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Wang M, Xiang X, Zhao Z, liu Y, Cao Y, Guo W, Hou L, Jiang Q. Association between self-reported napping and risk of cardiovascular disease and all-cause mortality: A meta-analysis of cohort studies. PLoS One 2024; 19:e0311266. [PMID: 39413101 PMCID: PMC11482734 DOI: 10.1371/journal.pone.0311266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2024] [Accepted: 09/16/2024] [Indexed: 10/18/2024] Open
Abstract
OBJECTIVES This meta-analysis aims to assess the association between adult nap duration and risk of all-cause mortality and cardiovascular diseases (CVD). METHODS PubMed, Cochrane Library, Embase and Web of Science databases were searched to identify eligible studies. The quality of observational studies was assessed using the Newcastle-Ottawa Scale. We performed all statistical analyses using Stata software version 14.0. For the meta-analysis, we calculated hazard ratio (HR) and their corresponding 95% confidence intervals (CIs). To assess publication bias, we used a funnel plot and Egger's test. RESULTS A total of 21 studies involving 371,306 participants revealed varying methodological quality, from moderate to high. Those who indulged in daytime naps faced a significantly higher mortality risk than non-nappers (HR: 1.28; 95% CI: 1.18-1.38; I2 = 38.8%; P<0.001). Napping for less than 1 hour showed no significant association with mortality (HR: 1.00; 95% CI: 0.90-1.11; I2 = 62.6%; P = 0.971). However, napping for 1 hour or more correlated with a 1.22-fold increased risk of mortality (HR: 1.22; 95% CI: 1.12-1.33; I2 = 40.0%; P<0.001). The risk of CVD associated with napping was 1.18 times higher than that of non-nappers (HR: 1.18; 95% CI: 1.02-1.38; I2 = 87.9%; P = 0.031). Napping for less than 1 hour did not significantly impact CVD risk (HR: 1.03; 95% CI: 0.87-1.12; I2 = 86.4%; P = 0.721). However, napping for 1 hour or more was linked to a 1.37-fold increased risk of CVD (HR: 1.37; 95% CI: 1.09-1.71; I2 = 68.3%; P = 0.007). CONCLUSIONS Our meta-analysis indicates that taking a nap increases the risk of overall mortality and CVD mortality. It highlights that the long duration time of the nap can serve as a risk factor for evaluating both overall mortality and cardiovascular mortality.
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Affiliation(s)
- Meng Wang
- Department of Nursing, Faculty of Medicine & Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia
| | - Xin Xiang
- College of Acupuncture and Massage, Changchun University of Chinese Medicine, Changchun City, Jilin Province, China
| | - Zhengyan Zhao
- Department of Endocrinology, Zhengzhou Seventh People’s Hospital, Zhengzhou City, Henan Province, China
| | - Yu liu
- Emergency Medicine Department of the Second Mobile Contingent Hospital of the Chinese People’s Armed Police Forces, Wuxi City, Jiangsu Province, China
| | - Yang Cao
- Department of Nursing, Faculty of Medicine & Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia
| | - Weiwei Guo
- Department of Nursing, Faculty of Medicine & Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia
| | - Linlin Hou
- Henan Provincial People’s Hospital, Zhengzhou City, Henan Province, China
| | - Qiuhuan Jiang
- Henan Provincial People’s Hospital, Zhengzhou City, Henan Province, China
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Yang YB, Zheng YB, Sun J, Yang LL, Li J, Gong YM, Li MZ, Wen X, Zhao HY, Shi PP, Yu GH, Yu ZL, Chen Y, Yuan K, Deng JH, Li SX, Yang YF, Zhang ZH, Vitiello MV, Shi J, Wang YM, Shi L, Lu L, Bao YP. To nap or not? Evidence from a meta-analysis of cohort studies of habitual daytime napping and health outcomes. Sleep Med Rev 2024; 78:101989. [PMID: 39153335 DOI: 10.1016/j.smrv.2024.101989] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 05/18/2024] [Accepted: 07/22/2024] [Indexed: 08/19/2024]
Abstract
Habitual daytime napping is a common behavioral and lifestyle practice in particular countries and is often considered part of a normal daily routine. However, recent evidence suggests that the health effects of habitual daytime napping are controversial. We systematically searched PubMed, Web of Science, Embase, and Cochrane Library databases from inception to March 9, 2024, to synthesize cohort studies of napping and health outcome risk. A total of 44 cohort studies with 1,864,274 subjects aged 20-86 years (mean age 56.4 years) were included. Overall, habitual napping increased the risk of several adverse health outcomes, including all-cause mortality, cardiovascular disease, metabolic disease, and cancer, and decreased the risk of cognitive impairment and sarcopenia. Individuals with a napping duration of 30 min or longer exhibited a higher risk of all-cause mortality, cardiovascular disease, and metabolic disease, whereas those with napping durations less than 30 min had no significant risks. No significant differences in napping and health risks were observed for napping frequency, percentage of nappers, sample size, sex, age, body mass index, follow-up years, or comorbidity status. These findings indicate that individuals with a long napping duration should consider shortening their daily nap duration to 30 min or less.
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Affiliation(s)
- Ying-Bo Yang
- The First Affiliated Hospital of Xinxiang Medical University, Henan, China
| | - Yong-Bo Zheng
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China; Peking-Tsinghua Centre for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
| | - Jie Sun
- Pain Medicine Center, Peking University Third Hospital, Beijing, China
| | - Lu-Lu Yang
- The First Affiliated Hospital of Xinxiang Medical University, Henan, China
| | - Jiao Li
- The First Affiliated Hospital of Xinxiang Medical University, Henan, China
| | - Yi-Miao Gong
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Ming-Zhe Li
- Peking-Tsinghua Centre for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
| | - Xin Wen
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Hao-Yun Zhao
- Peking-Tsinghua Centre for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
| | - Pei-Pei Shi
- Taiyuan Central Hospital of Shanxi Medical University, Taiyuan, China
| | - Gui-Hua Yu
- Peking-Tsinghua Centre for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
| | - Zhou-Long Yu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Yu Chen
- The First Affiliated Hospital of Xinxiang Medical University, Henan, China
| | - Kai Yuan
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Jia-Hui Deng
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Su-Xia Li
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China
| | - Yong-Feng Yang
- The Second Affiliated Hospital of Xinxiang Medical University (Henan Mental Hospital) , China; Henan Engineering Research Center of Physical Diagnostics and Treatment Technology for the Mental and Neurological Diseases, China
| | - Zhao-Hui Zhang
- The First Affiliated Hospital of Xinxiang Medical University, Henan, China
| | - Michael V Vitiello
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA
| | - Jie Shi
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China
| | - Yu-Mei Wang
- Institute of Brain Science and Brain-inspired Research, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, China; Department of Psychology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
| | - Le Shi
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China.
| | - Lin Lu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China; Peking-Tsinghua Centre for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China; National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China; Institute of Brain Science and Brain-inspired Research, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, China.
| | - Yan-Ping Bao
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China; School of Public Health, Peking University, Beijing, China.
