measured in the project/study, including the names of the measurements used and their references

Describe the different types of validity and reliabillity for each determinant

measurement

Describe the feasibility for diet quality score computation

UnknownDietary patterns- general household questionnaire (no reference sourced)

Expenditure on food- general household questionnaire (no reference sourced)

(1) feasible: study with dq-score computation published (see references)

(2) feasibleFruit and vegetable consumption-Pro-Children Children's questionnaire (with FFQ and pre-coded 24-HDR) (Haraldsdottir et al 2005, de Bourdeaudhuij et al 2005).Liking for fruits and vegetables-Pro-Children Children's questionnaire (with FFQ and pre-coded 24-HDR) (Haraldsdottir et al 2005, de Bourdeaudhuij et al 2005).Availability of fruits and vegetables at home and school-Pro-Children Children's questionnaire (with FFQ and pre-coded 24-HDR) (Haraldsdottir et al 2005, de Bourdeaudhuij et al 2005).Attitudes to fruits and vegetables -Pro-Children Children's questionnaire (with FFQ and pre-coded 24-HDR) (Haraldsdottir et al 2005, de Bourdeaudhuij et al 2005).

Fruit and vegetable consumption-Pro-Children's Parent Questionnaire (with FFQ and pre-coded 24-HDR) Parenting style/behaviour in relation to fruits and vegetables-Pro-Children's Parent Questionnaire (with FFQ and pre-coded 24-HDR) Perceived availability of fruits and vegetables at home and school-Pro-Children's Parent Questionnaire (with FFQ and pre-coded 24-HDR)

Questionnaire development conducted in three steps : a theory- and determinant-oriented literature review; qualitative research; and pre-testing.

Pro-Children Children's Questionnaire Reliability and validity (De Bourdeaudhuij I. et al. 2005) Validity and reproducibility (Haraldsdottir et al 2005)

(5) feasibility not clarified

(5) feasibility not clarified

(5) feasibility not clarified

Anthropometry (height, weight, BMI), Pubertal Category Scores, Parental Education, Lifestyle (Diet, physical activity, sedentary behaviour)

Physical measurements in children under 5 (weight and height, or length) and women in fertile age (weight, height, clinical assessment of thyroid size), Breastfeeding, Birth weight, Biochemical assessment of micronutrient status (serum haemoglobin, serum ferritin, serum retinol in women and children, urinary concentration of iodine in women and in school-age children), Household information (water supply, use of iodised salt, adequate sanitation)

Household information (Household Listing Form, Education, Water and Sanitation, Household Characteristics, Child Labour, Child Discipline), Women’s Background, Child Mortality, Maternal and Newborn Health, Illness Symptoms , Contraception, Unmet Need, Marriage/Union, Tobacco and Alcohol Use, Life Satisfaction, Information on child (Age, Birth Registration, Early Childhood Development, Breastfeeding, Care of Illness, Immunization , Anthropometry (height and weight))

(5) feasibility not clarified

(5) feasibility not clarified

Micronutrient status, Anthropometry, Risk factors for non-communicable diseases, Breastfeeding, Child feeding practices, Dietary intervention (supplements, malnutrition), Food supply, Availability of drinking water, Sanitation, Policy and Legislative provisions

Physical measurements (weight and height, or length), Biochemical assessment of micronutrient status (serum haemoglobin in women and children, serum retinol in children), Infant feeding, Breastfeeding

(2) feasibleNutrition knowledge (Nutrition Knowledge Test for Children and Adolescents), Eating attitudes (Eating Behaviour and Weight Problems Inventory for Children (EWI-C) ), Food choice and preference, Food and nutrient intake

IPAQ: -Craig C.L. et al. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003 Aug;35(8):1381-95.

HELENA-DIAT/YANA-C: -Vereecken C.A. et al. 2005. Young adolescents' nutrition assessment on computer (YANA-C). E-Vereecken et al. 2008.Development and evaluation of a self-administered computerized 24-h dietary recall method for adolescents in Europe.

