Analyzing Children's Weight Growth Variations and Associated Factors in Ethiopia, India, Peru, and Vietnam: Using Fractional Polynomial Mixed-Effects Model.

IF 1.5 Q3 HEALTH CARE SCIENCES & SERVICES Ethiopian Journal of Health Sciences Pub Date : 2024-01-01 DOI:10.4314/ejhs.v34i1.4
Alemayehu Siffir Argawu, B Muniswamy, B Punyavathi
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Abstract

Background: Children's growth is increasingly considered a key mediator of later life outcomes. When examining weight growth, the correlation between repeated observations on the same subject must be regarded as well-modelled. This study aimed to analyze children's weight growth variations and associated factors in Ethiopia, India, Peru, and Vietnam using a fractional polynomial mixed-effects model.

Methods: This study used longitudinal data from the Young Lives Cohort Study conducted from 2002 to 2016 in Ethiopia, India, Peru, and Vietnam. The study included 7,140 children of 1 to 15 years old A fractional polynomial mixed-effects model was used to analyze the data.

Results: Ethiopian, Peruvian, and Vietnamese children had significantly higher average body weights than children in India (1.426, P<0.001; 1.992, P<0.001; 1.334, P<0.001, respectively). Girl children's average body weight was significantly 0.15 times less than that of boys (-0.148; P=0.027). The average weight of rural children was significantly 0.671 times less than that of urban children (0.671, P<0.001). Children from Peru and Vietnam had higher rates of weight change than those from India. However, the rate of weight change was lower in Ethiopian children than in Indian children. Children from urban areas had a significantly higher rate of weight gain than those from rural areas.

Conclusion: Country, sex, residence, parental education, household size, wealth, good drinking water, and reliable power affected children's longitudinal weight growth. Therefore, WHO and the nation's health ministry should monitor children's weight growth status and these associated factors to plan future action.

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分析埃塞俄比亚、印度、秘鲁和越南儿童体重增长变化及相关因素:使用分数多项式混合效应模型。
背景:儿童的生长发育越来越被认为是日后生活结果的一个关键中介因素。在研究体重增长时,对同一对象的重复观察之间的相关性必须被视为模型良好。本研究旨在使用分数多项式混合效应模型分析埃塞俄比亚、印度、秘鲁和越南儿童体重增长的变化及相关因素:本研究使用了 2002 年至 2016 年在埃塞俄比亚、印度、秘鲁和越南开展的 "年轻生命队列研究 "的纵向数据。研究包括 7,140 名 1 至 15 岁的儿童,采用分数多项式混合效应模型对数据进行分析:结果:埃塞俄比亚、秘鲁和越南儿童的平均体重明显高于印度儿童(1.426,PC):国家、性别、居住地、父母教育程度、家庭规模、财富、良好的饮用水和可靠的电力都会影响儿童体重的纵向增长。因此,世卫组织和国家卫生部应监测儿童的体重增长状况和这些相关因素,以规划未来的行动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Ethiopian Journal of Health Sciences
Ethiopian Journal of Health Sciences HEALTH CARE SCIENCES & SERVICES-
CiteScore
2.10
自引率
8.30%
发文量
137
审稿时长
12 weeks
期刊介绍: Ethiopian Journal of Health Sciences is a general health science journal addressing clinical medicine, public health and biomedical sciences. Rarely, it covers veterinary medicine
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