Obesity related metabolic abnormalities: distribution and geographic differences among middle-aged and older Chinese populations
Yu, Zhijie, Lin, Xu, Haas, Jere D., Franco, Oscar H., Rennie, Kirsten L., Li, Huaixing, Xu, He, Pang, Xinghuo, Liu, Hong, Zhang, Zheng, Zou, Shurong and Jiao, Shufang (2009) Obesity related metabolic abnormalities: distribution and geographic differences among middle-aged and older Chinese populations. Preventative Medicine, Vol.48 (No.3). pp. 272-278. ISSN 0091-7435Full text not available from this repository.
Official URL: http://dx.doi.org/10.1016/j.ypmed.2009.01.004
Objective. To investigate geographic differences in obesity related metabolic abnormalities in middle-aged and older Chinese people with different levels of adiposity.
Method. Data from 3289 individuals aged 50-70 years who participated in a cross-sectional survey in 2005 (1641 from northern [Beijing] and 1648 from southern [Shanghai] China) were analyzed. Overweight or obesity and abdominal obesity were classified as body mass index >= 24 kg/m(2) and waist circumference >= 90 cm for men and >= 80 cm for women. Metabolic abnormalities (metabolic syndrome, dyslipidemia, hypertension and diabetes) were defined using the NCEP/ATPIII criteria.
Results. The overall prevalence of overweight and obesity was 53.4%, and the prevalence of abdominal obesity was 48.0%, respectively. The prevalence of the metabolic abnormalities was significantly higher among obese individuals than their normal weight counterparts. The association between obesity and the higher prevalence of the metabolic abnormalities was more pronounced among people who were overweight or obese in the north, especially for those living in rural areas.
Conclusion. The prevalence of obesity and associated metabolic abnormalities varies substantially among Chinese people in different geographic region. Individuals who were overweight or obese living in rural areas in the north contribute importantly to the north-south differences in obesity-related metabolic abnormalities among Chinese populations. (C) 2009 Elsevier Inc. All rights reserved.
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