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Li Y, Peng X, Wang X, Lin R, Liu X, Meng F, Liu X, Li L, Bai R, Wen S, Ruan Y, Tang R, Liu N. Association of shift work and dietary inflammatory potential with all-cause death among us hypertensive population: national health and nutrition examination study, 2005-2010. BMC Public Health 2023; 23:1094. [PMID: 37280597 DOI: 10.1186/s12889-023-15740-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 04/23/2023] [Indexed: 06/08/2023] Open
Abstract
BACKGROUND & AIMS The individual effect of working schedule on survival in the hypertensive population has not been adequately studied. Shiftworkers are also prone to unhealthy lifestyles like pro-inflammatory diet. Therefore, we assessed the effect of shift work and its joint association with dietary inflammatory potential on mortality risk among the large US nationally representative sample of adult hypertensive population. METHODS Data were from a nationally representative prospective cohort among US hypertensive population (n = 3680; weighted population, 54,192,988). The participants were linked to the 2019 public-access linked mortality archives. The working schedule were self-reported using the Occupation Questionnaire Section. Dietary inflammatory index (DII) scores were equally calculated using the 24-hour dietary recall (24 h) interviews. Multivariable Cox proportional hazards regression models were used to estimate hazard ratio and 95% confidence intervals (95%CI) for survival of hypertension individuals by work schedule and dietary inflammatory potential. The joint effect of work schedule and dietary inflammatory potential was then examined. RESULTS Among the 3680 hypertension individuals (39.89% female [n = 1479] and 71.42% white [n = 1707]; weighted mean [SE] age, 47.35 [0.32] years), 592 individuals reported shift work status. 474 (10.76%) reported shift work status with pro-inflammatory dietary pattern (DII scores > 0). 118 (3.06%) reported shift work status with anti-inflammatory dietary pattern (DII scores < 0). 646 (19.64%) reported a non-shift working schedule with anti-inflammatory dietary pattern, while 2442 (66.54%) reported non-shift working schedule with pro-inflammatory dietary pattern. After a median follow-up of 11.67 years (140 months), 317 deaths (cardiovascular diseases (CVD), 65; cancer, 104) were registered. Cox regression analysis showed that shift work was associated with higher risk of all-cause mortality (hazard ratio [HR], 1.48; 95% CI, 1.07-2.06) compared with non-shift workers. In the joint analysis, shift work status combined with pro-inflammatory dietary pattern was associated with the highest all-cause mortality risk. Moreover, adopting the anti-inflammatory diet significantly attenuates the deleterious effect of shift work on mortality risk. CONCLUSIONS In this large representative sample of adults with hypertension in the U.S., the combination of shift work status with pro-inflammatory dietary pattern was highly prevalent and was associated with the highest risks of death from all causes.
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Affiliation(s)
- Yukun Li
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100012, China
- National Clinical Research Center for Cardiovascular Diseases, Beijing, 100012, China
| | - Xiaodong Peng
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100012, China
- National Clinical Research Center for Cardiovascular Diseases, Beijing, 100012, China
| | - Xuesi Wang
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100012, China
- National Clinical Research Center for Cardiovascular Diseases, Beijing, 100012, China
| | - Rong Lin
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100012, China
- North China Medical & Health Group XingTai Genernal Hospital, Xingtai, 054000, China
| | - Xinmeng Liu
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100012, China
- National Clinical Research Center for Cardiovascular Diseases, Beijing, 100012, China
| | - Fanchao Meng
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100012, China
- National Clinical Research Center for Cardiovascular Diseases, Beijing, 100012, China
| | - Xiaoying Liu
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100012, China
- National Clinical Research Center for Cardiovascular Diseases, Beijing, 100012, China
| | - Linling Li
- Department of Cardiology, Bejing Chuiyangliu Hospital, Beijing, 100012, China
| | - Rong Bai
- Banner University Medical Center Phoenix, College of Medicine University of Arizona Phoenix, Arizona, 85123, USA
| | - Songnan Wen
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100012, China
- National Clinical Research Center for Cardiovascular Diseases, Beijing, 100012, China
| | - Yanfei Ruan
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100012, China
- National Clinical Research Center for Cardiovascular Diseases, Beijing, 100012, China
| | - Ribo Tang
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100012, China.
