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Dairy Intensification in
                       Kenya and Young Child
                       Nutrition


            AIFSC – ILRI
 Food Security and Nutrition Workshop
        September 11, 2012
           Nairobi, Kenya
Amanda Wyatt
Senior Research Assistant
CGIAR Research Program - Agriculture for Nutrition and Health
International Food Policy Research Institute
East Africa Dairy Development
• Goal: To double the dairy incomes of
 smallholder dairy farmers in the region
 in 10 years through improved agricultural
 methods and market access.

• Time period: Dec 2007—Dec 2011

• Location: Kenya, Rwanda, Uganda;
 EADD2 in Tanzania and Ethiopia

• Partners: Heifer International, TechnoServe, International
 Livestock Research Institute, African Breeders Services, World
 Agroforestry Center

• Funder: The Bill and Melinda Gates Foundation
ILRI and Emory University, June-July 2010
  What is the impact of dairy intensification on young child nutrition?

Four pathways                     Nutritional Considerations
• Direct consumption              • Household milk consumption
                                  • Consumption patterns for different
                                   household members (children <5 yo)

• Income                          • Food quantity and quality
                                  • Intra-household decision making


                                  • IYCFP
• Maternal time allocation        • Childcare quality




                                  • Food safety
• Exposure to health risks
                                  • Synergy between disease and nutrition
ILRI and Emory University, June - July 2010
   What is the impact of dairy intensification on young child nutrition?

• Three study sites in Rift Valley Province, Kenya


• Methods
  • 27 Focus Group Discussions
     • 3 groups of farmers
       • Male farmers, female farmers, and female farmers with young
         children
    • 3 levels of dairy production
       • No milk (0 ltr), Medium (0.1-5.9 ltr) , High (6+ ltr)

  • Household survey, n=94
    • Households identified by randomly generated GPS coordinates
    • Selection criteria
      • Resident child <5 years old
Results: Nutrition
 • Milk consumption
 • Household diets and diets of young children
 • Infant and young child feeding practices
Milk Consumption of Young Children*
        Parental report from the household survey
 100
   90
   80
   70
   60
                                                    No milk (n=25)
   50
                                                    Mid (n=28)
   40
                                                    High (n=27)
   30
   20
   10
    0
          No fresh milk       0.5 cup    > 1 cup


*Young children defined as 6-60 months
“Without milk they won’t be healthy, their hair
would get brown, the kids wouldn’t get full and
their legs would be like this [indicated
bowlegs].”

“We want the children to have beautiful and
handsome faces, that’s why we give milk.”

“But when there is no milk the children are not
healthy. Their hair turns red and big stomachs
because they don’t get enough food.”

“It even helps their brains.”


Why is milk good for young children?
Selected responses from the FGDs with female farmers.
Household food consumption
7
6
5
4                                                           No milk
3                                                           Medium
2
                                                            High
1
0                                                          *p ≤ 0.05; **p<0.0001
     Staples Pulses* Veggies Fruits     Meats*    Milk**



Child dietary diversity
• Results                                        groups
    • Overall dietary diversity score     • Other Studies
      • 5.1 ± 1.2                           • Rift Valley Province (Kenya DHS)
      • 80% met min requirements            • 56% met minimum reqs
    • 100% consumed dairy previous
      day                                   • Western Province (Ekesa, 2008)
    • No diffs between production           • 30.6% had not consumed any
Infant and Young Child Feeding Practices
12

10

 8                                                          Cow's milk (n=80)

 6                                                          Porridge (n=81)

 4
                                                            Mashed or semi-
                                                            solid foods (n=76)
 2

 0
        No milk          Emerging        Advanced


     • Engaging in increasing levels of dairy production was associated
       with lower odds of EBF.
     • Mothers from the high production group were nearly 4x more likely
       to introduce cow’s milk before the child reached 6 months.
Lessons Learned: Dairy Intensification
• Appears to contribute to household dietary diversity
  • Cow’s milk is key in the diets of young children, but level of
    household dairy production is not an independent contributing
    factor.

• Preference for cow’s milk and its availability in this
 population may have a negative influence on EBF.
  • Education and awareness should focus on age-appropriate intro of
    milk and promote cow’s milk in maternal diets during pregnancy
    and while BF.

• Maternal time allocation needs to be explored further.


• EADD is an example of a nutrition-sensitive
 intervention, but to maximize nutritional benefits, it should
 be combined with an investment in more nutrition-specific
 interventions.
Acknowledgements
                Collaborators                                          Funding
• Int’l Livestock Research Institute                     • East Africa Dairy Development Project
 (ILRI), Nairobi, Kenya                                  • Global Health Institute, Emory
  • Isabelle Baltenweck
  • Delia Grace                                           University
  • Jemimah Njuki
  • Thomas Randolph
                                                         • The Halle Institute, Emory University
• Emory University, Atlanta, Georgia                     • Program in Development
 USA                                                      Studies, Emory University
  •   Craig Hadley (faculty, Anthropology, HDGH)
  •   Peter Little (faculty, Anthropology, Development
      Studies)
  •   Claire Null (faculty, HDGH, Economics)
  •   Usha Ramakrishnan (faculty, HDGH, Nutrition)
  •   Aimee Webb-Girard (faculty, HDGH, Nutrition)
  •   Kathryn Yount (faculty HDGH, Sociology)
  •   Shreyas Sreenath (student, Economics)
  •   Amanda Watkins (student, Nursing)
  •   Anna Yearous-Algozin (student, Nursing)

