Latent classes of anthropometric growth in early childhood using uni- and multivariate approaches in a South African birth cohort.

ABSTRACT:

Background

Defining growth patterns during childhood is key to identifying future health risk and vulnerable periods for potential interventions. The aim of this study was to identify growth profiles in children from birth to five years in a South African birth cohort, the Drakenstein Child Health Study (DCHS) using a Latent Class Mixed Modelling (LCMM) approach.

Methods

LCMM was used to identify underlying latent profiles of growth for univariate responses of standardized height, standardized weight, standardized body mass index and standardized weight-for-length/height measurements and multivariate response of joint standardized height and standardized weight measurements from birth to five years for a sample of 1143 children from a South African birth cohort, the Drakenst

SUBMITTER: van Biljon N 

PROVIDER: S-EPMC11936193 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature