Household Food Insecurity Is Associated with Higher Child Undernutrition in Bangladesh, Ethiopia, and Vietnam, but the Effect Is Not Mediated by Child Dietary Diversity
Abstract:Household food insecurity (HFI) is a recognized underlying determinant of child undernutrition, but evidence of associations between HFI and child undernutrition is mixed. The purpose of this study was to investigate if HFI is associated with undernutrition in children aged 6-59.9 mo in Bangladesh (n = 2356), Ethiopia (n = 3422), and Vietnam (n = 3075) and if child dietary diversity (DD) mediated this effect. We used baseline survey data from the Alive & Thrive project. Logistic regression, adjusting for poten… Show more
“…This method does not refer to children in particular, but uses country level average numbers of calorie supply and minimum consumption requirements in the population (de Haen, Klasen, & Qaim, 2011). Calorie availability and access are important determinants of child nutritional status (Psaki et al, 2012;Ali et al, 2013). Furthermore, we control for sanitation conditions, which are also important for explaining child nutrition (Fink, Günther, & Hill, 2011;Smith & Haddad, 2014).…”
Abstract. We analyze how the nutrition transition affects child malnutrition in developing countries. It is often assumed that the nutrition transition affects child weight but not child growth, which could be one reason why child underweight decreases faster than child stunting.But these effects have hardly been analyzed empirically. Our cross-country panel regressions show that the nutrition transition reduces child underweight, while no consistent effect on child overweight is found. Against common views, our results also suggest that the nutrition transition reduces child stunting. Further research is required to confirm these findings.Keywords: Nutrition transition, malnutrition, stunting, underweight, obesity JEL codes: I15, O10, O13
AcknowledgementThis research was financially supported by the German Research Foundation (DFG).
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The Nutrition Transition and Indicators of Child MalnutritionAbstract. We analyze how the nutrition transition affects child malnutrition in developing countries. It is often assumed that the nutrition transition affects child weight but not child growth, which could be one reason why child underweight decreases faster than child stunting.But these effects have hardly been analyzed empirically. Our cross-country panel regressionsshow that the nutrition transition reduces child underweight, while no consistent effect on child overweight is found. Against common views, our results also suggest that the nutrition transition reduces child stunting. Further research is required to confirm these findings.
“…This method does not refer to children in particular, but uses country level average numbers of calorie supply and minimum consumption requirements in the population (de Haen, Klasen, & Qaim, 2011). Calorie availability and access are important determinants of child nutritional status (Psaki et al, 2012;Ali et al, 2013). Furthermore, we control for sanitation conditions, which are also important for explaining child nutrition (Fink, Günther, & Hill, 2011;Smith & Haddad, 2014).…”
Abstract. We analyze how the nutrition transition affects child malnutrition in developing countries. It is often assumed that the nutrition transition affects child weight but not child growth, which could be one reason why child underweight decreases faster than child stunting.But these effects have hardly been analyzed empirically. Our cross-country panel regressions show that the nutrition transition reduces child underweight, while no consistent effect on child overweight is found. Against common views, our results also suggest that the nutrition transition reduces child stunting. Further research is required to confirm these findings.Keywords: Nutrition transition, malnutrition, stunting, underweight, obesity JEL codes: I15, O10, O13
AcknowledgementThis research was financially supported by the German Research Foundation (DFG).
1
The Nutrition Transition and Indicators of Child MalnutritionAbstract. We analyze how the nutrition transition affects child malnutrition in developing countries. It is often assumed that the nutrition transition affects child weight but not child growth, which could be one reason why child underweight decreases faster than child stunting.But these effects have hardly been analyzed empirically. Our cross-country panel regressionsshow that the nutrition transition reduces child underweight, while no consistent effect on child overweight is found. Against common views, our results also suggest that the nutrition transition reduces child stunting. Further research is required to confirm these findings.
