Clinical Interventions in Aging (Jan 2014)
The abilities of new anthropometric indices in identifying cardiometabolic abnormalities, and influence of residence area and lifestyle on these anthropometric indices in a Chinese community-dwelling population
Abstract
Shihui Fu,1 Leiming Luo,1 Ping Ye,1 Yuan Liu,1 Bing Zhu,1 Yongyi Bai,1 Jie Bai2 1Department of Geriatric Cardiology, 2Department of Clinical Biochemistry, Chinese People's Liberation Army General Hospital, Beijing, People's Republic of China Objective: The study aimed to investigate the prevalence of overweight, obesity, and cardiometabolic abnormalities, the influence of residence area, occupation, and lifestyle on new anthropometric indices, and the relationship between anthropometric indices and cardiometabolic abnormalities in a Chinese community-dwelling population. Methods: The study included 4,868 residents through a large health check-up program in Beijing. Results: Overall obesity existed in 22.2% of men and 28.1% of women. 67.1% of men and 65.2% of women were overweight. 65.99% of men and 65.97% of women had central obesity. Residents of rural areas, manual workers, and smokers had significantly higher anthropometric indices. The power of each anthropometric index varied for identifying different cardiometabolic abnormalities, and the ability of the waist-to-height ratio to identify participants with greater than one or two cardiometabolic abnormalities was optimal. The appropriate cut-off values of all anthropometric indices for cardiometabolic abnormalities were obtained. Conclusion: Overweight is common for both sexes in the People's Republic of China, as are general and central obesity. Residents of rural areas, manual workers, and smokers have significantly higher anthropometric indices. Waist-to-height ratio has the ability to reflect the compound risk of different cardiometabolic abnormalities and the greatest potential to be widely applied in clinical practice. Keywords: anthropometric indices, residence area, lifestyle, cardiometabolic abnormalities, Chinese community-dwelling population