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Barber LE, McCullough LE, Johnson DA. Eyes Wide Open: Sleep as a Potential Contributor to Racial and Ethnic Disparities in Cancer. Cancer Epidemiol Biomarkers Prev 2024; 33:471-479. [PMID: 38270540 PMCID: PMC10990828 DOI: 10.1158/1055-9965.epi-23-1117] [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: 09/13/2023] [Revised: 11/05/2023] [Accepted: 01/22/2024] [Indexed: 01/26/2024] Open
Abstract
U.S. racial and ethnic minoritized groups face disproportionate cancer burdens compared to White Americans. Investigating modifiable factors, such as sleep, that are socially patterned and inequitably distributed by race and ethnicity may advance understanding of cancer disparities and provide intervention opportunities. Emerging data suggest poor sleep health is associated with cancer. Yet, its contribution to racial and ethnic cancer disparities is understudied. In this narrative review, we explored the sleep-cancer relation through a disparities lens. We (i) summarized literature reporting on associations between sleep and cancer among racial and ethnic minority populations; (ii) examined potential sleep-cancer mechanisms; and (iii) discussed future directions. We identified five studies reporting on sleep-cancer associations among minoritized groups. Poor sleep health was associated with aggressive breast cancer among Black women, increased breast cancer risk among Asian women, and increased risk of breast and total cancer among Hispanic/Latinx Americans. Sleep and cancer disparities have similar socioeconomic and behavioral determinants, suggesting racial and ethnic minoritized groups may be vulnerable to poor sleep health and its adverse health impacts. Evidence indicates that the sleep-cancer disparities relation is an emerging, but important area of research that warrants further investigation, as sleep may be an avenue for reducing cancer disparities.
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Affiliation(s)
- Lauren E. Barber
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA
| | - Lauren E. McCullough
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA
| | - Dayna A. Johnson
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA
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Nong J, Tong J, Wang R, Shi K, Zhang Y. Associations of sleep disorders with all-cause and cause-specific mortality in cancer survivors: a cross-sectional analysis of the NHANES 2005-2016. BMC Psychiatry 2024; 24:118. [PMID: 38347467 PMCID: PMC10863252 DOI: 10.1186/s12888-024-05589-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 02/05/2024] [Indexed: 02/15/2024] Open
Abstract
BACKGROUND The circadian clock and endoplasmic reticulum stress signaling play important roles in oncogenesis and development of cancer. Sleep disorders have been linked to an elevated risk of mortality in general populations. Nonetheless, the evidence for the sleep disorders-mortality association among cancer patients is limited. We aimed to prospectively investigate the association of sleep disorders with all-cause, cancer, and cardiovascular disease (CVD) mortality among cancer individuals. METHODS We assessed 3187 participants with cancer from the National Health and Nutrition Examination Survey 2005-2016 cohorts with a median follow-up time of 83.0 months. Multivariable Cox proportional hazards models estimated the adjusted hazard ratio (HR) and 95% confidence interval (CI). RESULTS Multivariable Cox proportional hazards models showed that sleep disorders were associated with a higher risk of all-cause mortality (HR 1.23, 95%CI: 1.06,1.42), cancer mortality (HR 1.30, 95%CI: 1.02, 1.66), and cardiovascular disease mortality (HR 1.35, 95%CI: 1.02, 1.80). After the total group was stratified by gender, the high HRs were observed in men (P < 0.05), not in women. The correlation between sleep disorders and higher long-term mortality was also significant after individuals who died within 2 years of follow-up were excluded, with HR 1.24 (95%CI: 1.07, 1.45) in model I, HR 1.20 (95%CI: 1.02, 1.42) in model II for long-term all-cause mortality, HR (95%CI: 1.00, 1.74) in model I for long-term cancer mortality, and HR 1.5 (95%CI:1.12, 2.02) in model I, HR 1.45 (95%CI: 1.06, 1.99) in model II for long-term CVD mortality. CONCLUSIONS Sleep disorders were associated with a higher risk of all-cause mortality, cancer mortality, and CVD mortality, as well as long-term mortality in cancer patients. Our finding underlies the importance of screening for sleep disorders for all cancer survivors and the urge to integrate sleep health as an important part of cancer care more effectively. Male individuals may be particularly vulnerable and could benefit from more frequent screening.
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Affiliation(s)
- Jingying Nong
- Department of Thoracic Surgery, Xuanwu Hospital, Capital Medical University, Changchun Street 45#, Beijing, 100053, China.
| | - Jinzhuo Tong
- Experimental School of Beihang University, Xueyuan Road 37#, Beijing, 100083, China
| | - Ruotian Wang
- Department of Thoracic Surgery, Xuanwu Hospital, Capital Medical University, Changchun Street 45#, Beijing, 100053, China
| | - Kejian Shi
- Department of Thoracic Surgery, Xuanwu Hospital, Capital Medical University, Changchun Street 45#, Beijing, 100053, China
| | - Yi Zhang
- Department of Thoracic Surgery, Xuanwu Hospital, Capital Medical University, Changchun Street 45#, Beijing, 100053, China
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Wang L, Wang Y, Shu H, Wang K, Wang Y, Zhou P, Wang K, Luo S, Zhang Y. Association of Midday Napping with All-Cause Mortality in Chinese Adults: A 8-Year Nationwide Cohort Study. Behav Med 2023; 49:321-330. [PMID: 35451936 DOI: 10.1080/08964289.2022.2061411] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 03/21/2022] [Accepted: 03/29/2022] [Indexed: 11/02/2022]
Abstract
This study aimed to investigate the longitudinal association of estimated daytime nap duration with all-cause mortality in Chinese adults. We conceived a prospective cohort design using adult survey data of the baseline and four follow-up waves (2010-2019) from China Family Panel Studies. Cox frailty models with random intercepts for surveyed provinces were used to estimate risks of all-cause mortality associated with midday napping. Trend and subgroup analyses were also performed stratified by demographic, regional and behavioral factors. Compared with non-nappers, those who reported a long napping duration (≥60 min/day) had an increased risk of all-cause mortality, while shorter napping (<60 min) showed no association with mortality. We observed significant trends for greater risks of mortality associated with longer nap duration. Long nap-associated higher risk of all-cause mortality was seen in a group of nocturnal sleep duration ≥9 h. We identified stronger associations of long nap with mortality among adults aged over 50 years, those with lower BMI (<24 kg/m2), residents in rural regions and unregular exercisers. Long midday napping is independently associated with higher risks of all-cause mortality in Chinese adults.
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Affiliation(s)
- Lu Wang
- Department of Nursing, Medical College, Wuhan University of Science and Technology, Wuhan, China
| | - Yiting Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Hainan Shu
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Kai Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Yaru Wang
- Department of Nursing, Medical College, Wuhan University of Science and Technology, Wuhan, China
| | - Peixuan Zhou
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Ke Wang
- Department of Nursing, Medical College, Wuhan University of Science and Technology, Wuhan, China
| | - Siqi Luo
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Yunquan Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan, China
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Long L, Zhao L, Petrick JL, Liao LM, Huang T, Hakim A, Yang W, Campbell PT, Giovannucci E, McGlynn KA, Zhang X. Daytime napping, nighttime sleeping duration, and risk of hepatocellular carcinoma and liver disease-related mortality. JHEP Rep 2023; 5:100819. [PMID: 37691690 PMCID: PMC10482745 DOI: 10.1016/j.jhepr.2023.100819] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 05/10/2023] [Accepted: 05/18/2023] [Indexed: 09/12/2023] Open
Abstract
Background & Aims Sleep duration has been linked to metabolic dysfunction and chronic inflammation, which may contribute to the development of liver cancer and chronic liver disease (CLD). However, little is known about the relationship between sleep or napping duration and hepatocellular carcinoma (HCC) risk and CLD mortality. Methods We followed 295,837 individuals in the National Institutes of Health-American Association of Retired Persons (NIH-AARP) Diet and Health Study. We examined the associations of nighttime sleep duration and daytime napping duration with risk of HCC incidence and CLD mortality. Cox proportional hazards regression was used to calculate multivariable hazard ratios (HRs) and 95% confidence intervals (95% CIs). Results A total of 357 incident HCC cases and 578 CLD deaths were identified after a median follow-up time of 15.5 years. After adjusting for confounder factors, we found U-shaped associations of nighttime sleep duration with the incidence of HCC (HR<5 vs. 7-8 h = 2.00, 95% CI: 1.22-3.26 and HR≥9 vs. 7-8 h = 1.63, 95% CI: 1.04-2.65) and CLD mortality (HR<5 vs. 7-8 h = 1.78, 95% CI: 1.18-2.69 and HR≥9 vs. 7-8 h = 1.91, 95% CI: 1.35-2.70). Daytime napping was associated with higher risk of HCC (HR≥1 vs. non-nappers = 1.46, 95% CI: 1.04-2.06) and higher CLD mortality (HR≥1 h vs. non-nappers = 1.54, 95% CI: 1.18-2.01) compared with no napping. Conclusions We observed U-shaped associations for nighttime sleeping and risk of HCC and CLD mortality. Additionally, longer daytime napping duration was associated with higher risk of HCC and CLD death. Our study suggests that clinical follow up of individuals at risk for liver cancer or living with a liver disease should include information on nighttime and daytime sleep. Impact and implications Sleep or napping duration may play a role in the development of liver cancer and chronic liver disease, but little is known about the relationship between them. In addition, abnormal sleep patterns in patients with chronic liver disease may further promote the development of liver disease, creating a vicious cycle. Our study suggests that clinical follow up of individuals at risk for liver cancer or living with a liver disease should include information on nighttime and daytime sleep, as they can be potentially important factors in the development and progression of liver disease.
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Affiliation(s)
- Lu Long
- Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Longgang Zhao
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | | | - Linda M. Liao
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Tianyi Huang
- Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Aaron Hakim
- Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Gastroenterology and Hepatology, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Wanshui Yang
- Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Nutrition, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Peter T. Campbell
- Department of Population Science, American Cancer Society, Atlanta, Georgia, USA
| | - Edward Giovannucci
- Department of Nutrition, T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Department of Epidemiology, T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Katherine A. McGlynn
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Xuehong Zhang
- Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Nutrition, T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
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Ramezanzade Tabriz E, Ramezani M, Heydari A, Aledavood SA. Health-Promoting Lifestyle among the Survivors of Colorectal Cancer: An Integrative Review. J Caring Sci 2023; 12:201-210. [PMID: 38020738 PMCID: PMC10663441 DOI: 10.34172/jcs.2023.31768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 09/03/2022] [Indexed: 12/01/2023] Open
Abstract
Introduction Health-promoting lifestyle (HPL) among the survivors of colorectal cancer (CRC) is essential to reduce CRC complications, prevent its recurrence, and improve survival. Nonetheless, there is no comprehensive definition for the concept of HPL in CRC survivors. This study aimed to define the concept of HPL among CRC survivors based on the existing literature. Methods This integrative review was conducted in 2021 using Whittemore and Knafl's method. The national and international databases of SID, Magiran, ProQuest, Medline, ScienceDirect, Web of Science, and Scopus were searched. Quality appraisal was performed using the Mixed Methods Appraisal Tool (MMAT) and the data were analyzed using the four-step approach proposed by Whittemore and Knafl. Results After data evaluation, 167 documents were included in final analysis. In total, 1863 codes were generated and categorized into eighteen main categories and the three main themes of antecedents, attributes, and consequences. Accordingly, HPL among CRC survivors was defined as "a set of behaviors in the areas of health responsibility, physical activity, nutrition, spiritual growth, psychological management, and interpersonal relations which are affected by socio-demographic characteristics, clinical characteristics, psychological status, physical conditions, time and place limitations, and patient education, and lead to better disease prognosis, better general health status, better bio-psycho-social status, and better quality of life". Conclusion The definition of HPL among CRC survivors provided in the present study can be used in counseling, educational, supportive, and care programs for CRC survivors in order to improve their quality of life and survival.
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Affiliation(s)
- Elahe Ramezanzade Tabriz
- Department of Medical-Surgical Nursing, School of Nursing and Midwifery, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Monir Ramezani
- Nursing and Midwifery Care Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
- Department of Pediatric Nursing, School of Nursing and Midwifery, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Abbas Heydari
- Nursing and Midwifery Care Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
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Sun C, Xu H, Wang S, Li K, Qin P, Liang B, Xu L. Lifestyle, clinical and histological indices-based prediction models for survival in cancer patients: a city-wide prospective cohort study in China. J Cancer Res Clin Oncol 2023; 149:9965-9978. [PMID: 37256382 DOI: 10.1007/s00432-023-04888-8] [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: 04/04/2023] [Accepted: 05/19/2023] [Indexed: 06/01/2023]
Abstract
PURPOSE We developed a nomogram to predict 3-year, 5-year and 7-year cancer survival rates of cancer patients. METHODS This prospective cohort study included 20,491 surviving patients first diagnosed with cancer in Guangzhou from 2010 to 2019. They were divided into a training and a validation group. Lifestyle, clinical and histological parameters (LCH) were included in multivariable Cox regression. Akaike information criterion was used to select prediction factors for the nomogram. The discrimination and calibration of models were assessed by concordance index (C-index), area under time-dependent receiver operating characteristic curve (time-dependent AUC), and calibration plots. We used net reclassification index (NRI) and integrated discrimination improvement (IDI) to compare the clinical utility of LCH prediction model with the prediction model based on lifestyle factors (LF). RESULTS 13 prediction factors including age, sex, BMI, smoking status, physical activity, sleep duration, regular diet, tumor grading, TNM stage, multiple primary cancer and anatomical site were included in the LCH model. The LCH model showed satisfactory discrimination and calibration (C-index = 0.81 (95% CI 0.80-0.82) for training group and 0.80 (0.79-0.81) for validation group, both time-dependent AUC > 0.70). The LF model including smoking status, physical activity, sleep duration, regular diet, and BMI showed less satisfactory discrimination (C-index = 0.60 (95% CI 0.59-0.61) for training and 0.60 (0.58-0.62) for validation group). The LCH model had better accuracy and discriminative ability than the LF model, as indicated by positive NRI and IDI values. CONCLUSIONS The LCH model shows good accuracy, clinical utility and precise prognosis prediction, and may serve as a tool to predict cancer survival of cancer patients.
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Affiliation(s)
- Ce Sun
- Department of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Huan Xu
- Chronic Noncommunicable Disease Prevention and Control Department, Guangzhou Center for Disease Control and Prevention, No.1 Qide Road, Baiyun District, Guangzhou, 510403, China
| | - Suixiang Wang
- Chronic Noncommunicable Disease Prevention and Control Department, Guangzhou Center for Disease Control and Prevention, No.1 Qide Road, Baiyun District, Guangzhou, 510403, China
| | - Ke Li
- The Operation Management Department, Guangzhou Center for Disease Control and Prevention, Guangzhou, 510403, China
| | - Pengzhe Qin
- Chronic Noncommunicable Disease Prevention and Control Department, Guangzhou Center for Disease Control and Prevention, No.1 Qide Road, Baiyun District, Guangzhou, 510403, China
| | - Boheng Liang
- Chronic Noncommunicable Disease Prevention and Control Department, Guangzhou Center for Disease Control and Prevention, No.1 Qide Road, Baiyun District, Guangzhou, 510403, China.
| | - Lin Xu
- Department of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China.
- School of Public Health, University of Hong Kong, Hong Kong, China.
