Author
Listed:
- Md. Akhtaruzzaman Limon
(University of Rajshahi, Department of Statistics)
- Abu Sayed Md. Al Mamun
(University of Rajshahi, Department of Statistics)
- Kumkum Yeasmin
(University of Rajshahi, Department of Statistics)
- Md. Moidul Islam
(University of Rajshahi, Department of Statistics)
- Md. Golam Hossain
(University of Rajshahi, Department of Statistics)
Abstract
Bangladesh is undergoing a nutrition transition associated with rapid social and economic transitions giving rise to the double burden of the malnutrition phenomenon. It is essential to investigate the household study of malnutrition among mother and under-five child pairs. The objective of this study was to determine the prevalence and risk factors of malnutrition among mother and under-five child pairs at the same household in Bangladesh. Secondary data from the BDHS-2014 was used in this study. The sample population of this study consisted of 7,368 married, currently non-pregnant Bangladeshi women with their under-five child. Descriptive statistics, Chi-square tests, and two-level binary logistic regression model were used in this study. The prevalence of underweight mother and under-five child pairs was 22.0%, and the prevalence of overweight mother and underweight child was near to 10%. It was found that only less than 20 percent (19.6%) mother and child pairs was found to be of normal weight (healthy). The two-level binary logistic model showed that division, type of residence, parents’ education, household wealth index, mothers’ age, and child birth weight are found to be risk factors of under nutrition among mother and under-five child pairs. Our selected model identified the risk factors of under nutrition among mother and under-five child pairs in Bangladesh. These factors can be considered for reducing the number of malnutrition among mother and under-five child pairs in Bangladesh.
Suggested Citation
Md. Akhtaruzzaman Limon & Abu Sayed Md. Al Mamun & Kumkum Yeasmin & Md. Moidul Islam & Md. Golam Hossain, 2021.
"Two Level Logistic Regression Analysis of Factors Influencing Dual Form of Malnutrition in Mother–Child Pairs: A Household Study in Bangladesh,"
Springer Books, in: Bikas Kumar Sinha & Md. Nurul Haque Mollah (ed.), Data Science and SDGs, pages 45-54,
Springer.
Handle:
RePEc:spr:sprchp:978-981-16-1919-9_4
DOI: 10.1007/978-981-16-1919-9_4
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