“…These studies were done among schoolchildren and pre-school children in Columbia (11,12) , tribal children aged 6-59 months in West Bengal, India (13) , children aged 6-18 months living in urban squatter settlements of Karachi, Pakistan (10) and a nationally representative sample of children aged 0-60 months in Brazil (16) . A multinational study from eight countries was done on a sample of 100 children aged 24-60 months in each country (14) and another study included samples ranging from 2356 to 3422 children aged 6-60 months in three countries (9) , but none covered a nationally representative sample of children aged <5 years. In most of the studies, the association of HFI with stunting and underweight was consistent despite different instruments being applied to measure HFI (9)(10)(11)(12)(13)(14)(15) .…”
mentioning
confidence: 99%
“…A multinational study from eight countries was done on a sample of 100 children aged 24-60 months in each country (14) and another study included samples ranging from 2356 to 3422 children aged 6-60 months in three countries (9) , but none covered a nationally representative sample of children aged <5 years. In most of the studies, the association of HFI with stunting and underweight was consistent despite different instruments being applied to measure HFI (9)(10)(11)(12)(13)(14)(15) . However, using level of HFI and/or stunting, wasting, etc.…”
Objective: To examine the association between household food insecurity score and Z-scores of childhood nutritional status indicators. Design: Population-based, cross-sectional survey, Nepal Demographic and Health Survey 2011. Setting: A nationally representative sample of 11 085 households selected by a two-stage, stratified cluster sampling design to interview eligible men and women. Subjects: Children (n 2591) aged 0-60 months in a sub-sample of households selected for men's interview. Results: Prevalence of moderate and severe household food insecurity was 23·2 % and 19·0 %, respectively, for children aged 0-60 months. Weighted prevalence rates for stunting (height-for-age Z-score (HAZ) <−2), wasting (weight-for-height Z-score (WHZ) <−2) and underweight (weight-for-age Z-score (WAZ) <−2) were 41·6 % (95 % CI 38·9, 44·3 %), 11·5 % (95 % CI 9·8, 13·2 %) and 30·1 % (95 % CI 27·5, 32·8 %), respectively. Prevalences of stunting, severe stunting (HAZ <−3) and underweight by level of household food insecurity were statistically significant (P < 0·001). By multiple linear regression analyses and after adjustment for sociodemographic, child and environmental factors, household food access insecurity score was associated with HAZ (β = − 0·02, P = 0·01) and WAZ (β = − 0·01, P = 0·01) but was not associated with WHZ and BMI-for-age Z-score. A 10-point increase in household food access insecurity score was associated with a decrease in HAZ of 0·2 (95 % CI 0·05, 0·39) and decrease in WAZ of 0·1 (95 % CI 0·03, 0·27). Conclusions: Our results from a nationally representative sample confirm the previously reported association of household food insecurity with stunting and underweight. Community nutrition interventions may use household food insecurity scales for identifying those households where children may be at risk of growth faltering.
“…The prevalence of under-five year old children HHFI was also significantly higher in some developing countries, such as, Brazil (51.7%), Ghana (69.9%), Ethiopia (66.4%), Vietnam (40.3%) and Nepal (69.0%). 6,16,18,28 Our study showed that food insecurity was more prevalent among the children of illiterate parents, socio-economically poor families and rural dwelling. The findings were consistent with a study in Nepal that suggested that parent's educational status and socio-economic status were significantly associated with HHFI.…”
Section: Prevalence Of Hhfi (Bivariate Analysis Based On Chisquare Test)mentioning
confidence: 86%
“…Despite impressive progress in agriculture since independence in 1971, food prices have rapidly increased in the last decade which has resulted in poverty and hunger in Bangladesh. 28 In addition, natural hazards, such as, environmental pollution, floods, global worming etc, sometimes hamper agricultural production which may cause HHFI. 34 Bivariate analysis also showed the significant relationship between HHFI and breastfeeding status.…”
To examine the prevalence of household food insecurity (HHFI) among children aged between 6-23 months in Bangladesh. This paper also aims to identify the individual, household and community levels determinants of HHFI and the association between nutritional behavior and HHFI. Bangladesh Demographic Health Survey (BDHS), 2011 was used for this research. A total of 2,344 children were selected for analysis. Statistical analysis and tests were guided by the nature of the variables. Finally, logistic regression analysis was used to find out the association between independent variables and outcome. The overall prevalence of HHFI was 36.3% (95% CI: 33.6-39.0) among the participants (children). The prevalence of HHFI was significantly higher among children who did not receive nutritional items. In contrast, HHFI was more prevalent among children who were breastfed (37.0%) as compared to non-breastfed. Binary logistic regression analysis showed that children of illiterate mothers (adjusted OR: 2.20, 95% CI: 1.17-4.10), illiterate fathers (adjusted OR: 2.27, 95% CI: 1.41-3.66) and socio-economically poor families (adjusted OR: 11.35, 95% CI: 7.20-17.91) were more at risk of experiencing HHFI, whereas, rural children (adjusted OR: 0.72, 95% CI: 0.57-0.93) were more protective. In the adjusted logistic regression model, children who did not receive juice (adjusted OR: 1.54, 95% CI: 1.09-2.16) had experienced HHFI. The prevalence of HHFI among children is still high in Bangladesh. Therefore, to achieve the Millennium Development Goals, the Government of Bangladesh should priorities HHFI as a major public health issue. Strong collaborations among various stakeholders are also crucial to improve the situation.South East Asia Journal of Public Health Vol.6(2) 2016: 53-60
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