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Review ArticleExamining the Obesogenic Attributes of the Family Child CareHome Environment: A Literature Review
Lucine Francis ,1 Lara Shodeinde,1 Maureen M. Black,2,3 and Jerilyn Allen1,4,5
1Department of Acute and Chronic Care, Johns Hopkins University School of Nursing, Baltimore, MD 21205, USA2Division of Growth and Nutrition, Department of Pediatrics, University of Maryland School of Medicine, Baltimore,MD 21201, USA3RTI International, Research Triangle Park, NC 27709, USA4Division of Internal Medicine, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA5Department of Health, Behavior, and Society, Johns Hopkins School of Public Health, Baltimore, MD 21205, USA
Correspondence should be addressed to Lucine Francis; [email protected]
Received 4 November 2017; Revised 3 April 2018; Accepted 19 April 2018; Published 10 June 2018
Academic Editor: Sharon Herring
Copyright © 2018 Lucine Francis et al.,is is an open access article distributed under the Creative Commons Attribution License,which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Childhood obesity is a major public health concern in the US. More than a third of young children 2–5 years old are placed innonrelative child care for the majority of the day, making the child care setting an important venue to spearhead obesityprevention. Much of the obesity research in child care has focused on center-based facilities, with emerging research on FamilyChild Care Homes (FCCHs)—child care operated in a home setting outside the child’s home. ,e purpose of this review was toassess the obesogenic attributes of the FCCH environment. A search of the PubMed, Embase, CINHAL, and PsycINFO electronicdatabases identified 3,281 citations; 35 eligible for full-text review, and 18 articles from 17 studies in the analysis.,is review founda lack of comprehensive written nutrition and physical activity policies within FCCHs, lack of FCCH providers trained innutrition and physical activity best practices, lack of adequate equipment and space for indoor and outdoor playtime activities inFCCHs, inaccurate nutrition-related beliefs and perceptions among FCCH providers, poor nutrition-related communication withfamilies, and poor feeding practices. Future research focusing on interventions aimed at addressing these problem areas cancontribute to obesity prevention.
1. Introduction
Although young children 2–5 years of age in the UnitedStates (US) have experienced a decline in obesity, from13.9% in 2004 to 8.4% in 2012, the prevalence of overweightor obesity continues to be alarmingly high, with 22.8% ofyoung children classified as overweight or obese [1]. Youngchildren from low-income and ethnic minority families areevenmore likely to be obese, compared to nonpoor and non-Hispanic White children [1, 2]. A total of 16.7% of Hispanicand 11.3% non-Hispanic Blacks are obese, compared to 3.5%non-Hispanic White and 3.4% Asian 2–5-year-olds. In 2014,data from the Centers for Disease Control and Preventionshowed that 14.5% of low-income 2- to 4-year-olds whoparticipated in the Special Supplemental Nutrition Programfor Women, Infants, and Children (WIC) were obese [2].
Obesity among young children increases the likelihood ofdeveloping high blood pressure, [3] glucose intolerance [4],and poor sleep [5], all of which influence the risk for heartdisease. Additionally, high hospital expenses related tocomplications of elevated body mass index (BMI) in youngchildren have contributed to increasing financial burdens [6].
Much attention has been given to energy balance-relatedcauses of obesity that are amenable to effective preventioninterventions [7]. To effect change in reducing childhoodobesity, a greater understanding of the environment in whichchildren spend the majority of their time is imperative.
Parents of young children aged 2–5 years rely on earlychild care on a regular basis [8]. Although most childrenare placed in center-based child care or are cared for byrelatives, nearly 2 million young children in the US areplaced in Family Child Care Homes (FCCH)s, which
HindawiJournal of ObesityVolume 2018, Article ID 3490651, 20 pageshttps://doi.org/10.1155/2018/3490651
provide nonrelative care in a home setting outside the child’shome [8]. Children in child care settings eat 2-3 meals in-cluding beverages each day and have opportunities forphysical activity. Young children in FCCHs are at increasedrisk for becoming overweight or obese, compared to childrenplaced in center-based facilities; however, little is knownabout how the FCCH environment relates to childhoodoverweight or obesity [9–11]. Although most research relatedto child care and obesity has concentrated on center-basedchild care, research on the obesogenic attributes of the FCCHenvironment is emerging. We identified no reviews that havesynthesized the literature on the FCCH environment. ,epurpose of this review was to examine the attributes of theobesogenic environment of US-based FCCHs.
2. Methods
2.1. Search Strategy and Eligibility Criteria. We searched thefollowing electronic databases for relevant articles publishedin English between 2006 and 2016: MEDLINE via PubMed,EMBASE via Elsevier, CINAHL via EBSCOhost, and Psy-cINFO via EBSCOhost. To identify candidate studies forreview, we used the keywords and controlled vocabularyterms in the following concept groups: (child care OR familychild care homes OR day care OR home-based day care ORchild care centers) AND (obesity OR overweight). ,ecomplete search strategy can be found in the online resourcefor this manuscript. We chose to review articles since 2006coinciding with a landmark commentary on the role of childcare settings in obesity prevention, highlighting the need tofocus on FCCHs [12]. ,e final search for each database wasconducted on August 8, 2016.
Studies were eligible for inclusion if they were US-based,child care studies in peer-reviewed journals that included anenvironmental assessment of FCCHs, and focused onFCCHs that cared for children aged 2–5 years. Nonpilotintervention studies that provided results for the assess-ment of the environment preintervention and studies thatcompared the environments of FCCHs and other types ofnonrelative child care settings, including center-based fa-cilities, were also included. ,e environmental assessmentcould have been conducted through various methods; forexample, through observations, surveys, interviews, or focusgroups. We excluded studies that focused on parental homesettings. All search terms regarding the type of child carewere used because FCCHs are described in many differentways (e.g., child care homes and home-based daycare). Wealso aimed to resolve any confusion of child care terms suchas preschools operating out of homes. Finally, we includedstudies that compared FCCHs to other types of nonrelativechild care settings.
2.2. Screening Process. ,e screening process occurred intwo waves. In the first wave, titles, abstracts, and occasionalfull-text were screened to determine eligibility regardingUS-based nonrelative child care studies in which the envi-ronment was assessed for children 2–5 years of age. In thesecond wave, titles and abstracts identified for inclusion
from the first wave were further screened to identify studiesthat included FCCHs and assessed the environment of theFCCH setting. ,ese studies included nonpilot interventionstudies that provided results for the assessment of the FCCHenvironment preintervention and studies that compared theenvironments of FCCHs to other types of nonrelative childcare settings. LF and LS independently screened the titles,abstracts, and occasional full-text. Any discordant reviewsconcerning eligibility were discussed and resolved. Articlesidentified from the second wave of screening were eligiblefor full-text review.
2.3. Data Abstraction. Articles identified for full-text reviewwere examined for eligibility for inclusion in this review.Data from full-text articles eligible for inclusion were ab-stracted and included information on authorship, year ofpublication, the location of study, and FCCH provider leveland child level demographic information (i.e., sample size,race/ethnicity, level of education, age, and BMI). Addi-tionally, we abstracted information on the status of FCCHsbased on their participation in the Child and Adult CareFood Program (CACFP), a subsidy program operatedthrough the US Department of Agriculture (USDA), whichprovides reimbursements to eligible providers for the pur-chase of nutritious foods. Finally, we recorded the assess-ment findings of the FCCH environment. LF and LSexamined the full-text articles for eligibility, abstracted thedata, and reviewed each others’ abstraction for any missingor incorrect information. We used Microsoft Excel forscreening titles and abstracts and for abstraction of data.Full-text articles were read in portable document formats.
2.4. Classification of Studies. ,e articles included in thereview were further classified using the EnvironmentalResearch framework for weight gain prevention (EnRG), aninnovative framework grounded in behavior change-ecological theory [13]. EnRG consists of 2 frameworks.,e first is the ANGELO-ANalysis Grid for EnvironmentsLinked to Obesity-framework, which we used to classify theobesogenic attributes within the physical (what’s available inand outside the FCCH, including education and trainingopportunities), sociocultural (i.e., culture around feedingpractices, mealtime environment), and policy (child carepolicies to ensure best practices and to prevent obesity in theFCCH) environment [14]. ,e second is the ,eory ofPlanned Behavior (TPB), which we used to classify articlesthat assessed the environment related to FCCH providerattitudes, beliefs, and perceptions [15]. ,ese articles wereorganized by matching the terms and definitions used in thearticles to the TPB concepts; Attitudes (behavioral beliefsabout consequences or expected outcomes), Subjective Norm(normative beliefs or perception of beliefs held by mostFCCH providers), Perceived Behavioral Control (perceivedlevel of control to engage in best practices or perceivedfactors that may serve as enablers or barriers to engaging inbest practices), and Behavioral Intent (strategies that are putin place to ensure that providers provide quality environ-ments for the children in their care) regarding energy
2 Journal of Obesity
balance-related behaviors (EBRBs). Since knowledge isclosely aligned to perceived control, provider knowledge wasalso classified under TPB. Demographic factors that werehighlighted in the articles and included in the data analyses(i.e., neighborhood, FCCH/facility level, provider, and childlevel information) were classified as potential moderators.EBRBs refer to any activity that may influence children’sweight in an FCCH setting. ,ese four categories (envi-ronment, TPB concepts, potential demographic moderators,and EBRBs), which represent major components of the EnRGframework, were chosen to organize the study findings. Usingthis framework to help identify obesogenic attributes of theFCCH environment and EBRBs can potentially serve asa model to help guide child care researchers on how to de-velop tailored interventions unique to the FCCH setting.
