TY - JOUR
T1 - Reducing childhood malnutrition in Bangladesh
T2 - The importance of addressing socio-economic inequalities
AU - Islam, Md Rashedul
AU - Rahman, Md Shafiur
AU - Rahman, Md Mahfuzur
AU - Nomura, Shuhei
AU - De Silva, Angela
AU - Lanerolle, Pulani
AU - Jung, Jenny
AU - Rahman, Md Mizanur
N1 - Publisher Copyright:
© The Authors 2019.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/1/1
Y1 - 2020/1/1
N2 - Objective: To obtain projections of the prevalence of childhood malnutrition indicators up to 2030 and to analyse the changes of wealth-based inequality in malnutrition indicators and the degree of contribution of socio-economic determinants to the inequities in malnutrition indicators in Bangladesh. Additionally, to identify the risk factors of childhood malnutrition.Design: Cross-sectional study. A Bayesian linear regression model was used to estimate trends and projections of malnutrition. For equity analysis, slope index, relative index and decomposition in concentration index were used. Multilevel logistic models were used to identify risk factors of malnutrition.Setting: Household surveys in Bangladesh from 1996 to 2014.Participants: Children under the age of 5 years.Results: A decreasing trend was observed for all malnutrition indices. In 1990, predicted prevalence of stunting, wasting and underweight was 55·0, 15·9 and 61·8 %, respectively. By 2030, prevalence is projected to reduce to 28·8 % for stunting, 12·3 % for wasting and 17·4 % for underweight. Prevalence of stunting, wasting and underweight were 34·3, 6·9 and 32·8 percentage points lower in the richest households than the poorest households. Contribution of the wealth index to child malnutrition increased over time and the largest contribution of pro-poor inequity was explained by wealth index. Being an underweight mother, parents with a lower level of education and poorer households were the key risk factors for stunting and underweight.Conclusions: Our findings show an evidence-based need for targeted interventions to improve education and household income-generating activities among poor households to reduce inequalities and reduce the burden of child malnutrition in Bangladesh.
AB - Objective: To obtain projections of the prevalence of childhood malnutrition indicators up to 2030 and to analyse the changes of wealth-based inequality in malnutrition indicators and the degree of contribution of socio-economic determinants to the inequities in malnutrition indicators in Bangladesh. Additionally, to identify the risk factors of childhood malnutrition.Design: Cross-sectional study. A Bayesian linear regression model was used to estimate trends and projections of malnutrition. For equity analysis, slope index, relative index and decomposition in concentration index were used. Multilevel logistic models were used to identify risk factors of malnutrition.Setting: Household surveys in Bangladesh from 1996 to 2014.Participants: Children under the age of 5 years.Results: A decreasing trend was observed for all malnutrition indices. In 1990, predicted prevalence of stunting, wasting and underweight was 55·0, 15·9 and 61·8 %, respectively. By 2030, prevalence is projected to reduce to 28·8 % for stunting, 12·3 % for wasting and 17·4 % for underweight. Prevalence of stunting, wasting and underweight were 34·3, 6·9 and 32·8 percentage points lower in the richest households than the poorest households. Contribution of the wealth index to child malnutrition increased over time and the largest contribution of pro-poor inequity was explained by wealth index. Being an underweight mother, parents with a lower level of education and poorer households were the key risk factors for stunting and underweight.Conclusions: Our findings show an evidence-based need for targeted interventions to improve education and household income-generating activities among poor households to reduce inequalities and reduce the burden of child malnutrition in Bangladesh.
KW - Bangladesh
KW - Child malnutrition
KW - Decomposition analysis
KW - Health inequality
KW - Projection
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U2 - 10.1017/S136898001900140X
DO - 10.1017/S136898001900140X
M3 - Article
C2 - 31203835
AN - SCOPUS:85067502682
SN - 1368-9800
VL - 23
SP - 72
EP - 82
JO - Public Health Nutrition
JF - Public Health Nutrition
IS - 1
ER -