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[Prevalence of chronic kidney disease and its association with lifestyle factors in adults from 10 regions of China].
Wang, X; Shi, K X; Yu, C Q; Lyu, J; Guo, Y; Pei, P; Xia, Q M; Du, H D; Chen, J S; Chen, Z M; Li, L M.
Afiliación
  • Wang X; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191,China.
  • Shi KX; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191,China.
  • Yu CQ; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191,China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191,China.
  • Lyu J; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191,China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191,China.
  • Guo Y; Fuwai Hospital, Chinese Academy of Medical Sciences, National Center for Cardiovascular Diseases, Beijing 100037, China.
  • Pei P; Chinese Academy of Medical Sciences, Beijing 100730, China.
  • Xia QM; Chinese Academy of Medical Sciences, Beijing 100730, China.
  • Du HD; Nuffield Department of Population Health, Center for Clinical and Epidemiological Studies, University of Oxford, Oxford OX3 7LF, UK.
  • Chen JS; China National Center for Food Safety Risk Assessment, Beijing 100022, China.
  • Chen ZM; Nuffield Department of Population Health, Center for Clinical and Epidemiological Studies, University of Oxford, Oxford OX3 7LF, UK.
  • Li LM; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191,China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191,China.
Zhonghua Liu Xing Bing Xue Za Zhi ; 44(3): 386-392, 2023 Mar 10.
Article en Zh | MEDLINE | ID: mdl-36942332
ABSTRACT

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.
Asunto(s)

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Insuficiencia Renal Crónica / Obesidad Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies País/Región como asunto: Asia Idioma: Zh Revista: Zhonghua Liu Xing Bing Xue Za Zhi Año: 2023 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Insuficiencia Renal Crónica / Obesidad Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies País/Región como asunto: Asia Idioma: Zh Revista: Zhonghua Liu Xing Bing Xue Za Zhi Año: 2023 Tipo del documento: Article