School of Medicine and Dentistry, Griffith University, Gold Coast, Queensland, Australia.
Menzies Health Institute Queensland, Griffith University, Gold Coast, Queensland, Australia.
J Glob Health. 2023 Aug 4;13:04077. doi: 10.7189/jogh.13.04077.
Past studies have identified determinants of growth failure (GF) such as socio-economic, nutritional, parenting, and inequality factors. However, few studies investigate the numerous causes of GF across multiple countries. By analysing the data of children under five in 25 low and middle-income countries, this study aims to examine the correlations of determinants with GF to identify the strongest modifiable risk factors.
Cross-sectional study design was used, and data were collected across 25 LMICs by the United Nations Children's Fund in 2019. Regions and households were randomly selected in participating LMICs. The four outcome measures were stunting, wasting, underweight and low body mass index (BMI).
Multilevel analysis was performed to identify the impact of country, suburb, and household levels on the variance of outcome variables. GF measures were significantly correlated with low gross domestic product (GDP) per capita (odds ratio (OR) = 2.482), rural areas (OR = 1.223), lack of health insurance (OR = 1.474), low maternal education (OR = 2.260), lack of plain water (OR = 1.402), poor maternal physical caregiving ability (OR = 1.112), low carbohydrate consumption (OR = 1.470), and continued breastfeeding in children >12 months old (OR = 0.802).
By identifying key GF risk factors, this study may provide valuable insights for policymaking and interventions. This may allow the prioritisation of resources within countries for preventative measures to be developed.
过去的研究已经确定了生长发育迟缓(GF)的决定因素,如社会经济、营养、育儿和不平等因素。然而,很少有研究调查多个国家GF 的众多原因。通过分析 25 个低收入和中等收入国家 5 岁以下儿童的数据,本研究旨在研究决定因素与 GF 的相关性,以确定最强的可改变的危险因素。
本研究采用横断面研究设计,2019 年由联合国儿童基金会在 25 个中低收入国家收集数据。在参与的中低收入国家中,随机选择地区和家庭。四个结局指标是发育迟缓、消瘦、体重不足和低体重指数(BMI)。
多水平分析用于确定国家、郊区和家庭层面对结局变量方差的影响。GF 测量值与低人均国内生产总值(GDP)(比值比(OR)=2.482)、农村地区(OR=1.223)、缺乏健康保险(OR=1.474)、母亲受教育程度低(OR=2.260)、缺乏淡水(OR=1.402)、母亲身体照顾能力差(OR=1.112)、碳水化合物摄入量低(OR=1.470)和 12 个月以上儿童持续母乳喂养(OR=0.802)显著相关。
通过确定关键的 GF 危险因素,本研究可能为决策和干预提供有价值的见解。这可能使各国能够优先考虑资源,制定预防措施。