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Ma Z, Geng H, Yang H, Meng G, Gu Y, Wu H, Zhang S, Zhang J, Wang X, Huang T, Niu K. Adherence to a healthy sleep pattern and risk of urologic cancers: A large prospective cohort study. Prev Med 2024; 179:107844. [PMID: 38176446 DOI: 10.1016/j.ypmed.2023.107844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Revised: 11/28/2023] [Accepted: 12/28/2023] [Indexed: 01/06/2024]
Abstract
OBJECTIVE A variety of unhealthy sleep behaviors have been shown to be associated with an increased risk of urologic cancers. However, little is known about the association between the overall sleep patterns and urologic cancers. To prospectively investigate the associations between a healthy sleep pattern and the risks of urologic cancers, including bladder cancer (BCa) and renal cell carcinoma (RCC). METHODS In this prospective cohort study, 377,144 participants free of cancer at baseline were recruited from the UK Biobank. Data on sleep behaviors were collected through questionnaires at recruitment. The incident urologic cancer cases were determined through linkage to national cancer and death registries. We established a healthy sleep score according to five sleep traits (sleep duration, chronotype, insomnia, snoring, and daytime sleepiness). Cox proportional hazard regression models were used to calculate the adjusted hazard ratios and 95% confidence intervals to assess the relationship between the healthy sleep score and the risk of urologic cancers. RESULTS During a median of ≥9 years of follow-up, we identified 1986 incident urologic cancer cases, including 1272 BCa cases and 706 RCC cases. Compared with the participants with a poor sleep pattern (score of 0-2), the multivariable-adjusted hazard ratio and 95% confidence interval were 0.85 (0.75 to 0.96) for urologic cancers, 0.80 (0.68 to 0.93) for BCa, and 0.91 (0.74, 1.12) for RCC, respectively, for those with the healthier sleep pattern (score of 4-5). CONCLUSION Our results indicate that a healthy sleep pattern is associated with lower risks of urologic cancers.
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Affiliation(s)
- Zheng Ma
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China; School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Hao Geng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China; School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Honghao Yang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China; School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; Department of Toxicology and Health Inspection and Quarantine, School of Public Health, Tianjin Medical University, Tianjin, China.
| | - Yeqing Gu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Shunming Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Juanjuan Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Xuena Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Tao Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China; School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China; Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
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Zhang D, Qu Y, Zhai S, Li T, Xie Y, Tao S, Zou L, Tao F, Wu X. Association between healthy sleep patterns and depressive trajectories among college students: a prospective cohort study. BMC Psychiatry 2023; 23:182. [PMID: 36941547 PMCID: PMC10026494 DOI: 10.1186/s12888-023-04596-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 02/07/2023] [Indexed: 03/23/2023] Open
Abstract
BACKGROUND The purpose of this study was to identify different develpment trajectories of depression symptoms during college period, and prospectively investigate the associations healthy sleep patterns with trajectories of depression symptoms among college students from freshman through junior year. METHODS A total of 999 participants from the College Student Behavior and Health Cohort Study were included between April 2019 and June 2021. Healthy sleep patterns were defined by chronotype, sleep duration, insomnia, snoring, and daytime sleepiness. Latent growth curve model was used to identify trajectories of depression symptoms. Then binary logistic regression was used to examine association of the healthy sleep patterns with these trajectories. RESULTS In baseline survey, we found that a total of 100 (10.0%) participants had healthy sleep patterns' score equal to 5. Then, we used 5 surveys' data to identify 2 distinct trajectories of depression symptoms during college (decreasing: 82.5%; increasing: 17.5%). The healthy sleep patterns were associated with these trajectories, the better healthy sleep patterns significantly decrease the risk of increasing trajectories of depression symptoms in males (OR: 0.72, 95%CI: 0.54 ~ 0.97, P = 0.031). Moreover, we found out that the healthy sleep patterns of college students can predict the future depressive symptoms in this study (all P < 0.001). CONCLUSION Our findings indicate that the better healthy sleep patterns may significantly decrease the risk of increasing trajectory of depression symptoms only in male college students. The results speak to a need for college student with depression symptoms to identify and address sleep problems when present, which could prevent or reduce depression detriments in later life.
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Affiliation(s)
- Dan Zhang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
- MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
| | - Yang Qu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
- MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
| | - Shuang Zhai
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
- MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
| | - Tingting Li
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
- MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
| | - Yang Xie
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
- MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
| | - Shuman Tao
- MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
| | - Liwei Zou
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
- MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
| | - Fangbiao Tao
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
- MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
| | - Xiaoyan Wu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China.
- MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China.
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China.
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China.
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He L, Ma T, Li J, Luo Y, Zhang G, Cheng X, Bai Y. Adherence to a Healthy Sleep Pattern and Incidence of Cardiometabolic Multimorbidity Among Hypertensive Patients: A Prospective Study of UK Biobank. Sleep 2022; 45:6615411. [PMID: 35738866 PMCID: PMC9548671 DOI: 10.1093/sleep/zsac141] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 06/13/2022] [Indexed: 11/15/2022] Open
Abstract
Study Objectives To investigate whether a healthy sleep pattern would reduce the risk of cardiometabolic multimorbidity (CMM) among hypertensives. Methods This is a prospective cohort analysis from the UK Biobank. A total of 69 524 hypertensives without a history of diabetes mellitus, coronary heart disease, or stroke at baseline were enrolled. Five dimensions of healthy sleep at baseline including early chronotype, sleep 7–8 h/d, free of insomnia, no snoring, and no frequent excessive daytime sleepiness were used to generate a healthy sleep score ranging from 0 to 5 (one point was given for each dimension of healthy sleep). A higher score indicated a healthier sleep pattern. We set five groups corresponding to the healthy sleep score of 5, 4, 3, 2, and 0–1, respectively. The primary outcome was the incidence of overall CMM among enrolled hypertensives. We assessed the adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) by Fine-Gray subdistribution hazard models. Results We found the full-adjusted HR (95% CI) for overall CMM was 0.93 (0.91–0.95) for a 1-point increase in the healthy sleep score. Compared to hypertensives with a healthy sleep score of 0–1, those with a score of 5 had a 27% lower risk of overall CMM, and 37%, 23%, and 20% lower risks of diabetes mellitus, coronary heart disease, and stroke, respectively, after adjusting for sociodemographic characteristic, lifestyle, and clinical factors. Conclusions Our results indicated that a healthy sleep pattern was associated with lower risks of CMM outcomes among hypertensives.
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Affiliation(s)
- Lingfang He
- Department of Geriatric Medicine, Center of Coronary Circulation, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Tianqi Ma
- Department of Geriatric Medicine, Center of Coronary Circulation, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Jinchen Li
- Department of Geriatric Medicine, Center of Coronary Circulation, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Yi Luo
- Department of Cardiovascular Medicine, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Guogang Zhang
- Department of Cardiovascular Medicine, Xiangya Hospital, Central South University, Changsha, China.,Department of Cardiovascular Medicine, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Xunjie Cheng
- Department of Geriatric Medicine, Center of Coronary Circulation, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Yongping Bai
- Department of Geriatric Medicine, Center of Coronary Circulation, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
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