Chao Wang1, Wenning Fu2, Shiyi Cao1, Hongbin Xu1, Qingfeng Tian3, Yong Gan1, Yingying Guo4, Shijiao Yan5, Feng Yan6, Wei Yue7, Chuanzhu Lv8, Zuxun Lu9. 1. Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. 2. School of Nursing, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. 3. College of Public Health, Zhengzhou University, Zhengzhou, China. 4. Children's Healthcare Department, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. 5. School of International Education, Hainan Medical University, Haikou, China. 6. Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China. 7. Neurology Department, Tianjin Huanhu Hospital, Tianjin, China. 8. Emergency and Trauma College, Hainan Medical University, Haikou, China; Department of Emergency, The Second Affiliated Hospital of Hainan Medical University, Haikou, China. Electronic address: lyuchuanzhu@hainmc.edu.cn. 9. Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. Electronic address: zuxunlu@yahoo.com.
Abstract
BACKGROUND AND AIMS: Obesity has been linked to the development of hypertension, but the comparison of relationships between different obesity parameters with hypertension are scarcely studied with nationally representative Chinese adults samples. We sought to compare the predictive strengths of different obesity indicators to hypertension. METHODS AND RESULTS: Data in this study were obtained from the Chinese National Stroke Prevention Project with a nationally representative sample of Chinese aged 40 years and older. A total of 162,880 individuals were included. Multi-level analyses and Receiver Operating Characteristic (ROC) curves were used to examine the risk of hypertension in relation to different obesity parameters, including body mass index (BMI), waist circumference (WC), lipid accumulation product index (LAP), visceral adiposity index (VAI), and body adiposity index (BAI). As results, the BMI, WC, LAP, VAI, and BAI were positively associated with the risk of hypertension (P < 0.001). In total, BMI had the strongest association with hypertension when compared with other obesity indicators, and one SD up of BMI would increase the risk of hypertension by 53.9% (95% CI: 1.514-1.566). For men, WC was most associated with hypertension, and one SD up of WC would increase the risk of hypertension by 73.3% (95% CI: 1.685-1.782). For women, BMI showed the strongest predictive power, one SD up of BMI would increase the risk of hypertension by 51.0% (95% CI: 1.479-1.543). CONCLUSIONS: BMI, WC, LAP, VAI, and BAI are all positively corrected to hypertension, but gender disparities should be considered in predicting hypertension by obesity indicators.
BACKGROUND AND AIMS: Obesity has been linked to the development of hypertension, but the comparison of relationships between different obesity parameters with hypertension are scarcely studied with nationally representative Chinese adults samples. We sought to compare the predictive strengths of different obesity indicators to hypertension. METHODS AND RESULTS: Data in this study were obtained from the Chinese National Stroke Prevention Project with a nationally representative sample of Chinese aged 40 years and older. A total of 162,880 individuals were included. Multi-level analyses and Receiver Operating Characteristic (ROC) curves were used to examine the risk of hypertension in relation to different obesity parameters, including body mass index (BMI), waist circumference (WC), lipid accumulation product index (LAP), visceral adiposity index (VAI), and body adiposity index (BAI). As results, the BMI, WC, LAP, VAI, and BAI were positively associated with the risk of hypertension (P < 0.001). In total, BMI had the strongest association with hypertension when compared with other obesity indicators, and one SD up of BMI would increase the risk of hypertension by 53.9% (95% CI: 1.514-1.566). For men, WC was most associated with hypertension, and one SD up of WC would increase the risk of hypertension by 73.3% (95% CI: 1.685-1.782). For women, BMI showed the strongest predictive power, one SD up of BMI would increase the risk of hypertension by 51.0% (95% CI: 1.479-1.543). CONCLUSIONS: BMI, WC, LAP, VAI, and BAI are all positively corrected to hypertension, but gender disparities should be considered in predicting hypertension by obesity indicators.