3. Results
3.1. Results of Search. ,e summary of the search andscreening results is shown in a flow diagram in Figure 1. Atotal of 3,281 records were identified from the four databasessearched: 687 duplicate records were removed, and the titles
of the remaining 2,594 records were screened in wave 1 foreligibility. A total of 103 records identified through wave 1were screened for further eligibility, and 35 studies wereidentified for full-text review. Seventeen articles were ex-cluded, and 18 articles were included in the review, reportingresults from 17 studies.
3.2. Study Population. ,e results abstracted from thestudies are summarized in Tables 1 and 2. Table 1 displaysthe policy, physical, and sociocultural FCCH environmentassessment results. Table 2 displays the results from studiesthat assessed the FCCH environment related to providers’attitudes, beliefs, and perceptions. Per eligibility criteria, allarticles included in this review involved FCCHs and assessedthe environment [16–33]. ,ere were eleven cross-sectionalstudies [16, 17, 19, 20, 22, 23, 25, 26, 29–32], one obser-vational study [27], one study used accelerometers [21], andfour studies used qualitative methods [18, 24, 28, 33]. Eightstudies focused solely on FCCHs or FCCH providers,meaning these studies did not include other types of childcare facilities [16, 18, 21, 24, 27–30]. Five studies examinedboth the nutrition and physical activity environment
Full-text articles excluded, withreasons (n = 17):
PA or nutrition environment notassessed (8); FCCH included but
not assessed separate from center-based assessment (1);
intervention study but no baselineassessment (1); not journal
articles, i.e., abstracts, dissertation,and poster (3); studies based on
infants (2); non-US basedstudy (1); not published within
time frame (1)
Articles included in review(n = 18 articles; 17 studies)
Records screened(n = 103) again(title, abstracts,
occasional full text toidentify studies thatincluded FCCHs)
Records excluded(n = 2,485):
non-US basedstudies, non-child caresettings (i.e., parental
home settings),school-aged children,
no assessment of environment,
intervention studieswithout baselineassessment data
Records a�er duplicatesremoved(n = 687)
Records identifiedthrough database
searching(n = 3,281)
Records screened(title, abstracts,
occasional full-text forclarity on existence of
baseline data forintervention studies)
(n = 2,594)Records excluded
(n = 68):FCCH setting not
included, no assessmentof FCCH environment,studies related only to
infants
Articles eligible for full-text review
(n = 35)
Iden
tifica
tion
Scre
enin
g(p
art I
)Sc
reen
ing
(par
t II)
Elig
ibili
tyIn
clude
d
Figure 1: Preferred reporting items for systematic and meta-analyses diagram depicting the flow of records.
Journal of Obesity 3
TA
BL
E1:
,epo
licy,
physical,and
socioculturale
nviron
mento
ffam
ilychild
care
homes.
Cita
tion/year/
state/metho
dSampledescription
Datasource/
measures
Policyenvironm
ent
Physical
environm
ent
Sociocultural
environm
ent
EBRB
sCovariatesin
analyses
(potentia
ldem
ograph
icmod
erators)
Nutritio
n
Freedm
anand
Alvarez
[17],Jou
rnal
oftheAmerican
Dietetic
Associatio
n/2010/CA/
Pre-po
sttest;cross-
sectionala
nalysesof
pre-test
phase
N�54%
(39)
FCCHs;
46%
center-based
a Provider
Race/ethnicity:7
6%of
FCCHsHisp
anic
Age:18years+
Mod
ified
SCFQ
andHCFS
Q
FCCH>Ce
nters
cook
ingfood
schild
renlik
ed(63versus
39%,n
s)allowed
child
rento
eatless
than
they
thinkthey
shou
ld(47versus
29%,n
s)Ra
rely/never
allowed
child
ren
toeatm
orethan
they
thou
ght
they
shou
ld(55versus
27%,n
s)
Ethn
icity
Hisp
anics
less
likelyto
eatm
eals
with
child
ren(diff:0
.24,
χ2�3.04;p<0.05);
morelik
elyto
force
child
rento
eatw
hatis
“goo
dforthem
”(χ
2�7.25
,p<0.05).
3xmorelik
elyto
cook
food
stheykn
ewchild
ren
liked
(χ2
�1.96
,p<0.001)
50%
insis
tedchild
ren
finish
food
before
leaving
thetable
Liuet
al.[19],
Materna
land
Child
Health
Journa
l/2016/OH/
cross-sectionalsurvey
N�185child
care
setting
s;44%FC
CHs;56%
centers
Mod
ified
NAPS
ACC
andEP
AO
FCCH
s<Ce
ntersre
policies
Beverages
only
milk
,water,a
nd100%
fruit
juiceserved;(47
versus
77%,
p�0.001)
<6oz
of100%
fruitjuice/day
served
to≥a
ge12
mon
ths(22
versus
43%,p
�0.003)
skim
,1or
2%milk
served>a
ge2
years(28versus
50%,p
�0.003)
Noeatin
g/drinking
outsidefood
s(12versus
31%,p
�0.003)
Useoffood
aspu
nishment/rew
ard
cann
otwith
hold/delay
food
/drink
sas
punishment;(44
versus
83%,p
�0.001)
cann
otgive
food
/drink
sas
arewardor
anincentive(30
versus
48%,p
�0.01)
Authoritarian/controlling
feeding
interactions
Noforcingchild
rento
eatcertain
food
sor
quantities;(33versus
55%,p
�0.004)
allowingchild
rento
decide
how
muchto
eat(25
versus
38%,
p�0.05)
Encouraged
(not
forced)to
eat/taste
food
(30versus
45%,
p�0.03)
FCCH
s>Ce
nters
teachabou
tfoo
d≥1
x/mos.(44
versus
27%,p
�0.01)
FCCH
s<Ce
nters
noto
ffering
fried
food
s(38%
versus
59%,p
�0.001)
4 Journal of Obesity
Tabl
e1:
Con
tinued.
Cita
tion/year/
state/metho
dSampledescription
Datasource/
measures
Policyenvironm
ent
Physical
environm
ent
Sociocultural
environm
ent
EBRB
sCovariatesin
analyses
(potentia
ldem
ograph
icmod
erators)
Natalee
tal.[20],Early
Child
hood
Education
Journa
l/2014/FL
/cross-sectionalsurvey
ofbaselin
edata
N�298FC
CHs;842
center-based
Provider/hom
eb,c SES
:Facilities’zip
code
�18.1%>40%
ofho
useholdincome<2
5KChildren
Race/ethnicity
Enrollm
ent
8.3%
FCCHs
predom
inantly
black
45.8%
FCCHs
predom
inantly
Hisp
anic
Mod
ified
HSF
FQ
FCCH
s>Ce
nters
provided
morelessons
with
abasis
inhealth
andnu
trition
/week
(p�0.036)
FCCH
s<Ce
nters
provided
1%milk
>1x/day(45.2versus
55%,p
�0.015)
FCCH
s>Ce
nters
provided
morefresh
fruit(
p�0.001),
limitedservings
ofrolls/bread
(28.1
versus
18.6%,
p�0.001)
Incomezone
offacility
Adjustin
gforincome
zone:
(nsassociations
between
facilitytype
andallo
ther
nutrition
al/dietary
outcom
es(p>0.05)
Ritchieet
al.[22],
Child
hood
Obesity/2012/M
ulti-
state/cross-sectional
survey
N�65
Headstart
centers;68
preschoo
ls;104CACFP
centers;88
non-CACFP
centers;65
CACFP
FCCHs;38
non-
CACFP
FCCHs
Adapted
NAPS
ACC
FCCH
s<state
preschools,
centers
Useddietitian
inmenuplanning
(0%
versus
19.1%,4
.2%,
p<0.001)
CACFP
status
CACF
Pan
dno
n-CA
CFP
FCCH
s>Ce
nters
served
who
lemilk
(p<0.001).
non-CA
CFP
FCCH
s>CA
CFPFC
CHs
served
cand
ydaybefore
survey
(15.8%
versus
6.2,
p<0.001)
served
sweeteneddrinks
daybefore
thesurvey
(18.4%
versus
7.7%
,p<0.001)
Ritchieet
al.[23],
Preventin
gCh
ronic
Dise
ase/2015/CA/
cross-sectionalsurvey
in2008
and2012
N�429child
care
sites
(2008);435
child
care
sites
(2012);65CACFP
homes;
38no
n-CACFP
homes
Adapted
NAPS
ACC
FCCH
s<Ce
nters
madewater
easily
availableto
child
ren
forself-service
indo
orsandou
tside
(44.8%
versus
73.1%,
p<0.001)
provided
tapwater
(p�0.01)
Tand
onet
al.[26],
Journa
lofN
utrition
Educationan
dBeha
vior/2012/FL
,MA,M
I,WA/cross-
sectionalsurveys
N�94
FCCHs;74
center-based
Provider
Levelo
fedu
catio
n:28%
HSgrad,21%
some
college,51%
2or
4year
college
NAPS
ACC
FCCHs+
Centers
�follo
wbest
practice
recommendatio
nsforservingwater
atleastdaily
+sugar
sweetenedbeverages
66%
FCCHsand
centerso
ffered100%
juice3-4tim
esweekly
Journal of Obesity 5
Tabl
e1:
Con
tinued.
