Determinants of Malnutrition Among Ever-married Women in Bangladesh

Authors

  • Md Abdus Salam Akanda Department of Statistics, Dhaka University, Dhaka-1000, Bangladesh
  • Most Sonia Khatun Department of Statistics, Pabna University of Science and Technology, Pabna-6600, Bangladesh
  • AHM Musfiqur Rahman Nabeen Department of Statistics, Pabna University of Science and Technology, Pabna-6600, Bangladesh

DOI:

https://doi.org/10.3329/dujs.v69i1.54618

Keywords:

Malnutrition, body mass index, multinomial logistic regression, odds ratio, Bangladesh

Abstract

Underweight and overweight problems have serious consequences on the health status of women in Bangladesh. The objective of this study is to find the important factors that may influence a woman for being underweight, overweight and obese. Multinomial logistic regression model is fitted for this purpose. The stepwise variable selection procedure is used to select covariates for the model. Information of ever-married 15,323 non-pregnant women is extracted from Bangladesh Demographic and Health Survey, 2014 data. Seven covariates (region, living place, wealth index, respondent‟s marital status, current working status, education, and current age) are selected finally for the model from the initially considered thirteen variables. The results of the study demonstrate that the women living in Sylhet region, rural area, widowed or divorced, having less education and younger age are more likely to become underweight. Conversely, the women are living in Khulna region, urban area, married, not working, having more than 10 years of schooling and age 35-49 are at higher risk of experiencing overweight or obesity. Thus, the Government of Bangladesh should take proper initiatives to improve underweight and overweight problem of women considering the findings of this study.

Dhaka Univ. J. Sci. 69(1): 7-13, 2021 (January)

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Published

2021-03-31

How to Cite

Akanda, M. A. S., Khatun, M. S., & Nabeen, A. M. R. (2021). Determinants of Malnutrition Among Ever-married Women in Bangladesh. Dhaka University Journal of Science, 69(1), 7–13. https://doi.org/10.3329/dujs.v69i1.54618

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