Decomposing the Poor-Non-Poor Gap in the Prevalence of Undiagnosed and Untreated Hypertension Among Bangladeshi Population
Objectives: Our objectives were to ascertain: the prevalence and socio-economic distribution of hypertension, as well as the rates of undiagnosed and untreated hypertension; the association between socioeconomic status (SES) and the occurrence of hypertension, as well as the rates of undiagnosed and...
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Ubiquity Press
2024-12-01
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| Series: | Global Heart |
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| Online Access: | https://account.globalheartjournal.com/index.php/up-j-gh/article/view/1372 |
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| author | Mosiur Rahman Mahfuza Khatun Asrafun Naher Pinkey Syed Emdadul Haque Farhana Akhter Liza Md. Nuruzzaman Haque Prosannajid Sarkar Tapan Kumar Roy G. M. Rabiul Islam Md. Rashed Alam Mahmudul Hasan Izzeldin Fadl Adam Nguyen Huu Chau Duc Saber Al-Sobaihi Abid Hasan |
| author_facet | Mosiur Rahman Mahfuza Khatun Asrafun Naher Pinkey Syed Emdadul Haque Farhana Akhter Liza Md. Nuruzzaman Haque Prosannajid Sarkar Tapan Kumar Roy G. M. Rabiul Islam Md. Rashed Alam Mahmudul Hasan Izzeldin Fadl Adam Nguyen Huu Chau Duc Saber Al-Sobaihi Abid Hasan |
| author_sort | Mosiur Rahman |
| collection | DOAJ |
| description | Objectives: Our objectives were to ascertain: the prevalence and socio-economic distribution of hypertension, as well as the rates of undiagnosed and untreated hypertension; the association between socioeconomic status (SES) and the occurrence of hypertension, as well as the rates of undiagnosed and untreated hypertension; and the factors influencing the poor-non-poor gap in terms of the prevalence, diagnosis, and treatment of hypertension. Design: Cross-sectional nationally representative study. Methods: Data from the 2017–18 Bangladesh Demographic Health Survey were used. 11,776 participants who were 18 years of age or older responded to our analysis. We used the wealth index as a proxy for SES. The prevalence of hypertension, both diagnosed and undiagnosed, as well as its untreated states, were the outcome variables. Results: The age-adjusted prevalence of hypertension, undiagnosed as having hypertension, and untreated cases were 25.1%, 57.2%, and 12.3%, respectively. People in the poor SES groups had a 0.88 times (95% confidence interval [CI] 0.77–0.99) lower likelihood of having hypertension compared to those in the non-poor SES group. Individuals belonging to the poor SES group exhibited a likelihood of 1.68 and 1.53 times greater for having untreated hypertension and being undiagnosed with the condition, respectively, compared to those in the non-poor SES group. The results indicated that BMI played a role in increasing the disparity between the poor and non-poor populations concerning hypertension risk. Additionally, factors such as age, gender, and education were found to exacerbate the gap in the risk of undiagnosed hypertension between these two groups. Conclusion: The results of this study suggest that appropriate policy measures be developed for ongoing care and early identification, especially for older adults, men, and individuals with low levels of education from low socioeconomic backgrounds. Additionally, efforts must be made to reduce the prevalence of overweight and obesity among people in the non-poor SES category. |
| format | Article |
| id | doaj-art-093f1f8f679d413aaf0c679a1df12165 |
| institution | Kabale University |
| issn | 2211-8179 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Ubiquity Press |
| record_format | Article |
| series | Global Heart |
| spelling | doaj-art-093f1f8f679d413aaf0c679a1df121652025-01-08T07:57:07ZengUbiquity PressGlobal Heart2211-81792024-12-01191909010.5334/gh.13721353Decomposing the Poor-Non-Poor Gap in the Prevalence of Undiagnosed and Untreated Hypertension Among Bangladeshi PopulationMosiur Rahman0https://orcid.org/0000-0002-0612-8369Mahfuza Khatun1https://orcid.org/0009-0008-1748-7333Asrafun Naher Pinkey2https://orcid.org/0009-0008-1671-5808Syed Emdadul Haque3https://orcid.org/0000-0002-9739-1225Farhana Akhter Liza4https://orcid.org/0000-0001-9248-4695Md. Nuruzzaman Haque5https://orcid.org/0000-0002-0608-0115Prosannajid Sarkar6https://orcid.org/0000-0003-0082-6382Tapan Kumar Roy7https://orcid.org/0000-0003-4314-3290G. M. Rabiul Islam8https://orcid.org/0000-0001-7748-4160Md. Rashed Alam9https://orcid.org/0000-0002-1683-0143Mahmudul Hasan10https://orcid.org/0000-0003-4422-1422Izzeldin Fadl Adam11https://orcid.org/0000-0001-7347-5136Nguyen Huu Chau Duc12https://orcid.org/0000-0002-3056-6086Saber Al-Sobaihi13https://orcid.org/0000-0002-4042-791XAbid Hasan14https://orcid.org/0000-0001-8296-7079Department of Population Science and Human Resource Development, University of Rajshahi, Rajshahi-6205Department of Population