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February 2, 2026BMC Pediatrics1 citationsOpen Access

Prevalence and determinants of child malnutrition in Bangladesh: a comparative analysis of multilevel modeling

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ASAfroza Jannat SuchanaSNSyed Toukir Ahmed NoorMSMd. Rafil Tazir Shah

Key Points

  • This research aims to analyze the prevalence and factors contributing to child malnutrition in Bangladesh.
  • Utilized Generalized Linear Mixed Models (GLMM) for data analysis
  • Assessed the role of parental education and economic status
  • Evaluated the impact of maternal health and healthcare access on child nutrition
  • Identified significant associations between poor parental education and child malnutrition
  • Economic conditions were found to influence malnutrition rates
  • GLMM showed strong predictive power based on Area Under the Curve (AUC) values

Abstract

The findings emphasize the association of poor parental education, economic conditions, and maternal health with child malnutrition in Bangladesh. The GLMM demonstrated better predictive power based on AUC values across all three outcomes, making it a more reliable choice for this type of analysis. Policymakers should prioritize enhancing maternal education, household economic status, and access to healthcare services.

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Cite This Study

Suchana et al. (2026) studied this question.

synapsesocial.com/papers/6980ffd6c1c9540dea812a4fhttps://doi.org/10.1186/s12887-026-06526-x
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