Center for Neural Engineering, The Pennsylvania State University, University Park, PA, 16802, USA.
Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA, 16802, USA.
Sci Rep. 2021 Mar 4;11(1):5204. doi: 10.1038/s41598-021-84302-w.
In 2016, undernutrition, as manifested in childhood stunting, wasting, and underweight were estimated to cause over 1.0 million deaths, 3.9% of years of life lost, and 3.8% of disability-adjusted life years globally. The objective of this study is to estimate the prevalence of undernutrition in low- and middle-income countries (LMICs) using the 2006-2018 cross-sectional nationally representative demographic and health surveys (DHS) data and to explore the sources of regional variations. Anthropometric measurements of children 0-59 months of age from DHS in 62 LMICs worldwide were used. Complete information was available for height-for-age (n = 624,734), weight-for-height (n = 625,230) and weight-for-age (n = 626,130). Random-effects models were fit to estimate the pooled prevalence of stunting, wasting, and underweight. Sources of heterogeneity in the prevalence estimates were explored through subgroup meta-analyses and meta-regression using generalized linear mixed-effects models. Human development index (a country-specific composite index based on life expectancy, literacy, access to education and per capita gross domestic product) and the United Nations region were explored as potential sources of variation in undernutrition. The overall prevalence was 29.1% (95% CI 26.7%, 31.6%) for stunting, 6.3% (95% CI 4.6%, 8.2%) for wasting, and 13.7% (95% CI 10.9%, 16.9%) for underweight. Subgroup analyses suggested that Western Africa, Southern Asia, and Southeastern Asia had a substantially higher estimated prevalence of undernutrition than global average estimates. In multivariable meta-regression, a combination of human development index and United Nations region (a proxy for geographical variation) explained 54%, 56%, and 66% of the variation in stunting, wasting, and underweight prevalence, respectively. Our findings demonstrate that regional, subregional, and country disparities in undernutrition remain, and the residual gaps to close towards achieving the second sustainable development goal-ending undernutrition by 2030.
2016 年,据估计,儿童发育迟缓、消瘦和体重不足等营养不良现象导致全球超过 100 万人死亡,占全球死亡人数的 3.9%,占生命损失年数的 3.9%,占残疾调整生命年数的 3.8%。本研究的目的是使用 2006-2018 年的横断面全国代表性人口与健康调查(DHS)数据,估计中低收入国家(LMICs)营养不良的流行率,并探讨区域差异的来源。我们使用了来自全球 62 个 LMICs 的 DHS 中 0-59 个月儿童的人体测量数据。身高-年龄(n=624734)、身高-体重(n=625230)和体重-年龄(n=626130)的完整信息均可用。使用随机效应模型估计发育迟缓、消瘦和体重不足的总体流行率。通过亚组荟萃分析和广义线性混合效应模型的荟萃回归探索流行率估计值的异质性来源。人类发展指数(一种基于预期寿命、识字率、受教育机会和人均国内生产总值的特定国家综合指数)和联合国区域被视为营养不良变异的潜在来源。发育迟缓的总体流行率为 29.1%(95%CI 26.7%,31.6%),消瘦的流行率为 6.3%(95%CI 4.6%,8.2%),体重不足的流行率为 13.7%(95%CI 10.9%,16.9%)。亚组分析表明,西非、南亚和东南亚的营养不良估计流行率明显高于全球平均估计值。在多变量荟萃回归中,人类发展指数和联合国区域(地理差异的代表)的组合分别解释了发育迟缓、消瘦和体重不足流行率变化的 54%、56%和 66%。我们的研究结果表明,营养不良的区域、次区域和国家差异仍然存在,为实现到 2030 年消除营养不良的第二个可持续发展目标,仍需缩小剩余差距。