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.
Department of Mathematics, Physics & Electrical Engineering (MPEE), Northumbria University, Newcastle, United Kingdom.
Nutrition. 2020 Jul-Aug;75-76:110768. doi: 10.1016/j.nut.2020.110768. Epub 2020 Feb 14.
Malnutrition is one of the main reasons for death among children <5 years of age in low- and middle-income countries (LMICs). It accounts for about one-third of preventable deaths among children. Reduction of malnutrition, especially severe acute malnutrition (SAM), is critical, directly or indirectly, to a targeted decrease in child mortality and improvement in maternal health. It would also help achieve sustainable development goal 2 (improvement of nutrition across the board) and sustainable development goal 3 (ensuring healthy lives and well-being promotion for all at all ages). The aim of this study was to develop and test a model of risk factors associated with SAM among under-5 children in LMICs.
We used 51 recent demographic and health-surveys, cross-sectional, nationally representative data collected between 2010 and 2018 in LMICs. We used multivariable Bayesian logistic multilevel regression models to analyze the association between individual compositional and contextual risk factors associated with SAM. We analyzed information on 532 680 under-5 children (level 1) nested within 55 823 communities (level 2) from 51 LMICs (level 3).
The prevalence of SAM ranged from 0.1% in both Guatemala and Peru to 9.9% in Timor-Leste. Male children, infants, low birth weight children, children whose mothers had no formal education, those from poorer households, and those with no access to any media were more likely to have SAM. Additionally, children from rural areas, neighborhoods with high illiteracy and high unemployment rates, and those from countries with high intensity of deprivation and high rural population percentage were more likely to have SAM.
Individual compositional and contextual factors were significantly associated with SAM. Attainment of sustainable development goals 1, 4, and 10 will automatically contribute to the eradication of SAM, which in turn leads to the attainment of sustainable development goals 2 and 3. These findings underscore the need to revitalize existing policies and implement interventions to rescue and prevent children from having SAM at the individual, community, and societal levels in LMICs.
在中低收入国家(LMICs),营养不良是 5 岁以下儿童死亡的主要原因之一。它约占儿童可预防死亡人数的三分之一。减少营养不良,特别是严重急性营养不良(SAM),对于有针对性地降低儿童死亡率和改善产妇健康至关重要。它还有助于实现可持续发展目标 2(全面改善营养)和可持续发展目标 3(确保所有年龄段所有人的健康生活和福祉促进)。本研究旨在开发和测试与 LMICs 中 5 岁以下儿童 SAM 相关的风险因素模型。
我们使用了 51 项最近的人口和健康调查,这些调查是在 2010 年至 2018 年期间在 LMICs 中进行的具有代表性的横断面研究。我们使用多变量贝叶斯逻辑多层回归模型来分析与 SAM 相关的个体组成和背景风险因素之间的关联。我们分析了来自 51 个 LMICs(第 3 层)的 55823 个社区(第 2 层)内的 532680 名 5 岁以下儿童(第 1 层)的信息。
SAM 的患病率从危地马拉和秘鲁的 0.1%到东帝汶的 9.9%不等。男童、婴儿、低出生体重儿童、母亲未受过正规教育的儿童、来自贫困家庭的儿童以及无法接触任何媒体的儿童更有可能患有 SAM。此外,来自农村地区、文盲率和失业率高的社区以及资源匮乏程度高和农村人口比例高的国家的儿童更有可能患有 SAM。
个体组成和背景因素与 SAM 显著相关。可持续发展目标 1、4 和 10 的实现将自动有助于消除 SAM,这反过来又将导致可持续发展目标 2 和 3 的实现。这些发现强调需要振兴现有政策并实施干预措施,以在 LMICs 中从个人、社区和社会层面挽救和预防儿童出现 SAM。