Cita
tion/year/
state/metho
dSampledescription
Datasource/
measures
Policyenvironm
ent
Physical
environm
ent
Sociocultural
environm
ent
EBRB
sCovariatesin
analyses
(potentia
ldem
ograph
icmod
erators)
Tovaret
al.[27],
Appetite/2016/RI/
Observatio
nalstudy
N�48
FCCHs;214
observed
mealsandsnack
times;2
27child
-provider
interactions
captured
Provider
Race/ethnicity:
75%
African-A
merican
19%
white
Gender:100%
female
Levelo
fedu
catio
n:57%HSor
associates,40%
Bachelors
BMI:
77%
obese
18%
overweigh
tChildren
BMI
67%
norm
alweigh
t13%
overweigh
t20%
obese
Mod
ified
EPAO
Onlyplated
mealsserved
Respo
nseto
verbalrefuseso
ffood
55%
best
feedingpractices
inrespon
seto
verbal
refuses
45%
coercive
controlling
practices
Respo
nseto
nonv
erba
lrefusesof
food
both
best
practices
andcoercive
controlling
practices
equally
Respo
nseto
verbal
andno
n-verbal
acceptan
ceof
food
reactedto
food
acceptance
with
autono
mysupp
ortiv
epractices>coercive
controlling
practices
(43
versus
5interactions)
Respo
nseforsecond
s85%
respon
dedwith
coercive
controlling
practices,esp.
during
lunch
pressuredchild
rento
clean
theirp
latesfi
rsttogetsecon
dsof
certainfood
ssomesim
ply
complied/off
ered
bribes
Being“alldo
ne”
respon
dedequally
with
coercive
andbest
practices
Pressuring
child
rento
eat
morefrequently
observed
Attem
ptsforpraise
orattentionfrequently
praised
fortrying
new
food
sand
eatin
gcertainfood
s
Troste
tal.[30],
American
Journa
lof
Preventiv
eMedicine/2011/K
S/cross-sectionalsurvey
N�297FC
CHs;85.3%
CACFP
participation
Provider
Levelo
fedu
catio
n:40.8%
HSdiplom
aor
GED
,42.9%
somecollege
orAssociate’s,
14.3%
Bachelor
degree
d NAPS
ACC
M(sd)
Nutritio
npo
licy2.41±0.5
Menus
andvariety
2.50±0.6
Nutritio
neducation
2.60±0.7
Food
sserved
Fruits
and
vegetables
3.20±0.4
Friedfood
sand
high
-fat
meats
3.10±0.3
Beverages2.90±0.5
Mealsandsnacks
3.70±0.3
Food
sou
tsideof
regularmealsand
snacks
2.00±0.7
Supp
ortin
ghealthy
eatin
g3.00±0.5
6 Journal of Obesity
Tabl
e1:
Con
tinued.
Cita
tion/year/
state/metho
dSampledescription
Datasource/
measures
Policyenvironm
ent
Physical
environm
ent
Sociocultural
environm
ent
EBRB
sCovariatesin
analyses
(potentia
ldem
ograph
icmod
erators)
Troste
tal.[29],
American
Journa
lof
Preventiv
eMedicine/2009/K
S/cross-sectionalsurvey
N�297FC
CHs
NAPS
ACC
Writte
nguidelines
concerning
type
offood
sbrou
ghtfor
celebrations
18.6%
(95%
CI:13.7,
23.4)
comprehensiv
ewritte
npo
licyon
nutrition
andfood
services
53.7%
(95%
CI:47.6,5
9.7)
Received
nutrition
training≥1
x/yr
47.5%
(95%
CI:41.2,5
3.8)
offered
nutrition
educationforc
hildren
46.9%
(95%
CI:40.6,
53.2)
offered
nutrition
educationto
parents
45.3%
(95%
CI:39.1,
51.5)
Family-style
meals23%
(95%
CI:17.7,2
8.4)
Served
lean
meats
>4x/wk41.7%
(95%
CI:35.4,4
8)served
100%
fruit
juice>1
x/day55.8%
(95%
CI:49.6,6
2)Served
1%milk
13.9%
(95%
CI9.7,
18.1)
Infrequent
useof
healthyfood
sfor
celebrations
43.9%
(95%
CI:37.6,5
0.2)
Physical
activ
ity
Liuet
al.[19],
Materna
land
Child
Health
Journa
l/2016/OH/
cross-sectionalsurvey
N�44%
FCCHs;56%
centers
Mod
ified
NAPS
ACC
andEP
AO
FCCH
s>Ce
nters
preschoo
lers
engagedin
60min
ofadult-ledph
ysical
activ
ity/day
(33
versus
18%,
p�0.02)
requ
ired
training
onho
wto
helpchild
ren
beph
ysically
activ
e(78versus
56%,
p�0.002).
Natalee
tal.[20],Early
Child
hood
Education
Journa
l/2014/FL
/cross-sectionalsurvey
ofbaselin
edata
N�298FC
CHs;842
center-based
child
care
Provider/hom
eb,c SES
:Facilities’zip
code
�18.1%>40%
ofho
useholdincome<2
5KChildren
Race/ethnicity:
Enrollm
ent:
8.3%
FCCHs
predom
inantly
black
45.8%
FCCHs
predom
inantly
Hisp
anic
e PAFQ
FCCH
s<Ce
nters
provided
outsidePA
for30
min+/3x/wk.
(92.9%
versus
96.5%,p
�0.022)
ratedexcellent
inam
ount
oflim
iting
TV/video
(39.2%
,59.5
%,p<0.001)
FCCH
s>Ce
nters
repo
rted
high
erlevelsof
limiting
compu
tertim
e(63.9
versus
51.8%,
p�0.003)
Incomezone
ofFa
cility
Adjustin
gforincome
zone:sig.D
ifferences
remainedb/tindo
orph
ysicalactiv
ity,o
utdo
orph
ysical
activ
ity,and
televisio
n-usepractices
(p≤0.05)
Journal of Obesity 7
Tabl
e1:
Con
tinued.
Cita
tion/year/
state/metho
dSampledescription
Datasource/
measures
Policyenvironm
ent
Physical
environm
ent
Sociocultural
environm
ent
EBRB
sCovariatesin
analyses
(potentia
ldem
ograph
icmod
erators)
Rice
andTrost[21],
Journa
lofN
utrition
Educationan
dBeha
vior/2014/
OR/
accelerometer
readings
N�47
FCCHs,114
child
ren(60bo
ys,5
4girls),70%
CACFP
Provider
Age:
2%less
than
30,4
4%30–3
9,54%
greaterthan
40Provider
race
90%
white,M
eanyrs.of
operation:
10(IQR5–15)
Levelo
fedu
catio
n66%
HSdiplom
aor
GED
,20%
somecollege
orassociatedegree,1
5%Ba
chelor’sdegree
Children
Avg.B
MI
16.8±202%
overweighto
robese:
29%
ActiGraph
GT1
Maccelerometer
Avg.participationin
MVPA
andtotalP
A5.8±3.2and10.4±
4.4min/h,
respectiv
ely
BMI
overweigh
tand
obese
4-5yr
olds<healthy
4-5yr
olds
MVPA
andTP
A(p<0.5)
Gen
der
Girls<bo
ysexhibited
MVPA
andTP
A(p<0.5)
Tand
onet
al.[26],
Journa
lofN
utrition
Educationan
dBeha
vior/2012/FL
,MA,M
I,WA/cross-
sectionalsurveys
N�94
FCCHs;74
center-based
Provider
Levelo
fedu
catio
n:28%
HSgrad,21%
some
college,51%
2or
4year
college
NAPS
ACC
FCCH
s<Ce
nters
varietyof
fixed-play
equipm
ent(76
versus
89%,
χ2�5.3,
p�0.02)
varietyof
portable
play
equipm
ent(86
versus
95%,
χ2�4.4,
p�0.04)
rarely
ornever
show
edTV
(29versus
68%
χ2�25
,p<0.001)
50%
ofpreschoo
lers
inFC
CHs<1
hr/day
outdoo
rplay
time
8 Journal of Obesity
Tabl
e1:
Con
tinued.