None reported (5) feasibility not clarified

(4) not feasible

None reported (2) feasible

Habitual food intake, Bone markers, Blood and urine measures

Height, Weight, Blood pressure, 24 h urinary isoflavone excretion, Blood measures, Vascular measures

Special diets, Dietary patterns (i.e. setting where meal is consumed), Mechanical determinants (e.g. wearing dentures), Meal preparation, Ready meal consumption

Eating habits, Initiatives to promote healthy eating None reported (4) not feasible

BMI, Number of listed foods and drinks on the school premises (4) not feasible

Nutritional status, Weight status (4) not feasible

(4) not feasible

(4) not feasible

Breakfast consumption, Consumption of soft drinks, fruits and vegetables, sweets, snacking, Dieting

Breakfast consumption, Consumption of soft drinks, fruits and vegetables, sweets, snacking, Dieting

Self-complete HBSC questionnaire (FFQ)Vereeken et al (2003). A Belgian study on the reliability and relative validity of the Health Behaviour in School-Aged Children food-frequency questionnaire.-reliability and relative validity

(2) feasible

None found. (5) feasibility not clarified

Sociodemographic factors, Lifestyle factors, Eating behaviour, Food choice, Food procurement, Perceived importance of food expenditures vs. household income, Fortified food, Medicine containing nutrients, Mineral water, Supplements

Expenditure on food and beverages, Purchase of goods and services, Food and beverages outside the home, Quantity and value of goods produced and consumed by the family itself during the period of seven days.

(2) feasible

Uncertain (2) feasible

Eating habits, Perceived health status, Use of health services, Lifestyles, General perceptions

Anthropometry (height, weight), Medical history, Breastfeeding, Birth weight, Parent’s BMI, Parental PA, Sociocultural status, Family habits, Parent’s perception of their child’s body silhouette, School Environment, Food habits, Food consumption, Adherence to Mediterranean diet, Drinks consumption, Snacking behaviour, Parent’s dietary behaviour, School Environment

(5) feasibility not clarifiedWellness and Independence (Autonomy in daily life, Perception of health status, Satisfaction with their lives), Physical activity, Capability to walk autonomously, Overweight and obesity, Alcohol consumption, Smoking habit, Chronic non-communicable diseases, Poor eyesight, hearing and chewing, Falls, Depression, Use of drugs, Diet, Consumption of fruit and vegetables

(2) feasible

Anthropometry (weight, height, length), Birth weight, Maternal health, Blood pressure, Blood sample, Urine sample, Medical examination (current and past health status), Medicine intake, Pubertal status, Growth and development, Smoking exposure, Parental overweight status, Family characteristics, Tobacco smoking, Alcohol consumption, Diet, Parental diet, Parent use of supplements

(1) feasible: study with dq-score computation published (see references)

Anthropometry (height, weight, waist circumference, BIA), Blood pressure, Physical fitness, Physical activity, Hand grip strength, Lung functioning, Mobility, Muscle strength, Sensory factors, Blood measures, Urine measures, MR imaging, ECG, Smoking, Alcohol consumption, Nutrition, Nutritional energy balance, Chronic infections, Psychosocial factors (personality traits, chronic stress, workplace social environment), Occupational and Environmental influences, Cognitive Function, Use of medications, Socioeconomic status, Dental health

(2) feasibleAnthropometry (weight, height), Lifestyle characteristics, Socioeconomic characteristics, Health status, Smoking, Blood measures, Dietary intake

EPIC_SOFT validated as part of the EFCOVAL project (de Boer, E. J. et al 2011. The European Food Consumption Validation Project: conclusions and recommendations. 10.1038/ejcn.2011.94)

Food consumption, Nutrient intake, Use of dietary supplements, Further aspects of nutritional behaviour (e. g. cooking skills, special diet, nutritional knowledge), Shopping Behaviour, Health aspects, Socio demographic

Yes (food consumption)Uncertain (others)

(1) feasible: study with dq-score computation published (see references)

(2) feasibleNutritional habits (mother), Food frequency questionnaire, Dietary intake (mother & child), 3 day food record, Intake of pro-/prebiotic supplements, Breastfeeding, Demographics and Socioeconomic status (main language spoken, nationality, education, smoker/nonsmoker, weight, height, and family income), Community (rural or urban), Family history of diabetes, Prenatal and perinatal factors, Anthropometrics (height, weight, length, waist circumference, skinfold), Blood sample, Pubertal status

(4) not feasibleDietary intake, Gluten free diet, Introduction of new food groups, 3-monthly collection of venous blood, urine and stool, Infections, Medication, Demographic, family history questionnaires, Psychological impact

Genetics, Age, Physiological factors, Energy Intake, Meal Composition

(2) feasible(i) Family background and lifestyle factors, e.g. parental/caregivers’ education and occupation, child’s sleeping patterns; (ii) Parental/caregivers’ behaviour and children’s behaviour, i.e. parental water consumption/snacking/physical activity and parental and children's sedentary behaviour and (iii) Perinatal factors, e.g. birth weight, breastfeeding duration. Medical history of child, Anthropometrics (height, weight, waist circumference), Teacher's self efficacy, habit, knowledge, attitudes and social influence in relation to children's to children’s water consumption and snacking, Kindergarten food environment

A description of the development of the questionnaire and findings on its reliability are described in the paper by González-Gil et al. (published in Obesity Reviews).

