Yirga Ashenafi Argaw, Mwambi Henry G, Ayele Dawit Getnet, Melesse Sileshi Fanta
School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Pietermaritzburg, Private Bag X01, Scottsville, 3209, South Africa.
Bloomberg School of Public Health, The Johns Hopkins University.
Afr Health Sci. 2019 Jun;19(2):1897-1909. doi: 10.4314/ahs.v19i2.13.
One of the public health problems in developing countries is child malnutrition. An important factor for children's well-being is good nutrition. Therefore, the malnutrition status of children under the age of five is an important outcome measure for children's health. This study uses the proportional odds model to identify risk factors associated with child malnutrition in Ethiopia using the 2016 Ethiopian Demographic and Health Survey data.
This study uses the 2016 Ethiopian Demographic and Health Survey results. Based on weight-for-height anthropometric index (Z-score) child nutrition status is categorized into four levels namely- underweight, normal, overweight and obese. Since this leads to an ordinal variable for nutrition status, an ordinal logistic regression (OLR)proportional odds model (POM) is an obvious choice for analysis.
The findings and comparison of results using the cumulative logit model with and without complex survey design are presented. The study results revealed that to produce the appropriate estimates and standard errors for data that were obtained from complex survey design, model fitting based on taking the survey sampling design into account is better. It has also been found that for children under the age of five, weight of a child at birth, mother's age, mother's Body Mass Index (BMI), marital status of mother and region (Affar, Dire Dawa, Gambela, Harari and Somali) were influential variables significantly associated with underfive children's nutritional status in Ethiopia.
This child's age of a child, sex, weight of child at birth, mother's BMI and region of residence were significant determinants of malnutrition of children under five years in Ethiopia. The effect of these determinants can be used to develop strategies for reducing child malnutrition in Ethiopia. Moreover, these findings show that OLR proportional odds model is appropriate assessing thedeterminants of malnutrition for ordinal nutritional status of underfive children in Ethiopia.
发展中国家的公共卫生问题之一是儿童营养不良。良好的营养是儿童幸福的一个重要因素。因此,五岁以下儿童的营养不良状况是衡量儿童健康的一项重要指标。本研究使用比例优势模型,利用2016年埃塞俄比亚人口与健康调查数据,确定与埃塞俄比亚儿童营养不良相关的风险因素。
本研究采用2016年埃塞俄比亚人口与健康调查结果。根据身高体重人体测量指数(Z评分),儿童营养状况分为四个等级,即体重不足、正常、超重和肥胖。由于这导致了营养状况的有序变量,有序逻辑回归(OLR)比例优势模型(POM)是分析的明显选择。
呈现了使用累积对数模型在有和没有复杂调查设计的情况下的研究结果及结果比较。研究结果表明,为从复杂调查设计中获得的数据生成适当的估计值和标准误差,基于考虑调查抽样设计的模型拟合更好。还发现,对于五岁以下儿童,出生时儿童的体重、母亲年龄、母亲的体重指数(BMI)、母亲的婚姻状况和地区(阿法尔、德雷达瓦、甘贝拉、哈拉里和索马里)是与埃塞俄比亚五岁以下儿童营养状况显著相关的影响变量。
儿童的年龄、性别、出生时儿童的体重、母亲的BMI和居住地区是埃塞俄比亚五岁以下儿童营养不良的重要决定因素。这些决定因素的影响可用于制定减少埃塞俄比亚儿童营养不良的策略。此外,这些发现表明,OLR比例优势模型适用于评估埃塞俄比亚五岁以下儿童有序营养状况的营养不良决定因素。