Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Hongo Campus, Medical Building 3, 7-3-1 Hongo, Bunkyo-Ku, Tokyo 113-0033, Japan.
Global Public Health Research Foundation, Dhaka, Bangladesh.
Public Health Nutr. 2020 Jan;23(1):72-82. doi: 10.1017/S136898001900140X. Epub 2019 Jun 17.
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.
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.
Household surveys in Bangladesh from 1996 to 2014.
Children under the age of 5 years.
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.
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.
预测 2030 年之前儿童营养不足指标的流行率,并分析营养不良指标的财富不平等变化以及社会经济决定因素对孟加拉国营养不良指标不平等的贡献程度。此外,还旨在确定儿童营养不良的风险因素。
横断面研究。使用贝叶斯线性回归模型来估计营养不良的趋势和预测。为了进行公平性分析,使用斜率指数、相对指数和集中指数分解。多水平逻辑回归模型用于确定营养不良的风险因素。
孟加拉国 1996 年至 2014 年的家庭调查。
5 岁以下儿童。
所有营养不足指标均呈下降趋势。1990 年,预计发育迟缓、消瘦和体重不足的患病率分别为 55.0%、15.9%和 61.8%。到 2030 年,预计发育迟缓的患病率将降至 28.8%,消瘦的患病率将降至 12.3%,体重不足的患病率将降至 17.4%。最富裕家庭的发育迟缓、消瘦和体重不足的患病率比最贫穷家庭低 34.3、6.9 和 32.8 个百分点。财富指数对儿童营养不良的贡献随着时间的推移而增加,对贫困人口不利的最大贡献是由财富指数解释的。体重不足的母亲、教育程度较低的父母和贫困家庭是发育迟缓与体重不足的关键风险因素。
我们的研究结果表明,需要有针对性的干预措施,以改善贫困家庭的教育和家庭创收活动,从而减少不平等现象,减轻孟加拉国儿童营养不良的负担。