Cita
tion/year/
state/metho
dSampledescription
Datasource/
measures
Policyenvironm
ent
Physical
environm
ent
Sociocultural
environm
ent
EBRB
sCovariatesin
analyses
(potentia
ldem
ograph
icmod
erators)
Tand
onet
al.[25],
Academic
Pediatric
s/2012/cross-
sectionala
nalyseson
long
itudinald
ata
N�Overall(1900);
Non
relativ
ein
Child’s
home(n
�150);
Non
relativ
ein
another
home(n
�550)
Provider
(non
relativ
ein
child
’shome,no
nrelative
inan
otherhome)
Race:
85%,8
2%white,6
%,1
3%Black,26%,14%
Hisp
anic
Levelo
feducation
34,3
7%HSor
less
35,4
5%somecollege
26,
14%
college
graduate
6,4%
graduate
degree
ECLS
-B
50%
ofho
me-based
providerstake
the
child
outsidetowalk
orplay≥1
x/day
Non
relativ
esin
home-
based>relativ
esin
homes
Increasedod
dsof
goingou
tsidedaily
forchildren(O
R1.5,
95%
CI1.36–1.64).
Non
relativ
ecare
inanother
home≠
relativ
ecare
Odd
sof
outdoo
rplay
didno
tdiffer
Troste
tal.[30],
American
Journa
lof
Preventiv
eMedicine/2011/K
S/cross-sectionalsurvey
N�297FC
CHs:85.3%
CACFP
participation
Provider
Levelo
fedu
catio
n:40.8%
HSdiplom
aor
GED
,42.9%
somecollege
orAssociate’s,
14.3%
bachelor
degree
NAPS
ACC
M(sd)
PApo
licy
1.6±1.2
Play
environm
ent
3.10±0.6
Physical
activ
ityeducation
2.2±0.9
Supp
ortin
gph
ysical
activ
ity2.40±0.7
Activeplay
and
inactiv
etim
e3.20±
0.4
TVuseandTV
view
ing2.90±0.8
Troste
tal.[29],
American
Journa
lof
Preventiv
eMedicine/2009/K
S/cross-sectionalsurvey
N�297FC
CH
providers
NAPS
ACC
Existence
ofcomprehensiv
ewritte
npo
licyon
PA24.9%
(95%
CI:19.5,3
0.3)
Suita
blespaceindo
ors
whenweather
isbad
17.6%
(95%
CI:12.8,
22.3)
Disp
layedpo
sters,
pictures,o
rbo
oks
abou
tPA
21.9%
(95%
CI:16.5,2
7.2)
Received
training
onPA≥1
x/peryear
46.1%
(95%
CI:39.8,
52.3):
Provided
PAeducationto
parents
30.2%
(95%
CI:24.3,
36)
Restricted
activ
eplay
timefor
misb
ehavior62.7%
(95%
CI:
56.6,6
8.7)
TVturned
onevery
dayforat
leastp
art
oftheday64.6%
(95%
CI:58.7,7
0.5)
55.1%(95%
CI:48.7,
61.4)allowed
child
rento
watch
TV/videos≥1
x/day
a Includedresults
regardingethn
icity
since
agreatp
ercentageof
homes
wereHisp
anic;bsig
nificantly
different
from
center
based;
c FCCHsmorelik
elyto
care
forchild
renenrolledin
federalsub
sidyprograms;
d Scoring
guide:1
�marginally
meetin
gchild
carestandards,2
�meetin
gchild
carestandards,3
�exceedingchild
carestandards,and4
�farexceeding
child
care
standardsa
ndusingbestpractice;
e develop
edbased
onph
ysical
activ
itystandardsfrom
CaringforOur
ChildrenNationalH
ealth
andSafety
Performance
Standards;SC
FQ�Stanford
Child
FeedingQuestionn
aire;H
CFS
Q�HughesCaregiver
FeedingStyles
Questionn
aire;E
PAO
�En
vironm
entandPo
licyAssessm
entandObservatio
n;HSF
FQ�Harvard
ServiceFo
odFrequencyQuestionn
aire;P
AFQ
�Ph
ysical
Activity
FrequencyQuestionn
aire;E
CLS
-B�Ea
rlyChildho
odLo
ngitu
dinalS
tudy-Birth
Coh
ort;FC
CHs�
Family
Child
CareHom
es;N
APS
ACC
�Nutritio
nandPh
ysicalActivity
Self-Assessm
entfor
Child
Care;CACFP
�Child
andAdu
ltCareFo
odProgram;
PA�ph
ysical
activ
ity;M
VPA
�mod
erateto
vigorous
physical
activ
ity;T
PA�totalp
hysic
alactiv
ity;M
�mean;
SD�standard
deviation;
ns�no
tsignificant;mos.�
mon
ths.
Journal of Obesity 9
Tabl
e2:
TPBCon
cepts_Attitudes,subjectiv
eno
rm,p
erceived
behavioral
control,intent
andpractices+kn
owledge.
Cita
tion/year/state/
metho
dSampledescription
Stud
yconcepts
(related
TPB
concepts)andarticle’s
defin
ition
Results
onTP
B-relatedconcepts
Associatio
nbetweenTP
Bconcepts
andchild
care
practices
Covariatesin
analyses
(potentia
ldem
ograph
icmod
erators)
Brann[16],Jou
rnal
ofPediatric
Health
Care/2010/Ono
ndaga
Cou
nty,
central
NY/Cross-sectio
nal
survey
N�123FC
CH
providers
Provider
a Race:
84%
white,1
1%black,
2%hispan
ic,0
.8%
nativ
eAmerican
Age:
45%
20–4
0,50%
41–6
0,5%
greaterthan
60years
Educationlevel:30%
college
graduate
orabove,66%
HS
graduate
orsomecollege,4
%someHS
Avg.B
MI:
27±7.7
Children
Avg.a
ge:
4.5years±
1.5
Avg.h
ousehold
Income:
42%<40K,5
2%40–8
0K,6
%>80K
Perceptio
nsof
child
hood
overweigh
t(subjectiv
enorm):
perceptio
nof
whatis
considered
overweigh
tby
identifying
draw
ings
ofbo
ysandgirls
rang
ingfrom
very
thin
tovery
heavythat
liein
agradient
from
thin
toheavy
Perceivedrespon
sibilityin
child
feeding
(perceived
beha
vioral
control)
Perceptio
nof
child
hood
overweigh
t(sub
jectiveno
rm)
Mostp
roviders
choseafig
urerepresentin
gan
above
average-siz
edbo
yandgirlas
acutoff
pointfor
overweigh
tPe
rceivedrespon
sibilityin
child
feeding
(perceived
beha
vioral
control)
Highlevelo
frespo
nsibility
forfeedingandmon
itoring
Perceptio
nof
child
hood
overweigh
t(sub
jectiveno
rm)
Providerswho
selected
smallers
ilhou
ettesfor
girls
asameasure
foroverweigh
trepo
rted
usingmorefood
restrictionon
girls
(U�257.5,
p�0.10).
Levelo
fEd
ucation
Providerswith
ahigh
erlevelo
fedu
catio
nwere
correlated
with
less
pressuring
ofchild
rento
eatm
orefood
(r�−0
.27,
p<0.01)
Con
cerned
abou
tchild
weigh
tRe
latio
nshipexist
betweenconcernabou
tweigh
tand
restrictionof
unhealthyfood
s(r
�0.27
,p<0.01)
Providersw
hoselected
smallersilho
uette
sfor
girls
weremorelik
elyto
have
moreconcernabou
tthechild
’sweigh
t(U
�235,
p<0.04)
Kim
etal.[32],Materna
lan
dCh
ildHealth
Journa
l/2012/Ea
stCentral
Illinois/Cross-sectio
nal
analysis
N�88
FCCH
providers;94
center-based
providers
Perceptio
ns(perceived
beha
vioral
control)
providers’perceptio
nsof
the
levelo
finfl
uenceon
child
ren’shealthybehaviors
andweigh
tstatus
Providers’perceptio
nsof
thelevelo
finflu
ence
onchild
ren’shealthybeha
viorsan
dweigh
tstatus
(perceived
beha
vioral
control)
Both
thefamily
andcenter-based
providersfeltthatthe
homeenvironm
enthadmoreinflu
ence
onhealthy
eatin
g/PA
habits
andweigh
tstatusof
thechild
ren
(pairedttests,allsignifican
tpvalues)
FCCHs>
centers
rank
edinflu
ence
onhealth
behaviorsandweigh
tstatus
with
theexceptionof
PA.
FCCH
providersfeltthat
homeandcenter-based
facilities
shared
similarinflu
ence
onph
ysical
activ
ityof
the
child
ren.
Levelo
ftraining
results
>55%
ofFC
CH
providers�
obesity
preventio
ntraining
with
inthepast
year,
which
isamarked
difference30%
ofcenter-
basedproviders
(χ2 ,
p�0.0005).