N/A Competence Subscale from the Intrinsic Motivation Inventory - internal reliability

Autonomy Subscale from the Health Care Climate Questionnaire - internal reliability, predictive validity

Autonomy Need Satisfaction Subscale- internal reliability, predictive validity

Acceptance subscale from the Need for Relatedness Scale - internal reliability, predictive validity

Motivational climate (MMCOS) - inter- and intra-rater reliability, other psychometric properties - in preparation

Undetermined (4) not feasible

Content validity

(5) feasibility not clarified(Fast)food outlets and other food purchase options in the neigbourhood, Perceived availabiltiy, Barriers to healthy eating, etc., ; How often people cook themselves (using raw ingredients, as opposite to take-away etc)

Environmental/ALPHA Questionnaire (slightly adapted)- internal consistency, test-retest reliability, predictive validity validity and reliabilty of assessment of environmnental charactersitics istested against real-life neigbhourhood audits.

(3) crudely feasible

SWOT/SOR-analysis of the regional nutrition initiatives and institutions

Self-regulation of food intake (food temptation, healthy eating goals), Environmental influences, Social images of food, Pre-exposure to food temptations, Incentives and rewards

Medical, Psychological, Social conditions of each person, Personal goals relating to nutrition and physical exercise, Nutrition plans, Social support

(2) feasibleAnthropometric (height, weight, waist circumference), Ethnicity, Family status of the child, Attitude, knowledge of health promotion recommendation with regard to the specific EBRB, self-efficacy, health beliefs, preference/liking and habit strength for all dietary behaviours, physical activity/sport behaviours, and television viewing, School environment (cafeteria and recreational areas), Peer subjective norms and peer modelling, Blood measures, Family environment (sociocultural, political environmental factors, physical environmental variables, economic or financial environmental factors), Dietary intake, Fruit juice consumption, Sugar sweetened beverage consumption, Meal patterns, Breakfast consumption

Anthropometrics (height, weight, waist circumference), Blood pressure, Blood biomarkers, Wellbeing, Self-esteem, Vitality, Quality of Life, Long standing illness, disability or infirmity, Ethnicity, Marital status, Education, Current employment status, Income, Weight management strategies, Weight loss activities, Smoking

Existing policies addressing the national food environment (food production, food manufacturing, food trade, labelling of foods and beverages, food and beverage marketing and advertising, social welfare policy and health inequalities policy), Maternal and child health services (appropriate weight gain/loss for women during/after pregnancy, and at infant and young child feeding and breastfeeding), and schools (school policies on nutrition and physical activity), Community food environment (given neighbourhood in terms of the available shops selling food and beverages; cost and availability of indicative food items in selected grocery stores; marketing in and outside the grocery stores; nature and extent of television advertising during children’s television hours; cost and marketing related to selected fast food items)

N/A (4) not feasible

History of previous illnesses, History of smoking and physical activity (occupational and during leisure), Anthropometric measurements (height, weight, waist and hip circumference)

Diabetes risk, Biochemical tests, Anthropometric (weight, height, waist circumference, blood pressure), Sociodemographic, Lifestyle, Current health status, Medication use, Family history of disease, Chronic conditions, Quality of life, Daily consumption of vegetables, fruits or berries

(4) not feasible

Environmental/ALPHA Questionnaire (long /short)- internal consistency, test-retest reliability, predictive validityGeographical Information System (GIS)

Physical Activity Neighborhood Environment Survey (PANES/IPS Environmental Module)- internal consistentcy, test-retest reliability

(5) feasibility not clarifiedLocal policies, School meal assessment (fixed/flexible service), Children's request for food advertised on TV, Family food buying habit, Parental feeding style, Parents' belief in good health concept and obesity perception

Parental feeding style- internal consistency

Action competence- self-reportActive participation in creating change- self-report

Triangulation Document screening, e.g., project reports, self-evaluation portfolios, researchers observation, interviews with local coordinator and local facilitator, project participants

