中国10个地区成年人慢性肾脏病流行情况及其生活方式影响因素

Journal article

Objective To investigate the distribution of chronic kidney disease (CKD) in participants from the China Kadoorie Biobank (CKB) study and evaluate the association between lifestyle risk factors and CKD.

Methods Based on the baseline survey data and follow-up data (as of December 31, 2018) of the CKB study, the differences in CKD cases' area and population distributions were described. Cox proportional hazards regression model was used to estimate the association between lifestyle risk factors and the risk of CKD.

Results A total of 505 147 participants, 4 920 cases of CKD were recorded in 11.26 year follow up with a incidence rate of 83.43/100 000 person-years. Glomerulonephropathy was the most common type. The incidence of CKD was higher in the urban area, men, and the elderly aged 60 years and above (87.83/100 000 person-years, 86.37/100 000 person-years, and 132.06/100 000 person-years). Current male smokers had an increased risk for CKD compared with non-smokers or occasional smokers ( HR=1.18, 95% CI: 1.05-1.31). The non-obese population was used as a control group, both general obesity determined by BMI ( HR=1.19, 95% CI: 1.10-1.29) and central obesity determined by waist circumference ( HR=1.27, 95% CI: 1.19-1.35) were associated with higher risk for CKD.

Conclusion The risks for CKD varied with area and population in the CKB cohort study, and the risk was influenced by multiple lifestyle factors.

Authors: Wang, X; Shi, K; Yu, C; Lyu, J; Guo, Y

• Alternative title: Prevalence of chronic kidney disease and its association with lifestyle factors in adults from 10 regions of China
• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: Zhonghua Yixuehui, Chinese Medical Association
• Journal: Zhonghua Liu Xing Bing Xue Za Zhi / Chinese Journal of Epidemiology
• Volume: 44
• Issue: 3
• Pages: 386-392
• Publication date: 2023-03-10
• DOI: 10.3760/cma.j.cn112338-20220801-00680
• ISSN: 0254-6450
• Pmid: 36942332
• Language: Chinese
• Keywords: lifestyle factor; chronic kidney disease; disease distribution; prospective cohort study