• University of Nairobi, Nairobi, Kenya
  •   Prof. Erastus Kang’ethe

• Egerton University, Njoro, Kenya
  •   Samwel Mbugua

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Amanda Wyatt (IFPRI) - Dairy Intensification in Kenya and Young Child Nutrition

  • 1. Dairy Intensification in Kenya and Young Child Nutrition AIFSC – ILRI Food Security and Nutrition Workshop September 11, 2012 Nairobi, Kenya Amanda Wyatt Senior Research Assistant CGIAR Research Program - Agriculture for Nutrition and Health International Food Policy Research Institute
  • 2. East Africa Dairy Development • Goal: To double the dairy incomes of smallholder dairy farmers in the region in 10 years through improved agricultural methods and market access. • Time period: Dec 2007—Dec 2011 • Location: Kenya, Rwanda, Uganda; EADD2 in Tanzania and Ethiopia • Partners: Heifer International, TechnoServe, International Livestock Research Institute, African Breeders Services, World Agroforestry Center • Funder: The Bill and Melinda Gates Foundation
  • 3. ILRI and Emory University, June-July 2010 What is the impact of dairy intensification on young child nutrition? Four pathways Nutritional Considerations • Direct consumption • Household milk consumption • Consumption patterns for different household members (children <5 yo) • Income • Food quantity and quality • Intra-household decision making • IYCFP • Maternal time allocation • Childcare quality • Food safety • Exposure to health risks • Synergy between disease and nutrition
  • 4. ILRI and Emory University, June - July 2010 What is the impact of dairy intensification on young child nutrition? • Three study sites in Rift Valley Province, Kenya • Methods • 27 Focus Group Discussions • 3 groups of farmers • Male farmers, female farmers, and female farmers with young children • 3 levels of dairy production • No milk (0 ltr), Medium (0.1-5.9 ltr) , High (6+ ltr) • Household survey, n=94 • Households identified by randomly generated GPS coordinates • Selection criteria • Resident child <5 years old
  • 5. Results: Nutrition • Milk consumption • Household diets and diets of young children • Infant and young child feeding practices
  • 6. Milk Consumption of Young Children* Parental report from the household survey 100 90 80 70 60 No milk (n=25) 50 Mid (n=28) 40 High (n=27) 30 20 10 0 No fresh milk 0.5 cup > 1 cup *Young children defined as 6-60 months
  • 7. “Without milk they won’t be healthy, their hair would get brown, the kids wouldn’t get full and their legs would be like this [indicated bowlegs].” “We want the children to have beautiful and handsome faces, that’s why we give milk.” “But when there is no milk the children are not healthy. Their hair turns red and big stomachs because they don’t get enough food.” “It even helps their brains.” Why is milk good for young children? Selected responses from the FGDs with female farmers.
  • 8. Household food consumption 7 6 5 4 No milk 3 Medium 2 High 1 0 *p ≤ 0.05; **p<0.0001 Staples Pulses* Veggies Fruits Meats* Milk** Child dietary diversity • Results groups • Overall dietary diversity score • Other Studies • 5.1 ± 1.2 • Rift Valley Province (Kenya DHS) • 80% met min requirements • 56% met minimum reqs • 100% consumed dairy previous day • Western Province (Ekesa, 2008) • No diffs between production • 30.6% had not consumed any
  • 9. Infant and Young Child Feeding Practices 12 10 8 Cow's milk (n=80) 6 Porridge (n=81) 4 Mashed or semi- solid foods (n=76) 2 0 No milk Emerging Advanced • Engaging in increasing levels of dairy production was associated with lower odds of EBF. • Mothers from the high production group were nearly 4x more likely to introduce cow’s milk before the child reached 6 months.
  • 10. Lessons Learned: Dairy Intensification • Appears to contribute to household dietary diversity • Cow’s milk is key in the diets of young children, but level of household dairy production is not an independent contributing factor. • Preference for cow’s milk and its availability in this population may have a negative influence on EBF. • Education and awareness should focus on age-appropriate intro of milk and promote cow’s milk in maternal diets during pregnancy and while BF. • Maternal time allocation needs to be explored further. • EADD is an example of a nutrition-sensitive intervention, but to maximize nutritional benefits, it should be combined with an investment in more nutrition-specific interventions.
  • 11. Acknowledgements Collaborators Funding • Int’l Livestock Research Institute • East Africa Dairy Development Project (ILRI), Nairobi, Kenya • Global Health Institute, Emory • Isabelle Baltenweck • Delia Grace University • Jemimah Njuki • Thomas Randolph • The Halle Institute, Emory University • Emory University, Atlanta, Georgia • Program in Development USA Studies, Emory University • Craig Hadley (faculty, Anthropology, HDGH) • Peter Little (faculty, Anthropology, Development Studies) • Claire Null (faculty, HDGH, Economics) • Usha Ramakrishnan (faculty, HDGH, Nutrition) • Aimee Webb-Girard (faculty, HDGH, Nutrition) • Kathryn Yount (faculty HDGH, Sociology) • Shreyas Sreenath (student, Economics) • Amanda Watkins (student, Nursing) • Anna Yearous-Algozin (student, Nursing) • University of Nairobi, Nairobi, Kenya • Prof. Erastus Kang’ethe • Egerton University, Njoro, Kenya • Samwel Mbugua

Notes de l'éditeur

  1. Median consumption was 1.0 cup (0.5, 1.5) of fresh milk overall; 0.5 (0.5, 1.0) for the no milk and emerging groups and 1.0 (0.5, 2.0) for the advanced
  2. In regression models, controlled for maternal and household characteristics: site, sex of child, age of child, age of primary caretaker, years of education, household size, household asset score, food consumption score, and farm land owned