Siddiquee, T.; Ahmed, S.E. Uncovering Undiagnosed Hypertension Rates in Bangladeshi Adults: Insights from Advanced Statistical Models. Preprints2023, 2023121619. https://doi.org/10.20944/preprints202312.1619.v1
APA Style
Siddiquee, T., & Ahmed, S.E. (2023). Uncovering Undiagnosed Hypertension Rates in Bangladeshi Adults: Insights from Advanced Statistical Models. Preprints. https://doi.org/10.20944/preprints202312.1619.v1
Chicago/Turabian Style
Siddiquee, T. and Syed Ejaz Ahmed. 2023 "Uncovering Undiagnosed Hypertension Rates in Bangladeshi Adults: Insights from Advanced Statistical Models" Preprints. https://doi.org/10.20944/preprints202312.1619.v1
Abstract
Hypertension stands as the foremost modifiable risk factor for cardiovascular disorders in South Asia. This research demonstrates the superiority of statistical models over traditional approaches in identifying clinical risks related to hypertension. Leveraging individual-level data from the Bangladesh Demographic and Health Survey (2017-18), a unified dataset was created. Adhering to JNC7 and ACC/AHA guidelines for hypertension classification, two prominent regression models were employed to estimate the prevalence of undiagnosed hypertension. A substantial 16% of hypertension cases in Bangladesh remain undetected. The study identifies undiagnosed hypertension as a heightened risk, particularly among the youth and residents of Sylhet and Rangpur divisions. Statistical models exhibit efficacy in discerning undiagnosed hypertension and associated factors in South Asia. Subsequent investigations should incorporate biological markers to enhance statistical models and ascertain their practicality.
Public Health and Healthcare, Public Health and Health Services
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
