Rural-Urban Differences in Prevalence and Associated Factors of Underweight and Overweight/Obesity among Bangladeshi Adults: Evidence from Bangladesh Demographic and Health Survey 2017–2018

Author:

Gupta Rajat Das1ORCID,Frank Hanna A.2,Akonde Maxwell1ORCID,Mazumder Ananna3,Siddika Nazeeba45,Apu Ehsanul Hoque5678ORCID,Chakraborty Promit Ananyo2

Affiliation:

1. Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA

2. School of Population and Public Health, University of British Columbia, Vancouver, BC V5Z 1M9, Canada

3. Jahurul Islam Medical College (JIMC), Bajitpur, Kishoreganj 2336, Bangladesh

4. Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, MI 48824, USA

5. Centre for International Public Health and Environmental Research, Bangladesh (CIPHER,B), Dhaka 1207, Bangladesh

6. Department of Biomedical Engineering, Institute of Quantitative Health Science and Engineering, Michigan State University, East Lansing, MI 48824, USA

7. Department of Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, MI 48105, USA

8. Department of Biomedical Science, College of Dental Medicine, Lincoln Memorial University, Knoxville, TN 37923, USA

Abstract

The aim of this study was to identify the differences in prevalence and associated factors of underweight and overweight/obesity among Bangladeshi adults (≥18 years) by analyzing the cross-sectional Bangladesh Demographic and Health Survey 2017–2018 data. Multilevel multivariable logistic regression was applied to identify the factors associated with underweight and overweight/obesity in urban and rural areas. The prevalence of underweight was 12.24% and 19.34% in urban and rural areas, respectively. The prevalence of overweight/obesity was 50.23% and 35.96%, respectively, in urban and rural areas. In the final multivariable analysis in both urban and rural areas, 30–49 years of age, female sex, being educated up to college or higher level, living in the wealthiest household, and being currently married or being separated/divorced/widowed had higher odds of being overweight/obese compared to other categories. Residence in the Mymensingh and Sylhet region was associated with decreased odds of overweight/obesity in urban and rural areas. On the other hand, being educated up to college or higher level, living in the wealthiest household, and being married were associated with reduced odds of being underweight in both areas. These high-risk groups should be brought under targeted health promotion programs to curb malnutrition.

Publisher

MDPI AG

Subject

General Medicine

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