Evidence map›Paper›PMID 42449339›Full record

ArticleBMC public health2026

Prevalence of hypertension and diabetes in Bangladesh: identifying gaps in awareness and misinformation.

Raaj Kishore Biswas, Awan Afiaz, Md Hasibul Islam Jitu, Bushra Chowdhury, Sharmin Sultana, Ahmed Moosa, Enamul Kabir, Jahar Bhowmik, Nicholas A Koemel, Luigi Fontana

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Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Raaj Kishore BiswasCharles Perkins Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia. raaj.biswas@sydney.edu.au.
Awan AfiazDepartment of Biostatistics, University of Washington, Seattle, WA, USA.
Md Hasibul Islam JituInstitute of Statistical Research and Training, University of Dhaka, Dhaka, Bangladesh.
Bushra ChowdhuryInstitute of Statistical Research and Training, University of Dhaka, Dhaka, Bangladesh.
Sharmin SultanaNew Mexico Institute of Mining and Technology, Socorro, NM, USA.
Ahmed MoosaSNV Netherlands Development Organisation, Dhaka, Bangladesh.
Enamul KabirSchool of Science, Engineering and Digital Technologies, and Institute for Health, University of Southern Queensland, Toowoomba, Australia.
Jahar BhowmikDepartment of Biomedical, Health and Exercise Sciences, School of Health Science, Swinburne University of Technology, Melbourne, Australia.
Nicholas A KoemelCharles Perkins Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
Luigi FontanaCharles Perkins Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveNon-communicable diseases (NCDs) are a growing health burden in low- and middle-income countries, with hypertension and poor glycaemic control being key contributors. This study aimed to assess the prevalence, awareness, and misinformation surrounding hypertension and diabetes in Bangladesh, identifying high-risk groups.

methodsData from the nationally representative 2022 Bangladesh Demographic Health Survey were analysed, covering 13,344 adults aged 17-95 years. We applied complex survey weighted regression modelling, spatial analysis, and machine learning techniques to explore trends, regional disparities, and factors influencing NCD awareness.

resultsThe prevalence of hypertension (≥ 140/90 mm Hg) or diabetes (blood glucose ≥ 126 mg/dL or 7.0 mmol/L) was 31%, rising to 52% among adults aged 50 + . Notably, 17% of affected individuals in this age group were unaware of their condition. Among adults aged 50 + , 34% had undiagnosed hypertension, while 38% across all ages were unaware of their diabetes. Females developed hypertension earlier than males. Regional disparities were evident, with the highest NCD prevalence in Feni (40%), Naogaon (37%), and Natore (36%). Awareness varied by age, sex, BMI, and mobile phone ownership, which was linked to misinformation. Adults aged 30-39 had 2.11 times higher odds of unawareness (95% CI: 1.75, 2.56), rising to 5.61 times in those aged 70 + (95% CI: 4.36, 7.20) compared to those under 30. Obese individuals were 3.07 times more likely to be unaware than those classified as underweight (95% CI: 2.33, 4.05).

conclusionsThis study reveals gaps in health literacy and screening access, contributing to the escalating NCD burden in Bangladesh.

Indexed as

CommunicationDiabetes MellitusHealth Knowledge, Attitudes, PracticeHypertensionAdolescentAdultAgedAged, 80 and overBangladeshFemaleHealth SurveysHumansMaleMiddle AgedPrevalenceYoung AdultDiabetesHealth equalityHypertensionNon-communicable diseasesSocial determinants

Identifiers

PMID42449339
PMCPMC13647855

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.