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Your Institution and Partner Logo Photo Credit Goes Here Linking Agriculture, Food Security, Diet and Nutrition in Nepal: Insights from the USAID Nutrition Innovation Lab, Kathmandu, Nepal. Sudeep Shrestha, Swetha Manohar, Jamie Dorsey, Abhigyna Bhattarai, Binod Shrestha, Sumanta Neupane, Rolf Klemm, Shibani Ghosh, Patrick Webb, Keith P. West, Jr.

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  • Your Institution and Partner Logo

    Photo Credit Goes Here

    Linking Agriculture, Food Security, Diet and Nutrition in Nepal: Insights from the USAID Nutrition Innovation Lab, Kathmandu, Nepal.

    Sudeep Shrestha, Swetha Manohar, Jamie Dorsey, Abhigyna Bhattarai, Binod Shrestha, Sumanta Neupane, Rolf Klemm, Shibani Ghosh, Patrick Webb, Keith P. West, Jr.

  • Aims• Design and implement a nationally representative

    surveillance system

    • Explore causal pathways between agriculture and nutrition in the community

    • Assess in two national panel survey data (collected annually, every May-July (2013/14), in a nationally representative sample of VDCs in the Mountains, Hills and Terai):

    • Household food access and security• Diet quality• Nutritional status

  • Food Security, Diet, Nutrition

    ?????

    Agriculture to Nutrition Pathways

    Agriculture

  • Crops, Gardens and Markets

    …to Household Food Security & Wealth

    ...to Dietary Intake, Quality of Life & Services

    … to Nutritional Status of Women & Children

    ...to

    Info

    rm P

    olic

    ies

    and

    Prog

    ram

    s Agriculture to Nutrition Pathways

  • The Nutrition Innovation Lab-Nepal: Agriculture-to-nutrition national surveillance

    Policy and Science for Health, Agriculture and Nutrition (PoSHAN)

    New ERA

  • Nepal:

    • Poor agricultural country(25% population < $1.25/day)

    • Over 80% engaged in agricultural sector, mostly on subsistence family farms.

    • Two third of Nepal’s poor are farming households

  • Nepal: Undernutrition and food insecurity are endemic

    Food Insecurity

    Undernutrition

    Food Deficit Food Insecure43 23

    Food Insecure Districts

    Stunting Wasting Underweight41 11 29

    Child Undernutrition (%)Underweight Overweight/Obese Short stature

    18.2 13.5 11.6

    Maternal Undernutrition (%)

    Overall Moderate Severe~50 23 16

    Food Insecure Households (%)

    (UNICEF 2009)

    (NDHS 2011)

    hh cha

    Table 1: Sample characteristics of households in the PoSHAN Community Studies, 2nd Annual Panel Survey

    Total%

    Household headship

    Male353370.9

    Female144729.1

    Mean size of household42755.56 (2.5)

    Education (HHH)

    No education226245.4

    Some primary62912.6

    Completed primary3507.0

    Some secondary82816.6

    Completed secondary3777.6

    More than secondary53410.7

    Source of drinking water

    Improved source

    Piped into dwelling/yard/plot179536.28

    Tube well or borehole279456.48

    Protected well60.12

    Stone Tap951.92

    Bottled water931.88

    Non-improved source1643.32

    Household effects

    Electric Fan201340.7

    Radio113623.0

    TV234447.4

    Bicycle210942.6

    Motorcycle70314.2

    Mobile452091.4

    Hand Pump/Tube Well/Tap/Rower Pump/Shallow Tube Well275355.7

    Ring Well (Protected)140.3

    Ethnicity

    Hill Brahmin3096.3

    Hill Chhetri86717.5

    Terai Brahmin/Chhetri501.0

    Other Terai caste148129.9

    Hill Dalit50110.1

    Terai Dalit3166.4

    Newar1182.4

    Hill Janajati79216.0

    Terai Janajati2635.3

    Muslim2274.6

    Other230.5

    Main Occupation of Women

    Not working60.1

    Retired00.0

    Student901.7

    Non earning occupation(eg. housewife/FCHV)345266.4

    Wage employment2464.7

    Business/trader/self employment3616.9

    Salaried worker1743.3

    Agriculture/Livestock/Poultry/Aquaculture87116.7

    Other 20.0

    Main Occupation of Head of HH

    Not working1082.2

    Retired370.7

    Student280.6

    Non earning occupation(eg. housewife/FCHV)67413.6

    Wage employment82516.6

    Business/trader/self employment106021.3

    Salaried worker4939.9

    Agriculture/Livestock/Poultry/Aquaculture172534.7

    Other 260.5

    Table 2: Sample Characteristics of PoSHAN 1st Annual Panel Survey, by agro ecoglogical zone

