Latent growth analysis of children's height growth trajectories

J Dev Orig Health Dis. 2023 Apr;14(2):294-301. doi: 10.1017/S2040174422000617. Epub 2022 Nov 30.

Abstract

Characterizing and quantifying the trajectories of variables of interest through time in their field of study is of interest to a range of disciplines. The aim of this study was to investigate the growth speed in height of children and its determinants. A total of 3401 males and 3200 females from four low- and middle-income countries with measured height on five occasions from 2002 to 2016 were included in the study. Data were analyzed using a latent growth model. The results of the study reported that children in four low- and middle-income countries exhibited substantial growth inequalities. There was a significant gender difference in change of growth with males had a higher baseline, rate of change, and acceleration in height growth than females. Comparing the component of slopes across countries, the growth change inequalities were observed among children. These inequalities were statistically significant, with the highest rate of change observed in Peru and Vietnam.

Keywords: Child growth; fractional polynomial; latent trajectory; structural equation modeling.

MeSH terms

  • Body Height*
  • Child
  • Child Development*
  • Female
  • Humans
  • Male
  • Peru / epidemiology
  • Sex Factors
  • Vietnam / epidemiology