Journal of Humanities and Applied Social Sciences (Oct 2022)

Gender differences in child nutrition status of Bangladesh: a multinomial modeling approach

  • Iqramul Haq,
  • Md. Ismail Hossain,
  • Mst. Moushumi Parvin,
  • Ahmed Abdus Saleh Saleheen,
  • Md. Jakaria Habib,
  • Imru- Al-Quais Chowdhury

DOI
https://doi.org/10.1108/JHASS-02-2021-0030
Journal volume & issue
Vol. 4, no. 5
pp. 379 – 392

Abstract

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Purpose – Malnutrition is one of the serious public health problems especially for children and pregnant women in developing countries such as Bangladesh. This study aims to identify the risk factors associated with child nutrition for both male and female children in Bangladesh. Design/methodology/approach – This study was conducted among 23,099 mothers or caretakers of children under five years of age from a nationally representative survey named Bangladesh Multiple Indicator Cluster Survey, 2019. This study used chi-square test statistic for bivariate analysis and multinomial logistic regression was used to evaluate the adjusted effects of those covariates on child nutritional status. Findings – The prevalence of severely malnourished, nourishment was higher for males than females (5.3% vs 5.1%, 77.4% vs 76.8%) while moderately malnourished were higher for females (18.1% vs 17.4%). The findings from the multinomial model insinuated that the mother’s education level, wealth index, region, early child development, mother’s functional difficulties, child disability, reading children's books and diarrhea had a highly significant effect on moderate and severe malnutrition for male children. For the female children model, factors such as mother’s education level, wealth index, fever, child disability, rural, diarrhea, early child development and reading less than three books were significant for moderate and severe malnutrition. Originality/value – There is a solution to any kind of problem and malnutrition is not an exceptional health problem. So, to overcome this problem, policymakers should take effective measures to improve maternal education level, wealth status, child health.

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