    MountainsHillsTeraiPoSHAN Total

    No. Households (N)834135227614947

    No. of Women (N)826142429525202

    Household size, Mean (SD)4.8 (1.8)4.8 (1.9)6.2 (2.7)5.6 (2.5)

    No. of Children

  • Mountains543 VDCs

    Hills2,034 VDCs

    Terai1,394 VDCs

    7 VDCs 7 VDCs 7 VDCs

    21 Wards 21 Wards 21 Wards

    Annual assessment of all consenting households & eligible individuals with children

  • DOLPA

    MUGU

    JUMLA

    KAILALI

    BARDIYA

    HUMLA

    DOTI

    SURKHET

    DANG

    BANKE

    ACHHAM KALIKOT

    JHAPA

    SIRAHA

    SAPTARI

    DARCHULA

    BAJHANG

    BAITADI BAJURA

    MAH

    OTT

    ARI

    CHITWAN

    KASKI

    TANAHU

    PALPA

    GULMI

    ILAM

    BHOJPUR

    DHANKUTA

    TAPLEJUNG

    OKHALDHUNGA

    KHOTANG

    LALIT

    BKT

    NUWAKOT

    KAVRE

    RASUWALAMJUNG

    GORKHAROLPA

    SALYANMYAGDI

    DAILEKHJAJARKOT

    RUKUM

    MUSTANG

    MANANG

    PoSHAN Nationally Sampled Districts

    Terai (n=7)

    Mountains (n=7)

    Hills (n=7)

    21 Districts, 21 VDCs, 63 wardsN = ~5000 households with preschool children

    Annual assessments: May-July 2013, 2014

  • Panel 2 (2014) Mts Hills Terai TotalNo. Households (N) 834 1352 2761 4947No. of Women (N) 826 1424 2952 5202No. of Children

  • 37.136.2

    34.835.5

    39.1

    36.9 37.237.4

    41

    Mountain Hill Terai PoSHAN Total

    Stunting prevalence (among children

  • 8.3

    10.8

    23.3

    17.7

    7.38.8

    21.6

    16.3

    11

    Mountain Hill Terai PoSHAN Total

    Wasting prevalence (among children

  • 26 29.1

    39.134.4

    25.7 27.1

    39.834.6

    29

    Mountain Hill Terai PoSHAN Total

    Underweight prevalence (among children

  • Underweight Overweight/Obese Short stature

    Panel 1 (2013)

    Panel 2 (2014)

    NDHS (2011)

    Panel 1 (2013)

    Panel 2 (2014)

    NDHS (2011)

    Panel 1 (2013)

    Panel 2 (2014)

    NDHS (2011)

    Mountains 19.2 16.8 8.7 10.9 6.9 7.63

    Hills 16.3 13.7 13.3 17.3 8.7 9.9

    Terai 37.2 33.7 7 8 14.3 14.6

    PoSHANTotal 28.4 25.3 18 9 11.1 13.5 11.6 12.2 11.6

    Risk of Maternal Wasting (by BMI)Highest in the Terai

  • 61

    52

    25 24

    34

    26

    1.9 2.2

    50

    38

    2623 25

    15

    0.0 0.0

    70

    59

    31 32

    38

    26

    0.2 0.4

    63

    52

    46

    29 28 27

    34

    23

    18

    0.4 0.6 0.5

    0

    10

    20

    30

    40

    50

    60

    70

    80

    Pane

    l 1 (2

    013)

    Pane

    l 2 (2

    014)

    NDH

    S(20

    11)

    Pane

    l 1 (2

    013)

    Pane

    l 2 (2

    014)

    NDH

    S(20

    11)

    Pane

    l 1 (2

    013)

    Pane

    l 2 (2

    014)

    NDH

    S(20

    11)

    Pane

    l 1 (2

    013)

    Pane

    l 2 (2

    014)

    NDH

    S(20

    11)

    Any Mild Moderate Severe

    Anemia prevalence (among children 6-59 M) between Panel 1 (2013) and Panel 2 (2014) surveys

