Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/30247
Title: | Socioeconomic Inequalities in Women’s Undernutrition: Evidence from Nationally Representative Cross-Sectional Bangladesh Demographic and Health Survey 2017–2018 |
Authors: | Rahman, M Tariqujjaman, M Islam, MR Sheikh, SP Sultana, N Ahmed, T Ahmed, S Sarma, H |
Keywords: | undernutrition;ever-married women;inequalities;adolescent;Bangladesh |
Issue Date: | 13-Apr-2022 |
Publisher: | MDPI |
Citation: | Rahman, M. et al (2022) 'Socioeconomic Inequalities in Women’s Undernutrition: Evidence from Nationally Representative Cross-Sectional Bangladesh Demographic and Health Survey 2017–2018', International Journal of Environmental Research and Public Health, 19 (8), 4698, pp. 1 - 10. doi: 10.3390/ijerph19084698. |
Abstract: | The objective of this study was to explore the socioeconomic inequalities in undernutrition among ever-married women of reproductive age. We used nationally representative cross-sectional data from the Bangladesh Demographic and Health Survey, 2017–2018. Undernutrition was defined as a body mass index (BMI) of <18.5 kg/m2. The concentration index (C) was used to measure the socioeconomic inequality in the prevalence of women’s undernutrition. A multiple binary logistic regression model was carried out to find out the factors associated with women’s undernutrition. The prevalence of undernutrition among women of 15–49 years was 12%. Among them, 8.5% of women were from urban and 12.7% of women were from rural areas. The prevalence of undernutrition was highest (21.9%) among women who belonged to the adolescent age group (15–19 years). The C showed that undernutrition was more prevalent among the socioeconomically worst-off (poorest) group in Bangladesh (C = −0.26). An adjusted multiple logistic regression model indicated that women less than 19 years of age had higher odds (adjusted odds ratio, AOR: 2.81; 95% confidence interval, CI: 2.23, 3.55) of being undernourished. Women from the poorest wealth quintile (AOR: 3.93, 95% CI: 3.21, 4.81) had higher odds of being undernourished. On the other hand, women who had completed secondary or higher education (AOR: 0.55; 95% CI: 0.49, 0.61), married women who were living with their husbands (AOR: 0.72, 95% CI: 0.61, 0.86), and women exposed to mass media (AOR: 0.87, 95% CI: 0.79, 0.97) were less likely to be undernourished. Intervention strategies should be developed targeting the poorest to combat undernutrition in women of reproductive age in Bangladesh. |
Description: | Data Availability Statement:
Data are available in a public, open-access repository. All data related to the study are included in the manuscript. Supplementary Materials: The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ijerph19084698/s1, Figure S1: Division-wise prevalence of undernutrition in urban and rural settings; Table S1: Prevalence and association of undernutrition by sample characteristics. Acknowledgments: The authors are grateful to NIPORT, Dhaka, Bangladesh, the Government of Bangladesh, and MEASURE DHS, Calverton, MD, USA for granting permission to use the BDHS dataset. icddr,b is grateful to the Governments of Bangladesh, Canada, Sweden, and the UK for providing core/unrestricted support. |
URI: | https://bura.brunel.ac.uk/handle/2438/30247 |
DOI: | https://doi.org/10.3390/ijerph19084698 |
ISSN: | 1661-7827 |
Other Identifiers: | ORCiD: Md. Tariqujjaman https://orcid.org/0000-0002-0172-9501 ORCiD: Md. Rayhanul Islam https://orcid.org/0000-0001-8384-6180 ORCiD: Sayem Ahmed https://orcid.org/0000-0001-9499-1500 ORCiD: Haribondhu Sarma https://orcid.org/0000-0003-1553-8498 4698 |
Appears in Collections: | Dept of Health Sciences Research Papers |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
FullText.pdf | Copyright © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). | 1.41 MB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License