注意差距:在中低收入国家,5 岁以下儿童中严重消瘦的贫困-非贫困不平等现象的原因是什么?构成和结构特征。
Mind the gap: What explains the poor-non-poor inequalities in severe wasting among under-five children in low- and middle-income countries? Compositional and structural characteristics.
机构信息
Department of Epidemiology and Medical Statistics, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Division of Health Sciences, Populations, Evidence and Technologies Group, University of Warwick, Coventry, United Kingdom.
出版信息
PLoS One. 2020 Nov 3;15(11):e0241416. doi: 10.1371/journal.pone.0241416. eCollection 2020.
A good understanding of the poor-non-poor gap in childhood development of severe wasting (SW) is a must in tackling the age-long critical challenge to health outcomes of vulnerable children in low- and middle-income countries (LMICs). There is a dearth of information about the factors explaining differentials in wealth inequalities in the distribution of SW in LMICs. This study is aimed at quantifying the contributions of demographic, contextual and proximate factors in explaining the poor-non-poor gap in SW in LMICs. We pooled successive secondary data from the Demographic and Health Survey conducted between 2010 and 2018 in LMICs. The final data consist of 532,680 under-five children nested within 55,823 neighbourhoods from 51 LMICs. Our outcome variable is having SW or not among under-five children. Oaxaca-Blinder decomposition was used to decipher poor-non-poor gap in the determinants of SW. Children from poor households ranged from 37.5% in Egypt to 52.1% in Myanmar. The overall prevalence of SW among children from poor households was 5.3% compared with 4.2% among those from non-poor households. Twenty-one countries had statistically significant pro-poor inequality (i.e. SW concentrated among children from poor households) while only three countries showed statistically significant pro-non-poor inequality. There were variations in the important factors responsible for the wealth inequalities across the countries. The major contributors to wealth inequalities in SW include neighbourhood socioeconomic status, media access, as well as maternal age and education. Socio-economic factors created the widest gaps in the inequalities between the children from poor and non-poor households in developing SW. A potential strategy to alleviate the burden of SW is to reduce wealth inequalities among mothers in the low- and middle-income countries through multi-sectoral and country-specific interventions with considerations for the factors identified in this study.
要解决长期以来中低收入国家(LMICs)弱势儿童健康结果面临的严峻挑战,必须深入了解儿童严重消瘦(SW)发育方面的贫-非贫差距。关于解释 SW 在 LMICs 中财富不平等分布差异的因素,相关信息十分匮乏。本研究旨在定量分析人口、环境和近因因素对解释 LMICs 中 SW 的贫-非贫差距的作用。我们汇总了 2010 年至 2018 年期间在 LMICs 进行的人口与健康调查中的连续二次数据。最终数据包含来自 51 个 LMICs 的 532680 名五岁以下儿童,以及嵌套在其中的 55823 个社区。我们的结果变量是五岁以下儿童中是否存在 SW。我们采用 Oaxaca-Blinder 分解法来解析 SW 决定因素中的贫-非贫差距。来自贫困家庭的儿童比例从埃及的 37.5%到缅甸的 52.1%不等。来自贫困家庭的儿童中 SW 的总体患病率为 5.3%,而非贫困家庭的儿童中这一比例为 4.2%。有 21 个国家的 SW 呈明显有利于贫困的不平等(即 SW 集中在贫困家庭的儿童中),而只有 3 个国家显示有利于非贫困的不平等。各国之间导致财富不平等的重要因素存在差异。导致 SW 财富不平等的主要因素包括社区社会经济地位、媒体获取、以及母亲年龄和教育。社会经济因素在发展中国家 SW 中造成了贫困和非贫困家庭儿童之间不平等的最大差距。通过多部门和针对具体国家的干预措施,减轻 SW 负担的潜在策略是通过考虑本研究确定的因素,减少 LMICs 中母亲之间的财富不平等。