Not reported

N/A

Anthropometry (weight, height, waist and hip), Blood pressure, Blood tests, Cognitive decline, Depression, Disability, Family history of disease, Lung Function, Perceived health, Quality of life, Environmental factors (e.g., occupational exposures), Socio-economic factors (e.g., education, income), Lifestyle factors (e.g., tobacco smoking, alcohol drinking), Nutritional factors (e.g., BMI, Dietary patterns, fruit and vegetable consumption

Fugl-Meyer Motor Assessment- concurrent validity, discriminant validity, inter-, intrarater reliabilityThe Action Research Arm Test- predictive validity, internal consistency, inter-rater reliability, test-retest relliabilityFunctional Reach Test- convergent validity, test-retest reliabilityFunctional Independence Measure- content validity, predictive validity, construct validity, concurrent validity, discriminant validity, inter-rater reliabilityBox and Blocks test- construct validity, test-retest reliability10-meter walk test- construct validity, test-retest reliabilityTimed get up & Go Test- construct validity, test-retest reliability, inter-, intrarater reliabilityThe Executive Functions Route Finding Test- construct validity, criterion validity, concurrent validity, internal consistency, inter-rater reliability, test-

Uncertain

Food environment (number and type of stores, health food availability within stores)

unavailable (qualitative data)

Nintendo Wii Agility and Stillness tests- concurrent validity, re-test reliabilityFeasibility questionnaire (on motivational properties)- unknown validity/reliability

unknown

Anthropometry (height, weight, BIA), Self-reported health, Chewing sensor, EMG, Acceptance of food products, Mood, appetite and taste ratings, Eating rate, History of eating disorders, Food preferences, Allergies

BMI, Mental state, Nutritional status, Blood measures, Demographic information (Education, Marital status, Retirement status), Health status, Behavioural risk factors (smokers, heavy drinking, physically inactive), Cognitive parameters, Concentration and memory, Social support, Social inclusion, Dietary habits (distribution of meals during the day, the motivation to eat and its related sensations (e.g. appetite, satiety, fullness, discomfort)

Detail not available at present (Ongoing)

Environmental factors (Climate change), Dietary intake

(2) feasible

Micro and macro environment, Behaviours, Social norms

Dietary habits of family and eating out habits of family, Food advertisements or vending machines for soft drinks and snacks (School level), Taste preferences and perceptions of children.

Height and Weight, Bioelectric Impedence, Skinfold Thickness, DEXA Scan (4) not feasible

(4) not feasibleBarriers to healthy dietary habits, Nutritional criticalities, Eating habits, Self-reported nutritional state, Wellbeing, Malnutrition, Healthy eating habits

Anthropometry, Blood tests, Health and Lifestyle, Dietary intake, Migration status, Family life and domestic duties, Physical symptoms, Emotional symptoms, Perceptions and beliefs about local health services.

Lifestyle, Environmental, Genetic, Epigenetic risk factors

(2) feasibleFamily based dietary choices. external factors (i.e., the socio-economic, environmental, and cultural context) as providers of a “choice context” for nutrition behaviour.Taste threshold, Psychological profile, School environment and family site, Canteen experience, Social factors

(2) feasible

Food security. Social support. Socioeconomic status (5) feasibility not clarified

Migration-related factors (premigration history, age at first migration, age at arrival in the current location, duration of residence, cultural distance and ethnic identity), Psychosocial vulnerability (perceived discrimination), Alcohol, Smoking, Perceived body weight and body shape.

USDA's HFSSM (Household Food Security Scale Measure).

USDA Food Sufficiency Indicator (4) not feasible

(2) feasible

Place of birth, Familial status, Housing, Food sufficiency, Number of meals per day, Obesity, Blood pressure, Biological markers, Food insecurity, Access to care, Sleep disorders

Anthropometrics (height, weight, hips, waist, arm, calf and thigh circumference), Current health, Medication Use, BIA, Blood pressure, Blood measures, Migration-related factors (premigration history, age at first migration, age at arrival in the current location, duration of residence, cultural distance and ethnic identity), psychosocial vulnerability (perceived discrimination), Alcohol, Smoking, Perceived body weight and body shape, Use of dietary supplements

No (1) feasible: study with dq-score comput

BMI is self-reported (5) feasibility not clarified

Individual (biological/genetic, psychological, sociodemographics, sensory), Physical examination, Anthropometric measurements, Blood pressure assessment, Electrocardiogram, Clinical related disease outcomes, Interpersonal (social), Environmental

