Growth Monitoring Study (GMS) dataset for the analysis on the determinants of infant growth in a birth cohort in the Nepal plains

This dataset supports a publication on the determinants of infant growth in a birth cohort in the Nepal plains.This study aimed to identify the determinants of infant growth in terms of length-for-age z-score (LAZ) in a birth cohort (<i>n</i>=602) in the plains of Nepal. Children were enrolled within 72 hours of birth and followed-up every 28 days until they were 2 years. We fitted mixed-effects linear regression models controlling for multiple measurements within individuals to examine the impact of household and maternal factors, feeding practices and infection on infant LAZ. We conducted separate analyses for the age periods 0-6 months (exclusive breastfeeding period) and 7-24 months (complementary feeding period) to check whether the importance of determinants differed by child age.The data are useful to those seeking to understand the factors associated with longitudinal changes in nutritional status in children from birth to 2 years in the plains of Nepal.

本数据集为一项针对尼泊尔平原地区出生队列中婴儿生长决定因素的研究成果发表提供支撑。本研究旨在明确该地区某出生队列（n=602）中以年龄别身长Z评分（length-for-age z-score，LAZ）为衡量指标的婴儿生长决定因素。研究对象于出生后72小时内入组，并每28天接受一次随访，直至其年满2周岁。本研究构建混合效应线性回归模型，控制个体内多次测量的混杂影响，以探究家庭与母体因素、喂养行为以及感染状况对婴儿LAZ的作用效果。此外，我们分别针对0-6月龄（纯母乳喂养阶段）与7-24月龄（辅食添加阶段）两个年龄段开展独立分析，以检验不同生长阶段下婴儿生长决定因素的重要性是否存在差异。本数据集可用于帮助研究人员理解尼泊尔平原地区儿童从出生至2周岁期间营养状况纵向变化的相关影响因素。