Kai-Ting Chang1, Chih-Hao Chen2, Hai-Hua Chuang3, Yu-Chung Tsao4, Yan-An Lin5, Pu Lin6, Yun-Hung Chen7, Wei-Chung Yeh8, I-Shiang Tzeng9, Jau-Yuan Chen10. 1. Department of Family Medicine, Chang-Gung Memorial Hospital, Linkou Branch, No. 5, Fuxing St., Guishan Dist., Taoyuan City, 33305, Taiwan, ROC. Electronic address: u96000029@gmail.com. 2. Department of Family Medicine, Chang-Gung Memorial Hospital, Linkou Branch, No. 5, Fuxing St., Guishan Dist., Taoyuan City, 33305, Taiwan, ROC. Electronic address: chchen79@gmail.com. 3. Department of Family Medicine, Chang-Gung Memorial Hospital, Taipei Branch, No. 199, Tung Hwa North Road, Taipei City, 10507, Taiwan, ROC. Electronic address: chhaihua@gmail.com. 4. Department of Family Medicine, Chang-Gung Memorial Hospital, Linkou Branch, No. 5, Fuxing St., Guishan Dist., Taoyuan City, 33305, Taiwan, ROC; Department of Occupational Medicine, Chang-Gung Memorial Hospital, Linkou Branch, No. 5, Fuxing St., Guishan Dist., Taoyuan City, 33305, Taiwan, ROC. Electronic address: eusden@gmail.com. 5. Department of Family Medicine, Chang-Gung Memorial Hospital, Linkou Branch, No. 5, Fuxing St., Guishan Dist., Taoyuan City, 33305, Taiwan, ROC. Electronic address: s19401044@gmail.com. 6. Department of Family Medicine, Chang-Gung Memorial Hospital, Linkou Branch, No. 5, Fuxing St., Guishan Dist., Taoyuan City, 33305, Taiwan, ROC. Electronic address: drawgf@gmail.com. 7. Department of Family Medicine, Chang-Gung Memorial Hospital, Linkou Branch, No. 5, Fuxing St., Guishan Dist., Taoyuan City, 33305, Taiwan, ROC. Electronic address: youngpunk1@cgmh.org.tw. 8. Department of Family Medicine, Chang-Gung Memorial Hospital, Linkou Branch, No. 5, Fuxing St., Guishan Dist., Taoyuan City, 33305, Taiwan, ROC. Electronic address: sendoh777777@gmail.com. 9. Department of Research, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, No. 289, Jianguo Rd., Xindian Dist., New Taipei City, 23142, Taiwan, ROC. Electronic address: istzeng@gmail.com. 10. Department of Family Medicine, Chang-Gung Memorial Hospital, Linkou Branch, No. 5, Fuxing St., Guishan Dist., Taoyuan City, 33305, Taiwan, ROC; College of Medicine, Chang Gung University, Taoyuan, No. 259, Wenhua 1st Rd., Guishan Dist., Taoyuan City, 333, Taiwan, ROC. Electronic address: welins@cgmh.org.tw.
Abstract
BACKGROUND AND AIMS: The aim was to investigate the relationships between visceral fat rating scale (VFR), waist circumference (WC), body mass index (BMI) and cardiovascular disease (CVD) risk. METHODS: In this cross-sectional, community-based study, participants completed questionnaire that included personal and medical history, and underwent anthropometric measurement and blood sampling. The 2008 general CVD risk model was used to predict CVD risk. Associations between CVD risk and VFR, WC, BMI were evaluated by means of analysis of covariance (ANCOVA) with gender as covariate, Chi-squared test, Pearson's correlation, Cochran-Armitage test, multivariate logistic regression and receiver operating characteristic curves. RESULTS: A total of 377 people were enrolled. A significant association was identified between VFR, WC, BMI, and CVD risk, with coefficient of determination (r2) of 0.32 (p < 0.001), 0.18 (p < 0.001) and 0.03 (p = 0.001), respectively. There was a trend toward increasing prevalence of high CVD risk as VFR, WC, and BMI increased (all p values <0.05). Multivariate logistic regression revealed VFR (OR = 1.21; 95%CI = 1.02-1.24), WC (OR = 1.07; 95%CI = 1.04-1.11) and BMI (OR = 1.11; 95%CI = 1.02-1.21) to be independent predictors of high CVD risk. In male, the area under curves of VFR and WC are greater than BMI: 0.641, 0.647 and 0.562. In female, the area under curves of VFR and WC are also greater than BMI: 0.656, 0.688 and 0.601. CONCLUSIONS: VFR and WC were more strongly associated with high CVD risk than BMI among middle-aged and elderly persons in Taiwan.
BACKGROUND AND AIMS: The aim was to investigate the relationships between visceral fat rating scale (VFR), waist circumference (WC), body mass index (BMI) and cardiovascular disease (CVD) risk. METHODS: In this cross-sectional, community-based study, participants completed questionnaire that included personal and medical history, and underwent anthropometric measurement and blood sampling. The 2008 general CVD risk model was used to predict CVD risk. Associations between CVD risk and VFR, WC, BMI were evaluated by means of analysis of covariance (ANCOVA) with gender as covariate, Chi-squared test, Pearson's correlation, Cochran-Armitage test, multivariate logistic regression and receiver operating characteristic curves. RESULTS: A total of 377 people were enrolled. A significant association was identified between VFR, WC, BMI, and CVD risk, with coefficient of determination (r2) of 0.32 (p < 0.001), 0.18 (p < 0.001) and 0.03 (p = 0.001), respectively. There was a trend toward increasing prevalence of high CVD risk as VFR, WC, and BMI increased (all p values <0.05). Multivariate logistic regression revealed VFR (OR = 1.21; 95%CI = 1.02-1.24), WC (OR = 1.07; 95%CI = 1.04-1.11) and BMI (OR = 1.11; 95%CI = 1.02-1.21) to be independent predictors of high CVD risk. In male, the area under curves of VFR and WC are greater than BMI: 0.641, 0.647 and 0.562. In female, the area under curves of VFR and WC are also greater than BMI: 0.656, 0.688 and 0.601. CONCLUSIONS: VFR and WC were more strongly associated with high CVD risk than BMI among middle-aged and elderly persons in Taiwan.