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Lee S, Ma C, Shi Q, Meyers J, Kumar P, Couture F, Kuebler P, Krishnamurthi S, Lewis D, Tan B, O'Reilly EM, Shields AF, Meyerhardt JA. Sleep and cancer recurrence and survival in patients with resected Stage III colon cancer: findings from CALGB/SWOG 80702 (Alliance). Br J Cancer 2023; 129:283-290. [PMID: 37179438 PMCID: PMC10338523 DOI: 10.1038/s41416-023-02290-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Revised: 04/13/2023] [Accepted: 04/19/2023] [Indexed: 05/15/2023] Open
Abstract
BACKGROUND We sought to assess the influences of sleep duration, sleep adequacy, and daytime sleepiness on survival outcomes among Stage III colon cancer patients. METHODS We conducted a prospective observational study of 1175 Stage III colon cancer patients enrolled in the CALGB/SWOG 80702 randomised adjuvant chemotherapy trial who completed a self-reported questionnaire on dietary and lifestyle habits 14-16 months post-randomisation. The primary endpoint was disease-free survival (DFS), and secondary was overall survival (OS). Multivariate analyses were adjusted for baseline sociodemographic, clinical, dietary and lifestyle factors. RESULTS Patients sleeping ≥9 h-relative to 7 h-experienced a worse hazard ratio (HR) of 1.62 (95% confidence interval (CI), 1.01-2.58) for DFS. In addition, those sleeping the least (≤5 h) or the most (≥ 9 h) experienced worse HRs for OS of 2.14 (95% CI, 1.14-4.03) and 2.34 (95% CI, 1.26-4.33), respectively. Self-reported sleep adequacy and daytime sleepiness showed no significant correlations with outcomes. CONCLUSIONS Among resected Stage III colon cancer patients who received uniform treatment and follow-up within a nationwide randomised clinical trial, very long and very short sleep durations were significantly associated with increased mortality. Interventions targeting optimising sleep health among indicated colon cancer patients may be an important method by which more comprehensive care can be delivered. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT01150045.
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Affiliation(s)
| | - Chao Ma
- Department of Medical Oncology, Dana-Farber/Partners CancerCare, Boston, MA, USA
| | - Qian Shi
- Alliance Statistics and Data Management Center, Mayo Clinic, Rochester, MN, USA
| | - Jeffrey Meyers
- Alliance Statistics and Data Management Center, Mayo Clinic, Rochester, MN, USA
| | | | | | - Philip Kuebler
- Columbus NCI Community Oncology Research Program, Columbus, OH, USA
| | | | | | - Benjamin Tan
- Siteman Cancer Center, Washington University School of Medicine, Saint Louis, MO, USA
| | - Eileen M O'Reilly
- Memorial Sloan Kettering Cancer Center, Weill Cornell Medical Center, New York, NY, USA
| | | | - Jeffrey A Meyerhardt
- Department of Medical Oncology, Dana-Farber/Partners CancerCare, Boston, MA, USA.
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10
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Guo J, Li A, Chen M, Wei D, Wu J, Wang T, Hu Y, Lin Y, Xu X, Yang L, Wen Y, Li H, Xie X, Wu S. Association of longitudinal patterns of nighttime sleep duration and daytime napping duration with risk of multimorbidity. Sleep Health 2023; 9:363-372. [PMID: 37076420 DOI: 10.1016/j.sleh.2023.02.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 01/14/2023] [Accepted: 02/15/2023] [Indexed: 04/21/2023]
Abstract
OBJECTIVES To determine whether longitudinal trajectories of nighttime sleep duration and daytime napping duration are related to subsequent multimorbidity risk. To explore whether daytime napping can compensate for negative effects of short nighttime sleep. METHODS The current study included 5262 participants from China Health and Retirement Longitudinal Study. Self-reported nighttime sleep duration and daytime napping duration were collected from 2011 to 2015. The 4-year sleep duration trajectories were conducted by group-based trajectory modeling. The 14 medical conditions were defined by self-reported physician diagnoses. Multimorbidity was diagnosed as participants with 2 or more of the 14 chronic diseases after 2015. Associations between sleep trajectories and multimorbidity were assessed by Cox regression models. RESULTS During 6.69 years of follow-up, we observed multimorbidity in 785 participants. Three nighttime sleep duration trajectories and three daytime napping duration trajectories were identified. Participants with persistent short nighttime sleep duration trajectory had the higher risk of multimorbidity (hazard ratio = 1.37, 95% confidence interval: 1.06-1.77), compared with those with persistent recommended nighttime sleep duration trajectory. Participants with persistent short nighttime sleep duration and persistent seldom daytime napping duration had the highest risk of multimorbidity (hazard ratio = 1.69, 95% confidence interval: 1.16-2.46). CONCLUSIONS In this study, persistent short nighttime sleep duration trajectory was associated with subsequent multimorbidity risk. Daytime napping could compensate for the risk of insufficient night sleep.
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Affiliation(s)
- Jianhui Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou 350122, China
| | - Aina Li
- Department of Cardiology, The First Affiliated Hospital of Fujian Medical University, Fuzhou 350001, China
| | - Mingjun Chen
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou 350122, China
| | - Donghong Wei
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou 350122, China
| | - Jieyu Wu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou 350122, China
| | - Tinggui Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou 350122, China
| | - Yuduan Hu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou 350122, China
| | - Yawen Lin
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou 350122, China
| | - Xingyan Xu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou 350122, China
| | - Le Yang
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou 350122, China
| | - Yeying Wen
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou 350122, China
| | - Huangyuan Li
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou 350122, China.
| | - Xiaoxu Xie
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou 350122, China.
| | - Siying Wu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou 350122, China.
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11
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Hernandez R, Schneider S, Pham L, Pyatak EA. Across and Within- Individual Associations Between Everyday Activities and Quality of Life Relevant Measures, in Workers with Type 1 Diabetes. APPLIED RESEARCH IN QUALITY OF LIFE 2023; 18:1-23. [PMID: 37359223 PMCID: PMC10116107 DOI: 10.1007/s11482-023-10171-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 04/06/2023] [Indexed: 06/28/2023]
Abstract
Relationships between activity engagement and health related quality of life (HRQOL) can differ based on the level of analyses. For instance, greater exercise on average may be linked with lower fatigue across individuals (between-person level), whereas the momentary experience of exercise may be associated with increased fatigue within an individual (within-person level). Disentangling the between- and within-person associations between everyday activities and HRQOL outcomes may provide insights for personalized lifestyle-oriented health promotion efforts for individuals with chronic conditions. The purpose of this paper was to examine the between- and within-person relationships between activity engagement and HRQOL relevant measures in a sample of 92 workers with type 1 diabetes (T1D), from whom we collected ecological momentary assessment (EMA) data 5-6 times daily over 14 days. At each EMA prompt, information was collected on the activity participants just engaged in, and HRQOL relevant metrics (e.g. mental health, blood glucose, fatigue, functioning). Momentary reports of "caring for others", and more frequently "caring for others", were both associated with decreased HRQOL. Reporting napping 10% or more of the time during a person's waking hours, but not the momentary experience of napping, was associated with decreased HRQOL. Momentary reports of sleeping were associated with low activity satisfaction relative to other activities, but higher activity importance. Study results provided a quantitative representation of the lived experience of T1D covering multiple types of activity engagement, which potentially has health promotion implications for workers with T1D. Supplementary Information The online version contains supplementary material available at 10.1007/s11482-023-10171-2.
