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Effect of early childhood stunting on schooling among poor urban households in Nairobi, Kenya Maurice Mutisya APHRC.

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Presentation on theme: "Effect of early childhood stunting on schooling among poor urban households in Nairobi, Kenya Maurice Mutisya APHRC."— Presentation transcript:

1 Effect of early childhood stunting on schooling among poor urban households in Nairobi, Kenya Maurice Mutisya APHRC

2 Content Introduction Objective Study Design Results Conclusion

3 Introduction Interest in early childhood development (Fall et al.) – Nutrition key for the development of a child (Jyoti, Frangillo, & Jones, 2005). – Effects accrue to later life - low academic achievement and lower earnings (Save the Children, 2013) Recent focus – growth during the first 1000 days – Moving beyond mortality to cognitive development – Challenge – lack of data – longitudinal studies!

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5 Objective Use existing longitudinal study to determine the effect of stunting and food security on achievement among children aged between 5 &8 years in Korogocho and Viwandani.

6 Objective and Research Question Objectives – Explore the effect of early childhood nutrition (stunting) and food security on achievement among children aged between 5 &8 years in Korogocho and Viwandani. Research Question – What is the effect of child nutrition and food security on school entry and achievement?

7 Design Quantitative survey – Integrated: – MCH- longitudinal study 2007 and 2010 Secondary data on stunting during first 1000 days – Cross-sectional survey (primary data) – achievement – NUHDSS – Food security information Assessment – Literacy and Numeracy basic skills - % score

8 Sampling Loss to follow up – Migration Response rate of 71% Biased sample – non-random loss? 7425 Total recruitment (IDS) 2007- 10 <5 years 7425 5+ years 7425 Lost 1235 Lost 2340 2056 1794 Migrations 121 1673 Stunting Info. not enough/available Normal 618 (36.9) Stunted 1055 (63.1) 1189 Normal 436 (36.7) Stunted 753 (63.3) 182 302 Migration; no Respondent

9 Study Setting and Target population Nairobi Urban Demographic Surveillance System (NUHDSS) – Two study sites – Korogocho and Viwandani – ……. about 70,000 individuals in 23000 HHs Target Population – Households participating in MCH study – Inclusion – currently active in the NUHDSS – Child aged between 5 and 8 years

10 Measurements – Key variables Outcome  Z-score on literacy and numeracy  Basic skills Stunting  Height for Age during the first 2 years Food security  Items on food uncertainty, worry, child and adult hunger Wealth Index  PCA - Assets and amenities

11 Background information VariablePercentage % Stunting63.3% Not stunted36.7 Temporal stunt24.5 Stunted38.8 % food secure39.2 % Poorest (wealth index)34.7 % joined school

12 Numeracy z-scores

13 Literacy Z-scores

14 SEM Model Achievement Food security Stunting Gender ADHD Wealth Index Father Educ. Mother Educ. School years HH size Homework Sch. type Mother age Orphan hood HH: Household; ADHD = Attention Deficit Hyperactivity Disorder

15 SEM: Numeracy SEM: Numeracy - direct and indirect effects VariableDirect EffectsIndirect EffectsTotal Effects Stunting Not stunted-- Temporal-0.123*** Stunted-0.183*** Food Security Secure--- Moderate-0.035-0.003-0.037 Insecure-0.018-0.008-0.025 Wealth Index Poorest--- Middle0.122**0.0090.131** Least poor0.0960.0190.115* Controlling for other covariates; ***P<0.01; **P<0.05; *P<0.1

16 SEM: Literacy SEM: Numeracy - direct and indirect effects VariableDirect EffectsIndirect EffectsTotal Effects Stunting Not stunted-- Temporal-0.181*** Stunted-0.293*** Food Security Secure Moderate-0.028 Insecure-0.068 Wealth Index Poorest Middle0.0720.0200.093* Least poor0.209**0.044**0.253** Controlling for other covariates; ***P<0.01; **P<0.05; *P<0.1

17 Conclusion Opportunity provided by longitudinal studies Early childhood stunting associated with literacy and numeracy achievement – Poor health – Cognitive development? Food security not related with achievement – Food security related to nutrition (Reis, 2012; Saaka & Osman, 2013) – Effect – could be attenuated by nutrition

18 Acknowledgements Study Participants Field staff APHRC Researchers CARTA

19 mmutisya@aphrc.org www.aphrc.org


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