- National Clinical Research Center for Cardiovascular Diseases, Beijing, 100012, China.
| | - Nian Liu
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100012, China.
- National Clinical Research Center for Cardiovascular Diseases, Beijing, 100012, China.
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Bizzarri D, Dollé MET, Loef B, van den Akker EB, van Kerkhof LWM. GlycA, a Biomarker of Low-Grade Inflammation, Is Increased in Male Night Shift Workers. Metabolites 2022; 12:metabo12121172. [PMID: 36557211 PMCID: PMC9785707 DOI: 10.3390/metabo12121172] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 11/11/2022] [Accepted: 11/16/2022] [Indexed: 11/27/2022] Open
Abstract
Sustained night shift work is associated with various adverse health risks, including an increased risk of cardiovascular disease, type II diabetes, and susceptibility to infectious respiratory diseases. The extent of these adverse health effects, however, seems to greatly vary between night shift workers, yet the underlying reasons and the mechanisms underlying these interindividual differences remain poorly understood. Metabolomics assays in the blood have recently gained much attention as a minimally invasive biomarker platform capturing information predictive of metabolic and cardiovascular diseases. In this cross-sectional study, we explored and compared the metabolic profiles of 1010 night shift workers and 1010 age- and sex-matched day workers (non-shift workers) from the Lifelines Cohort Study. The metabolic profiles were determined using the 1H-NMR Nightingale platform for the quantification of 250 parameters of metabolism, including routine lipids, extensive lipoprotein subclasses, fatty acid composition, and various low-molecular metabolites, including amino acids, ketone bodies, and gluconeogenesis-related metabolites. Night shift workers had an increased BMI (26.6 vs. 25.9 kg/m2) compared with day workers (non-shift workers) in both sexes, were slightly more likely to be ever smokers (only in males) (54% vs. 46%), worked on average 5.9 ± 3.7 night shifts per month, and had been working in night shifts for 18.3 ± 10.5 years on average. We observed changes in several metabolic markers in male night shift workers compared with non-shift workers, but no changes were observed in women. In men, we observed higher levels of glycoprotein acetyls (GlycA), triglycerides, and fatty acids compared with non-shift workers. The changes were seen in the ratio of triglycerides and cholesterol(esters) to total lipids in different sizes of VLDL particles. Glycoprotein acetyls (GlycAs) are of particular interest as markers since they are known as biomarkers for low-grade chronic inflammation. When the analyses were adjusted for BMI, no significant associations were observed. Further studies are needed to better understand the relationship between night shift work and metabolic profiles, particularly with respect to the role of sex and BMI in this relationship.
