{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,24]],"date-time":"2026-08-24T22:54:31Z","timestamp":1787612071727,"version":"build-2736575974"},"reference-count":44,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2025,8,19]],"date-time":"2025-08-19T00:00:00Z","timestamp":1755561600000},"content-version":"vor","delay-in-days":18,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Health Science Reports"],"published-print":{"date-parts":[[2025,8]]},"abstract":"<jats:title>ABSTRACT<\/jats:title><jats:sec><jats:title>Background and Aims<\/jats:title><jats:p>Diabetes mellitus (DM) and hypertension (HT) are major global health concerns, with a rising prevalence worsened by the COVID\u201019 pandemic. The interplay between these chronic conditions and COVID\u201019 presents a unique public health challenge, particularly in low\u2010 and middle\u2010income countries such as Bangladesh. This study aimed to (1) determine the prevalence of DM and HT among individuals affected by COVID\u201019 pandemic in Rajshahi Division, Bangladesh, and (2) explore associations with sociodemographic and biological factors.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>This cross\u2010sectional study was conducted in the Rajshahi Division of Bangladesh between April and August 2021. Data was collected from 390 COVID\u201019\u2010positive patients using a structured questionnaire and physical measurements, focusing on sociodemographic and biological factors associated with DM and HT. Logistic regression analyses were performed to identify significant risk factors.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Among participants, 12.05% had DM, 15.89% had HT, and 7.95% had both. Older age (\u2009&gt;\u200950 years) was significantly associated with higher prevalence of both conditions (<jats:italic>p<\/jats:italic>\u2009&lt;\u2009\u202f0.001). Females were more likely to have DM (16.6% vs. 9.2%), HT (19.2% vs. 13.8%), and both (10.6% vs. 6.3%) than males (<jats:italic>p<\/jats:italic>\u2009&lt;\u2009\u202f0.05). Private or self\u2010employed individuals had a significantly higher risk of both DM and HT (RRR: 7.66, 95% CI: 4.26\u201312.37, <jats:italic>p<\/jats:italic>\u2009&lt;\u2009\u202f0.001). Obesity (BMI\u2009\u2265\u200925) was linked to increased prevalence of DM (13.2%), HT (21.0%), and both (10.2%). Elevated SBP and DBP were strongly associated with comorbidity (<jats:italic>p<\/jats:italic>\u2009&lt;\u2009\u202f0.001), and tobacco use increased the odds of DM (AOR: 2.45, 95% CI: 1.13\u20135.29, <jats:italic>p<\/jats:italic>\u2009=\u2009\u202f0.02).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Targeted interventions, such as community\u2010based education, improved chronic disease management, and culturally tailored strategies, are recommended to address these conditions effectively. Strengthening healthcare infrastructure and conducting longitudinal research to explore causal pathways will be critical in mitigating the impact of these comorbidities and improving pandemic preparedness in resource\u2010limited settings.<\/jats:p><\/jats:sec>","DOI":"10.1002\/hsr2.71183","type":"journal-article","created":{"date-parts":[[2025,8,20]],"date-time":"2025-08-20T05:26:11Z","timestamp":1755667571000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Prevalence of Diabetes Mellitus and Hypertension Among COVID\u201019 Patients: A Cross\u2010Sectional Study Exploring Associations With Sociodemographic and Biological Factors in Rajshahi Division, Bangladesh"],"prefix":"10.1002","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2460-7694","authenticated-orcid":false,"given":"Al Muktadir","family":"Munam","sequence":"first","affiliation":[{"name":"Department of Community Health and Epidemiology Dalhousie University Halifax Nova Scotia Canada"},{"name":"Department of Computer Science &amp; Engineering Varendra University Rajshahi Bangladesh"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9081-5905","authenticated-orcid":false,"given":"Ahammad","family":"Hossain","sequence":"additional","affiliation":[{"name":"Department of Computer Science &amp; Engineering Varendra University Rajshahi Bangladesh"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2025,8,19]]},"reference":[{"key":"e_1_2_13_2_1","doi-asserted-by":"publisher","DOI":"10.3390\/healthcare12181812"},{"key":"e_1_2_13_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2024.3350087"},{"key":"e_1_2_13_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/s43545-023-00700-z"},{"key":"e_1_2_13_5_1","unstructured":"WHO. 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