HighlytrainedFC
CH
providersmorelik
elyto
receivenu
trition
andPA
training
(χ2 ,
p�0.0009
,0.0024
respectiv
ely)
HighlytrainedFC
CH
providersmorelik
elyto
dissem
inatehealthy
nutrition
andPA
inform
ationto
child
ren
(PA
andob
esity
preventio
ninform
ation
toparents(allsig
nifican
tpvalues)
10 Journal of Obesity
Tabl
e2:
Con
tinued.
Cita
tion/year/state/
metho
dSampledescription
Stud
yconcepts
(related
TPB
concepts)andarticle’s
defin
ition
Results
onTP
B-relatedconcepts
Associatio
nbetweenTP
Bconcepts
andchild
care
practices
Covariatesin
analyses
(potentia
ldem
ograph
icmod
erators)
Lind
sayetal.[18],Journa
lof Obesity/2015/M
A/Focus
grou
ps
N�44
Latin
oFC
CH
providers;4focusgrou
psPr
ovider
Ethn
icity
100%
Latin
oEd
ucationlevel
−1/3
HSgraduate
orGED
,40%
somecollege
Yearsof
experie
nce
93%
upto
25yearsof
child
care
experience
Provider’sperceptio
ns,
attitud
esan
dpractic
esrelatedto
nutrition
and
physical
activ
ity(attitudes)
perceptio
nsof
theCACFP
andEE
C(attitudes)
attitud
esrelatedto
commun
icationwith
parents
(sub
jectiveno
rm)
perceptio
nof
child
weigh
tstatus
ofkids
incare
ofproviders
(sub
jectiveno
rm)
beliefsabou
tphysic
alactiv
ityandsedentarybehaviors
(perceived
beha
vioral
control)
provider
controlo
nwhata
ndho
wmuchchild
reneat
(perceived
beha
vioral
control)
perceivedbarriers
toPA
and
healthyeatin
g(perceived
beha
vioral
control)
provider’sbeliefrelated
totheirrole
(perceived
beha
vioral
control)
perceivedbarriers
toprovision
ofhealthyfood
s(BehavioralIntent)
Strategies
toincorporate
nutritiou
sfood
s
Attitu
destowards
CACFP
andEE
C(attitudes)
CACFP
policieshelpfula
ndmadeadifferencein
the
health
ofchild
ren.
Attitu
desrelatedto
commun
icationwith
parents
(attitudes)
commun
icationwith
parentsim
portantandcriticalin
understand
ingchild
’swell-b
eing
atho
me
didno
tfeel
comfortable
discussin
gchild
ren’sweigh
tstatus
with
parents.
Perceptio
nsof
child
weigh
tstatus
(sub
jectiveno
rm)
Fewprovidersrepo
rted
having
somechild
renat
risk
foroverweigh
torob
esity
Mostreportedthat
they
didno
thavemajor
concerns
abou
tweigh
tstatusof
child
rencurrently
undertheir
care.
Belie
fsab
outPA
andsedentarybeha
vior
(sub
jective
norm
)Mostb
elievedtheim
portance
forchild
rento
engage
inPA
througho
uttheday.How
ever,the
amou
ntof
time
providersbelievedchild
renshou
ldengage
inPA
varied
(from
30minutes
to2ho
urs)
Food
sserved
andpo
rtionsizes(perceived
beha
vioral
control)
perceive
parentsto
beabarrierto
healthyeatin
gin
FCCH
Belie
fsrelatedto
child
feeding(perceived
beha
vioral
control)
Perceivedrole
isto
nurtureandeducatechild
ren
Mostfeel
confi
dent
intheabilitiesto
servehealthy
food
sPe
rceptio
non
need
tocontrolfeeding
(perceived
beha
vioral
control)
Feltneed
tocontrolw
hata
ndho
wmuchchild
reneat
Perceivedba
rriers
toPA
(perceived
beha
vioral
control)
Mostb
elievedlack
ofspacea
ndcoldwhetherto
bemajor
obstaclesforPA
oppo
rtun
ities
Perceivedba
rriers
toprovisionof
healthyfood
s(perceived
beha
vioral
control)
Perceivedhigh
costof
freshfruitsandvegetables
does
note
nablethem
topu
rchase
andprovidethesefood
s.Perceivedthat
theCACFP
does
notp
ayenou
ghfor
purchase
offreshfruits
andvegetables
Strategies
toincorporatenu
trition
food
s(behavioral
intent)
Encouragingnew
food
sMealp
lann
ing
Participatingin
worksho
ps
Attitu
desrelatedto
commun
icationwith
parentsan
dcommun
icating
weigh
tconcerns
topa
rents
(attitudes)
Providersw
horepo
rted
being
uncomfortable
andreluctant
todiscusschild’sweigh
tfelt
that
parentscanbe
very
sensitive
tootherpeop
le’s
perceptio
nsof
theirchild
ren,
andbecauseof
that
they
preferredno
tto
talk
abou
tit
with
parents.
Food
sserved
andpo
rtion
sizes(sub
jectiveno
rm)
Providersrepo
rtserving
food
salignedwith
recommendatio
nsfrom
USD
AManyprovidersbase
portionsiz
eson
ageof
child
Perceptio
nsof
child
weigh
tstatus
anddeterm
ining
portionsizes(sub
jective
norm
)Few
providersrepo
rted
having
somechild
renat
risk
foroverweigh
torob
esity
and
that
thisinflu
encedtheir
feedingpractices,especially
indeterm
iningpo
rtionsiz
es
Providers’placeof
birth
Providerswho
had
form
ativey
earsou
tsideo
fUS,
inwarmer
clim
ates,
perceivedwinteras
abarriertoPA
morethan
US-bo
rnproviders
Journal of Obesity 11
Tabl
e2:
Con
tinued.
Cita
tion/year/state/
metho
dSampledescription
Stud
yconcepts
(related
TPB
concepts)andarticle’s
defin
ition
Results
onTP
B-relatedconcepts
Associatio
nbetweenTP
Bconcepts
andchild
care
practices
Covariatesin
analyses
(potentia
ldem
ograph
icmod
erators)
Rosenthale
tal.[24],
Journa
lofN
utrition
Educationan
dBeha
vior/2013/CT/in-
depthinterviews
N�17
FCCH
providers
Provider
Race/ethnicity
29%
African
American,5
3%white,2
4%Latin
aMeanage
43yrs
(31–
54)
Meanyrsw
orking
inchild
care
13(5–3
2)Hou
sehold
income
less
than
50K
(47%
),50–7
5K(29%
),75–100K
(18%
),more
than
100K
(6%)
Attitu
destowards
parents
(attitudes)
Perceivedrole
inob
esity
preven
tion(perceived
beha
vioral
control)
Strategies
used
toim
plem
entbest
practic
esin
nutrition
andPA
(behavioral
intent)
Attitu
destowards
parents(attitudes)
expressedbo
them
pathyandfrustrationwith
parents.
Perceivedrole
inob
esity
Preven
tion
(perceived
beha
vioral
control)
perceivedthey
hadaperson
alrespon
sibility
inob
esity
preventio
n.Disc
ussedtheimpo
rtance
oftheirroleinsharinghealthy
food
swith
parents.
ackn
owledged
thesupp
ortiv
erole
offood
guidelines,
unanno
uncedinspectio
nsfrom
thegovernment
spon
soredfood
program,and
thepeer
grou
p.
Strategies
used
toim
plem
entbest
practic
esin
nutrition
andPA
(behavioral
intent)
describedho
w,a
tthe
first
meetin
gwith
parents,they
try
tobe
clearw
ithparentsa
bout
food
guidelines.
Someh
avew
ritte
nrulesabo
utfood
guidelines
andall
describedhaving
aconv
ersatio
nwith
families
abou
tfoo
dguidelines.
describedusingtheirow
nkn
owledgeof
child
developm
entto
improve
nutrition
alintake
and
incorporatingdram
atic
play
tofacilitatetim
esof
high
PAdescribedho
wthey
incorporateanotheraspect
ofchild
developm
ent,
socialization,
toim
prove
achild
’snu
trition
.describedho
wthey
use
dram
aticplay
tofacilitatePA
describedsharingwith
parentsbo
ththeactual
food
andthetechn
iquestheyuseto
encouragechild
rento
eat
nutritiou
slydidno
tpressurekids
toeat
butw
erestill
concernedso
helped
thechild
toeat
12 Journal of Obesity
Tabl
e2:
Con
tinued.