Self-reported BMI, Health perception, Illness and Chronic conditions, Emotional wellbeing, Mental health disorders, Eating disorders, Oral health, Quality of life, Nutritional status, Consumption of alcoholic drinks, tobacco and other products, Nutritional behaviour, Cancer screening, Vaccination, Cardiovascular prevention, Physical Activity, Use of medical services, Medication use, Social contacts, Health and Environment, Sociodemographic factors

(2) feasible

Food choice, Food safety, Food marketing, Economics, Healthy Eating policy

Sociodemographics and Economics, Dietary behaviour and patterns, Food intake, Nutritional status, Health status, Biological and clinical markers

Pregnancy related determinants (demographic background, lifestyle (e.g. use of alcohol, smoking, physical activity), Nutrition (e.g. use of folic acid supplements, consumption of fish), Psychosocial conditions (e.g. work-related stress, depressive symptoms, pregnancy-related fears, fatigue, etc.), Child outcomes: Height, weight, waist and hip circumference, Heart rate, Blood pressure, Cognitive performance, Child’s health and development, Child’s behaviour and achievement at school, Food intake, Nutrients and dietary behaviour

(2) feasibleEducation, Economic index, length of residence (acculturation), age at migration (past exposure) and social ties with the home country (current exposure)

Food security, Home food availability, Child's food perceptions, Child self efficacy, Child DEBQ (Dutch Eating Behaviour Questionnaire; Emotional Eating Scale; ChEAT (Children Eating Attitudes Test); Self-esteem; Children’s perception of body image and normal weight; Coop charts for assessing children’s emotional and physical status; Social Support and Eating Habits and Social Support and Physical Activity Levels; Children’s perceptions of portion size; Children’s nutrition knowledge. Teacher's questionnaire dietary patterns at school etcSchool environment: Information on most popular foods sold at school canteens; School Health Index filled in by the school principal. Degree of children’s exposure to food advertisement

BMI measured. Maternal BMI on self-report

(1) feasible: study with dq-score computation published (see references)

Indices of inequalityReferences on diet quality score computation (where applicable)

Information / sources on DQ score computability (where applicable)

Ethnic minority group(s) involved

References on diet quality score computation (where applicable)

Information / sources on DQ score computability (where applicable)

Indice(s) used to inicate social inequality

Information on ethnic minority group(s) involved in the study

UnknownBurggraf et al. (2012)- DQI-I of Kim et al. (2003)

Household size; Number of dependents; Employment; Income; Adult/child education; Household income/expenditure; Benefits; Credit

Not reported Not reported

Parental Education Unknown

Socioeconomic Status Serbian Speaking PopulationOnly 12 food groups (fruit, vegetables, potatoes etc.) consumed in one week (on household-level) http://www.unicef.org/kosovoprogramme/kosovo_media_pub_survival.004.04.pdf (Not feasible)

No focus on food intake, nutritional status measuered by anthropometrics and duration of breastfeeding

Wealth index, Marital Status, Education

Minority groups were mainly Turkish, Roma and Serbian

Unknown

Not reported Unknown

Wealth index, Education, Gender inequality

UnknownSocioeconomic status (eg. family affluence, parental education, car/PC ownership, internet access)

No detailed information found Unknown No

No further information found Unknown Unknown

UnknownMarital status, Occupation, Education, Social class

Unknown

Unknown Unknown

Parent's education, Parent's employment

No dietary measurements. Only anthropometrics to calculate the prevalence of obesity according to sex, nationality, area (rural/urban) and age. See: http://www.biomedcentral.com/1471-2458/14/806

Socio-economic status Unknown

Socio-economic status Unknown

Unknown

Not varying from the international questionnaires

Socio-economic conditions of the family (e.g. parents' level of education), Living environment (e.g. opinion of the respondents about the living and urban environment in which they live)

FAS (Family Affluence Scale)

Unknown

Unknown

Education, Professional condition, Occupation

Socio-demographic characteristics of the participants

Unknown Unknown

YesParental education level, Occupation

Unknown Unknown

Unknown

Unknown

Cheng et al. (2010)- Nutritional Quality Index (NQI) of Gedrich and Karg (2001)- Revised Children's Diet Quality Index (RC-DQI) of Kranz et al. (2008)

