» Articles » PMID: 28510585

The Prevalence of Underweight, Overweight and Obesity in Bangladeshi Adults: Data from a National Survey

Overview
Journal PLoS One
Date 2017 May 17
PMID 28510585
Citations 86
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Over the two last decades Bangladesh, a low-income country, has experienced a rapid demographic and epidemiological transition. The population has increased substantially with rapid urbanization and changing pattern of disease, which at least in part, can be explained by nutritional changes. However, the nutritional status of the adult population has not been previously described. Hence, the objective of this study was to estimate the prevalence and explore socio-demographic determinants of underweight, overweight and obesity among the Bangladeshi adult population.

Methods: This study is a secondary data analysis of the national 2011 Bangladesh Demographic and Health Survey. We determined the nutritional status of adults aged ≥35 years of age, who had a measured weight and height, using the Asian body mass index (BMI) cut-offs for underweight (BMI <18.5 kg/m2), overweight (BMI 23 to <27.5 kg/m2) and obesity (BMI ≥27.5 kg/m2). Logistic regression modeling was used to determine the association between socio-demographic factors and nutritional status.

Result: Of total sample (n = 5495), 30.4% were underweight, 18.9% were overweight and 4.6% were obese. Underweight was associated with age, education and wealth. The adjusted odd ratios for underweight were higher for older people (≥70 years) compared to younger, the least educated compared to the most educated and the poorest compared to the wealthiest were 2.51 (95%CI: 1.95-3.23, p<0.001), 3.59 (95%CI: 2.30-5.61, p<0.001) and 3.70 (95%CI: 2.76-4.96, p<0.001), respectively. Younger age (35-44 years), being female, higher education, wealthier and living in urban areas were associated with overweight/obesity with adjusted odds ratios of 1.73 (95%CI: 1.24-2.41, p<0.001), 2.48 (95%CI: 1.87-3.28, p<0.001), 3.98 (95%CI: 2.96-5.33, p<0.001), 7.14 (95%CI: 5.20-9.81, p<0.001) 1.27 (95%CI: 1.05-1.55, p-0.02), respectively.

Conclusion: Underweight and overweight/obesity are prevalent in Bangladeshi adults. Both conditions are associated with increased morbidity and mortality and increase the risk of developing non-communicable diseases. Effective public health intervention approaches are necessary to address both these conditions.

Citing Articles

Assessment of anthropogenic activities impact based on metals in soil and tree leaves along roadside in Bangladesh.

Anwar A, Mezbah Uddin A, Hasan M, Parvez M, Sipos B, Bibi D Sci Rep. 2025; 15(1):6960.

PMID: 40011758 PMC: 11865477. DOI: 10.1038/s41598-025-91683-9.


University Students' Sociodemographics, Physical Inactivity, and Inadequate and Poor-Quality Sleep Are Associated With Their Overweight/Obesity: Findings From a Case-Control Study in Bangladesh.

Banna M, Hamiduzzaman M, Akter S, Seidu A, Begum A, Yeasmin N Health Sci Rep. 2025; 8(2):e70454.

PMID: 39957972 PMC: 11825981. DOI: 10.1002/hsr2.70454.


Wealth-based inequality in underweight among Scheduled Tribe women in India: a regional analysis.

Singh A, Singh A, Chakrabarty M, Singh S, Tripathi P Int J Equity Health. 2025; 24(1):27.

PMID: 39849479 PMC: 11756192. DOI: 10.1186/s12939-025-02392-8.


Designing Front-of-Package Labels to Inform Consumers and Encourage Healthier Food Choices in Bangladesh: A Qualitative Study.

Smith Taillie L, Abrar A, Afroza U, Akhtar J, Noe V, Ide N Nutrients. 2024; 16(23).

PMID: 39683383 PMC: 11642975. DOI: 10.3390/nu16233989.


Elucidating macrophage scavenger receptor 1's mechanistic contribution as a shared molecular mediator in obesity and thyroid cancer pathogenesis via bioinformatics analysis.

Shang F, Xu Z, Wang H, Xu B, Li N, Zhang J Front Genet. 2024; 15:1483991.

PMID: 39502334 PMC: 11534819. DOI: 10.3389/fgene.2024.1483991.


References
1.
. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet. 2004; 363(9403):157-63. DOI: 10.1016/S0140-6736(03)15268-3. View

2.
Ahsan Karar Z, Alam N, Streatfield P . Epidemiological transition in rural Bangladesh, 1986-2006. Glob Health Action. 2009; 2. PMC: 2779938. DOI: 10.3402/gha.v2i0.1904. View

3.
Nube M, Van Den Boom G . Gender and adult undernutrition in developing countries. Ann Hum Biol. 2003; 30(5):520-37. DOI: 10.1080/0301446031000119601. View

4.
Popkin B, Adair L, Ng S . Global nutrition transition and the pandemic of obesity in developing countries. Nutr Rev. 2012; 70(1):3-21. PMC: 3257829. DOI: 10.1111/j.1753-4887.2011.00456.x. View

5.
Akter S, Rahman M, Abe S, Sultana P . Nationwide survey of prevalence and risk factors for diabetes and prediabetes in Bangladeshi adults. Diabetes Care. 2013; 37(1):e9-e10. DOI: 10.2337/dc13-1647. View