Evidence map›Paper›PMID 42281582›Full record

ArticleHealth science reports2026

Investigation of Risk Factors Related to Stroke in the Bangladeshi Population: A Cross-Sectional Study.

Murshadul Alam Murad, Abdul Kuddus, Sakib Al Hasan, Md Ismail Hossain Ashik, Sajib Ghosh, Sharmin Sultana, Safia Rashid Priya, Md Akon Bin Kawsar, Rayhan Uddin, Mohitosh Biswas

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Article in Health science reports, 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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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Murshadul Alam MuradDepartment of Pharmacy University of Rajshahi Rajshahi Bangladesh.ORCID https://orcid.org/0009-0006-6113-0687
Abdul KuddusDepartment of Pharmacy University of Rajshahi Rajshahi Bangladesh.
Sakib Al HasanDepartment of Pharmacy University of Rajshahi Rajshahi Bangladesh.
Md Ismail Hossain AshikDepartment of Pharmacy University of Rajshahi Rajshahi Bangladesh.
Sajib GhoshDepartment of Pharmacy University of Rajshahi Rajshahi Bangladesh.
Sharmin SultanaDepartment of Pharmacy University of Rajshahi Rajshahi Bangladesh.
Safia Rashid PriyaDepartment of Pharmacy University of Rajshahi Rajshahi Bangladesh.
Md Akon Bin KawsarDepartment of Pharmacy University of Rajshahi Rajshahi Bangladesh.
Rayhan UddinDepartment of Pharmacy University of Rajshahi Rajshahi Bangladesh.
Mohitosh BiswasDepartment of Pharmacy University of Rajshahi Rajshahi Bangladesh.ORCID https://orcid.org/0000-0003-1432-7701

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Bangladesh faces a rise in stroke, with a prevalence of stroke up to 11.4 per thousand. Almost 90% of the attributable risk of stroke is linked to the modifiable risk factors, and proper identification and control of these factors significantly decreases stroke incidence. However, to date, no study in the Bangladeshi population has compared the 5- and 10-year risk of stroke to identify the critical risk factors. This study aimed to bridge that knowledge gap. Methods: A cross-sectional study was designed incorporating the questionnaire of the Stroke Riskometer application and other known risk factors of stroke. Data were collected from 158 adults of Rajshahi region and fed to the application to predict the 5- and 10-year risk profiles. Mann-Whitney Results: Among 158 individuals, (mean age 47.5 ± 8.7 years; 59.5% male) it was observed that several risk factors for example, mean BMI, 25.8 ± 3.9 kg/m Conclusion: The reduction of identified risk factors through adequate research and mass awareness is imperative for effective stroke prevention.

Indexed as

Bangladeshi populationpredictionrisk factorsstrokeStroke Riskometer

Identifiers

PMID42281582
PMCPMC13250457

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