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Association of body mass index and waist circumference with major chronic diseases in Chinese adults / 中华流行病学杂志
Chinese Journal of Epidemiology ; (12): 1541-1547, 2019.
Article in Zh | WPRIM | ID: wpr-800268
Responsible library: WPRO
ABSTRACT
Objective@#To examine the association of BMI with major chronic diseases morbidity and all-cause mortality in Chinese adults.@*Methods@#This study is based on China Kadoorie Biobank. Anthropometric indexes were objectively measured at the baseline survey during 2004-2008. After excluding participants with heart disease, stroke, cancer, COPD and diabetes, 428 113 participants aged 30 to 79 years were included in the analysis. Cox regression models were used to investigate the associations of BMI and waist circumference with incidence of major chronic diseases (including cardiovascular disease, cancer, COPD, and type 2 diabetes) and all-cause mortality.@*Results@#Over an average of 10 years, 131 454 participants developed any one of major chronic diseases. A total of 26 892 all-cause deaths were reported. The risk of major chronic diseases increased with BMI. Compared with normal BMI (18.5-24.0 kg/m2), the HR (95%CI) of overweight (BMI 24.0-28.0 kg/m2) and obesity (BMI≥28.0 kg/m2) were 1.26 (95%CI 1.24-1.27) and 1.59 (95%CI 1.57-1.62) respectively. Underweight and obesity were both associated with risk of all-cause mortality. Waist circumference was positively associated with risk of major chronic diseases and all-cause mortality. According to recommended cut-off points of BMI and waist circumference for Chinese adults, maintaining a healthy body weight would prevent 12% incident cases of major chronic diseases.@*Conclusion@#General and central obesity were risk factors for major chronic disease among Chinese adults.
Key words
Full text: 1 Database: WPRIM Type of study: Prognostic_studies / Risk_factors_studies Language: Zh Journal: Chinese Journal of Epidemiology Year: 2019 Document type: Article
Full text: 1 Database: WPRIM Type of study: Prognostic_studies / Risk_factors_studies Language: Zh Journal: Chinese Journal of Epidemiology Year: 2019 Document type: Article