Parental educational status

Education, Income, Occupational status

Socioeconomic status Unknown

Thiele et al. (2004)- Deficient index of Thiele et al. (2004)- Excess index of Thiele et al. (2004)

Index of socio economic status (education)

Study population is based on the German speaking population but includes people not born in Germany

Socioecomonic status UnknownAccording to how the food intake is measured, it seems possible to use this for DQI-Analyses. But I don't know if they are useful for the respective sample (mothers and their offspring)

Unknown Unknown

Unknown Unknown

Unknown Unknown

Participants were recruited from municipalities grouped in three socioeconomic levels. The socioeconomic level of the kindergartens and the family at the baseline measurements was defined based on the SES level of the municipality they belonged to.

Socio-demographic data of each family (e.g. maternal and paternal education level, nationality, family composition, parental occupation) were collected

Low, medium, high SES.

Although the ToyBox-study included all SES groups, information about parental nationality have been collected so it is possible to perform analyses specifically for ethic minority groups (for the total sample and within each country).

Unknown Unknown

UnknownNo information found on any information on dietary measurements except alcohol and tobacco.

Unemployment, Poverty, Access to education, Preventive health care

Unknown Unknown

No information found on dietary measur Neighbourhood SES, individual SES (e.g. age, gender, education attainment, employment status, household income/year, household composition)

Able to assess ethnicity for some included countries

Unknown Unknown

Unknown Unknown

Unknown Unknown

Dietary intake was assessed with four single items on the average daily intake of sugar-sweetened beverages,snacks, fruits and vegetables as prototypical (un)healthy foods that adolescents may (or may not) consume" see: http://dspace.library.uu.nl:8080/handle/1874/306826

Ethnicity included as variable

Ethnicity included as variable

Unknown Unknown

Food-frequency questionnaires and 24h-recall (see: http://www.biomedcentral.com/1471-2458/11/65#B16 )

Socioeconomic status (educational level, occupational status)

Marital status, Education, Current employment status, Income

Sociodemographics Unknown

Unknown Unknown

Level of education Unknown

UnknownSociodemographic data (education, marital status, working status)

Unknown Unknown

Unknown Yes

Unknown Unknown

Unknown

Unknown Unknown

Income, Education level, Employment

Unknown Unknown

Unknown Unknown

no detailled information found UnknownParents' education level, employment status

Unknown Unknown

UnknownEducation, occupation, income level

Unknown

Unknown

Socioeconomic status Unknown

SES (derived from age, education/occupation, housing characteristics)

Mortality rate, Morbidity, Self-perceived health, Education level

Unknown

Unknown Unknown

Socio-economic factors (education, income)

Unknown Unknown

Unknown

Unknown Unknown

Neighborhood Socioeconomic Status

Unknown Unknown

Unknown Unknown

Years of education Unknown

Unknown Unknown

Unknown Unknown

Unknown Unknown

Unknown Unknown

Unknown Unknown

Unknown Unknown

No

Unknown Unknown

A 43-item FFQ was used to make assumptions of the mediterranean diet (feasible) http://www.eufic.org/page/en/show/latest-science-news/page/LS/fftid/A_ Mediterraneanlike_diet_is_associated_ with_ lower _weight_in_children_but_has_become_less_common_in_the_region/

Economic status, size/structure of family and parental education/income

Unknown Unknown

Unknown

Migration status Yes

Groups at risk of poverty are included

Unknown Yes

FFQ and 24h-dietary recalls Socioeconomic status Unknown

Education level and parental education, Employment status and parental employment status, Occupational status, Wealth

Ghanaians living in UK, Germany and Amsterdam

havn't found concrete information on dietary measurements

Household income. education level (in three categories), occupational status and socio-occupational category (a 6-category variable based on the French National Bureau of Statistics’ classification) Area level SES.

Yes (uncertain on what specific groups)

Education level, Current job status, Primary source of household income, Duration of food-aid use

North African, African, Eastern European

FFQ contained culture-specific food items (-220 items)

Education level, Employment status, Occupational status and wealth

Turkish, Moroccan, Surinamese of African origin, Surinamese of South Asian origin, Ghanaian