Cita
tion/year/state/
metho
dSampledescription
Stud
yconcepts
(related
TPB
concepts)andarticle’s
defin
ition
Results
onTP
B-relatedconcepts
Associatio
nbetweenTP
Bconcepts
andchild
care
practices
Covariatesin
analyses
(potentia
ldem
ograph
icmod
erators)
Tovaret
al.[28],
Child
hood
Obesity/2015/RI/Fo
cus
grou
ps
N�30
FCCH
providers;4
focusgrou
psPr
ovider
Race/ethnicity
100%
female,Hisp
anic
(predo
minantly
Dom
inican,
77%),andSpanish
speaking
Levelo
fedu
catio
n50%
�somecollege+
Meanage
50years
Perceptio
nson
useof
TV
(sub
jectiveno
rm)
Perceptio
nsan
dbelie
fsregardingwhich
factors
influ
ence
child
ren’sPA
,screen
timeanddietary
behaviors(perceived
beha
vioral
control)
Perceivedstrategies
toim
provethenu
trition
and
PAen
vironm
entof
FCCHs
(behavioralintentio
n)
Provider
perceptio
nson
screen
timebeha
viors
(sub
jectiveno
rm)
Screen
timeshou
ldbe
limitedandrulesshou
ldbe
inplaceto
stop
parentsfrom
leavingchild
renat
FCCH
with
electron
icdevices
Perceivedwatchingeducationalp
rogram
ssuch
asDoratheEx
plorer
learning
andno
tscreen
time
Use
ofTV
forfood
prep
Othersfeltthat
watchingTV
didno
tbenefit
child
Provider’sperceptio
nson
how
preschoo
l-aged
child
rencanbe
physically
activ
e(perceived
beha
vioral
control)
Perceivedthat
child
renhave
manyop
portun
ities
toengage
inPA
intheho
me
Perceivedthat
child
renaremoreactiv
ewhenou
tside
Perceivedthat
thereareop
portun
ities
indo
orbu
tneedsto
beschedu
ledinto
theprovider’sday
Influ
enceso
nwha
tand
howprovidersfeedor
offer
PAop
portun
ities
forpreschoo
l-agedchild
ren(perceived
beha
vioral
control)
Perceivedrespon
sibility
toprovidechild
renwith
nutritiou
sfood
sPerceivedneed
toabideby
program
regulatio
ns,
thou
ghsomedeem
regulatio
nsas
contribu
tingto
added
stress
Culture
influ
encedfood
sserved
Poor
parental
behavior
influ
encesthechild
care
environm
ent
Providersp
erceiveparents’po
orbeliefsregardingPA
tobe
amajor
barrierto
PAin
theFC
CH.
Providersperceive
child
ren’svaryingpreferencesto
beabarrierto
grou
pPA
Fear
ofchild
rengetting
hurt
inho
melim
itsPA
inho
me
Winterweather
Provider
perceived50Fto
betoocold
totake
child
ren
outside
Perceivedstrategies
toim
provethenu
trition
andPA
environm
entof
FCCHs(behavioralintent)
Moreprob
lem-based
solutio
nsoriented
training
s,programsandresources
Increasedreim
bursem
entfor
purchase
offruits
and
vegetables
Improvecommun
icationwith
parentsregarding
prop
ernu
trition
andPA
practices
Training
andfeeding
practic
esOfte
ndiscon
nect
between
providersbeliefo
nthe
impo
rtance
ofhealthyfood
sandwhattheyactually
serve
PerceivedtheCACFP
program
tohelp
enhance
know
ledgeon
nutrition
food
s,yets
omestill
dono
tfollo
wnu
trition
guidelines
ofthefood
program
dueto
cultu
ralfeeding
practices
Providersreliedon
child
’sageandph
ysical
statureto
determ
inepo
rtionsiz
einsteadof
relyingon
age-
approp
riateguidelines
for
portionsiz
esDue
totraining
,providers
appreciatedtheimpo
rtance
ofno
tforcefeedingandbeing
arole
mod
eldu
ring
feeding
mealtimes
Journal of Obesity 13
Tabl
e2:
Con
tinued.
Cita
tion/year/state/
metho
dSampledescription
Stud
yconcepts
(related
TPB
concepts)andarticle’s
defin
ition
Results
onTP
B-relatedconcepts
Associatio
nbetweenTP
Bconcepts
andchild
care
practices
Covariatesin
analyses
(potentia
ldem
ograph
icmod
erators)
Vincietal.[33],Journa
lof
Obesity/2016/FL/Fo
cus
grou
ps
N�27
FCCHs(75.9%
ofsampleof
child
care
providers)
Subjectiv
ebelie
fsof
wha
tis
needed
toen
sure
PAin
homes
(perceived
beha
vioral
control)
Subjectiv
ebelie
fsof
wha
tis
needed
toen
sure
PAin
homes
(perceived
beha
vioral
control)
additio
nalspecific
factorsthatw
ereno
traisedby
center
staff
includ
ingtheneed
fora
ctivities
thatcanbe
adapted
forawiderang
eof
ages.
Hom
eproviderscautionedagainstp
roviding
PAthat
requ
ired
extensivespaceor
equipm
ent,sin
cespace
islim
itedin
FCCHs.
Van
Stan
etal.[31],
Child
hood
Obesity/2013/D
E/survey
N�62%
FCCHs;
5%center
owner;84%
CACFP
Kno
wledg
eof
nutrition
and
PArules
FCCHs>
Centerstaff
Kno
wledgeof
DE’snu
trition
andPA
rules
(14.7versus
18ou
tof2
6,p<0.001)
a Miss
ingdataforfi
veproviders;FC
CH
�Family
Child
CareHom
es;E
EC�Ea
rlyEd
ucationandCare;BM
I�bo
dymassind
ex;P
A�ph
ysicalactiv
ity;M
VPA
�mod
erateto
vigorous
physicalactiv
ity;T
PA�total
physical
activ
ity;U
�Mann–
Whitney
test.
14 Journal of Obesity
[19, 20, 26, 29, 30]. Four studies focused only on the nu-trition environment [22, 23, 27, 31] while two focused solelyon the physical activity environment [21, 25]. Six studiesexamined TPB related beliefs [16, 18, 24, 28, 32, 33]. Four ofthese studies used qualitative methods such as focus groups[18, 28, 33] and in-depth interviews [24]. Five studies includedFCCHs participating in CACFP, [21–23, 30, 31] with 3 studieshaving majority (∼80%) CACFP FCCHs [21, 30, 31]. Of thestudies that reported the race or ethnicity of the providers orthe children, 50% (4/8) reported having majority Hispanicproviders and/or children [17, 18, 20, 28]. ,ree studies hadmajority white providers [16, 21, 24], and one study involvedproviders who were majority African American [27]. Of thestudies that reported educational level, all (7/7) reported thatthe majority of providers had a high school degree or GED orsome college [16, 18, 21, 25, 26, 30]. Two studies reportedproviders’ weight status; most were overweight or obese[16, 27]. Two studies reported children’s weight status; mostwere of normal weight with 20–30% obese [21, 27].
3.3. Policy Environment. FCCH providers have the oppor-tunity to have written nutrition and physical activity policies.,ree studies found that few FCCH providers had compre-hensive written policies on nutrition and physical activity[19, 29, 30]. Compared to center-based child care facilities, fewFCCH providers had written policies regarding best practicesrelated to beverages, the use of food as reward or punishment,and encouragement for consumption of healthy foods [19].Trost et al. showed that fewer than 20% of FCCHproviders hadpolicies regarding best practices related to foods purchased forcelebratory events [29]. Additionally, only about 25% of FCCHproviders had written physical activity policies [29, 30].
3.4.PhysicalEnvironment. Seven studies assessed the physicalenvironment in FCCHs [20, 22, 23, 25, 27, 29, 30]. Althoughmore FCCH providers provided nutrition education to chil-dren, compared to center-based providers (44 versus 27%,p � 0.01), [19, 20], few FCCH providers used books or gameswith nutrition themes in their delivery of nutrition education[29]. No FCCH providers reported using a dietitian to plantheir menus, [22] and 44.8% of FCCH providers made waterreadily accessible indoors and outdoors, compared to 73.1% ofcenters [23]. Less than half of FCCH providers received ad-equate nutrition and physical activity training one or moretimes a year [29]. Also, the FCCH’s physical activity envi-ronment was shown to be suboptimal for indoor and outdoorplaytime [25, 29]. For example, Tandon et al. found that 76%FCCHs had a variety of fixed play and 86% portable playequipment when compared to center-based centers, 89% and95%, respectively [25]. Additionally, 71% of FCCHs relied ontelevision for part ormost of the day [25]. Finally, about 22% ofFCCH providers had physical activity displays such as posters,pictures, or books about physical activity [29].
3.5. Sociocultural Environment. Only three studies exam-ined the sociocultural environment in the FCCH setting[17, 27, 29]. An observational study conducted in Rhode
Island showed that FCCH providers frequently praised thechildren for trying new foods and eating healthy foods.However, in response to children’s mealtime behaviors,providers used both best practices and coercive controllingpractices (i.e., insistence, pressuring, and threats) whenresponding to children’s verbal and nonverbal refusals offood, and the verbal and nonverbal acceptance of food [27].In 85 of the interactions observed related to the providers’response for seconds, providers responded with coercivecontrolling practices, especially during lunch times [27].Providers also pressured their children to “clean their plates”before offering seconds of certain foods [27]. Trost et al.showed that only 27% of FCCH providers provided family-style meals [29]. Additionally, 62.7% of FCCH providersrestricted play time for misbehavior [29].
3.6. ?eory of Planned Behavior (TBP) Concepts. ,ere wereseven articles that addressed beliefs related to knowledge,attitudes, subjective norms, perceived behavioral control,and behavioral intent [16, 18, 24, 28, 31–33]. ,e beliefsdescribed in the articles were closely matched with therelevant TPB concepts. ,e matching of concepts was doneby carefully reviewing the definitions of the concepts pro-vided in the articles and how they were measured andmatching the terms to the TPB-related concepts. Results aresummarized in Table 2.
3.6.1. Attitudes. Overall, two studies showed that there werepoor attitudes among providers regarding parents andparents’ role in fostering a healthy environment in theFCCH setting [18, 24]. For example, some providers believedthat although communication with parents is important toget a better understanding of the child’s well-being at home,they felt frustrated and reluctant to discuss a child’s weightstatus with parents for fear of offending parents [18]. FCCHproviders felt that the nutrition-related CACFP policies werehelpful and made a difference in the health of the childrenattending the FCCHs [18].
3.6.2. Subjective Norm. ,ree studies addressed subjectivenorms [16, 18, 28]. ,ere were inconsistent perceptions ofwhat was considered normal weight among FCCH providers[16, 18]. Lindsay et al. showed that despite Hispanic childrenbeing disproportionately overweight or obese, HispanicFCCH providers reported having few children at risk foroverweight or obesity or showed no concern about theweight status of the children under their care [18]. ,esebeliefs, in turn, influenced their belief that portion sizesshould be based on age and not on weight [18]. Providers,mostly white, who were presented with drawings of boys andgirls of differing sizes, selected smaller sized drawings forgirls as a measure for overweight, as compared to thedrawing of boys [16]. ,ese providers reported using morefood restriction with girls in the FCCH, than with boys(U � 257.5, p � 0.10) [16]. On the topic of physical activity,most providers believed in the importance of daily physicalactivity in FCCHs [18]; however, the amount of time
Journal of Obesity 15
providers believed that children should engage in physicalactivity varied [18]. Additionally, Hispanic providers be-lieved that 50 degrees Fahrenheit was too cold for children toplay outside [28]. Although most providers perceived screentime should be limited, focus group discussions pointed tothe perception among Hispanic FCCH providers thatwatching TV was not considered screen time [28].
3.6.3. Perceived Behavioral Control. Perceived behavioralcontrol was assessed in all six articles. Lindsay et al. showedthat most providers were confident in their abilities toprovide a nutritious environment for the children in theircare [18]. Providers believed that they had a high level ofresponsibility to provide a healthy nutritional and physicalactivity environment and that their role was to nurture andeducate the children [16, 18, 24]. Providers also perceivedthat they had control over what and how much children eat[18]. Providers felt that they had more influence than center-based providers on eating habits of children. However,FCCH providers also believed that both the center-basedproviders and FCCH providers have an equal share of in-fluence on physical activity behavior [32]. Providers iden-tified several enablers or barriers to engaging in nutritionand physical activity best practices. Providers believed thatthe high cost of food prevented the purchase of quality freshfruits and vegetables for the children [18]. Lack of space forplay was identified as a major barrier to physical activityengagement [18, 33]. Additionally, the varying needs forphysical activities across ages could be challenging forproviders [28, 33]. Finally, providers perceived poor parentalbeliefs to be an obstacle to ensuring best nutrition andphysical activity practices in the FCCH [18, 28].
3.6.4. Behavioral Intent. ,ree studies addressed providers’perceived strategies to improve the FCCH environment[18, 24, 28]. Strategies mentioned by providers includedencouraging new foods, meal planning, and participatingin workshops [18], problem-based solutions-orientedtrainings, and programs and resources to address chal-lenging feeding behaviors among children [28], increasedreimbursement from CACFP for purchase of nutritiousfoods [28], improving communication with parents re-garding recommended nutrition and physical activitypractices [24, 28], use of dramatic play during active playtime, [24] and having written, comprehensive rules insidethe FCCH [24].
3.6.5. Knowledge. Provider knowledge was addressed inthree of the articles [24, 28, 31]. FCCH providers knew moreof the rules on best nutrition practices than center-basedproviders in the State of Delaware (18 versus 14.7, p< 0.001)[31]. Providers described using their own knowledge onchild development to improve what was offered to childrenin the FCCH [24]. Finally, providers perceived that theCACFP improved their nutrition knowledge [28]; however,this improved knowledge did not help in engaging in bestfeeding practices due to cultural feeding practices [28].
3.7. Covariates Included Analyses (Potential DemographicModerators). Although not directly tested for their mod-eration effects, this review suggests that there are certainneighborhood, FCCH/facility level, provider, and child-levelcharacteristics that may confound relationships between theenvironment and EBRBs within the FCCH context.
3.7.1. Neighborhood: Income Zone of Neighborhood. Whenadjusting for the income zone of the neighborhood in whichcenters and FCCHs are located, indoor and outdoor physicalactivity and television-use practices remained significantlydifferent between FCCHs and centers, with fewer FCCHproviders providing best practices in these areas (p≤ 0.05)[20]. For nutritional practices, however, the differencesbetween FCCHs’ and centers’ nutritional practices were nolonger significant when adjusting for the income zone of theneighborhood of the facilities (p � 0.05) [20].
3.7.2. FCCH/Facility Level. Four studies reported the numberof CACFP-participating FCCHs included in the study sample[22, 23, 30, 31]. Ritchie et al. was the only study that examinedthe differences in environment between CACFP and non-CACFP homes [22]. CACFP and non-CACFP FCCHs weresignificantly more likely to serve whole milk than centers(p< 0.001). More non-CACFP homes served candy andsweetened beverages compared to all other types of child caresettings including CACFP homes (15.8% non-CACFP homesversus 6.2% CACFP Homes, p< 0.001; 18.4% non-CACFPversus 7.7% CACFP homes, p< 0.001) [22].
3.7.3. Provider Level. Hispanic providers were more likely toengage in authoritarian and controlling feeding practices.Freedman et al. found that compared to White and Asianproviders, Hispanic providers (representing 76% of studypopulation) were more likely to force children to eat what theproviders perceived to be good for them (χ2 � 7.25, p< 0.05),to insist that the children clean their plates before leaving thetable, and to not allow children to eat less than they thoughtthey should and were least likely to sit at the table and eatmeals with the children (χ2 � 3.04, p< 0.05) [17]. Hispanicproviders were also three times more likely to cook foods thatthey knew children liked compared to Asian and Whiteproviders (χ2 � 1.96, p< 0.001) [17]. Brann et al. demon-strated that FCCH providers (84% White) who selectedsmaller silhouettes for girls as overweight were more likely tohave concern about the children’s weight, as compared toproviders who chose larger silhouettes as representing over-weight (U � 235, p< 0.04) [16]. Additionally, providers withhigher education had fewer instances of pressuring of childrento eat (r � −0.27, p< 0.01) [16]. Kim et al. demonstrated thathighly trained FCCH providers were more likely to dissem-inate healthy nutrition information to children and obesityprevention information to parents [32].
Hispanic providers who spent their formative years inwarmer climates outside the US perceived winter as a barrierto physical activity engagement more than US-born His-panic providers [18].
16 Journal of Obesity
3.7.4. Child Level. Among 4- and 5-year-olds, overweightand obese children exhibited lower levels of moderate tovigorous physical activity and total physical activity thanhealthy weight 4- and 5-year-olds (p< 0.5). Relative to boys,girls exhibited lower levels of moderate to vigorous and totalphysical activity during the day (p< 0.5) [21].
3.8. Energy Balance-Related Behaviors (EBRBs). FCCHproviders reported offering more fresh fruit and vegetablesthan center-based child care providers (80.3% versus 51.2%,p< 0.001) and more frequently limiting rolls and breadcompared to center-based child care providers (28.1 versus18.6%, p � 0.001) [20]. However, Trost et al. showed thatonly 41.7% of FCCH providers served lean meats more thanfour times per week and less than half of the providersreported serving healthy foods for celebratory events [29]. Inthe study by Liu et al., fewer FCCH providers reported notoffering fried foods compared to center-based providers(38% versus 59%, p � 0.001) [19].
Although FCCH providers reported following bestpractice recommendations for serving water at least dailyand limiting sweetened beverages, 55.8% of the FCCHproviders offered 100% juice 3-4 times weekly in Tandonet al. and 66% of FCCH providers in Trost et al. [26, 29].Additionally, only 13.9% of FCCH providers offered 1%milkmore than once daily [29]. Natale et al. showed that whencompared to center-based child care, fewer FCCH providersprovided 1% milk more than once daily (45.2 versus 55%,p � 0.015) [20].
When compared to center-based child care, fewerFCCHs provided outside physical activity for 30min ormore three times a week (92.9% versus 96.5%, p � 0.022)[20]. Children in FCCHs spent on average 5.8min/hour ofmoderate to vigorous physical activity and 10.4min/hour oftotal physical activity [21]. Although a higher portion of FCCHproviders reported preschoolers engaged in 60min of adult-led play time compared to center-based child care (33 versus18%,p � 0.02), only a third of FCCHproviders engaged youngchildren in an hour of playtime [19]. Seventy-eight percent ofproviders reported that they needed training on how to helpchildren be physically active [19].
Nearly 65% of providers had the TV turned on every dayfor at least part of the day, and 55.1% of providers allowedchildren to watch TV or video at least once a day [29]. Nataleet al. showed that more FCCH providers reported higherlevels of limiting computer time than center-based child careproviders (63.9 FCCH versus 51.8% centers, p � 0.003);however, fewer FCCH providers rated excellent in limitingTV or video (39.2%, 59.5%, p< 0.001) [20].
4. Discussion
Research on obesity prevention involving FCCHs is accel-erating, illustrating that a review on the obesity promotingattributes of the FCCH environment can identify priorityareas for intervention development unique to the FCCHsetting. With the guidance of an innovative framework, thisliterature review examined the obesogenic attributes of the
FCCH policy, physical, and sociocultural environment. ,eexamination of the policy environment revealed that therewas lack of comprehensive written nutrition and physicalactivity policies within FCCHs. FCCHs are generally lessregulated than center-based child care and are not mandatedto have written nutrition and physical activity policies inplace. Nonetheless, encouraging FCCHs to provide writtennutrition and physical activity policies would provideguidance for engaging in nutrition and physical activity bestpractices. Children in many FCCHs have few opportunitiesto engage in quality physical activity due to inadequatespaces for physical activity and high television use. ManyFCCH providers are also inadequately trained in nutritionand physical activity and seldom provide nutrition in-formation to parents. ,ere is limited research on the as-sessment of the sociocultural environment in FCCHs withrespect to obesity and obesity prevention. In this review,there is some evidence that FCCH providers engage incontrolling feeding practices and restrict physical activity asa punitive strategy for misbehavior. Since controlling andrestrictive feeding styles are associated with overeating inyoung children, interventions aimed at reducing theseobesogenic interactions are warranted [34].
,e EnRG framework postulates that the environmentcan have an effect on EBRB through the mediating role ofcertain cognitive factors; the TPB concepts. In this review,six articles explored FCCH providers’ attitudes, normativebeliefs, and control beliefs as they pertain to the FCCHenvironment and obesity. Although mediation was notexamined, the evidence suggests that providers’ attitudesand beliefs influence their feeding and physical activitypractices as well as family communication practices. Furtherunderstanding of these concepts as they relate to the FCCHenvironment would be instrumental in developing trainingstrategies that can eliminate misconceptions and in-appropriate beliefs about nutrition and physical activitypractices and enhance self-efficacy, which would help withbetter communication with families concerning children’seating behaviors. Partnering with families is likely to beeffective since families engage with child care providers dailyand often share information on the child’s daily activities.
We abstracted information on the covariates that werecollected and/or included in the analyses. Although thecovariates were not tested for moderation, the evidencesuggests that many of the covariates may function as po-tential demographic moderators that should be tested infuture research. Within the EnRG framework, demographicmoderators may confound relations between the mediatedenvironment and EBRBs or relations between the un-mediated and automatic-lack of awareness or control-environment and EBRBs.
Although most studies did not examine neighborhooddifferences, one study adjusted for neighborhood charac-teristics in comparing FCCH with child care centers [20].,e finding that nutrition-related FCCH/center differenceswere eliminated after neighborhood adjustment suggeststhat FCCH and center nutritional practices may be related toneighborhood conditions, such as food availability. Incontrast, that finding that neighborhood adjustment did not
Journal of Obesity 17
alter that finding that FCCHs had worse physical activitypractices than center-based child care suggests that FCCH/center differences may be more closely related to physicalactivity resource and practice differences within the sites,rather than the neighborhoods.
Only one study examined the differences in the foodenvironment by CACFP status [22]. ,e finding that non-CACFP homes served candy and sweetened beverages moreoften than CACFP homes is consistent with a study thatshowed that compared to non-CACFP providers, moreCACFP providers engaged in best nutrition practices [35].Since thirty percent of US children are enrolled in CACFP-participating FCCHs, more research is needed to examinethe impact that CACFP is making on the food environmentand feeding practices in FCCHs especially since the in-troduction of new CACFP guidelines on October 1, 2017, toincrease the consumption of fruits and vegetables and reducegrain-based deserts, such as donuts and pastries [36].
On the provider and child-level, FCCH interventions areneeded to address Hispanic providers’ propensity to usecontrolling and coercive feeding practices, along with theirinaccurate beliefs concerning physical activity and TV use.Provider nutrition training was effective in empoweringproviders to disseminate healthy nutrition-related infor-mation to parents and children [32]. Strategies to increasefunding and availability for nutrition training programsfor FCCH providers, through CACFP or independent ofCACFP, could be instrumental in helping to curb obesityamong young children.
Finally, FCCH providers engage in obesogenic EBRBs,providing fried foods, high-fat milk, sweetened beverages, andhaving limited opportunties for play both indoors and out-doors coupled with high TV use. A mixed-methods approachcan help rearchers to understand FCCHproviders’ knowledgein nutrition and physical activity best practices and barriers toproviding an optimal environment for the children in theircare. Developing social marketing campaigns tailored forFCCH providers can be an effective approach to influencebehavior change.
4.1. Limitations and Strengths. ,ere are several limitationsto this review that can affect the generalizability of thefindings. ,e few studies that examined the FCCH envi-ronment were limited to only several states, with no nationalrepresentation.We limited the search to published literature,not grey literature, meaning that unpublished studies orpublished studies in a noncommercial form were excluded.Since most studies did not report the licensure status and thesize of the FCCHs, we were unable to make inferencesconcerning the role of licensure and size on EBRBs. Half ofthe studies that reported race or ethnicity involved majorityHispanic providers and only one study had majority AfricanAmerican providers. Of the studies that examined the policy,physical, and sociocultural environment, only one studyrelied on observations to assess the environment [27]. Moststudies relied on self-report cross-sectional survey data,potentially introducing biases that could be minimized byobjectively observing the FCCH environment. Due to the
studies’ heterogeneity in design, we were unable to evaluatethe quality of the studies using one tool. Finally, none of thestudies examined the food environment in the neighbor-hoods outside of the FCCH. Expanding the child care re-search network to include FCCHs across the US, striving forequal representation in races/ethnicities of FCCH providersand children in their care, addressing neighborhood char-acteristics, including systematic and observational methodsthat examine policies and practices, and examining FCCHsover time, would improve generalizability in the process ofdefining the FCCH environment in the US.
,ere are also multiple strengths to the review. FCCHsare a primary resource for many families and are an idealvenue for the implementation of childhood obesity pre-vention efforts. With strong theoretical guidance, we are ableto show that making changes in the policy, physical, andsociocultural environment of FCCHs can provide optimalenvironments for young children. Enhancing nutritiontraining for providers and promoting healthy mealtimeinteractions may improve children’s dietary environment.Lastly, we show the need for more studies to understand theimpact CACFP has on the food environment of FCCHs.
5. Conclusion
In conclusion, this review of the obesogenic attributes ofthe Family Child Care Home highlights the priority areasin which to intervene within the FCCH environment.Interventions addressing child care policies and practicesregarding what food is served, how food is served, oppor-tunities provided to young children for physical activity, andthe quality of space available within FCCHs, are essential.With better opportunities for FCCH providers to be trainedin childhood obesity prevention and in best practices innutrition and physical activity, providers can be proactivein implementing written nutrition and physical activitypolicies. FCCH providers would benefit from innovativestrategies to implement physical activity and minimizescreen time, given space limitations. Finally, addressingmisconceptions and inappropriate attitudes and beliefs re-lated to food and physical activity can benefit the health ofthe FCCH environment. Ensuring that all child care optionsfor young children, including FCCHs, including the policies,practices, and resources to help children build healthynutrition and physical activity habits, can be instrumental inpreventing overweight and obesity.
Conflicts of Interest
,e authors have no conflicts of interest to declare.
Authors’ Contributions
All authors contributed to the design of the review. LucineFrancis and Lara Shodeinde conducted the article screening.Lucine Francis drafted the manuscript. Jerilyn Allen andMaureen M. Black critically reviewed the manuscript. Allauthors read and approved the final manuscript.
18 Journal of Obesity
Acknowledgments
,e authors thank Stella Seal, Johns Hopkins informationist,for assisting with identifying key search terms and conductingthe database searches. ,is work was supported by the Na-tional Institutes of Health (NIH/NINR F31 NR015399), RuthL. Kirschstein National Research Service Award (NIH/NINRT32 NR012704), and Pre-Doctoral Fellowship in Interdisci-plinary Cardiovascular Health Research. Maureen M. Black’scontribution was supported by NIDDK R01DK107761.
Supplementary Materials
Complete search strategy for this review. Final searchconducted on August 8, 2016. (Supplementary Materials)
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