BRIEF RESEARCH REPORT article
Front. Cardiovasc. Med.
Sec. Hypertension
Volume 12 - 2025 | doi: 10.3389/fcvm.2025.1357791
The Two-Stage Exploratory Association between Hypertension and Physical Examinations -A Community-based Biobank Study
Provisionally accepted
- 1Asia University, Taichung, Taiwan
- 2Asia University Hospital, Taichung, Taiwan
- 3China Medical University Hospital, Taichung, Taiwan
- 4China Medical University (Taiwan), Taichung, Taiwan
- 5Chia Nan University of Pharmacy and Science, Tainan, Tainan County, Taiwan
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Introduction: Hypertension is one of the most critical public health problems in developing countries and a leading cause of mortality and disability. Relevant extrapolations show that the global adult population with high blood pressure will increase significantly. This study utilizes partial data from the Taiwan Biobank to explore the association between clinical examinations and hypertension-related morbidities. Methods: Data for this study were sourced from the Taiwan Biobank, which has collected health data since 2012 and serves as a partial source for scientific research into lifestyle and health trends of cardiovascular-related diseases in the general population. This study focused on distinguishing the correlation between blood pressure changes and stability in various age groups and exploring the relationship between environmental exposure factors and health behaviors through stratified analysis. Results: The comorbidities identified as significant risk factors for hypertension include hyperlipidemia (Odds Ratio, ORs, 4.0504) and diabetes (ORs, 2.1871). Clinical biochemistry examinations also indicated classifiers for hypertension, such as age, heart rate, triglycerides, high-density lipoprotein cholesterol, hyperlipidemia, and diabetes, which were represented as explanatory indicators (The area under the receiver operating characteristic curve, AUROC, 0.8769). These findings underscore the potential of clinical examinations to predict and prevent hypertension. Conclusion: This study suggested the possibility of developing a risk assessment tool based on these classifiers and investigated the generalizability of these findings using biobank resources. The findings could aid in informing clinical decision-making, enhancing digital health education, and reducing the burden of hypertension.
Keywords: Community-based Biobank Study, Hypertension, exploratory study, clinical examinations, Neural Network
Received: 11 Apr 2024; Accepted: 30 Sep 2025.
Copyright: © 2025 Chen, Chen, Chen, Lo and Yang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Tse-Yen Yang, yangty@365.cmu.edu.tw
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.