UnknownLassale et al. (2012)- French Programme National Nutrition Santé-Guideline Score (PNNS-GS-2009) of Estaquio et al. (2009) - Dietary Guidelines for Americans Adherence Index (DGAI-2005) of Fogli-Cawley et al. (2006)- Diet Quality Index-International (DQI-I-2003) of Kim et al. (2003) - Mediterranean Diet Scale (MDS-2003) of Trichopoulou et al. (2003) - Relative Mediterranean Diet (rMED-2009) of Buckland et al. (2009)- Mediterranean-Style Dietary Pattern Score (MSDPS-2009) of Rumawas et al. (2009))Kesse-Guyot et al. (2009, 2011)- French Programme National Nutrition Santé-Guideline Score (PNNS-GS) of Estaquio et al. (2009) Dauchet et al. (2007)- Dietary Approaches to Stop Hypertension score (DASH score) of Fung et al. (2008)

Area of residence, Number of children, Education, Occupation, Housing

Characteristics of dwelling (physical decay),Income of the household, Income at individual level, Employment, Education

Yes (Based on a representative population sample, so the absolute number is uncertain)

No

Unknown Unknown

Sociodemographics & economics (age, sex, Marital status, Number of children and grand-children, Number and relationship of individuals in the household, Employment situation, Current or most recent occupation, Educational level, Income level)

Age, Educational level, Marital status, Country of birth

Ethnic differences in perinatal risk-factors, perinatal outcomes and health outcomes of the children.

Tunisian migrantsTo assess economic status, correspondence analysis wasperformed on the matrix of indicator variables codingcharacteristics of dwelling, utilities and appliances. Thescore of each household on the first principal componentwas used as a summary index of household wealth

Unknown

Unknown Unknown

Manios et al. (2010)- Healthy Lifestyle–Diet Index (HLD-Index) of Manios et al. (2010)

Annual family income, Parental education, Size of house, Number of people living in house, House ownership, Car ownership

Dataset accessibility Access of project info to public

Accessibility of the dataset Accessibility of the dataset information to the public

Available after cohort paper written up Public access with permission at: http://www.cpc.unc.edu/projects/rlms-hse/data

"Public Access without Permission" "Public Access with Permission" (for some data)“Access after board review and written MTA (Material Transfer Agreement)” (for selected confidential data)“Access to raw data at local site” (on website of rlms in Russian in Russia and English in the US website at CPC)

Yes"Access after board review and material transmission agreement" (suggested by project collaborator Agneta Yngve)

Yes (unsure about level of accessibility) Yes

Permission is still pending

"Public Access without Permission" "Provision of summary tables for meta-analysis"

"Public Access with Permission" Yes

Permission is still pending

Yes“Access after board review and written MTA (Material Transfer Agreement)”“Access to raw data at local site”“Provision of summary tables for meta-analysis”

Unknown

Unknown

Unknown

Yes

No access

Public access with permission through: https://www.okkioallasalute.it/?q=node/5

No Access

Yeshttp://www.euro.who.int/__data/assets/pdf_file/0004/258781/COSI-report-round-1-and-2_final-for-web.pdf?ua=1

Yes"Access after board review and written MTA (Material Transfer Agreement)""Provision of summary tables for meta-analysis""Access currently unknown"

Public accesss with permission at: http://www.hbsc.org/data/index.html

"Public Access with Permission"“Access after board review and written MTA (Material Transfer Agreement)”“Access to raw data at local site”“Provision of summary tables for meta-analysis”

Yes. The HBSC Network is open to share data following data requests. We are further in process of establishing an Open Access system for data sets after a three year embargo period. For more details please visit www.hbsc.org

Yes

Public access with permission at: https://contact.istat.it/

*In all cases the data provision is the results of a collaboration that can be activated through project partnership and/or Memorandum of Understanding, preferably. The easist way is formulating requests to CRA-NUT team for transferring processed data accorfing to the needs of information.

"Public Access with Permission"“Access after board review and written MTA (Material Transfer Agreement)”“Access to raw data at local site”“Provision of summary tables for meta-analysis”“Access via federated data sharing systems”

Yes

“Access to raw data at local site” Yes

"Public Access with Permission" (Data are collected by ISTAT, the Italian National Office for Statistics. Researchers should formally request authorization for data use. They will be asked to describe the corresponding research project)“Provision of summary tables for meta-analysis” (online on the ISTAT web site)“Access through data ware houses” (some tables are available through the ISTAT data ware house: http://dati.istat.it/?lang=en )

Permission is still pending

Yes

Yes

"Access after board review and written MTA (Material Transfer Agreement)"

"Provision of summary tables for meta-analysis"