Science and Human Resource Development, University of Rajshahi, Rajshahi-6205Department of Population Science and Human Resource Development, University of Rajshahi, Rajshahi-6205Uchicago Research Bangladesh, DhakaDepartment of Population Science and Human Resource Development, University of Rajshahi, Rajshahi-6205Department of Population Science and Human Resource Development, University of Rajshahi, Rajshahi-6205Dr. Wazed Research and Training Institute, Begum Rokeya University, RangpurDepartment of Population Science and Human Resource Development, University of Rajshahi, Rajshahi-6205Department of Food Engineering and Tea Technology, Shahjalal University of Science and Technology, Sylhet, 3114Department of Population Science and Human Resource Development, University of Rajshahi, Rajshahi-6205Department of Population Science and Human Resource Development, University of Rajshahi, Rajshahi-6205Faculty of Public Health, University of KhartoumHue University of Medicine and Pharmacy, Hue UniversityPremium Research Institute for Human Metaverse Medicine (WPI-PRIMe), Osaka University, OsakaDepartment of Population Science and Human Resource Development, University of Rajshahi, Rajshahi-6205Objectives: Our objectives were to ascertain: the prevalence and socio-economic distribution of hypertension, as well as the rates of undiagnosed and untreated hypertension; the association between socioeconomic status (SES) and the occurrence of hypertension, as well as the rates of undiagnosed and untreated hypertension; and the factors influencing the poor-non-poor gap in terms of the prevalence, diagnosis, and treatment of hypertension. Design: Cross-sectional nationally representative study. Methods: Data from the 2017–18 Bangladesh Demographic Health Survey were used. 11,776 participants who were 18 years of age or older responded to our analysis. We used the wealth index as a proxy for SES. The prevalence of hypertension, both diagnosed and undiagnosed, as well as its untreated states, were the outcome variables. Results: The age-adjusted prevalence of hypertension, undiagnosed as having hypertension, and untreated cases were 25.1%, 57.2%, and 12.3%, respectively. People in the poor SES groups had a 0.88 times (95% confidence interval [CI] 0.77–0.99) lower likelihood of having hypertension compared to those in the non-poor SES group. Individuals belonging to the poor SES group exhibited a likelihood of 1.68 and 1.53 times greater for having untreated hypertension and being undiagnosed with the condition, respectively, compared to those in the non-poor SES group. The results indicated that BMI played a role in increasing the disparity between the poor and non-poor populations concerning hypertension risk. Additionally, factors such as age, gender, and education were found to exacerbate the gap in the risk of undiagnosed hypertension between these two groups. Conclusion: The results of this study suggest that appropriate policy measures be developed for ongoing care and early identification, especially for older adults, men, and individuals with low levels of education from low socioeconomic backgrounds. Additionally, efforts must be made to reduce the prevalence of overweight and obesity among people in the non-poor SES category.https://account.globalheartjournal.com/index.php/up-j-gh/article/view/1372decompositionhypertensionundiagnoseduntreatedsesbangladesh |
| spellingShingle | Mosiur Rahman Mahfuza Khatun Asrafun Naher Pinkey Syed Emdadul Haque Farhana Akhter Liza Md. Nuruzzaman Haque Prosannajid Sarkar Tapan Kumar Roy G. M. Rabiul Islam Md. Rashed Alam Mahmudul Hasan Izzeldin Fadl Adam Nguyen Huu Chau Duc Saber Al-Sobaihi Abid Hasan Decomposing the Poor-Non-Poor Gap in the Prevalence of Undiagnosed and Untreated Hypertension Among Bangladeshi Population Global Heart decomposition hypertension undiagnosed untreated ses bangladesh |
| title | Decomposing the Poor-Non-Poor Gap in the Prevalence of Undiagnosed and Untreated Hypertension Among Bangladeshi Population |
| title_full | Decomposing the Poor-Non-Poor Gap in the Prevalence of Undiagnosed and Untreated Hypertension Among Bangladeshi Population |
| title_fullStr | Decomposing the Poor-Non-Poor Gap in the Prevalence of Undiagnosed and Untreated Hypertension Among Bangladeshi Population |
| title_full_unstemmed | Decomposing the Poor-Non-Poor Gap in the Prevalence of Undiagnosed and Untreated Hypertension Among Bangladeshi Population |
| title_short | Decomposing the Poor-Non-Poor Gap in the Prevalence of Undiagnosed and Untreated Hypertension Among Bangladeshi Population |
| title_sort | decomposing the poor non poor gap in the prevalence of undiagnosed and untreated hypertension among bangladeshi population |
| topic | decomposition hypertension undiagnosed untreated ses bangladesh |
| url | https://account.globalheartjournal.com/index.php/up-j-gh/article/view/1372 |
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