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Updated: May 25, 2026

Assessment of Child Anthropometry in a Large Epidemiologic Study
09:36

Assessment of Child Anthropometry in a Large Epidemiologic Study

Published on: February 2, 2017

Factors associated with malnutrition among under five children in Bangladesh: a multivariate analysis

Md Tahidur Rahman1, Md Lotifur Rohman1, Md Jahangir Alam2

  • 1Department of Statistics and Data Science, Islamic University, Kushtia, 7003, Bangladesh.

Journal of Health, Population, and Nutrition
|May 23, 2026
PubMed

Insights

Child malnutrition in Bangladesh is linked to maternal factors and household wealth. Improving maternal education and nutrition, alongside income generation and birth spacing, can combat this public health issue.

Area of Science:

  • Public Health
  • Nutrition Science
  • Demography

Background:

  • Child malnutrition is a critical global health issue, disproportionately affecting developing nations like Bangladesh.
  • It contributes significantly to child morbidity and mortality, with lasting impacts on development and productivity.
  • Socioeconomic and demographic factors are key drivers of child malnutrition.

Purpose of the Study:

  • To identify key factors associated with child malnutrition in Bangladesh.
  • To utilize multivariate analytical approaches for a comprehensive understanding of the issue.

Main Methods:

  • Analysis of malnutrition data from the Bangladesh Demographic and Health Survey (BDHS) 2022.
  • Application of multivariate analysis of variance (MANOVA) and multivariate linear regression models.

Main Results:

  • Children aged 12-23 months showed significantly lower height-for-age (HAZ), weight-for-age (WAZ), and weight-for-height (WAH) Z-scores compared to younger children.
  • Maternal underweight was negatively correlated with all anthropometric outcomes.
  • Higher maternal education and improved household wealth were positively associated with better nutritional status.

Conclusions:

  • Prioritize enhancing maternal education and nutritional status.
  • Focus on income-generating activities for disadvantaged populations.
  • Promote adequate birth spacing to improve child nutrition outcomes.
Abstract

Keywords:
Child undernutritionMANOVAMultivariate linear regression

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