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Affiliation(s)
- Raymond Hernandez
- Dornsife Center for Economic & Social Research, University of Southern California, 635 Downey Way, VPD 405, Los Angeles, CA 90089-3332 USA
| | - Stefan Schneider
- Dornsife Center for Economic & Social Research, University of Southern California, 635 Downey Way, VPD 405, Los Angeles, CA 90089-3332 USA
- Department of Psychology, University of Southern California, Los Angeles, CA 90089 USA
| | - Loree Pham
- Chan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA 90089 USA
| | - Elizabeth A. Pyatak
- Chan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA 90089 USA
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12
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Pre-Diagnosis Sleep Status and Survival after a Diagnosis of Ovarian Cancer: A Prospective Cohort Study. J Clin Med 2022; 11:jcm11236914. [PMID: 36498489 PMCID: PMC9741188 DOI: 10.3390/jcm11236914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 11/19/2022] [Accepted: 11/21/2022] [Indexed: 11/25/2022] Open
Abstract
Objective: To explore if pre-diagnosis sleep status is associated with overall survival (OS) of ovarian cancer (OC). Methods: This is a prospective cohort study of 853 OC patients newly diagnosed between 2015 and 2020. Sleep status was measured by the Pittsburgh Sleep Quality Index (PSQI). Vital status of patients was obtained through active follow-up and linkage to medical records and cancer registry. The Cox proportional hazards regression model was utilized to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) for aforementioned associations. Results: During the follow-up period (median: 37.57 months, interquartile: 25.00 to 50.17 months), 123 (18.39%) OC patients died. The HR (95%CI) for OS of OC was 2.13 (1.42−3.18) for sleeping after 22:00, compared with sleeping before 22:00; 2.43 (1.64−3.62) for poor sleep quality, compared to good sleep quality; 2.26 (1.37−3.72) for late bed-early rise and 1.93 (1.09−3.42) for late bed-late rise, compared with early bed-early rise; 0.40 (0.24−0.67) for night sleep duration of ≥7.5 h/day, compared with 7−7.5 h/day; 0.53 (0.29−0.98) for total sleep duration of ≥8 h/day, compared with 7.5−8 h/day. Further, the interaction effects were significant between residual lesions and wake-up time, night bedtime, sleep pattern, and between total sleep duration and menopausal status, parity. Additionally, there was a significant curvilinear association between PSQI score and OS (p nonlinear <0.05). Conclusions: Pre-diagnosis longer total and night sleep duration were associated with better OS, whereas later sleeping time, poor sleep quality, and bad sleep patterns were associated with poor OS among OC survivors.
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13
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Sleep pattern, healthy lifestyle and colorectal cancer incidence. Sci Rep 2022; 12:18317. [PMID: 36316431 PMCID: PMC9622719 DOI: 10.1038/s41598-022-21879-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 10/05/2022] [Indexed: 11/07/2022] Open
Abstract
Researchers have identified an association between lifestyle factors and colorectal cancer (CRC) risk. This study examined the relationship between sleep patterns and CRC events. 392,252 individuals were sampled from the UK Biobank. Chronotype, sleep duration, insomnia, snoring, and excessive daytime sleepiness were combined to measure a healthy sleep score. A number of healthy sleep factors were defined, along with factors for healthy lifestyle scores. Using Cox proportional hazards regression, computed hazard ratios (HRs) were used to examine the associations between sleep patterns, healthy lifestyles, and the incidence of CRC. Healthy sleep scores were inversely associated with CRC events. The HRs for CRC were 0.90 (95% CI, 0.88-0.92) and 0.95 (95% CI, 0.92-0.98) for a 1-point healthy sleep score increase among males and females. When analyzing sleep components, sleeping 7-8 h/day, no frequent insomnia, no snoring, and no frequent daytime sleepiness were independently associated with a 9%, 14%, 8%, and 14% lower risk of CRC, respectively, whilst healthy lifestyle scores were inversely associated with CRC incidence across all models. Sleep pattern and lifestyle are significantly correlated with CRC risk. The healthier the subject's lifestyle and sleep pattern, the lower their CRC risk.
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14
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Sun J, Ma C, Zhao M, Magnussen CG, Xi B. Daytime napping and cardiovascular risk factors, cardiovascular disease, and mortality: A systematic review. Sleep Med Rev 2022; 65:101682. [PMID: 36027794 DOI: 10.1016/j.smrv.2022.101682] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 07/20/2022] [Accepted: 07/26/2022] [Indexed: 10/15/2022]
Abstract
Associations between night sleep duration and cardiovascular risk factors in adults have been well documented. However, the associations for daytime napping remain unclear. In this review, six databases were searched for eligible publications to April 8, 2022. A total of 11 articles were identified for umbrella review on the association of daytime napping with diabetes, metabolic syndrome (MetS), cardiovascular disease (CVD), and mortality in adults, 97 for systematic review on the association with CVD and several CVD risk factors. Our umbrella review showed that the associations of daytime napping with diabetes, MetS, CVD, and mortality in most meta-analyses were mainly supported by weak or suggestive evidence. Our systematic review showed that long daytime napping (≥1 h/d) was associated with higher odds of several CVD risk factors, CVD, and mortality, but no significant association was found between short daytime napping and most of the abovementioned outcomes. Our dose-response meta-analyses showed that daytime napping <30 min/d was not significantly associated with higher odds of most CVD risk factors and CVD among young and middle-aged adults. However, among older adults aged >60 years, we observed significant dose-response associations of daytime napping with higher odds of diabetes, dyslipidemia, MetS, and mortality starting from 0 min/d.
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Affiliation(s)
- Jiahong Sun
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Chuanwei Ma
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Min Zhao
- Department of Nutrition and Food Hygiene, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Costan G Magnussen
- Baker Heart and Diabetes Institute, Melbourne, Australia; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland; Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Bo Xi
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
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15
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Circadian and chemotherapy-related changes in urinary modified nucleosides excretion in patients with metastatic colorectal cancer. Sci Rep 2021; 11:24015. [PMID: 34907230 PMCID: PMC8671418 DOI: 10.1038/s41598-021-03247-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Accepted: 11/01/2021] [Indexed: 11/29/2022] Open
Abstract
Urinary levels of modified nucleosides reflect nucleic acids turnover and can serve as non-invasive biomarkers for monitoring tumour circadian dynamics, and treatment responses in patients with metastatic colorectal cancer. In 39 patients, median overnight urinary excretion of LC-HRMS determinations of pseudouridine, was ~ tenfold as large as those of 1-methylguanosine, 1-methyladenosine, or 4-acetylcytidine, and ~ 100-fold as large as those of adenosine and cytidine. An increase in any nucleoside excretion after chemotherapy anticipated plasma carcinoembryonic antigen progression 1–2 months later and was associated with poor survival. Ten fractionated urines were collected over 2-days in 29 patients. The median value of the rhythm-adjusted mean of urinary nucleoside excretion varied from 64.3 for pseudouridine down to 0.61 for cytidine. The rhythm amplitudes relative to the 24-h mean of 6 nucleoside excretions were associated with rest duration, supporting a tight link between nucleosides turnover and the rest-activity rhythm. Moreover, the amplitude of the 1-methylguanosine rhythm was correlated with the rest-activity dichotomy index, a significant predictor of survival outcome in prior studies. In conclusion, urinary excretion dynamics of modified nucleosides appeared useful for the characterization of the circadian control of cellular proliferation and for tracking early responses to treatments in colorectal cancer patients.
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16
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Cao Z, Xu C, Yang H, Li S, Wang Y. The Role of Healthy Lifestyle in Cancer Incidence and Temporal Transitions to Cardiometabolic Disease. JACC CardioOncol 2021; 3:663-674. [PMID: 34988474 PMCID: PMC8702801 DOI: 10.1016/j.jaccao.2021.09.016] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 09/12/2021] [Accepted: 09/15/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Cardiometabolic disease, including cardiovascular disease (CVD) and type 2 diabetes (T2D), can result in serious late effects in patients with cancer. Preventing long-term complications in this population is an increasingly important priority in public health and clinical practice. OBJECTIVES The aim of this study was to investigate the role of a healthy lifestyle in the transition from a healthy status to the development of cancer and subsequent CVD and T2D. METHODS The analysis was based on data from the UK Biobank and included 2 subsamples: a cancer-free cohort of 397,136 individuals in the general population and a cancer-prevalent cohort of 35,564 patients with cancer. All participants were 40 to 70 years of age and were free of CVD and T2D at recruitment. A healthy lifestyle that included no current smoking, regular physical activity, a healthy diet, and moderate alcohol consumption and sleep duration were included in a healthy lifestyle index (HLI). RESULTS In the cancer-free cohort, during a maximum follow-up period of 15 years, 6.38% and 4.18% of patients with cancer developed CVD and T2D, respectively. A healthy lifestyle significantly mitigated the risk for transition from cancer to subsequent CVD and T2D, with HRs per 1-point increment in HLI of 0.90 (95% CI: 0.86-0.94) and 0.84 (95% CI: 0.79-0.89), respectively. In the cancer-prevalent cohort, each 1-point increment in HLI was similarly associated with lower risk for CVD (HR: 0.90; 95% CI: 0.87-0.93) and T2D (HR: 0.87; 95% CI: 0.83-0.91) in cancer survivors. CONCLUSIONS A healthy lifestyle is associated with a slower transition from cancer development to the subsequent development of CVD and T2D. Moreover, among patients with cancer, a healthy lifestyle is associated with lower risk for CVD and T2D. This study highlights the practical benefits of adherence to a healthy lifestyle.
