Verma Pradyuman, Prasad Jang Bahadur
Department of Epidemiology and Biostatistics, KLE Academy of Higher Education and Research, Belagavi, Karnataka, India.
Indian J Community Med. 2022 Oct-Dec;47(4):571-578. doi: 10.4103/ijcm.ijcm_230_22. Epub 2022 Dec 14.
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.
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.
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.
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.
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。
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。
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。
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。