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Lin X, Lv J, Zhang S, Ma X, Zhang X, Wang C, Zhang T. Healthy Lifestyle Behaviors Attenuate the Effect of Poor Sleep Patterns on Chronic Kidney Disease Risk: A Prospective Study from the UK Biobank. Nutrients 2024; 16:4238. [PMID: 39683631 DOI: 10.3390/nu16234238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2024] [Revised: 12/02/2024] [Accepted: 12/06/2024] [Indexed: 12/18/2024] Open
Abstract
OBJECTIVES This study aimed to assess the impact of modifiable lifestyle behaviors on the association between sleep patterns and chronic kidney disease (CKD) risk. METHODS This study included 294,215 UK Biobank participants initially without CKD, followed until 13 October 2023. Sleep patterns were derived from five sleep factors, including sleep duration, chronotype, insomnia, snoring, and daytime dozing. The healthy lifestyle score (HLS) was newly calculated based on smoking status, physical activity, diet, body mass index, and mental health. Cox's proportional hazards models were used to assess the associations between sleep patterns, HLS, and CKD risk. RESULTS A total of 17,357 incident CKD cases were identified during a median follow-up of 14.5 (interquartile range: 13.7-15.3) years. Both sleep patterns and HLS were independently associated with increased CKD risk (p-trend < 0.001). Importantly, the HLS was found to modify the association between sleep patterns and CKD risk (p-interaction = 0.026). Among participants with a low HLS, medium (HR = 1.12; 95% CI 1.05-1.19) and poor sleep patterns (HR = 1.23; 95% CI 1.17-1.30) increased CKD risk to varying degrees, whereas no significant association was observed for a high HLS. Moreover, the combination of a low HLS and poor sleep pattern significantly increased the risk of incident CKD (HR = 2.19; 95% CI 2.00-2.40). CONCLUSIONS A high HLS may significantly reduce CKD risk associated with poor sleep, whereas a low HLS may exacerbate this risk. These findings underscore the critical importance of lifestyle interventions as a primary prevention strategy for CKD.
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Affiliation(s)
- Xia Lin
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan 250002, China
| | - Jiali Lv
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan 250002, China
| | - Shuai Zhang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan 250002, China
| | - Xiaoyan Ma
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan 250002, China
| | - Xiaofeng Zhang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan 250002, China
| | - Cheng Wang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan 250002, China
| | - Tao Zhang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan 250002, China
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Ding Y, Xu X, Xin Z, Cao Q, Huang J, Wu X, Huo Y, Wan Q, Qin Y, Hu R, Shi L, Su Q, Yu X, Yan L, Qin G, Tang X, Chen G, Xu M, Wang T, Zhao Z, Gao Z, Wang G, Shen F, Luo Z, Chen L, Li Q, Ye Z, Zhang Y, Liu C, Wang Y, Yang T, Deng H, Chen L, Zeng T, Zhao J, Mu Y, Wu S, Chen Y, Lu J, Wang W, Ning G, Xu Y, Bi Y, Li M. Associations of sleeping patterns and isotemporal substitution of other behavior with the prevalence of CKD in Chinese adults. Front Med 2024; 18:303-314. [PMID: 38049616 DOI: 10.1007/s11684-023-1019-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 06/24/2023] [Indexed: 12/06/2023]
Abstract
Studies have found a U-shaped relationship between sleep duration and chronic kidney disease (CKD) risk, but limited research evaluated the association of reallocating excessive sleep to other behavior with CKD. We included 104 538 participants from the nationwide cohort of the Risk Evaluation of Cancers in Chinese Diabetic Individuals: A Longitudinal Study, with self-reported time of daily-life behavior. Using isotemporal substitution models, we found that substituting 1 h of sleeping with sitting, walking, or moderate-to-vigorous physical activity was associated with a lower CKD prevalence. Leisure-time physical activity displacement was associated with a greater prevalence reduction than occupational physical activity in working population. In stratified analysis, a lower CKD prevalence related to substitution toward physical activity was found in long sleepers. More pronounced correlations were observed in long sleepers with diabetes than in those with prediabetes, and they benefited from other behavior substitutions toward a more active way. The U-shaped association between sleep duration and CKD prevalence implied the potential effects of insufficient and excessive sleep on the kidneys, in which the pernicious link with oversleep could be reversed by time reallocation to physical activity. The divergence in the predicted effect on CKD following time reallocation to behavior of different domains and intensities and in subpopulations with diverse metabolic statuses underlined the importance of optimizing sleeping patterns and adjusting integral behavioral composition.
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Affiliation(s)
- Yi Ding
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xiaoli Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Zhuojun Xin
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Qiuyu Cao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Jiaojiao Huang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xianglin Wu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yanan Huo
- Jiangxi Provincial People's Hospital, Affiliated to Nanchang University, Nanchang, 330000, China
| | - Qin Wan
- Department of Endocrinology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, China
| | - Yingfen Qin
- Department of Endocrinology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530000, China
| | - Ruying Hu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310000, China
| | - Lixin Shi
- Department of Endocrinology, Affiliated Hospital of Guiyang Medical University, Guiyang, 550000, China
| | - Qing Su
- Xinhua Hospital, Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200000, China
| | - Xuefeng Yu
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China
| | - Li Yan
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510000, China
| | - Guijun Qin
- Department of Endocrinology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, China
| | - Xulei Tang
- Department of Endocrinology, The First Hospital of Lanzhou University, Lanzhou, 730000, China
| | - Gang Chen
- Fujian Provincial Hospital, Fujian Medical University, Fuzhou, 350000, China
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Zhengnan Gao
- Dalian Municipal Central Hospital, Affiliated of Dalian Medical University, Dalian, 116000, China
| | - Guixia Wang
- Department of Endocrinology, The First Hospital of Jilin University, Changchun, 130000, China
| | - Feixia Shen
- Department of Endocrinology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China
| | - Zuojie Luo
- Department of Endocrinology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530000, China
| | - Li Chen
- Qilu Hospital of Shandong University, Jinan, 250000, China
| | - Qiang Li
- Department of Endocrinology, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150000, China
| | - Zhen Ye
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310000, China
| | - Yinfei Zhang
- Department of Endocrinology, Central Hospital of Shanghai Jiading District, Shanghai, 200000, China
| | - Chao Liu
- Department of Endocrinology, Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing, 210000, China
| | - Youmin Wang
- Department of Endocrinology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230000, China
| | - Tao Yang
- Department of Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210000, China
| | - Huacong Deng
- Department of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 410000, China
| | - Lulu Chen
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China
| | - Tianshu Zeng
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China
| | - Jiajun Zhao
- Shandong Provincial Hospital, Affiliated to Shandong University, Jinan, 250000, China
| | - Yiming Mu
- Department of Endocrinology, Chinese People's Liberation Army General Hospital, Beijing, 100000, China
| | - Shengli Wu
- Department of Endocrinology, Karamay Municipal People's Hospital, Karamay, 834000, China
| | - Yuhong Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
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You L, Hong X, Feng Q, Sun K, Lin D, Huang C, Chen C, Wang C, Lao G, Xue S, Tang J, Li N, Qi Y, Feng W, Li F, Yang C, Xu M, Li Y, Yan L, Ren M. Glucose Metabolism Indices and the Development of Chronic Kidney Disease: A Cohort Study of Middle-Aged and Elderly Chinese Persons. Int J Endocrinol 2023; 2023:1412424. [PMID: 37564380 PMCID: PMC10412357 DOI: 10.1155/2023/1412424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 06/28/2023] [Accepted: 06/29/2023] [Indexed: 08/12/2023] Open
Abstract
Objective Chronic kidney disease (CKD) has become a major global health issue, and abnormalities of glucose metabolism are a risk factor responsible for development of CKD. We aimed to investigate associations between glucose metabolism indices and CKD in a Chinese population and determine which index is superior for predicting incident CKD. Methods We performed a community-based population on 5232 subjects aged ≥40 years without baseline CKD. CKD was defined as an estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73 m2 or urinary albumin-to-creatinine ratio (UACR) ≥30 mg/g. We examined the associations of glucose metabolism indices, including fasting plasma glucose (FPG), 2-hour (2 h) oral glucose tolerance test (OGTT), hemoglobin A1c (HbA1c), fasting insulin level, homeostasis model assessment of insulin resistance (HOMA-IR), and HOMA-β and the development of CKD. Results With an average follow-up of 3.6 years, 6.4% of the subjects developed CKD. Pearson's correlation analysis revealed that FPG, HbA1c, fasting insulin, and HOMA-IR were all significantly correlated with UACR and eGFR. The association persisted in multivariate linear regression analysis adjusted for age and sex. Compared with other glucose indices, HOMA-IR exhibited the strongest associations with CKD in COX multivariate regression analysis (HR = 1.17, 95% CI: 1.04-1.31). Conclusion HOMA-IR is superior to other routine indices of glucose metabolism for predicting the development of CKD in middle-aged Chinese persons. Screening with HOMA-IR may help prevent the development of CKD in the general population.
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Affiliation(s)
- Lili You
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou 510120, China
- Guang Dong Clinical Research Center for Metabolic Diseases, 107 Yanjiang West Road, Guangzhou 510120, China
| | - Xiaosi Hong
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou 510120, China
- Guang Dong Clinical Research Center for Metabolic Diseases, 107 Yanjiang West Road, Guangzhou 510120, China
| | - Qiling Feng
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou 510120, China
- Guang Dong Clinical Research Center for Metabolic Diseases, 107 Yanjiang West Road, Guangzhou 510120, China
| | - Kan Sun
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou 510120, China
- Guang Dong Clinical Research Center for Metabolic Diseases, 107 Yanjiang West Road, Guangzhou 510120, China
| | - Diaozhu Lin
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou 510120, China
- Guang Dong Clinical Research Center for Metabolic Diseases, 107 Yanjiang West Road, Guangzhou 510120, China
| | - Chulin Huang
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou 510120, China
- Guang Dong Clinical Research Center for Metabolic Diseases, 107 Yanjiang West Road, Guangzhou 510120, China
| | - Chaogang Chen
- Department of Clinical Nutrition, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou 510120, China
| | - Chuan Wang
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou 510120, China
- Guang Dong Clinical Research Center for Metabolic Diseases, 107 Yanjiang West Road, Guangzhou 510120, China
| | - Guojuan Lao
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou 510120, China
- Guang Dong Clinical Research Center for Metabolic Diseases, 107 Yanjiang West Road, Guangzhou 510120, China
| | - Shengneng Xue
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou 510120, China
- Guang Dong Clinical Research Center for Metabolic Diseases, 107 Yanjiang West Road, Guangzhou 510120, China
| | - Juying Tang
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou 510120, China
- Guang Dong Clinical Research Center for Metabolic Diseases, 107 Yanjiang West Road, Guangzhou 510120, China
| | - Na Li
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou 510120, China
- Guang Dong Clinical Research Center for Metabolic Diseases, 107 Yanjiang West Road, Guangzhou 510120, China
| | - Yiqin Qi
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou 510120, China
- Guang Dong Clinical Research Center for Metabolic Diseases, 107 Yanjiang West Road, Guangzhou 510120, China
| | - Wanting Feng
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou 510120, China
- Guang Dong Clinical Research Center for Metabolic Diseases, 107 Yanjiang West Road, Guangzhou 510120, China
| | - Feng Li
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou 510120, China
- Guang Dong Clinical Research Center for Metabolic Diseases, 107 Yanjiang West Road, Guangzhou 510120, China
| | - Chuan Yang
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou 510120, China
- Guang Dong Clinical Research Center for Metabolic Diseases, 107 Yanjiang West Road, Guangzhou 510120, China
| | - Mingtong Xu
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou 510120, China
- Guang Dong Clinical Research Center for Metabolic Diseases, 107 Yanjiang West Road, Guangzhou 510120, China
| | - Yan Li
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou 510120, China
- Guang Dong Clinical Research Center for Metabolic Diseases, 107 Yanjiang West Road, Guangzhou 510120, China
| | - Li Yan
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou 510120, China
- Guang Dong Clinical Research Center for Metabolic Diseases, 107 Yanjiang West Road, Guangzhou 510120, China
| | - Meng Ren
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou 510120, China
- Guang Dong Clinical Research Center for Metabolic Diseases, 107 Yanjiang West Road, Guangzhou 510120, China
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Moeinzadeh F, Babahajiani M, Seirafian S, Mansourian M, Mortazavi M, Shahidi S, Vahdat S, Saleki M. Assessing physical inactivity as a risk factor for chronic kidney diseases in Iranian population. BMJ Open 2023; 13:e070360. [PMID: 37286321 DOI: 10.1136/bmjopen-2022-070360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/09/2023] Open
Abstract
OBJECTIVES Physical inactivity is a major adjustable lifestyle risk factor in renal patients; nevertheless, research on the association of physical activity (PA) with chronic kidney disease (CKD) is unclear. DESIGN Cross-sectional. SETTING We evaluated the secondary care related to the nephrology specialists. PARTICIPANTS We evaluated PA in 3374 Iranian patients with CKD aged ≥18 years. Exclusion criteria were current or prior kidney transplantation, dementia, institutionalisation, expected to start renal replacement therapy or leave the area within study duration, participation in a clinical trial or inability to undergo the informed consent process. PRIMARY AND SECONDARY OUTCOME The renal function parameters were measured and compared with PA, assessed by the Baecke questionnaire. Estimated glomerular filtration rate, haematuria and/or albuminuria were used to estimate decreased kidney function and the incidence of CKD. To estimate the relationship between PA and CKD, we used the multinomial adjusted regression models. RESULTS In the first model, findings indicate that the patients with the lowest PA score had significantly higher odds of CKD (OR 1.44, 95% CI 1.16 to 1.78; p=0.01), adjustment for age and sex attenuated this relationship (OR 1.25, 95% CI 1.56 to 1.78, p=0.04). Furthermore, adjusting for low-density lipoprotein, high-density lipoprotein, triglyceride, fasting blood glucose, body mass index, waist circumference, waist/hip ratio, coexisting diseases and smoking made this relationship insignificant (OR 1.23, 95% CI 0.97 to 1.55; p=0.076). After adjusting for potential confounders, we found that patients with lower PA have higher odds of CKD stage 2 (OR 1.62, 95% CI 1.13 to 2.32; p=0.008), no association with other CKD stages. CONCLUSION These data suggest that physical inactivity contributes to the risk of early CKD, so encouraging patients with CKD to maintain higher PA levels could be used as a simple and useful tool to decrease the risk of disease progression and its related burden.
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Affiliation(s)
- Firouzeh Moeinzadeh
- Isfahan Kidney Diseases Research Center, Department of Internal Medicine, Isfahan University of Medical Sciences, Isfahan, Iran (the Islamic Republic of)
| | - Media Babahajiani
- Student Research Committee, Vice Chancellor for Research and Technology, Kurdistan University of Medical Sciences, Sanandaj, Iran (the Islamic Republic of)
| | - Shiva Seirafian
- Isfahan Kidney Diseases Research Center, Department of Internal Medicine, Isfahan University of Medical Sciences, Isfahan, Iran (the Islamic Republic of)
| | - Marjan Mansourian
- Epidemiology and Biostatics Department, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran (the Islamic Republic of)
| | - Mojgan Mortazavi
- Isfahan Kidney Diseases Research Center, Department of Internal Medicine, Isfahan University of Medical Sciences, Isfahan, Iran (the Islamic Republic of)
| | - Shahrzad Shahidi
- Department of Internal Medicine, Isfahan University of Medical Sciences, Isfahan, Iran (the Islamic Republic of)
| | - Sahar Vahdat
- Isfahan Kidney Diseases Research Center, Isfahan University of Medical Sciences, Isfahan, Iran (the Islamic Republic of)
| | - Mohammad Saleki
- Department of Internal Medicine, Isfahan University of Medical Sciences, Isfahan, Iran (the Islamic Republic of)
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Leisure-time, occupational, and commuting physical activity and the risk of chronic kidney disease in a working population. Sci Rep 2021; 11:12308. [PMID: 34112832 PMCID: PMC8192894 DOI: 10.1038/s41598-021-91525-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Accepted: 05/28/2021] [Indexed: 11/09/2022] Open
Abstract
Physical activity has been linked to a lower risk of chronic kidney disease (CKD); however, evidence on the relationship between domain-specific physical activity and CKD is scarce. This study aimed to examine the risk of CKD in relation to leisure-time, occupational, and commuting physical activities in a large occupational cohort in Japan. Participants were 17,331 workers (20-65 years old) without CKD and were followed-up for a maximum period of 13 years. Incident CKD was defined as an estimated glomerular filtration rate of < 60 mL/min/1.73 m2 and/or proteinuria determined using the dipstick test. The Cox proportional hazards models were used to examine the associations. During 147,752 person-years of follow-up, 4013 participants developed CKD. Workers who were standing or walking at work and those who were fairly active at work had adjusted hazard ratios of 0.88 (95% confidence interval 0.86-0.96) and 0.89 (95% confidence interval 0.78-1.02), respectively, for developing CKD than sedentary workers. Leisure-time physical activity and walking for commute were not associated with CKD risk. Our findings suggest that occupational, but not leisure-time and commuting physical activities, is associated with a lower CKD risk.
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Nishimoto M, Murashima M, Yoshida H, Eriguchi M, Tasaki H, Fukata F, Kosugi T, Matsui M, Samejima KI, Iseki K, Asahi K, Yamagata K, Fujimoto S, Konta T, Narita I, Moriyama T, Kasahara M, Shibagaki Y, Kondo M, Watanabe T, Tsuruya K. Impact of self-reported walking habit on slower decline in renal function among the general population in a longitudinal study: the Japan Specific Health Checkups (J-SHC) Study. J Nephrol 2021; 34:1845-1853. [PMID: 33929690 DOI: 10.1007/s40620-021-01041-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Accepted: 03/23/2021] [Indexed: 12/28/2022]
Abstract
BACKGROUND Association between physical activity and decline in renal function among the general population is not fully understood. METHODS This is a longitudinal study on subjects who participated in the Japanese nationwide Specific Health Checkup program between 2008 and 2014. The exposure of interest was baseline self-reported walking habit. The outcomes were annual change and incidence of 30% decline in estimated glomerular filtration rate (eGFR). Changes in eGFR were compared using a linear mixed-effects model. Cox proportional hazard models were used to examine the association between self-reported walking habit and 30% decline in eGFR. RESULTS Among 332,166 subjects, 168,574 reported walking habit at baseline. The annual changes in eGFR [95% confidence interval (CI)] among subjects with and without baseline self-reported walking habit were - 0.17 (- 0.19 to - 0.16) and - 0.26 (- 0.27 to - 0.24) mL/min/1.73 m2/year, respectively (P for interaction between time and baseline self-reported walking habit, < 0.001). During a median follow-up of 3.3 years, 9166 of 314,489 subjects exhibited 30% decline in eGFR. The incidence of 30% decline in eGFR was significantly lower among subjects with self-reported walking habit after adjustment for potential confounders including time-varying blood pressure, body mass index, lipid profile, and hemoglobin A1c, with hazard ratio (95% CI) of 0.93 (0.89-0.97). Sensitivity analysis restricted to subjects with unchanged self-reported walking habit from baseline or analysis with time-varying self-reported walking habit yielded similar results. CONCLUSIONS Self-reported walking habit was associated with significantly slower decline in eGFR. This association appeared to be independent of its effects on metabolic improvement.
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Affiliation(s)
- Masatoshi Nishimoto
- Department of Nephrology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8521, Japan
| | - Miho Murashima
- Department of Nephrology, Nagoya City University Graduate School of Medical Sciences, Aichi, Japan
| | - Hisako Yoshida
- Department of Medical Statistics, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Masahiro Eriguchi
- Department of Nephrology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8521, Japan
| | - Hikari Tasaki
- Department of Nephrology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8521, Japan
| | - Fumihiro Fukata
- Department of Nephrology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8521, Japan
| | - Takaaki Kosugi
- Department of Nephrology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8521, Japan
| | - Masaru Matsui
- Department of Nephrology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8521, Japan
| | - Ken-Ichi Samejima
- Department of Nephrology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8521, Japan
| | - Kunitoshi Iseki
- Steering Committee of The Japan Specific Health Checkups (J-SHC) Study Group, Fukushima, Japan
| | - Koichi Asahi
- Steering Committee of The Japan Specific Health Checkups (J-SHC) Study Group, Fukushima, Japan
| | - Kunihiro Yamagata
- Steering Committee of The Japan Specific Health Checkups (J-SHC) Study Group, Fukushima, Japan
| | - Shouichi Fujimoto
- Steering Committee of The Japan Specific Health Checkups (J-SHC) Study Group, Fukushima, Japan
| | - Tsuneo Konta
- Steering Committee of The Japan Specific Health Checkups (J-SHC) Study Group, Fukushima, Japan
| | - Ichiei Narita
- Steering Committee of The Japan Specific Health Checkups (J-SHC) Study Group, Fukushima, Japan
| | - Toshiki Moriyama
- Steering Committee of The Japan Specific Health Checkups (J-SHC) Study Group, Fukushima, Japan
| | - Masato Kasahara
- Steering Committee of The Japan Specific Health Checkups (J-SHC) Study Group, Fukushima, Japan
| | - Yugo Shibagaki
- Steering Committee of The Japan Specific Health Checkups (J-SHC) Study Group, Fukushima, Japan
| | - Masahide Kondo
- Steering Committee of The Japan Specific Health Checkups (J-SHC) Study Group, Fukushima, Japan
| | - Tsuyoshi Watanabe
- Steering Committee of The Japan Specific Health Checkups (J-SHC) Study Group, Fukushima, Japan
| | - Kazuhiko Tsuruya
- Department of Nephrology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8521, Japan. .,Steering Committee of The Japan Specific Health Checkups (J-SHC) Study Group, Fukushima, Japan.
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Shen S, Suzuki K, Kohmura Y, Fuku N, Someya Y, Naito H. Engagement in different sport disciplines during university years and risk of locomotive syndrome in older age: J-Fit + Study. Environ Health Prev Med 2021; 26:36. [PMID: 33752592 PMCID: PMC7983270 DOI: 10.1186/s12199-021-00958-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 03/11/2021] [Indexed: 11/29/2022] Open
Abstract
Background Among former Olympic-level athletes, engagement in different sport disciplines has been associated with mortality risk in subsequent years. However, limited evidence is available on whether engagement in different sport disciplines at a young age is associated with locomotive syndrome (LS) risk later in life. This study examined the relationship between engagement in different sport disciplines during university years and LS risk in older age among former university athletes. Methods Participants were 274 middle-aged and 294 older men alumni who graduated from a school of physical education in Japan. LS risk was defined as answering “yes” to any of the Loco-check questions. Data on university sports club membership were collected using questionnaires. University clubs were classified into three groups of cardiovascular intensity (low, moderate, high), following the classification system of sport disciplines by the American College of Cardiology. This classification considers the static and dynamic components of an activity, which correspond to the estimated percent of maximal voluntary contraction reached and maximal oxygen uptake achieved, respectively. University clubs were grouped based on the risk of bodily collision (no, yes) and extent of physical contact (low, moderate, high). Relationships between engagement in different sport disciplines and LS risk were analyzed using Cox proportional hazards models, and adjusted for age, height, weight, joint disease, habitual exercise, and smoking and drinking status. Results Adjusted hazard ratios and 95% confidence intervals associated with the low, moderate, and high cardiovascular intensity sports were 1.00 (reference), 0.48 (0.22–1.06, P = 0.070), and 0.44 (0.20–0.97, P = 0.042) in older men, respectively; however, there was no significant association between these parameters among middle-aged men. Engagement in sports associated with physical contact and collision did not affect LS risk in either group. Conclusions Engagement in sports associated with high cardiovascular intensity during university years may reduce the risk of LS in later life. Encouraging young people to participate in such activities might help reduce LS prevalence among older populations. Supplementary Information The online version contains supplementary material available at 10.1186/s12199-021-00958-w.
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Affiliation(s)
- Shaoshuai Shen
- Institute of Health and Sports Science & Medicine, Juntendo University, 1-1 Hiraka-gakuendai, Inzai, Chiba, 270-1695, Japan.
| | - Koya Suzuki
- Graduate School of Health and Sports Science, Juntendo University, 1-1 Hiraka-gakuendai, Inzai, Chiba, 270-1695, Japan.
| | - Yoshimitsu Kohmura
- Graduate School of Health and Sports Science, Juntendo University, 1-1 Hiraka-gakuendai, Inzai, Chiba, 270-1695, Japan
| | - Noriyuki Fuku
- Graduate School of Health and Sports Science, Juntendo University, 1-1 Hiraka-gakuendai, Inzai, Chiba, 270-1695, Japan
| | - Yuki Someya
- Graduate School of Health and Sports Science, Juntendo University, 1-1 Hiraka-gakuendai, Inzai, Chiba, 270-1695, Japan.,Sportology Center, Graduate School of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Hisashi Naito
- Institute of Health and Sports Science & Medicine, Juntendo University, 1-1 Hiraka-gakuendai, Inzai, Chiba, 270-1695, Japan.,Graduate School of Health and Sports Science, Juntendo University, 1-1 Hiraka-gakuendai, Inzai, Chiba, 270-1695, Japan
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Kelly JT, Su G, Zhang L, Qin X, Marshall S, González-Ortiz A, Clase CM, Campbell KL, Xu H, Carrero JJ. Modifiable Lifestyle Factors for Primary Prevention of CKD: A Systematic Review and Meta-Analysis. J Am Soc Nephrol 2021; 32:239-253. [PMID: 32868398 PMCID: PMC7894668 DOI: 10.1681/asn.2020030384] [Citation(s) in RCA: 153] [Impact Index Per Article: 38.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Accepted: 07/20/2020] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Despite increasing incidence of CKD, no evidence-based lifestyle recommendations for CKD primary prevention apparently exist. METHODS To evaluate the consistency of evidence associating modifiable lifestyle factors and CKD incidence, we searched MEDLINE, Embase, CINAHL, and references from eligible studies from database inception through June 2019. We included cohort studies of adults without CKD at baseline that reported lifestyle exposures (diet, physical activity, alcohol consumption, and tobacco smoking). The primary outcome was incident CKD (eGFR<60 ml/min per 1.73 m2). Secondary outcomes included other CKD surrogate measures (RRT, GFR decline, and albuminuria). RESULTS We identified 104 studies of 2,755,719 participants with generally a low risk of bias. Higher dietary potassium intake associated with significantly decreased odds of CKD (odds ratio [OR], 0.78; 95% confidence interval [95% CI], 0.65 to 0.94), as did higher vegetable intake (OR, 0.79; 95% CI, 0.70 to 0.90); higher salt intake associated with significantly increased odds of CKD (OR, 1.21; 95% CI, 1.06 to 1.38). Being physically active versus sedentary associated with lower odds of CKD (OR, 0.82; 95% CI, 0.69 to 0.98). Current and former smokers had significantly increased odds of CKD compared with never smokers (OR, 1.18; 95% CI, 1.10 to 1.27). Compared with no consumption, moderate consumption of alcohol associated with reduced risk of CKD (relative risk, 0.86; 95% CI, 0.79 to 0.93). These associations were consistent, but evidence was predominantly of low to very low certainty. Results for secondary outcomes were consistent with the primary finding. CONCLUSIONS These findings identify modifiable lifestyle factors that consistently predict the incidence of CKD in the community and may inform both public health recommendations and clinical practice.
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Affiliation(s)
- Jaimon T. Kelly
- Menzies Health Institute Queensland, Griffith University, Gold Coast, Queensland, Australia
| | - Guobin Su
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden,Department of Nephrology, Guangdong Provincial Hospital of Chinese Medicine, The Second Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou City, Guangdong Province, China
| | - La Zhang
- Department of Nephrology, Guangdong Provincial Hospital of Chinese Medicine, The Second Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou City, Guangdong Province, China
| | - Xindong Qin
- Department of Nephrology, Guangdong Provincial Hospital of Chinese Medicine, The Second Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou City, Guangdong Province, China
| | - Skye Marshall
- Bond University Nutrition and Dietetics Research Group, Faculty of Health Science and Medicine, Bond University, Gold Coast, Queensland, Australia,Nutrition Research Australia, Sydney, New South Wales, Australia
| | - Ailema González-Ortiz
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden,Nephrology and Mineral Metabolism Department, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Catherine M. Clase
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada,Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Katrina L. Campbell
- Menzies Health Institute Queensland, Griffith University, Gold Coast, Queensland, Australia
| | - Hong Xu
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden,Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Juan-Jesus Carrero
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
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Guo C, Tam T, Bo Y, Chang LY, Lao XQ, Thomas GN. Habitual physical activity, renal function and chronic kidney disease: a cohort study of nearly 200 000 adults. Br J Sports Med 2020; 54:1225-1230. [PMID: 31969348 DOI: 10.1136/bjsports-2019-100989] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/10/2020] [Indexed: 11/04/2022]
Abstract
BACKGROUND There is limited information on the association between habitual physical activity (PA) and renal function. OBJECTIVE To report the longitudinal association between self-reported habitual PA and measures of renal function in a large cohort in Taiwan. METHODS A total of 199 421 participants (aged ≥20 years) were selected from a Taiwan cohort between 1996 and 2014. All participants underwent at least two standardised medical examinations between 1996 and 2014. Self-administrated questionnaires were used to collect information on habitual PA. We used a generalised linear mixed model to investigate the associations between habitual PA and yearly change in estimated glomerular filtration rate (eGFR). The Cox proportional hazard regression model was used to investigate the associations between habitual PA and incident chronic kidney disease (CKD). RESULTS Participants had a median follow-up duration of 4.2 years (0.2-18.9). The yearly mean (±SD) decrease in eGFR in participants with baseline very low-PA, low-PA, moderate-PA and high-PA was 0.46±1.01, 0.36±0.97, 0.30±0.94 and 0.27±0.91 mL/min/1.73 m2, respectively. Relative to the participants with very low-PA, the coefficients of yearly eGFR change were -43.93 (95% CI -79.18 to -8.68), 35.20 (95% CI -2.56 to 72.96) and 53.56 (95% CI 10.42 to 96.70) µL/min/1.73 m2, respectively, for the participants with low-PA, moderate-PA and high-PA, after controlling for a wide range of covariates. Relative to the very low-PA participants, those who had low-PA, moderate-PA and high-habitual PA had HRs of 0.93 (95% CI 0.88 to 0.98), 0.94 (95% CI 0.89 to 0.99) and 0.91 (95% CI 0.85 to 0.96) to develop CKD, respectively, after controlling for the covariates. CONCLUSIONS A higher level of habitual PA is associated with a smaller decrease in the level of eGFR and a lower risk of developing CKD.
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Affiliation(s)
- Cui Guo
- The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong
| | - Tony Tam
- Department of Sociology, The Chinese University of Hong Kong, Hong Kong, Hong Kong
| | - Yacong Bo
- The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong.,School of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Ly-Yun Chang
- Institute of Sociology, Academia Sinica, Taipei, Taiwan.,MJ Health Research Foundation, MJ Group, Taipei, Taiwan
| | - Xiang Qian Lao
- The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong .,Shenzhen Research Institute of the Chinese University of Hong Kong, Shenzhen, Guangdong, China
| | - G Neil Thomas
- Public Health, Epidemiology and Biostatistics, University of Birmingham, Birmingham, UK
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