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Affiliation(s)
- Zhi Cao
- School of Public Health, Tianjin Medical University, Tianjin, China.,Department of Big Data in Health Science, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China
| | - Chenjie Xu
- Department of Health Policy and Management, School of Public Health, Hangzhou Normal University, Hangzhou, China
| | - Hongxi Yang
- School of Public Health, Tianjin Medical University, Tianjin, China
| | - Shu Li
- School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yaogang Wang
- School of Public Health, Tianjin Medical University, Tianjin, China
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17
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Tabriz ER, Ramezani M, Heydari A, Aledavood SA. Health-Promoting Lifestyle in Colorectal Cancer Survivors: A Qualitative Study on the Experiences and Perspectives of Colorectal Cancer Survivors and Healthcare Providers. Asia Pac J Oncol Nurs 2021; 8:696-710. [PMID: 34790854 PMCID: PMC8522596 DOI: 10.4103/apjon.apjon-2132] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Accepted: 07/28/2021] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVE Understanding the experiences of survivors and healthcare providers about health-promoting lifestyle (HPL) in colorectal cancer (CRC) survivors is important in planning for coping with the disease, managing treatment side effects, increasing survival, and improving quality of life (QOL). This study was conducted to explore the experiences and perspectives of CRC survivors and healthcare providers about HPL in CRC survivors. METHODS This descriptive qualitative study was performed in 2020 at Omid and Imam Reza Hospitals in Mashhad, Iran. Participants were CRC survivors (n = 12) and healthcare providers (n = 33) who were selected by purposive sampling. Data were collected using in-depth semi-structured interview by face to face and then analyzed by Zhang and Wildemuth content analysis method. MaxQDA software was used to organize the data. RESULTS Following the treatment of cancer, CRC survivors seek to make changes in lifestyle and they choose a HPL that maintains or improves their health. HPL in CRC survivors includes nutrition, activity and rest, health responsibility, interpersonal relations, spiritual growth, and psychological management. The results showed that HPL can lead to motivation, the ability to self-care and improve daily performance, reduce treatment complications, and increase the QOL. CONCLUSIONS CRC survivors can help change their lifestyle patterns with healthy eating, treatment adherence, regular physical activity, and good sleep habits. Furthermore, effective personal and social relationships, spiritual growth, and management of psychological disorders develop health-promoting behaviors in them. CRC survivors also face challenges and limitations in their life after treatment; identifying the components of a HPL in CRC survivors can lead to desirable care, treatment, education, and counseling services.
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Affiliation(s)
- Elahe Ramezanzade Tabriz
- Department of Medical Surgical Nursing, School of Nursing and Midwifery, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Monir Ramezani
- Nursing and Midwifery Care Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Abbas Heydari
- Nursing and Midwifery Care Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Seyed Amir Aledavood
- Cancer Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
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18
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Papantoniou K, Castaño-Vinyals G, Espinosa A, Turner MC, Martín-Sánchez V, Casabonne D, Aragonés N, Gómez-Acebo I, Ardanaz E, Jimenez-Moleon JJ, Amiano P, Molina-Barceló A, Alguacil J, Fernández-Tardón G, Huerta JM, Hernández-Segura N, Perez-Gomez B, Llorca J, Vidán-Alli J, Olmedo-Requena R, Gil L, Castañon-López C, Pollan M, Kogevinas M, Moreno V. Sleep duration and napping in relation to colorectal and gastric cancer in the MCC-Spain study. Sci Rep 2021; 11:11822. [PMID: 34083698 PMCID: PMC8175745 DOI: 10.1038/s41598-021-91275-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Accepted: 05/20/2021] [Indexed: 12/13/2022] Open
Abstract
Sleep duration is a novel and potentially modifiable risk factor for cancer. We evaluated the association of self-reported sleep duration and daytime napping with odds of colorectal and gastric cancer. We included 2008 incident colorectal cancer cases, 542 gastric cancer cases and 3622 frequency-matched population controls, recruited in the MCC-Spain case-control study (2008-2013). Sleep information, socio-demographic and lifestyle characteristics were obtained through personal interviews. Multivariable adjusted logistic regression models were used to estimate odds ratios (OR) with 95% confidence intervals (CI) for cancer, across categories of sleep duration (≤ 5, 6, 7, 8, ≥ 9 hours/day), daytime napping frequency (naps/week) and duration (minutes/nap). Compared to 7 hours of sleep, long sleep was associated with increased odds of colorectal (OR≥9 hours: 1.59; 95%CI 1.30-1.94) and gastric cancer (OR≥9 hours: 1.95; 1.37-2.76); short sleep was associated with increased odds of gastric cancer (OR≤5 hours: 1.32; 0.93-1.88). Frequent and long daytime naps increased the odds of colorectal (OR6-7 naps/week, ≥30 min: 1.32; 1.14-1.54) and gastric cancer (OR6-7 naps/week, ≥30 min: 1.56; 1.21-2.02). Effects of short sleep and frequent long naps were stronger among participants with night shift-work history. Sleep and circadian disruption may jointly play a role in the etiology of colorectal and gastric cancer.
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Affiliation(s)
- Kyriaki Papantoniou
- Department of Epidemiology, Center of Public Health, Medical University of Vienna, Kinderspitalgasse 15, 1090, Vienna, Austria.
- ISGlobal, Barcelona, Spain.
| | - Gemma Castaño-Vinyals
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Ana Espinosa
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Michelle C Turner
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- McLaughlin Centre for Population Health Risk Assessment, University of Ottawa, Ottawa, ON, Canada
| | - Vicente Martín-Sánchez
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Biomedicine Institute (IBIOMED), University of León, Leon, Spain
| | - Delphine Casabonne
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Unit of Molecular and Genetic Epidemiology in Infections and Cancer (UNIC-Molecular), Cancer Epidemiology Research Programme, IDIBELL, Catalan Institute of Oncology, Hospitalet de Llobregat, Barcelona, Spain
| | - Nuria Aragonés
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Epidemiology Section, Public Health Division, Department of Health of Madrid, Madrid, Spain
| | - Inés Gómez-Acebo
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- University of Cantabria, Santander, Spain
- IDIVAL, Santander, Spain
| | - Eva Ardanaz
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Navarra Public Health Institute, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Jose-Juan Jimenez-Moleon
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
- Instituto de Investigacion Biosanitaria de Granada (Ibs.GRANADA), Hospitales Universitarios de Granada/Universidad de Granada, Granada, Spain
| | - Pilar Amiano
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Public Health Division of Gipuzkoa, San Sebastian, Spain
- Biodonostia Research Institute, San Sebastian, Spain
| | | | - Juan Alguacil
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Centro de Investigación en Salud y Medio Ambiente (CYSMA), Universidad de Huelva, Campus Universitario de El Carmen, Huelva, Spain
| | - Guillermo Fernández-Tardón
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Health Research Institute of the Principality of Asturias, University of Oviedo, Oviedo, Spain
| | - José María Huerta
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain
| | | | - Beatriz Perez-Gomez
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Cancer Epidemiology Unit of the National Center for Epidemiology, Carlos III Institute of Health, Madrid, Spain
- Cancer Epidemiology Research Group, Oncology and Hematology Area, IIS Puerta de Hierro (IDIPHIM), Majadahonda, Madrid, Spain
| | - Javier Llorca
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- University of Cantabria, Santander, Spain
| | - Juana Vidán-Alli
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Navarra Public Health Institute, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Rocıo Olmedo-Requena
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
- Instituto de Investigacion Biosanitaria de Granada (Ibs.GRANADA), Hospitales Universitarios de Granada/Universidad de Granada, Granada, Spain
| | - Leire Gil
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Public Health Division of Gipuzkoa, San Sebastian, Spain
- Biodonostia Research Institute, San Sebastian, Spain
| | | | - Marina Pollan
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Cancer Epidemiology Unit of the National Center for Epidemiology, Carlos III Institute of Health, Madrid, Spain
| | - Manolis Kogevinas
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Victor Moreno
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Unit of Biomarkers and Susceptibility, Oncology Data Analytics Program, Catalan Institute of Oncology (ICO), Hospitalet de Llobregat, Barcelona, Spain
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), Hospitalet de Llobregat, Barcelona, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
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19
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Xie J, Zhu M, Ji M, Fan J, Huang Y, Wei X, Jiang X, Xu J, Yin R, Wang Y, Dai J, Jin G, Xu L, Hu Z, Ma H, Shen H. Relationships of sleep traits with lung cancer risk: a prospective cohort study in UK Biobank. Sleep 2021; 44:6211207. [PMID: 33823024 DOI: 10.1093/sleep/zsab089] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Revised: 03/26/2021] [Indexed: 12/16/2022] Open
Abstract
STUDY OBJECTIVES To prospectively investigate the association between sleep traits and lung cancer risk, accounting for the interactions with genetic predisposition of lung cancer. METHODS We included 469,691 individuals free of lung cancer at recruitment from UK Biobank, measuring sleep behaviors with a standardized questionnaire and identifying incident lung cancer cases through linkage to national cancer and death registries. We estimated multivariable adjusted hazard ratios (HR) for lung cancer (2,177 incident cases) across four sleep traits (sleep duration, chronotype, insomnia and snoring), and examined the interaction and joint effects with a lung cancer polygenic risk score. RESULTS A U-shaped association was observed for sleep duration and lung cancer risk, with a 18% higher risk (95% confidence interval (CI): 1.07-1.30) for short sleepers and a 17% higher risk (95%CI: 1.02-1.34) for long sleepers compared with normal sleepers (7-8 h/day). Evening preference was associated with elevated lung cancer risk compared with morning preference (HR: 1.25; 95%CI: 1.07-1.46), but no association was found for insomnia or snoring. Compared to participants with favorable sleep traits and low genetic risk, those with both unfavorable sleep duration (<7 hours or >8 hours) or evening preference and high genetic risk showed the greatest lung cancer risk (HRsleep duration: 1.83; 95%CI: 1.47-2.27; HRchronotype: 1.85; 95%CI: 1.34-2.56). CONCLUSIONS Both unfavorable sleep duration and evening chronotype were associated with increased lung cancer incidence, especially for those with low to moderate genetic risk. These results indicate that sleep behaviors as modifiable risk factors may have potential implications for lung cancer risk.
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Affiliation(s)
- Junxing Xie
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Meng Zhu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personized Medicine, Nanjing Medical University, Nanjing, China.,Department of Thoracic Surgery, Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Mengmeng Ji
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Jingyi Fan
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Yanqian Huang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Xiaoxia Wei
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Xiangxiang Jiang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Jing Xu
- Department of Thoracic Surgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Rong Yin
- Department of Thoracic Surgery, Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Yuzhuo Wang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.,Department of Thoracic Surgery, Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Juncheng Dai
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personized Medicine, Nanjing Medical University, Nanjing, China
| | - Guangfu Jin
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personized Medicine, Nanjing Medical University, Nanjing, China
| | - Lin Xu
- Department of Thoracic Surgery, Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Zhibin Hu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personized Medicine, Nanjing Medical University, Nanjing, China
| | - Hongxia Ma
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personized Medicine, Nanjing Medical University, Nanjing, China
| | - Hongbing Shen
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personized Medicine, Nanjing Medical University, Nanjing, China
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20
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Association of napping and all-cause mortality and incident cardiovascular diseases: a dose–response meta analysis of cohort studies. Sleep Med 2020; 74:165-172. [DOI: 10.1016/j.sleep.2020.08.009] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 08/05/2020] [Accepted: 08/06/2020] [Indexed: 12/22/2022]
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21
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Brzecka A, Sarul K, Dyła T, Avila-Rodriguez M, Cabezas-Perez R, Chubarev VN, Minyaeva NN, Klochkov SG, Neganova ME, Mikhaleva LM, Somasundaram SG, Kirkland CE, Tarasov VV, Aliev G. The Association of Sleep Disorders, Obesity and Sleep-Related Hypoxia with Cancer. Curr Genomics 2020; 21:444-453. [PMID: 33093806 PMCID: PMC7536792 DOI: 10.2174/1389202921999200403151720] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2019] [Revised: 07/31/2019] [Accepted: 03/16/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Sleep disorders have emerged as potential cancer risk factors. OBJECTIVE This review discusses the relationships between sleep, obesity, and breathing disorders with concomitant risks of developing cancer. RESULTS Sleep disorders result in abnormal expression of clock genes, decreased immunity, and melatonin release disruption. Therefore, these disorders may contribute to cancer development. Moreover, in sleep breathing disorder, which is frequently experienced by obese persons, the sufferer experiences intermittent hypoxia that may stimulate cancer cell proliferation. DISCUSSION During short- or long- duration sleep, sleep-wake rhythm disruption may occur. Insomnia and obstructive sleep apnea increase cancer risks. In short sleepers, an increased risk of stomach cancer, esophageal squamous cell cancer, and breast cancer was observed. Among long sleepers (>9 hours), the risk of some hematologic malignancies is elevated. CONCLUSION Several factors including insomnia, circadian disruption, obesity, and intermittent hypoxia in obstructive sleep apnea are contributing risk factors for increased risk of several types of cancers. However, further studies are needed to determine the more significant of these risk factors and their interactions.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | - Gjumrakch Aliev
- Address correspondence to this author at the GALLY International Research Institute, 7733 Louis Pasteur Drive, #330, San Antonio, TX, 78229, USA; Tel: +1(440) 263-7461; +7-964-493-1515; E-mails: and
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22
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Nelson B. Dying for a good night of sleep?: Researchers are investigating how poor sleep can increase the risk of cancer or worsen the course of the disease. Cancer Cytopathol 2019; 127:273-274. [PMID: 31087786 DOI: 10.1002/cncy.22142] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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23
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The association between sleep duration and cancer-specific mortality: a systematic review and meta-analysis. Cancer Causes Control 2019; 30:501-525. [PMID: 30903483 DOI: 10.1007/s10552-019-01156-4] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2018] [Accepted: 03/07/2019] [Indexed: 12/21/2022]
Abstract
PURPOSE In this systematic review and meta-analysis, we aimed to estimate cancer-specific mortality and all-cause mortality among cancer survivors associated with both short (typically 5 or 6 h/night) and long (typically 9 or 10 h/night) sleep duration (versus recommendations), separately by sex, cancer site, and sampling frame. METHODS We completed a systematic literature search in five databases and captured relevant literature published through December 2018. Two reviewers independently screened 9,823 records and 32 studies were included representing over 73,000 deaths in cancer survivors. Estimates for short and long sleep duration compared to 'recommended' were pooled using random-effects models. RESULTS Pooled hazards ratios for short and long sleep duration for all-cancer-specific mortality were 1.03 (95% CI 1.00-1.06) and 1.09 (95% CI 1.04-1.13), respectively. In subgroup analyses by cancer site, statistically significant increased risks were found for both short and long sleep durations for lung cancer-specific mortality. These associations were maintained when stratified by sex and sampling frame. There were no statistically significant associations found between either short or long sleep duration and breast, colorectal, ovarian, or prostate cancer-specific mortality. Statistically significant increases in all-cause mortality were observed with long sleep duration in breast cancer survivors (1.38; 95% CI 1.16-1.64) with no significant associations found for colorectal or liver/pancreatic cancers. CONCLUSIONS We observed that long sleep duration increases cancer-specific mortality for all-cancers and lung cancers, while all-cause mortality is increased for breast cancer survivors. Limitations were found within the existing literature that need to be addressed in future studies in order to improve the understanding regarding the exact magnitude of the effect between sleep duration and site-specific mortality.