    Mountain Hill Terai PoSHAN Total

    Anemia in children improved but still high

  • 42

    31

    2316 18 15

    1.2 0.6

    3630

    17 18 18

    11

    0.8 1.0

    66 66

    3135 35

    30

    1.0 1.0

    5350

    26 27 2722

    1.0 1.00

    10

    20

    30

    40

    50

    60

    70

    Panel 1(2013)

    Panel 2(2014)

    Panel 1(2013)

    Panel 2(2014)

    Panel 1(2013)

    Panel 2(2014)

    Panel 1(2013)

    Panel 2(2014)

    Any (

  • Anemia (non-pregnant) Any Mild Moderate Severe

    Panel 1 (2013)

    Panel 2 (2014)

    Panel 1 (2013)

    Panel 2 (2014)

    Panel 1 (2013)

    Panel 2 (2014)

    Panel 1 (2013)

    Panel 2 (2014)

    Mountains 42 31 23 16 18 15 1.2 0.6Hills 36 30 17 18 18 11 0.8 1.0Terai 66 66 31 35 35 30 1.0 1.0

    PoSHAN Total 53 50 26 27 27 22 1.0 1.0

    Anemia (pregnant) Any Mild Moderate Severe

    Panel 1 (2013)

    Panel 2 (2014)

    Panel 1 (2013)

    Panel 2 (2014)

    Panel 1 (2013)

    Panel 2 (2014)

    Panel 1 (2013)

    Panel 2 (2014)

    Mountains 53 22 32 17 21 6 0 0Hills 48 29 28 21 20 8 0 0Terai 64 63 33 27 32 36 0 0

    PoSHAN Total 59 50 32 24 28 25 0 0

    Terai is Anemic..

  • 51

    64

    18 1821

    1410

    5

    58

    71

    2017 18

    104 2

    64

    77

    1813 12

    7 63

    60

    73

    1915 16

    96

    3

    49

    12

    23

    16

    0

    10

    20

    30

    40

    50

    60

    70

    80

    90

    Panel 1(2013)

    Panel 2(2014)

    Panel 1(2013)

    Panel 2(2014)

    Panel 1(2013)

    Panel 2(2014)

    Panel 1(2013)

    Panel 2(2014)

    None Mild Moderate Severe

    Mountain Hill Terai Total NDHS(2011)

    Household Food Insecurity Access Scale (%)

    HHs food insecurity improving, Terai is better..

  • Agricultural Practices by Agro Ecological Zone:Better Agricultural Practices in Terai

    Agricultural practices Mtns Hills Terai

    Use of agro chemicals (pesticide) 11.3 8.2 49.6

    Market prices checking 18.3 1.8 15.1

    Composting 47.1 64.3 42.5

    Improved seed 28.3 34.0 48.4

    Improved drying methods/tools 48.9 59.3 52.9

    Inter-cropping 48.7 62.5 28.9

    Intergrated pest management 14.3 13.0 10.3

    Mechanized tools 1.9 3.0 52.5

    Food processing 48.3 53.2 71.8

    Storage equipment 6.3 3.6 8.3

    Livestock vaccination 3.8 14.5 23.2

  • Maternal nutritional status paralleled improved food security from 2013-14, but child growth did not improve. Nutritional status was poorest in the terai despite better food security and agricultural practices.

    Conclusion

  • Acknowledgements• Funding: USAID through Feed the Future Innovation Lab for

    Collaborative Research on Nutrition• Management Entity: Tufts University • PoSHAN Community Studies

    – PI: Dr. Keith P. West, Jr., Dr. Rolf D.W. Klemm – Co-I: Dr. Devendra Gauchan, Dr. Ramesh Adikhara, Swetha

    Manohar, Dr. Shibhani Ghosh, Dr. Patrick Webb, Dr. Sudeep Shrestha

    • Data Collectors: New Era Pvt Ltd; NTAG• PoSHAN-JHU Technical Team: Ruchita Rajbhandary, Abhigyana

    Bhattarai, Dr. Raman Shrestha, Hari Krishna Shah, Binod Shrestha, Sumanta Neupane, Jamie Dorsey

    • PoSHAN-Tufts Technical Team: Diplov Sapkota

    Slide Number 1Slide Number 2Slide Number 3Slide Number 4Slide Number 5Slide Number 6Slide Number 7Slide Number 8Slide Number 9Slide Number 10Slide Number 11Slide Number 12Slide Number 13Slide Number 14Slide Number 15Slide Number 16Slide Number 17Slide Number 18Slide Number 19Slide Number 20Slide Number 21