Association of physical activity with risk of chronic kidney disease in China: A population-based cohort study
Background: Information on the association between physical activity (PA) and the risk of chronic kidney disease (CKD) is limited. We aimed to explore the associations of total, domain-specific, and intensity-specific PA with CKD and its subtypes in China. Methods: The study included 475,376 adults...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-03-01
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| Series: | Journal of Sport and Health Science |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S209525462300073X |
| _version_ | 1827316616706129920 |
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| author | Kexiang Shi Yunqing Zhu Jun Lv Dianjianyi Sun Pei Pei Huaidong Du Yiping Chen Ling Yang Bing Han Rebecca Stevens Junshi Chen Zhengming Chen Liming Li Canqing Yu |
| author_facet | Kexiang Shi Yunqing Zhu Jun Lv Dianjianyi Sun Pei Pei Huaidong Du Yiping Chen Ling Yang Bing Han Rebecca Stevens Junshi Chen Zhengming Chen Liming Li Canqing Yu |
| author_sort | Kexiang Shi |
| collection | DOAJ |
| description | Background: Information on the association between physical activity (PA) and the risk of chronic kidney disease (CKD) is limited. We aimed to explore the associations of total, domain-specific, and intensity-specific PA with CKD and its subtypes in China. Methods: The study included 475,376 adults from the China Kadoorie Biobank aged 30–79 years during 2004–2008 at baseline. An interviewer-administered questionnaire was used to collect the information about PA, which was quantified as metabolic equivalent of task hours per day (MET-h/day) and categorized into 4 groups based on quartiles. Cox regression was used to analyze the association between PA and CKD risk. Results: During a median follow-up of 12.1 years, 5415 incident CKD cases were documented, including 1159 incident diabetic kidney disease (DKD) cases and 362 incident hypertensive nephropathy (HTN) cases. Total PA was inversely associated with CKD risk, with an adjusted hazard ratio (HR, 95% confidence interval (95%CI)) of 0.83 (0.75–0.92) for incident CKD in the highest quartile of total PA as compared with participants in the lowest quartile. Similar results were observed for risk of DKD and HTN, and the corresponding HRs (95%CIs) were 0.75 (0.58–0.97) for DKD risk and 0.56 (0.37–0.85) for HTN risk. Increased nonoccupational PA, low-intensity PA, and moderate-to-vigorous-intensity PA were significantly associated with a decreased risk of CKD, with HRs (95%CIs) of 0.80 (0.73–0.88), 0.85 (0.77–0.94), and 0.85 (0.76–0.95) in the highest quartile, respectively. Conclusion: PA, including nonoccupational PA, low-intensity PA, and moderate-to-vigorous-intensity PA, was inversely associated with the risk of CKD, including DKD, HTN, and other CKD, and such associations were dose dependent. |
| first_indexed | 2024-04-24T23:18:42Z |
| format | Article |
| id | doaj.art-9dfc08db4a0c44159cb3ab92f0d22404 |
| institution | Directory Open Access Journal |
| issn | 2095-2546 |
| language | English |
| last_indexed | 2024-04-24T23:18:42Z |
| publishDate | 2024-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Sport and Health Science |
| spelling | doaj.art-9dfc08db4a0c44159cb3ab92f0d224042024-03-17T07:53:20ZengElsevierJournal of Sport and Health Science2095-25462024-03-01132204211Association of physical activity with risk of chronic kidney disease in China: A population-based cohort studyKexiang Shi0Yunqing Zhu1Jun Lv2Dianjianyi Sun3Pei Pei4Huaidong Du5Yiping Chen6Ling Yang7Bing Han8Rebecca Stevens9Junshi Chen10Zhengming Chen11Liming Li12Canqing Yu13Department of Epidemiology & Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, ChinaDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, ChinaDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China; Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, ChinaDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China; Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, ChinaPeking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, ChinaClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK; Medical Research Council Population Health Research Unit at the University of Oxford, Oxford OX3 7LF, UKClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK; Medical Research Council Population Health Research Unit at the University of Oxford, Oxford OX3 7LF, UKClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK; Medical Research Council Population Health Research Unit at the University of Oxford, Oxford OX3 7LF, UKNCDs Prevention and Control Department, Henan Center for Disease Control and Prevention, Zhengzhou 450016, ChinaClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UKChina National Center for Food Safety Risk Assessment, Beijing 100022, ChinaClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UKDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China; Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, ChinaDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China; Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China; Corresponding author.Background: Information on the association between physical activity (PA) and the risk of chronic kidney disease (CKD) is limited. We aimed to explore the associations of total, domain-specific, and intensity-specific PA with CKD and its subtypes in China. Methods: The study included 475,376 adults from the China Kadoorie Biobank aged 30–79 years during 2004–2008 at baseline. An interviewer-administered questionnaire was used to collect the information about PA, which was quantified as metabolic equivalent of task hours per day (MET-h/day) and categorized into 4 groups based on quartiles. Cox regression was used to analyze the association between PA and CKD risk. Results: During a median follow-up of 12.1 years, 5415 incident CKD cases were documented, including 1159 incident diabetic kidney disease (DKD) cases and 362 incident hypertensive nephropathy (HTN) cases. Total PA was inversely associated with CKD risk, with an adjusted hazard ratio (HR, 95% confidence interval (95%CI)) of 0.83 (0.75–0.92) for incident CKD in the highest quartile of total PA as compared with participants in the lowest quartile. Similar results were observed for risk of DKD and HTN, and the corresponding HRs (95%CIs) were 0.75 (0.58–0.97) for DKD risk and 0.56 (0.37–0.85) for HTN risk. Increased nonoccupational PA, low-intensity PA, and moderate-to-vigorous-intensity PA were significantly associated with a decreased risk of CKD, with HRs (95%CIs) of 0.80 (0.73–0.88), 0.85 (0.77–0.94), and 0.85 (0.76–0.95) in the highest quartile, respectively. Conclusion: PA, including nonoccupational PA, low-intensity PA, and moderate-to-vigorous-intensity PA, was inversely associated with the risk of CKD, including DKD, HTN, and other CKD, and such associations were dose dependent.http://www.sciencedirect.com/science/article/pii/S209525462300073XChronic kidney diseaseDomainIntensityPhysical activity |
| spellingShingle | Kexiang Shi Yunqing Zhu Jun Lv Dianjianyi Sun Pei Pei Huaidong Du Yiping Chen Ling Yang Bing Han Rebecca Stevens Junshi Chen Zhengming Chen Liming Li Canqing Yu Association of physical activity with risk of chronic kidney disease in China: A population-based cohort study Journal of Sport and Health Science Chronic kidney disease Domain Intensity Physical activity |
| title | Association of physical activity with risk of chronic kidney disease in China: A population-based cohort study |
| title_full | Association of physical activity with risk of chronic kidney disease in China: A population-based cohort study |
| title_fullStr | Association of physical activity with risk of chronic kidney disease in China: A population-based cohort study |
| title_full_unstemmed | Association of physical activity with risk of chronic kidney disease in China: A population-based cohort study |
| title_short | Association of physical activity with risk of chronic kidney disease in China: A population-based cohort study |
| title_sort | association of physical activity with risk of chronic kidney disease in china a population based cohort study |
| topic | Chronic kidney disease Domain Intensity Physical activity |
| url | http://www.sciencedirect.com/science/article/pii/S209525462300073X |
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