Comparison of Hypertension Prediction Analysis Using Waist Measurement and Body Mass Index by Age Group

다국어 초록 (Multilingual Abstract)

Osong Public Health Res Perspect > 9(2); 2018 > Article



Original Article Osong Public Health and Research Perspectives 2018;9(2):45-49.


DOI: https://doi.org/10.24171/j.phrp.2018.9.2.02

Comparison of Hypertension Prediction Analysis Using Waist Measurement and Body Mass Index by Age Group

So Hyun Parka, Seong-Gil Kimb,* aDepartment of Physical Therapy, Youngsan University, Yangsan, Korea bDepartment of Physical Therapy, Uiduk University, Gyeongju, Korea *Corresponding author: Seong-Gil Kim, Department of Physical Therapy, Uiduk University, Gyeongju, Korea, E-mail: [e-mail] Received September 11, 2017 Revised December 27, 2017 Accepted January 16, 2018 Copyright ©2018, Korea Centers for Disease Control and Prevention (open-access, http://creativecommons.org/licenses/by-nc-nd/4.0/): This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Abstract

Objectives The purpose of this study was to evaluate hypertension with simple anthropometry data related to obesity in Korean adults and identify whether age specific waist circumference (WC) may be a useful screening tool for determining hypertension.


Methods Subjects (n = 571) were classified into 3 groups by age; young (18–39 years), middle aged (40–64 years), and old aged (≥ 65 years). Correlations between demographic and anthropometric parameters and hypertension were performed using Spearman correlation analysis. Logistic regression analysis and ROC (receiver operating characteristics) curves were also analyzed for correlations with hypertension.


Results Spearman correlation analyses, age, gender, WC, and body mass index were positively correlated with hypertension. When logistic regression analysis was performed, increased age and increased WC was associated with a higher incidence of hypertension, although gender and body mass index were not significantly related to hypertension. In ROC analysis of WC for hypertension demonstrated that patients in the old age group showed higher WC cutoff value than patients in the young and middle aged groups.


Conclusion The findings of this study demonstrate that WC may be a useful predictor of hypertension incidence among demographic and anthropometric factors in Korean adults. In addition, WC in the young population was more sensitive to the incidence of hypertension than in the elderly population.

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