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Dataset Information

Joint modelling of anthropometric child undernutrition indicators to identify their risk factors in Bangladesh: evidence from the Multiple Indicator Cluster Survey (MICS) 2019.


ABSTRACT:

Objective

Stunting, wasting and underweight are the three widely recognised indicators of child undernutrition. This study aimed to simultaneously model all indicators while accounting for their association using a joint modelling technique to identify their risk factors.

Design

This was a cross-sectional study design.

Setting

The anthropometric data of children were elicited from the Bangladesh Multiple Indicator Cluster Survey (MICS) 2019.

Main outcome measures

Stunting, wasting and underweight were the main outcome measures of child undernutrition. Initially, a generalised linear mixed model (GLMM) was developed for each indicator separately to identify the underlying risk factors by considering children within the cluster (district level) as hierarchically

SUBMITTER: Amin R 

PROVIDER: S-EPMC12265825 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature