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Chen WC, Yang HY. Impaired kidney function among young healthcare workers with long working hours and night work. Scand J Work Environ Health 2024; 50:380-388. [PMID: 38567910 PMCID: PMC11247656 DOI: 10.5271/sjweh.4159] [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: 11/27/2023] [Indexed: 06/28/2024] Open
Abstract
OBJECTIVES We aimed to evaluate the association between long working hours, night work, and estimated glomerular filtration rate (eGFR) among young healthcare workers. METHODS We conducted a retrospective cohort study among healthcare workers in a tertiary medical center in Taiwan from 2002 to 2021. Other than physicians, all hospital employees aged 20-65 years with documented yearly working hours and an annual blood test including creatinine were eligible. We excluded participants with eGFR <60 ml/min/1.73 m2 and proteinuria at enrollment to focus on early renal impairment. Total working hours, night working hours, and eGFR in each year were collected. We assessed the relationship of total working hours and night and non-night working hours with eGFR using the generalized linear mixed model, adjusting for demographic, comorbidities, and laboratory profiles. RESULTS The study included 10 677 participants with a mean age of 27.2 (standard deviation 7.1) years. The mean follow-up duration was 6.2 years. For every 10-hour increase in total weekly working hours, the eGFR decreased by 0.86 [95% confidence interval (CI) 0.61-1.11] ml/min/1.73 m2. For every 10-hour increase in weekly night working hours, the eGFR decreased by 0.25 (95% CI 0.07-0.42) ml/min/1.73 m2. In stratified analysis, the negative associations between total working hours and eGFR remained in the subgroups of individuals aged <40 years and those without hypertension or diabetes, with a P-value for interaction of <0.05. CONCLUSIONS Longer working hours and night work were associated with lower eGFR among healthcare workers.
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Affiliation(s)
| | - Hsiao-Yu Yang
- Institute of Environmental and Occupational Health Sciences, National Taiwan University College of Public Health, No. 17 Xuzhou Road, Zhongzheng Dist., Taipei, Taiwan.
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Xiong Y, Zhong Q, Zhang Y, Liu Z, Wang X. The association between circadian syndrome and chronic kidney disease in an aging population: a 4-year follow-up study. Front Endocrinol (Lausanne) 2024; 15:1338110. [PMID: 38737554 PMCID: PMC11082579 DOI: 10.3389/fendo.2024.1338110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 03/21/2024] [Indexed: 05/14/2024] Open
Abstract
Introduction Circadian syndrome (CircS) is proposed as a novel risk cluster based on reduced sleep duration, abdominal obesity, depression, hypertension, dyslipidemia and hyperglycemia. However, the association between CircS and chronic kidney disease (CKD) remains unclear. To investigate the cross-sectional and longitudinal association between CircS and CKD, this study was performed. Methods A national prospective cohort (China Health and Retirement Longitudinal Study, CHARLS) was used in this study. To define CKD, the estimated glomerular filtration rate (eGFR) was calculated based on the 2012 CKD-EPI creatinine-cystatin C equation. Participants with eGFR <60 mL.min-1/1.73/m2 were diagnosed with CKD. Multivariate binary logistic regression was used to assess the cross-sectional association between CircS and CKD. Subgroup and interactive analyses were performed to determine the interactive effects of covariates. In the sensitivity analysis, the obese population was excluded and another method for calculating the eGFR was used to verify the robustness of previous findings. In addition, participants without CKD at baseline were followed up for four years to investigate the longitudinal relationship between CircS and CKD. Results A total of 6355 participants were included in this study. In the full model, CircS was positively associated with CKD (OR = 1.28, 95% CI = 1.04-1.59, P < 0.05). As per one increase of CircS components, there was a 1.11-fold (95% CI = 1.04-1.18, P < 0.05) risk of prevalent CKD in the full model. A significant interactive effect of hyperuricemia in the CircS-CKD association (P for interaction < 0.01) was observed. Sensitivity analyses excluding the obese population and using the 2009 CKD-EPI creatinine equation to diagnose CKD supported the positive correlation between CircS and CKD. In the 2011-2015 follow-up cohort, the CircS group had a 2.18-fold risk of incident CKD (95% CI = 1.33-3.58, P < 0.01) in the full model. The OR was 1.29 (95% CI = 1.10-1.51, P < 0.001) with per one increase of CircS components. Conclusion CircS is a risk factor for CKD and may serve as a predictor of CKD for early identification and intervention.
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Affiliation(s)
- Yang Xiong
- Department of Urology and Andrology Laboratory, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Qian Zhong
- Department of Endocrinology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yangchang Zhang
- Department of Public Health, Capital Medical University, Beijing, China
| | - Zhihong Liu
- Department of Urology and Andrology Laboratory, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xianding Wang
- Department of Urology and Andrology Laboratory, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Kidney Transplant Center, Transplant Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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Molcan L, Babarikova K, Cvikova D, Kincelova N, Kubincova L, Mauer Sutovska H. Artificial light at night suppresses the day-night cardiovascular variability: evidence from humans and rats. Pflugers Arch 2024; 476:295-306. [PMID: 38177874 PMCID: PMC10847188 DOI: 10.1007/s00424-023-02901-0] [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: 10/04/2023] [Revised: 12/19/2023] [Accepted: 12/22/2023] [Indexed: 01/06/2024]
Abstract
Artificial light at night (ALAN) affects most of the population. Through the retinohypothalamic tract, ALAN modulates the activity of the central circadian oscillator and, consequently, various physiological systems, including the cardiovascular one. We summarised the current knowledge about the effects of ALAN on the cardiovascular system in diurnal and nocturnal animals. Based on published data, ALAN reduces the day-night variability of the blood pressure and heart rate in diurnal and nocturnal animals by increasing the nocturnal values of cardiovascular variables in diurnal animals and decreasing them in nocturnal animals. The effects of ALAN on the cardiovascular system are mainly transmitted through the autonomic nervous system. ALAN is also considered a stress-inducing factor, as glucocorticoid and glucose level changes indicate. Moreover, in nocturnal rats, ALAN increases the pressure response to load. In addition, ALAN induces molecular changes in the heart and blood vessels. Changes in the cardiovascular system significantly depend on the duration of ALAN exposure. To some extent, alterations in physical activity can explain the changes observed in the cardiovascular system after ALAN exposure. Although ALAN acts differently on nocturnal and diurnal animals, we can conclude that both exhibit a weakened circadian coordination among physiological systems, which increases the risk of future cardiovascular complications and reduces the ability to anticipate stress.
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Affiliation(s)
- Lubos Molcan
- Department of Animal Physiology and Ethology, Faculty of Natural Sciences, Comenius University, Ilkovicova 6, Bratislava, Slovakia
| | - Katarina Babarikova
- Department of Animal Physiology and Ethology, Faculty of Natural Sciences, Comenius University, Ilkovicova 6, Bratislava, Slovakia
| | - Diana Cvikova
- Department of Animal Physiology and Ethology, Faculty of Natural Sciences, Comenius University, Ilkovicova 6, Bratislava, Slovakia
| | - Natalia Kincelova
- Department of Animal Physiology and Ethology, Faculty of Natural Sciences, Comenius University, Ilkovicova 6, Bratislava, Slovakia
| | - Lenka Kubincova
- Department of Animal Physiology and Ethology, Faculty of Natural Sciences, Comenius University, Ilkovicova 6, Bratislava, Slovakia
| | - Hana Mauer Sutovska
- Department of Animal Physiology and Ethology, Faculty of Natural Sciences, Comenius University, Ilkovicova 6, Bratislava, Slovakia.
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Ko BS, Shin SY, Hong JE, Kim S, Yi J, Rhie J. Effect of night shift work on the reduction of glomerular filtration rate using data from Korea Medical Institute (2016-2020). Ann Occup Environ Med 2023; 35:e22. [PMID: 37614336 PMCID: PMC10442584 DOI: 10.35371/aoem.2023.35.e22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 04/19/2023] [Accepted: 05/27/2023] [Indexed: 08/25/2023] Open
Abstract
Background Shift work increases the risk of chronic diseases, including metabolic diseases. However, studies on the relationship between shift work and renal function are limited. The aim of this study was to investigate the association between shift work and a decreased glomerular filtration rate (GFR). Methods Data were evaluated for 1,324,930 workers who visited the Korean Medical Institute from January 1, 2016 to December 31, 2020 and underwent a health checkup. Daytime workers were randomly extracted at a ratio of 1:4 after matching for age and sex. In total, 18,190 workers aged over 40 years were included in the analyses; these included 3,638 shift workers and 14,552 daytime workers. Participants were categorized into the shift work group when they underwent a specific health checkup for night shift work or indicated that they were shift workers in the questionnaire. The odds ratio was calculated using a conditional logistic regression to investigate the relevance of shift work for changes in GFR. Results 35 workers in the shift group and 54 in the daytime group exhibited an estimated GFR (eGFR) value of < 60 mL/min/1.73m2 (p < 0.01). The difference in eGFR values between two checkups differed significantly depending on the type of work (p < 0.01); the difference in the shift work group (-9.64 mL/min/1.73 m2) was larger than that in the daytime work group (-7.45 mL/min/1.73 m2). The odds ratio for eGFR reduction to < 60 mL/min/1.73 m2 in the shift group versus the daytime group was 4.07 (95% confidence interval: 2.54-6.52), which was statistically significant. Conclusions The results of this study suggest that eGFR decreases by a significantly larger value in shift workers than in daytime workers; thus, shift work could be a contributing factor for chronic kidney disease (CKD). Further prospective studies are necessary to validate this finding and identify measures to prevent CKD in shift workers.
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Affiliation(s)
- Beom Seok Ko
- Department of Occupational and Environmental Medicine, Dankook University Hospital, Cheonan, Korea
| | | | - Ji Eun Hong
- Department of Occupational and Environmental Medicine, Dankook University Hospital, Cheonan, Korea
| | - Sungbeom Kim
- Department of Occupational and Environmental Medicine, Dankook University Hospital, Cheonan, Korea
| | - Jihhyeon Yi
- School of Medicine, CHA University, Seongnam, Korea
| | - Jeongbae Rhie
- Department of Occupational and Environmental Medicine, Dankook University Hospital, Cheonan, Korea
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Li C, Chen Y, Zhao W, Zhang C, Tang L, Ying Z, Chen W, Fu P, Song H, Zhou X, Zeng X. Genetic impact on the association of sleep patterns and chronic kidney disease: A prospective cohort study of 157,175 UK Biobank participants. J Psychosom Res 2023; 169:111323. [PMID: 37037154 DOI: 10.1016/j.jpsychores.2023.111323] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 02/20/2023] [Accepted: 03/22/2023] [Indexed: 04/12/2023]
Abstract
OBJECTIVES The association between sleep pattern and chronic kidney disease (CKD) incidence, and whether the association is dependent on the genetic backgrounds has not been addressed. We sought to investigate the association of multidimensional sleep pattern with CKD in consideration of genetic polymorphisms. METHODS In this prospective cohort study of 157,175 participants from the UK Biobank, sleep patterns were derived by multiple correspondence analysis (MCA) and k-means clustering of individual sleep traits (sleep duration, insomnia, chronotype, daytime sleepiness, snoring, and night shift status). Cox proportional hazard regression was used to estimate the association between sleep patterns and CKD incidence. Gene-environment-wide interaction study (GEWIS) was performed to detect whether gene polymorphisms were modifiers on this association. RESULTS Compared with "healthy sleep" pattern, increased CKD incidence was observed in the clusters with "long sleep duration" (hazard ratios (HR) 1.42, 95% confidence intervals (CI), 1.18-1.72) and "night shift" (HR 1.23, 95% CI, 1.05-1.45) patterns, but not with the "short sleep duration" pattern. By GEWIS, we identified 167 SNPs as suggestive effect modifiers that interacted with unhealthy sleep patterns and affected the risk of CKD. CONCLUSIONS Unhealthy sleep patterns, with features of long sleep duration and night shift, may increase the risk of CKD. The study highlights the interaction of sleep and individual genetic risk to affect health outcomes.
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Affiliation(s)
- Chunyang Li
- Kidney Research Institute, Biomedical Big Data Center, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China; Med-X Center for Informatics, Sichuan University, 17 Ren Min Nan Road 3(rd) section, Chengdu, Sichuan 610041, China
| | - Yilong Chen
- Kidney Research Institute, Biomedical Big Data Center, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China; Med-X Center for Informatics, Sichuan University, 17 Ren Min Nan Road 3(rd) section, Chengdu, Sichuan 610041, China
| | - Weiling Zhao
- School of Biomedical Informatics, The University of Texas Health Science Centre at Houston, 7000 Fannin Street, Houston, TX 77030, USA
| | - Chao Zhang
- Kidney Research Institute, Biomedical Big Data Center, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China; Med-X Center for Informatics, Sichuan University, 17 Ren Min Nan Road 3(rd) section, Chengdu, Sichuan 610041, China
| | - Lei Tang
- Division of Nephrology, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China
| | - Zhiye Ying
- Kidney Research Institute, Biomedical Big Data Center, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China; Med-X Center for Informatics, Sichuan University, 17 Ren Min Nan Road 3(rd) section, Chengdu, Sichuan 610041, China
| | - Wenwen Chen
- Kidney Research Institute, Biomedical Big Data Center, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China
| | - Ping Fu
- Kidney Research Institute, Biomedical Big Data Center, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China; Med-X Center for Informatics, Sichuan University, 17 Ren Min Nan Road 3(rd) section, Chengdu, Sichuan 610041, China
| | - Huan Song
- Med-X Center for Informatics, Sichuan University, 17 Ren Min Nan Road 3(rd) section, Chengdu, Sichuan 610041, China; Center of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavík, Iceland
| | - Xiaobo Zhou
- School of Biomedical Informatics, The University of Texas Health Science Centre at Houston, 7000 Fannin Street, Houston, TX 77030, USA
| | - Xiaoxi Zeng
- Kidney Research Institute, Biomedical Big Data Center, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China; Division of Nephrology, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China.
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Liu C, Li S, Ji S, Zhang J, Zheng F, Guan Y, Yang G, Chen L. Proximal tubular Bmal1 protects against chronic kidney injury and renal fibrosis by maintaining of cellular metabolic homeostasis. Biochim Biophys Acta Mol Basis Dis 2023; 1869:166572. [PMID: 36252941 DOI: 10.1016/j.bbadis.2022.166572] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 09/20/2022] [Accepted: 10/07/2022] [Indexed: 11/06/2022]
Abstract
Recent studies suggest that deletion of the core clock gene Bmal1 in the kidney has a significant influence on renal physiological functions. However, the role of renal Bmal1 in chronic kidney disease (CKD) remains poorly understood. Here by generating mice lacking Bmal1 in proximal tubule (Bmal1flox/flox-KAP-Cre+, ptKO) and inducing CKD with the adenine diet model, we found that lack of Bmal1 in proximal tubule did not alter renal water and electrolyte homeostasis. However, adenine-induced renal injury indexes, including blood urea nitrogen, serum creatinine, and proteinuria, were markedly augmented in the ptKO mice. The ptKO kidneys also developed aggravated tubulointerstitial fibrosis and epithelial-mesenchymal transformation. Mechanistically, RNAseq analysis revealed significant downregulation of the expression of genes related to energy and substance metabolism, in particular fatty acid oxidation and glutathione/homocysteine metabolism, in the ptKO kidneys. Consistently, the renal contents of ATP and glutathione were markedly reduced in the ptKO mice, suggesting the disruption of cellular metabolic homeostasis. Moreover, we demonstrated that Bmal1 can activate the transcription of cystathionine β-synthase (CBS), a key enzyme for homocysteine metabolism and glutathione biosynthesis, through direct recruitment to the E-box motifs of its promoter. Supporting the in vivo findings, knockdown of Bmal1 in cultured proximal tubular cells inhibited CBS expression and amplified albumin-induced cell injury and fibrogenesis, while glutathione supplementation remarkably reversed these changes. Taken together, we concluded that deletion of Bmal1 in proximal tubule may aggravate chronic kidney injury and exacerbate renal fibrosis, the mechanism is related to suppressing CBS transcription and disturbing glutathione related metabolic homeostasis. These findings suggest a protective role of Bmal1 in chronic tubular injury and offer a novel target for treating CKD.
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Affiliation(s)
- Chengcheng Liu
- Health Science Center, East China Normal University, Shanghai 200241, China; Advanced Institute for Medical Sciences, Dalian Medical University, Dalian 116044, China
| | - Shuyao Li
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian 116044, China
| | - Shuang Ji
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian 116044, China
| | - Jiayang Zhang
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian 116044, China
| | - Feng Zheng
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian 116044, China
| | - Youfei Guan
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian 116044, China
| | - Guangrui Yang
- School of Bioengineering, Dalian University of Technology, Dalian 116024, China
| | - Lihong Chen
- Health Science Center, East China Normal University, Shanghai 200241, China; Advanced Institute for Medical Sciences, Dalian Medical University, Dalian 116044, China.
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Aoun M, Chelala D. Where do you live and what do you do? Two questions that might impact your kidney health. FRONTIERS IN NEPHROLOGY 2022; 2:1011964. [PMID: 37675017 PMCID: PMC10479685 DOI: 10.3389/fneph.2022.1011964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 09/13/2022] [Indexed: 09/08/2023]
Abstract
In many cases the social determinants of health need to be assessed through their interaction with environmental factors. This review looks at the impact of physical location and occupation of individuals on their kidney health. It examines the effect of living at high altitude on kidney function and the relationship between extreme cold or hot temperatures and the incidence of kidney injury. It reviews as well the many occupations that have been linked to kidney disease in high-income and low-and-middle-income countries. As a conclusion, this overview proposes preventive recommendations that could be individualized based on weather, altitude, socio-economic level of the country and occupation of the individual.
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Affiliation(s)
- Mabel Aoun
- Faculty of Medicine, Saint-Joseph University, Beirut, Lebanon
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Yu M, Zhang S, Wang L, Feng H, Li X, Wu J, Yuan J. Association of Metabolically Healthy Obesity and Glomerular Filtration Rate among Male Steelworkers in North China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:11764. [PMID: 36142036 PMCID: PMC9517549 DOI: 10.3390/ijerph191811764] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 09/13/2022] [Accepted: 09/15/2022] [Indexed: 06/16/2023]
Abstract
This study aims to investigate the association between metabolically healthy obesity (MHO) and the early stages of renal dysfunction and whether systemic inflammation affects the study's outcome. Male steelworkers in northern China were investigated in this cross-sectional survey (n = 6309). A decrease in estimated glomerular filtration rate (eGFR) was used as the primary outcome, which was defined as an eGFR of ≤89 mL/min/1.73 m2. A BMI ≥ 25 kg/m2 was used to determine obesity. In the definition of metabolic health, the absence of metabolic syndrome components is considered metabolically healthy. An assessment of inflammation was carried out using a surrogate marker called high-sensitivity C-reactive protein (hs-CRP). The adjusted odds ratio (OR) and confidence intervals (CIs) were estimated using the multivariable logistic regression model. After adjusting for hs-CRP, MHO (OR = 1.97; 95% CI: 1.21 to 3.21) was significantly associated with decreased eGFR compared to metabolically healthy non-obesity (MHNO). With the MHNO/hs-CRP ≤ 0.01 mg/dL group as a reference, the OR was 2.17 (95% CI: 1.17 to 4.02) for decreased eGFR in the group with MHO/hs-CRP > 0.01 mg/dL. MHO is associated with renal dysfunction at an early stage. To some degree, this risk can be explained by the level of inflammation.
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Affiliation(s)
- Miao Yu
- Department of Epidemiology and Health Statistics, School of Public Health, North China University of Science and Technology, Tangshan 063210, China
| | - Shengkui Zhang
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical, Beijing 100005, China
| | - Lihua Wang
- Department of Epidemiology and Health Statistics, School of Public Health, North China University of Science and Technology, Tangshan 063210, China
| | - Hongman Feng
- Department of Epidemiology and Health Statistics, School of Public Health, North China University of Science and Technology, Tangshan 063210, China
| | - Xiaoming Li
- Department of Epidemiology and Health Statistics, School of Public Health, North China University of Science and Technology, Tangshan 063210, China
| | - Jianhui Wu
- Department of Epidemiology and Health Statistics, School of Public Health, North China University of Science and Technology, Tangshan 063210, China
| | - Juxiang Yuan
- Department of Epidemiology and Health Statistics, School of Public Health, North China University of Science and Technology, Tangshan 063210, China
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He H, Pan L, Hu Y, Tu J, Zhang L, Zhang M, Liu G, Yuan J, Ou Q, Sun Z, Nai J, Cui Z, Zhang J, Wang J, Wu J, Han X, Niu Y, Li X, Hou D, Yu C, Jiang C, Liu Q, Lin B, Shan G. The diverse life-course cohort (DLCC): protocol of a large-scale prospective study in China. Eur J Epidemiol 2022; 37:871-880. [PMID: 35856127 PMCID: PMC9294835 DOI: 10.1007/s10654-022-00894-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Accepted: 06/21/2022] [Indexed: 01/24/2023]
Abstract
The Diverse Life-Course Cohort (DLCC) is a large-scale prospective study including around 130,000 participants in mainland China. The primary aims of DLCC include contributing to knowledge on noncommunicable chronic disease determinants, particularly cardiometabolic diseases, and exploring the long-term effect of ambient air pollutants or other environmental risk factors on health among all-age populations. The cohort consists of several sub-populations that cover the whole life-course and diverse resources: from premarital to adolescents, adults from workplace and communities ranged from 18 to 93 years old. Baseline assessment (2017–2021) included face-to-face standardized questionnaire interview and measurements to assess social and biological factors of health. Blood samples were collected from each participant (except for children younger than 6) to establish the biobank. DLCC consists of two visits. Visit 1 was conducted from 2017, and 114850 individuals from one of the world-class urban agglomerations: Beijing, Tianjin, and Hebei area were recruited. By the end of 2021, at least one follow-up was carried out, with an overall follow-up rate of 92.33%. In 2021, we initiated Visit 2, newly recruited 9,866 adults from Guangdong province (South China) and Hebei province (Central China), with research focuses on the comparations on ambient pollution hazards and other unique dietary or environmental risks for health. The baseline survey of Visit 2 was finished in July 2021. DLCC is still ongoing with a long-term follow-up design, and not limited by the current funding period. With reliable data and the well-established biobank which consists of over 120,000 individuals’ blood samples, DLCC will provide invaluable resources for scientific research.
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Affiliation(s)
- Huijing He
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, School of Basic Medicine, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Li Pan
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, School of Basic Medicine, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Yaoda Hu
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, School of Basic Medicine, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Ji Tu
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, School of Basic Medicine, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Ling Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
| | - Minying Zhang
- School of Medicine, Nankai University, Tianjin, China
| | - Gongshu Liu
- Tianjin Women's and Children's Health Center, Tianjin, China
| | - Juxiang Yuan
- School of Public Health, North China University of Science and Technology, Tangshan, Hebei, China
- Hebei Province Key Laboratory of Occupational Health and Safety for Coal Industry, North China University of Science and Technology, Tangshan, Hebei, China
| | - Qiong Ou
- Sleep Center, Department of Pulmonary and Critical Care Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong Provincial Geriatrics Institute, Guangzhou, China
| | - Zhiwei Sun
- Department of Preventive Medicine, School of Public Health, Hebei University, Baoding, Hebei, China
| | - Jing Nai
- Clinical Laboratory, Bejing Hepingli Hospital, Beijing, China
| | - Ze Cui
- Hebei Provicel Center for Diseases Prevention and Control, Shijiazhuang, Hebei, China
| | - Jingbo Zhang
- Beijing Physical Examination Center, Beijing, China
| | - Jing Wang
- Tianjin Women's and Children's Health Center, Tianjin, China
| | - Jianhui Wu
- School of Public Health, North China University of Science and Technology, Tangshan, Hebei, China
- Hebei Province Key Laboratory of Occupational Health and Safety for Coal Industry, North China University of Science and Technology, Tangshan, Hebei, China
| | - Xiaoyan Han
- Chaoyang District Center for Disease Control and Prevention, Beijing, China
| | - Yujie Niu
- Hebei Key Laboratory of Environment and Human Health, Shijiazhuang, China
- Department of Occupational Health and Environmental Health, Hebei Medical University, Shijiazhuang, China
| | - Xiaoming Li
- School of Public Health, North China University of Science and Technology, Tangshan, Hebei, China
- Hebei Province Key Laboratory of Occupational Health and Safety for Coal Industry, North China University of Science and Technology, Tangshan, Hebei, China
| | - Dongqing Hou
- Department of Epidemiology, Capital Institute of Pediatrics, Beijing, China
- Child Health Big Data Research Center, Capital Institute of Pediatrics, Beijing, China
| | - Chengdong Yu
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, School of Basic Medicine, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Chenchen Jiang
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, School of Basic Medicine, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Qihang Liu
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, School of Basic Medicine, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Binbin Lin
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, School of Basic Medicine, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Guangliang Shan
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, School of Basic Medicine, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
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Fang Y, Son S, Yang J, Oh S, Jo SK, Cho W, Kim MG. Perturbation of Circadian Rhythm Is Associated with Increased Prevalence of Chronic Kidney Disease: Results of the Korean Nationwide Population-Based Survey. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:5732. [PMID: 35565131 PMCID: PMC9102791 DOI: 10.3390/ijerph19095732] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 05/02/2022] [Accepted: 05/06/2022] [Indexed: 02/01/2023]
Abstract
Disturbances in circadian rhythms cause several health problems, such as psychosis, metabolic syndrome, and cancer; however, their effect on kidney disease remains unclear. This study aimed to evaluate the association between chronic kidney disease (CKD) and sleep disturbance in a Korean adult population. A total of 17,408 participants who completed the National Health and Nutrition Examination Survey from 2016 to 2018 were assessed for their sleep patterns and renal function. CKD was defined as an estimated glomerular filtration rate ≤ 60 mL/min/1.73 m² or a positive dipstick urinalysis. Sleep onset time and sleep duration showed significant differences between the control and CKD groups (p < 0.001). After adjusting for the covariates, sleep onset time rather than sleep duration was independently associated with incidence of CKD, and this association was more significant in people who were older, in women, and in those with low body mass index and no comorbidities. When comparing the prevalence of newly diagnosed CKD according to sleep onset time in a population with no CKD risk factors or no history of CKD, the early bedtime group showed an independent association with incidence of new CKD (odds ratio (OR), 1.535; 95% confidence interval (CI), 1.011−2.330) even after adjusting for covariates. Impaired circadian rhythm along with sleep disturbance could be associated with CKD development; therefore, sleep disturbance might be an important therapeutic target for CKD.
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Affiliation(s)
- Yina Fang
- Department of Internal Medicine, Korea University Anam Hospital, Seoul 02841, Korea; (Y.F.); (J.Y.); (S.O.); (S.-K.J.); (W.C.)
| | - Serhim Son
- Department of Biostatistics, Korea University College of Medicine, Seoul 02842, Korea;
| | - Jihyun Yang
- Department of Internal Medicine, Korea University Anam Hospital, Seoul 02841, Korea; (Y.F.); (J.Y.); (S.O.); (S.-K.J.); (W.C.)
| | - Sewon Oh
- Department of Internal Medicine, Korea University Anam Hospital, Seoul 02841, Korea; (Y.F.); (J.Y.); (S.O.); (S.-K.J.); (W.C.)
| | - Sang-Kyung Jo
- Department of Internal Medicine, Korea University Anam Hospital, Seoul 02841, Korea; (Y.F.); (J.Y.); (S.O.); (S.-K.J.); (W.C.)
| | - Wonyong Cho
- Department of Internal Medicine, Korea University Anam Hospital, Seoul 02841, Korea; (Y.F.); (J.Y.); (S.O.); (S.-K.J.); (W.C.)
| | - Myung-Gyu Kim
- Department of Internal Medicine, Korea University Anam Hospital, Seoul 02841, Korea; (Y.F.); (J.Y.); (S.O.); (S.-K.J.); (W.C.)
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Zhang S, Wang H, Wang Y, Yu M, Yuan J. Association of Rotating Night Shift Work with Body Fat Percentage and Fat Mass Index among Female Steelworkers in North China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18126355. [PMID: 34208238 PMCID: PMC8296160 DOI: 10.3390/ijerph18126355] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 06/09/2021] [Accepted: 06/10/2021] [Indexed: 12/29/2022]
Abstract
The aim of this study was to evaluate the associations of rotating night shift work with body fat percentage (BF%) and fat mass index (FMI). A cross-sectional study was conducted among 435 female steelworkers, aged 26-57 years in Tangshan, China. BF% was assessed via bioelectrical impedance analysis and FMI was calculated. Different exposure metrics of night shift work were used to examine the effects of night shift work on BF% and FMI. The duration (years), cumulative number (nights), and cumulative length of night shifts (hours) were positively correlated with FMI and BF%, and these relationships were independent of body mass index (BMI). Compared with day workers, night shift workers with an average frequency of night shifts >7 nights/month (odds ratio (OR) 2.50, 95% confidence interval (CI) 1.17 to 5.35) and percentage of hours on night shifts >30% (OR 2.55, 95% CI 1.21 to 5.39) had elevated odds of obesity (BF% ≥ 35.0%). Nonobese night shift workers by the BMI criterion should also be alert to the risk of the excess accumulation of body fat, which is actually responsible for most obesity-associated adverse health consequences. Health interventions for related populations need to be improved, which is currently more focused on overall weight control.
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Affiliation(s)
- Shengkui Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, North China University of Science and Technology, Tangshan 063210, China; (S.Z.); (H.W.); (M.Y.)
| | - Han Wang
- Department of Epidemiology and Health Statistics, School of Public Health, North China University of Science and Technology, Tangshan 063210, China; (S.Z.); (H.W.); (M.Y.)
| | - Yongbin Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Xinxiang Medical University, Xinxiang 453003, China;
| | - Miao Yu
- Department of Epidemiology and Health Statistics, School of Public Health, North China University of Science and Technology, Tangshan 063210, China; (S.Z.); (H.W.); (M.Y.)
| | - Juxiang Yuan
- Department of Epidemiology and Health Statistics, School of Public Health, North China University of Science and Technology, Tangshan 063210, China; (S.Z.); (H.W.); (M.Y.)
- Correspondence: ; Tel.: +86-0315-8805578
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Lee Y, Seo E, Mun E, Lee W. A longitudinal study of working hours and chronic kidney disease in healthy workers: The Kangbuk Samsung Health Study. J Occup Health 2021; 63:e12266. [PMID: 34382284 PMCID: PMC8357818 DOI: 10.1002/1348-9585.12266] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 07/23/2021] [Accepted: 07/24/2021] [Indexed: 11/18/2022] Open
Abstract
OBJECTIVES Long working hours are linked to an increased risk of exposure to work safety hazards that threaten the health of workers. To date, only a few cross-sectional studies regarding the relationship between working characteristics, such as over-workload and chronic kidney disease (CKD) have been reported. Therefore, in this longitudinal study, we aimed to examine the direct relationship between long working hours and the incidence of CKD. METHODS We included 97 856 participants without CKD in the Kangbuk Samsung Health Study. Using a self-report questionnaire, we evaluated weekly working hours, which were categorized into 35-40, 41-52, and >52 hours. CKD was defined as estimated glomerular filtration rate <60 mL/min/1.73 m2 . Hazard ratios (HRs) and 95% confidence intervals (CIs) for incident CKD were estimated using Cox proportional hazards regression analyses with weekly working 35-40 hours as the reference. RESULTS During a median follow-up of 4.0 years, 185 participants developed incident CKD (incidence density, 4.83 per 104 person-years). Multivariable-adjusted HRs (95% CI) of incident CKD for weekly working >52 hours compared with working 35-40 hours were 1.99 (1.22-3.25). In subgroup analyses, the significant association between working >52 hours and incident CKD was consistently observed in groups of age ≥40 years, men, and obesity with no interaction. CONCLUSIONS Our large-scale cohort study of young- to middle-aged men and women demonstrated a significant association between long working hours and an increased risk of incident CKD.
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Affiliation(s)
- Yesung Lee
- Department of Occupational and Environmental MedicineKangbuk Samsung HospitalSchool of MedicineSungkyunkwan UniversitySeoulKorea
| | - Eunhye Seo
- Department of Occupational and Environmental MedicineKangbuk Samsung HospitalSchool of MedicineSungkyunkwan UniversitySeoulKorea
| | - Eunchan Mun
- Department of Occupational and Environmental MedicineKangbuk Samsung HospitalSchool of MedicineSungkyunkwan UniversitySeoulKorea
| | - Woncheol Lee
- Department of Occupational and Environmental MedicineKangbuk Samsung HospitalSchool of MedicineSungkyunkwan UniversitySeoulKorea
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