"Provision of summary tables for meta-analysis"General regulations for access to data of the NVS II:The regulations on the NVS II data restrict the use to universities, public and/or publicly funded scientific research institutions (“Access for scientific community”). Furthermore, a general essential prerequisite is the pure scientific use of NVS II data, excluding any commercial use of the data and of the derived results. Beside the provision of summary tables, access to the data is possible via the Scientific Use File or via cooperation: - The Scientifc Use File of the NVS II contains specific sets of variables to provide data on food consumption (aggregated) and nutrient intake (both based on diet history interviews). A separate application is needed for each research project. http://www.mri.bund.de/no_cache/de/institute/ernaehrungsverhalten/forschungsprojekte/die-nationale-verzehrsstudie-ii/scientific-use-file.html - Cooperation for specific research questions with more detailed data (e.g. from 24h-recalls) is possible. For this purpose a signed cooperation agreement will be needed in which the project and the research questions, required data and general regulations regarding the use of these data will be specified. Aims of cooperation could be common analyses and publishing of joint publication(s).- All requests for data access must be approved by the MRI.

Information about the NVS II can be included in the compendium if the description and specifications are in agreement with the MRI

"Access with permission" Yes

"Access with permission" Yes

Yes"Public Access with Permission""Access after board review and written MTA (Material Transfer Agreement)”"Provision of summary tables for meta-analysis"

"Access after board review and written MTA (Material Transfer Agreement)"

"Provision of summary tables for meta-analysis" (upon approval from the ToyBox Steering Committee)

General information: Yes

Outputs/Tables with results: can be available upon request to the ToyBox Steering Committee (depending on the ToyBox-publications being prepared).

Datasets: can be available upon request to the ToyBox Steering Committee from April 2016 onwards.

Yes"Willing to provide the data on a case-by-case basis (we will assess whether each intended analyses does not overlap with planned analyses from our group etc)"

Yes

"Access currently unknown" Yes

"Public Access with Permission""Access after board review and written MTA (Material Transfer Agreement)""Provision of summary tables for meta-analysis"

"Access currently unknown" Yes

Yes

Yes"Access after board review and written MTA (Material Transfer Agreement)""Access to raw data at local site"

“Access after board review and written MTA (Material Transfer Agreement)”

"Each cohort has its own data access procedures. Most would fall under access after review and written MTA."

Yes - "Information about CHICOS can be included. This would be similar to the information already available from our website. The datasets are held by the individual cohorts that participate in the CHICOS network. Any information on datasets can be asked directly from the cohorts. Also our inventory www.birthcohorts.net contains a complete inventory of all cohorts and their data."

Accessible without permission yes

Yes

Currently unknown Yes

Freely shared - environmental variablesNot accessible - health data

YesYeshttp://vision.imar.ro/human3.6m/filebrowser.php "Public access with permission"

Yes"Access after board review and written MTA (Material Transfer Agreement)"

"Access currently unknown"

"Access after board review and written MTA (Material Transfer Agreement)" "Provision of summary tables for meta-analysis"

Yes, if deadling with diet, physical activity and sedentary behaviour. Information on variables and measurement methods for cognitive decline cannot be made publicly available at this stage.

Yes"Access after board review and written MTA (Material Transfer Agreement)""Provision of summary tables for meta-analysis""Access to raw data at local site" - with signed collaboration agreement"Access via federated data sharing systems" - depends on the systemNB. 'the decision to make data available is made on a case-by-case basis in order to protect partners working on certain related publications'

"Accessible without permission" Yes

"Pending"

"Access after board review and written MTA (Material Transfer Agreement)" - possibly"Provision of summary tables for meta-analysis" - possibly

Yes - after data analysed (expected by Feb 2016)

Yes“Access after board review and written MTA (Material Transfer Agreement)”“Access to raw data at local site” (with signed collaboration agreement)“Provision of summary tables for meta-analysis”“Access via federated data sharing systems” (depends on the system)

Yes

Yes"Public Access with Permission""Access after board review and written MTA (Material Transfer Agreement)"

Uncertain

Yes"Access after board review and written MTA (Material Transfer Agreement)""Provision of summary tables for meta-analysis"

"No free access - collaborations only"

Probably

Yes

Yes

"Public Access with Permission" Yes

"Access after board review and written MTA (Material Transfer Agreement)""Access to raw data at local site""Provision of summary tables for meta-analysis"

"Access after board review and written MTA (Material Transfer Agreement)"

Pending Pending

Uncertain

"Access via federated data sharing systems"