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使用统计模型对印度东部地区5岁以下儿童的生长预测

Growth Prediction of Under-5 Children Using Statistical Models for Eastern Region of India.

作者信息

Verma Pradyuman, Prasad Jang Bahadur

机构信息

Department of Epidemiology and Biostatistics, KLE Academy of Higher Education and Research, Belagavi, Karnataka, India.

出版信息

Indian J Community Med. 2022 Oct-Dec;47(4):571-578. doi: 10.4103/ijcm.ijcm_230_22. Epub 2022 Dec 14.

Abstract

BACKGROUND

Percentile curves are often used to assess variances in children's growth pattern. This study is aimed at explaining effect of the respondents' sociodemographic characteristics on under-5 children's birth weight and identifying most suitable models, out of 11 statistical models reviewed, for estimating children's growth in terms of height and weight of a given birth-weight category and obtain estimated growth curves.

MATERIAL AND METHODS

The study used National Family Health Survey (NFHS)-4 data from four Eastern States of India, consisting of 54,075 under-5 children. Estimated growth curves were obtained, using best-fit models.

RESULTS

Birth weight was found to be associated with children's age, gender, birth order, body mass index, mother's education, living place and wealth index. Two models - - showed best fit to the height and weight measurements. We obtained estimated growth curves of boys and girls for a given birth-weight category.

CONCLUSIONS

All socio-demographic factors studied, except respondent's occupation, were associated with children's birth weight. were most suitable for assessing growth in terms of height and weight of boys and girls, belonging to a given birth-weight category.

摘要

背景

百分位数曲线常用于评估儿童生长模式的差异。本研究旨在解释受访者的社会人口学特征对5岁以下儿童出生体重的影响,并从11种经审查的统计模型中确定最适合的模型,以根据给定出生体重类别的儿童身高和体重来估计其生长情况,并获得估计生长曲线。

材料与方法

本研究使用了来自印度东部四个邦的第四次全国家庭健康调查(NFHS-4)数据,其中包括54,075名5岁以下儿童。使用最佳拟合模型获得估计生长曲线。

结果

发现出生体重与儿童的年龄、性别、出生顺序、体重指数、母亲教育程度、居住地点和财富指数有关。两种模型——显示出对身高和体重测量的最佳拟合。我们获得了给定出生体重类别的男孩和女孩的估计生长曲线。

结论

除受访者职业外,所有研究的社会人口学因素均与儿童出生体重有关。对于属于给定出生体重类别的男孩和女孩,在评估身高和体重方面的生长情况时最为合适。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b28a/9891046/d55daa7536bc/IJCM-47-571-g002.jpg

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