Wenning Fu1,2, Chao Wang1, Li Zou3, Heng Jiang4,5, Mia Miller4, Yong Gan1, Shiyi Cao1, Hongbin Xu1, Jing Mao2, Shijiao Yan6,7, Wei Yue8, Feng Yan9, Qingfeng Tian10, Zuxun Lu1. 1. 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. Department of Neurology, Renmin Hospital of Wuhan University, Wuhan, China. 4. Centre for Alcohol Policy Research, School of Psychology and Public Health, La Trobe University, Melbourne, Victoria, Australia. 5. Centre for Health Equity, School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia. 6. School of Public Health, Hainan Medical University, Haikou, China. 7. Key Laboratory of Emergency and Trauma of Ministry of Education, Hainan Medical University, Haikou, China. 8. Department of Neurology, Tianjin Huanhu Hospital, Tianjin, China. 9. Department of Neurosurgery, Xuanwu Hospital, Capital medical University, Beijing, China. 10. College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
Abstract
BACKGROUND: Adiposity is an established risk factor for diabetes. The different measurements of adiposity for predicting diabetes have been compared in recent studies in Western countries. However, similar researches among Chinese adults are limited. METHODS: Data were collected from a national survey conducted during September 2014 and May 2015 Among Chinese adults aged 40 years and older across 30 China's provinces. Multilevel model analysis was performed to examine the impacts of different obesity indices [body mass index (BMI), waist circumference (WC), lipid accumulation product index (LAP), visceral adiposity index (VAI), and body adiposity index (BAI)] on the risk of diabetes. RESULTS: A total of 162 880 participants were included in this study. Of them, 54.47% were female. With an increase in BMI, WC, LAP, VAI, and BAI, the prevalence of diabetes significantly grew (P < 0.001). The multilevel model analysis showed that WC has the strongest impact on diabetes prevalence, while BAI was the weakest. For one SD increment in BMI, WC, LAP, VAI, and BAI, the prevalence of diabetes increased by 27.0% (Odds Ratio (OR) = 1.270, 95% Confidence interval (CI) = 1.251-1.289), 37.4% (OR = 1.374, 95% CI = 1.346-1.401), 28.1% (OR = 1.281, 95% CI = 1.266-1.297), 22.0% (OR = 1.220, 95% CI = 1.204-1.236), and 17.4% (OR = 1.174, 95% CI = 1.151-1.192), respectively. CONCLUSION: Obesity indicators of BMI, WC, LAP, VAI, and BAI have significant positive relationships with the risk of diabetes. WC has the strongest impact on diabetes, while BAI has the weakest.
BACKGROUND: Adiposity is an established risk factor for diabetes. The different measurements of adiposity for predicting diabetes have been compared in recent studies in Western countries. However, similar researches among Chinese adults are limited. METHODS: Data were collected from a national survey conducted during September 2014 and May 2015 Among Chinese adults aged 40 years and older across 30 China's provinces. Multilevel model analysis was performed to examine the impacts of different obesity indices [body mass index (BMI), waist circumference (WC), lipid accumulation product index (LAP), visceral adiposity index (VAI), and body adiposity index (BAI)] on the risk of diabetes. RESULTS: A total of 162 880 participants were included in this study. Of them, 54.47% were female. With an increase in BMI, WC, LAP, VAI, and BAI, the prevalence of diabetes significantly grew (P < 0.001). The multilevel model analysis showed that WC has the strongest impact on diabetes prevalence, while BAI was the weakest. For one SD increment in BMI, WC, LAP, VAI, and BAI, the prevalence of diabetes increased by 27.0% (Odds Ratio (OR) = 1.270, 95% Confidence interval (CI) = 1.251-1.289), 37.4% (OR = 1.374, 95% CI = 1.346-1.401), 28.1% (OR = 1.281, 95% CI = 1.266-1.297), 22.0% (OR = 1.220, 95% CI = 1.204-1.236), and 17.4% (OR = 1.174, 95% CI = 1.151-1.192), respectively. CONCLUSION: Obesity indicators of BMI, WC, LAP, VAI, and BAI have significant positive relationships with the risk of diabetes. WC has the strongest impact on diabetes, while BAI has the weakest.