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24
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Cheng GHL, Malhotra R, Østbye T, Chan A, Ma S, Lo JC. Changes in nocturnal sleep and daytime nap durations predict all-cause mortality among older adults: the Panel on Health and Ageing of Singaporean Elderly. Sleep 2018; 41:4990845. [DOI: 10.1093/sleep/zsy087] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2017] [Indexed: 12/13/2022] Open
Affiliation(s)
- Grand H -L Cheng
- Centre for Ageing Research and Education, Duke-NUS Medical School, Singapore
| | - Rahul Malhotra
- Centre for Ageing Research and Education, Duke-NUS Medical School, Singapore
| | - Truls Østbye
- Centre for Ageing Research and Education, Duke-NUS Medical School, Singapore
| | - Angelique Chan
- Centre for Ageing Research and Education, Duke-NUS Medical School, Singapore
| | - Stefan Ma
- Epidemiology and Disease Control Division, Ministry of Health, Singapore
| | - June C Lo
- Centre for Cognitive Neuroscience, Duke-NUS Medical School, Singapore
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25
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Zullig LL, Goldstein KM, Bosworth HB, Andrews SM, Danus S, Jackson GL, Provenzale D, Weinberger M, Kelley MJ, Voils CI. Chronic disease management perspectives of colorectal cancer survivors using the Veterans Affairs healthcare system: a qualitative analysis. BMC Health Serv Res 2018. [PMID: 29523146 PMCID: PMC5845139 DOI: 10.1186/s12913-018-2975-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Colorectal cancer (CRC) is the third most commonly diagnosed cancer in the US. CRC survivors may have complex healthcare needs requiring care from both specialists and primary care. Our objective was to understand how CRC survivors perceive their survivorship care, especially management of their cardiovascular-related chronic diseases. METHODS We identified patients diagnosed with non-metastatic CRC between 10/1/2007 and 12/31/2015 at Veterans Affairs Medical Centers in North Carolina or Virginia. In 2016, we conducted telephone-based, semi-structured interviews to assess survivors' experiences with cancer survivorship and changes in health priorities. Interviews were conducted until thematic saturation was reached. Interviews were audio-recorded, transcribed, and coded. RESULTS The 25 participants were, on average, 64 years old and approximately 4 years post-CRC diagnosis at the time of interview; most were white (60%), male (92%), and diagnosed with colon cancer (64%) as opposed to rectal cancer. CRC survivors reported: (1) a shift in focus from surviving cancer to reducing cardiovascular disease risk (e.g., by managing weight); (2) challenges with taking medications for CVD-related conditions; (3) new recognition of the importance of engaging with primary care providers. CONCLUSIONS Experiences with cancer shapes how survivors view their health. Management of cardiovascular-related chronic disease is important to veteran CRC survivors. There is a need to deliver cardiovascular disease risk reduction programs tailored for CRC survivors.
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Affiliation(s)
- Leah L Zullig
- Center for Health Services Research in Primary Care, Durham Veterans Affairs Health Care System, 411 West Chapel Hill Street, Suite 600, Durham, NC, 27701, USA. .,Department of Population Health Sciences, Duke University Medical Center, Durham, USA.
| | - Karen M Goldstein
- Center for Health Services Research in Primary Care, Durham Veterans Affairs Health Care System, 411 West Chapel Hill Street, Suite 600, Durham, NC, 27701, USA.,Department of Medicine, Duke University Medical Center, Durham, USA
| | - Hayden B Bosworth
- Center for Health Services Research in Primary Care, Durham Veterans Affairs Health Care System, 411 West Chapel Hill Street, Suite 600, Durham, NC, 27701, USA.,Department of Population Health Sciences, Duke University Medical Center, Durham, USA.,Department of Psychiatry and Behavioral Sciences and School of Nursing, Duke University, Durham, USA
| | - Sara M Andrews
- Center for Health Services Research in Primary Care, Durham Veterans Affairs Health Care System, 411 West Chapel Hill Street, Suite 600, Durham, NC, 27701, USA
| | - Susanne Danus
- Center for Health Services Research in Primary Care, Durham Veterans Affairs Health Care System, 411 West Chapel Hill Street, Suite 600, Durham, NC, 27701, USA
| | - George L Jackson
- Center for Health Services Research in Primary Care, Durham Veterans Affairs Health Care System, 411 West Chapel Hill Street, Suite 600, Durham, NC, 27701, USA.,Department of Population Health Sciences, Duke University Medical Center, Durham, USA
| | - Dawn Provenzale
- Center for Health Services Research in Primary Care, Durham Veterans Affairs Health Care System, 411 West Chapel Hill Street, Suite 600, Durham, NC, 27701, USA.,Department of Medicine, Duke University Medical Center, Durham, USA.,Cooperative Studies Program Epidemiology Center-Durham, Durham, NC, USA
| | - Morris Weinberger
- Center for Health Services Research in Primary Care, Durham Veterans Affairs Health Care System, 411 West Chapel Hill Street, Suite 600, Durham, NC, 27701, USA.,Department of Health Policy and Management, University of North Carolina, Chapel Hill, USA
| | - Michael J Kelley
- Department of Veterans Affairs, Washington, DC, USA.,Hematology-Oncology Service, Durham Veterans Affairs Health Care System, Durham, USA
| | - Corrine I Voils
- William S. Middleton Memorial Veterans Hospital, Madison, USA.,Department of Surgery, University of Wisconsin School of Medicine and Public Health, Madison, USA
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26
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Erren TC, Groß JV, Lewis P. Computing sleep deficiency. J Sleep Res 2017; 27:e12630. [PMID: 29159867 DOI: 10.1111/jsr.12630] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2017] [Accepted: 09/25/2017] [Indexed: 12/30/2022]
Abstract
Sleep deficiency is a major public health concern. Since epidemiological studies play an important role in public health evaluations, this theoretical paper pursues answers to the question: 'How can we compute sleep deficiency as informative measures of exposures or doses in observational research?' Starting from the social jetlag concept and based on the chronodisruption rationale, we illustrate and discuss five approaches (one established and four untested, each with unique strengths and limitations) to quantify sleep deficiency by focusing on the timing and duration of sleep. Hitherto, social jetlag and chronodisruption rationale were neither explicitly proposed nor developed as assessments of sleep deficiency but, as we suggest, could potentially be utilized to this end. This first foray into computing sleep deficiency in epidemiological studies makes clear that laboratory, field and epidemiological collaboration is pre-requisite to elucidating potential (co-)causal roles of sleep deficiency in disease endpoints.
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Affiliation(s)
- Thomas C Erren
- Institute and Policlinic for Occupational Medicine, Environmental Medicine and Prevention Research, University Hospital of Cologne, Cologne, Germany
| | - J Valerie Groß
- Institute and Policlinic for Occupational Medicine, Environmental Medicine and Prevention Research, University Hospital of Cologne, Cologne, Germany
| | - Philip Lewis
- Institute and Policlinic for Occupational Medicine, Environmental Medicine and Prevention Research, University Hospital of Cologne, Cologne, Germany
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