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Title |
Comparing general obesity indicator and central obesity
indicators for hypertension prediction
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Authors |
Divyangkumar N Patel1,*, Nilesh G Patel2 & Mehul R Patel3
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Affiliation |
1Department of Community Medicine, Dr N. D. Desai Faculty of Medical Science and Research, Dharmsinh Desai University, Nadiad, Gujarat, India; 2Department of Community Medicine, Smt B. K Shah Medical Institute and Research Center, Sumandeep Vidyapeeth deemed to be university, Gujarat, India; 3Department of Community Medicine, Nootan Medical College and Research Center, Sankalchand Patel University, Gujarat, India; *Corresponding author
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Divyangkumar N Patel - E-mail: drdivpatel@gmail.com
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Article Type |
Research Article
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Date |
Received October 1, 2025; Revised October 31, 2025; Accepted October
31, 2025, Published October 31, 2025
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Abstract |
Hypertension has emerged as a global epidemic, particularly affecting developing countries like India. Central obesity, assessed through waist circumference (WC) and waist-to-hip ratio (WHR), is closely linked to cardio-metabolic disorders such as hypertension, cardiovascular disease, metabolic syndrome and diabetes mellitus. Therefore, it is of interest to assess the predictive capability of anthropometric indicators and identifying individuals at risk of high blood pressure. A cross-sectional study was conducted among Bhavnagar police personnel, involving measurements of both central and general obesity through anthropometric assessments. Thus, we show that BMI and waist circumference which indicating general and central obesity respectively, both are associated with hypertension with marginal superiority of BMI. |
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Keywords |
Receiver's operator characteristic (ROC) curve, hypertension, BMI, central obesity
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Citation |
Patel et al. Bioinformation 21(10): 3735-3738 (2025)
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Edited by |
P Kangueane
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ISSN |
0973-2063
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Publisher |
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License |
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
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