Department of Mathematical Sciences, University of Malawi, Zomba, Malawi.
Department of Statistics, University of Pretoria, Pretoria, South Africa.
Matern Child Health J. 2022 Nov;26(11):2346-2354. doi: 10.1007/s10995-022-03462-x. Epub 2022 Aug 10.
Consumption of unhealthy foods in children contributes to high levels of childhood obesity globally. In developing countries there is paucity of empirical studies on the association. This study employed propensity-score methods to evaluate the effect of unhealthy foods on overweight among children in Malawi using observational data.
Data on 4625 children aged 6 to 59 months from the 2015-16 Malawi Demographic and Health Survey (MDHS) were analyzed. A multivariable logistic regression model of unhealthy foods (yes or no) on purported confounders of childhood overweight was used to obtain a child's unhealthy food propensity score. The propensity scores were then used to form matched sets of healthy and unhealthy fed children. The association between unhealthy foods and childhood overweight was assessed using the conditional logistic regression model.
The prevalence of overweight (body mass index (BMI) z-score > 2 standard deviations) was estimated at 4.5% (3.8%, 5.3%). The proportion of children who consumed unhealthy foods was estimated at 14.6% (95% CI: 13.1%, 16.2%). Our propensity score matching achieved a balance in the distribution of the confounders between children in the healthy and unhealthy food groups. Children fed unhealthy foods were significantly more likely to be overweight than those fed healthy foods (OR = 2.5, 95% CI: (1.2, 5.2)).
The findings suggest the adverse effects of unhealthy foods on childhood overweight in Malawi. Thus, efforts to reduce unhealthy food consumption among children should be implemented and supported to address the problem of childhood overweight in Malawi and the sub-Saharan African region.
儿童食用不健康食品会导致全球儿童肥胖率居高不下。在发展中国家,关于这一关联的实证研究很少。本研究采用倾向评分法,利用观察性数据评估马拉维儿童食用不健康食品与超重之间的关系。
利用 2015-16 年马拉维人口与健康调查(MDHS)中 4625 名 6 至 59 个月大的儿童数据进行分析。采用多变量逻辑回归模型,对儿童超重的潜在混杂因素进行了不健康食品(是或否)的分析,得出儿童食用不健康食品的倾向评分。然后,利用这些倾向评分来形成健康和不健康喂养儿童的匹配组。利用条件逻辑回归模型评估不健康食品与儿童超重之间的关系。
超重(体重指数(BMI)z 分数>2 个标准差)的患病率估计为 4.5%(3.8%,5.3%)。食用不健康食品的儿童比例估计为 14.6%(95%可信区间:13.1%,16.2%)。我们的倾向评分匹配实现了健康和不健康食品组儿童混杂因素分布的平衡。与食用健康食品的儿童相比,食用不健康食品的儿童超重的可能性显著更高(OR=2.5,95%可信区间:(1.2,5.2))。
研究结果表明,不健康食品对马拉维儿童超重有不良影响。因此,应努力减少儿童对不健康食品的消费,以解决马拉维和撒哈拉以南非洲地区儿童超重的问题。