Decomposing the educational inequalities in the factors associated with severe acute malnutrition among under-five children in low- and middle-income countries
Decomposing the educational inequalities in the factors associated with severe acute malnutrition among under-five children in low- and middle-income countries
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DOI：
10.1186/s12889-020-08635-3
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发表时间：
2020-04-25
影响因子：
4.5
通讯作者：
Uthman, O. A.
中科院分区：
文献类型：
--
作者：
Fagbamigbe, A. F.;Kandala, N. B.;Uthman, O. A.
研究背景中低收入国家（LMIC）仍然深受严重急性营养不良（SAM）的困扰。还没有探讨在低收入中等收入国家按个人、家庭和邻里特点对社会资产评估中的教育不平等进行分解。本研究旨在分解与教育相关的不平等发展SAM之间的五岁以下儿童在LMIC和识别的风险因素，有助于inequality.MethodsWe汇集了连续的二次数据从人口与健康调查之间进行2010年和2018年在51 LMIC。我们分析了55，823个社区内532，680名五岁以下儿童的数据。严重急性营养不良是结果变量，而母亲的识字状况是主要的暴露变量。解释变量跨越了母子对的个人、家庭和邻里因素。Oaxaca-Blinder分解法p= 0.05。结果母亲未受教育的儿童比例从亚美尼亚和吉尔吉斯共和国的0.1%到尼日尔的86.1%不等。母亲未受过教育的儿童的SAM总患病率为5.8%，而母亲受过教育的儿童的SAM总患病率为4.2%，这在每个国家都有所不同。十四个国家（喀麦隆（p
BackgroundLow- and Middle-Income Countries (LMIC) have remained plagued with the burden of severe acute malnutrition (SAM). The decomposition of the educational inequalities in SAM across individual, household and neighbourhood characteristics in LMIC has not been explored. This study aims to decompose educational-related inequalities in the development of SAM among under-five children in LMIC and identify the risk factors that contribute to the inequalities.MethodsWe pooled successive secondary data from the Demographic and Health Survey conducted between 2010 and 2018 in 51 LMIC. We analysed data of 532,680 under-five children nested within 55,823 neighbourhoods. Severe acute malnutrition was the outcome variable while the literacy status of mothers was the main exposure variable. The explanatory variables cut across the individual-, household- and neighbourhood-level factors of the mother-child pair. Oaxaca-Blinder decomposition method was used at p=0.05.ResultsThe proportion of children whose mothers were not educated ranged from 0.1% in Armenia and Kyrgyz Republic to as much as 86.1% in Niger. The overall prevalence of SAM in the group of children whose mothers had no education was 5.8% compared with 4.2% among those whose mothers were educated, this varied within each country. Fourteen countries (Cameroon(p