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Affiliation(s)
- Daniele Bizzarri
- Biomedical Data Sciences, Leiden University Medical Center, 2333 ZC Leiden, The Netherlands
| | - Martijn E. T. Dollé
- Center for Health Protection, National Institute for Public Health and the Environment, 3720 BA Bilthoven, The Netherlands
| | - Bette Loef
- Center for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, 3720 BA Bilthoven, The Netherlands
| | - Erik B. van den Akker
- Biomedical Data Sciences, Leiden University Medical Center, 2333 ZC Leiden, The Netherlands
- Intelligent Systems, Pattern Recognition and Bioinformatics, Delft University of Technology, 2628 XE Delft, The Netherlands
| | - Linda W. M. van Kerkhof
- Center for Health Protection, National Institute for Public Health and the Environment, 3720 BA Bilthoven, The Netherlands
- Correspondence:
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Niedhammer I, Coutrot T, Geoffroy-Perez B, Chastang JF. Shift and Night Work and All-Cause and Cause-Specific Mortality: Prospective Results From the STRESSJEM Study. J Biol Rhythms 2022; 37:249-259. [PMID: 35502698 PMCID: PMC9149517 DOI: 10.1177/07487304221092103] [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] [Indexed: 11/15/2022]
Abstract
The literature remains sparse and inconclusive about the impact of shift and
night work on mortality, and still more on specific causes of death. The
objectives were to explore the prospective associations between exposure to
shift and night work and all-cause and cause-specific mortality. The study was
based on a large national representative French prospective cohort of 1,511,456
employees followed up from 1976 to 2002. Exposure to shift and night work relied
on a job-exposure matrix, and 3 time-varying measures (current, cumulative, and
recency-weighted cumulative exposure) were constructed. Mortality and causes of
death were provided by the national registry, and all-cause, cardiovascular,
cancer and preventable mortality, and suicide were studied. Cox proportional
hazards models were performed to study the associations between shift and night
work and mortality. During follow-up, 22,105 deaths occurred for all-cause
mortality. In the study of mortality until the end of last job during follow-up,
shift and/or night work were associated with all-cause, cardiovascular, cancer
and preventable mortality, and suicide (except night without shift work with
cancer mortality and suicide) among men. Shift work (especially shift without
night work) was associated with all-cause, cancer and preventable mortality
among women. The results were similar for current, cumulative, and
recency-weighted cumulative exposure. Associations were found for more detailed
causes of death: cerebrovascular diseases for both genders, ischemic heart
diseases, respiratory cancers, smoking-related mortality, and external causes of
death among men, and breast cancer among women. In the study of mortality until
the end of follow-up, some additional associations were found among women
between night work and all-cause and preventable mortality, and suicide,
suggesting long-term or delayed exposure effects. The study may, however, be
underpowered to detect all the exposure-outcome associations, especially among
women. More research and prevention are needed to reduce mortality among shift
and night workers.
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Affiliation(s)
- Isabelle Niedhammer
- INSERM, Univ Angers, Univ Rennes, EHESP, Institut de Recherche en Santé, Environnement et Travail (IRSET) - UMR_S 1085, Epidemiology in Occupational Health and Ergonomics Team (ESTER), Angers, France
| | - Thomas Coutrot
- Direction de l'Animation de la Recherche, des Etudes et des Statistiques (DARES), Ministère du Travail, Paris, France
| | | | - Jean-François Chastang
- INSERM, Univ Angers, Univ Rennes, EHESP, Institut de Recherche en Santé, Environnement et Travail (IRSET) - UMR_S 1085, Epidemiology in Occupational Health and Ergonomics Team (ESTER), Angers, France
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Wei F, Chen W, Lin X. Night-shift work, breast cancer incidence, and all-cause mortality: an updated meta-analysis of prospective cohort studies. Sleep Breath 2021; 26:1509-1526. [PMID: 34775538 DOI: 10.1007/s11325-021-02523-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 10/23/2021] [Accepted: 11/02/2021] [Indexed: 11/30/2022]
Abstract
OBJECTIVES Night-shift work exposure is proposed to link to a wide range of health issues, especially cancer incidence, cancer-specific death, and all-cause death. However, the epidemiological associations among night-shift work exposure, breast cancer, breast cancer-specific death, and all-cause mortality remain inconclusive. METHODS We performed an updated systematic review and meta-analysis to confirm potential associations among night-shift work exposure, breast cancer, and all-cause mortality. RESULTS A total of 31 prospective cohort studies, involving 9.3 million participants, 31,244 incident breast cancer cases, 12,728 cancer-related deaths, 7882 cardiovascular deaths, and 30,807 all-cause mortalities were included. Overall, the summary RR of incident breast cancer in females for an increase of night-shift work was 1.029 (95% CI 1.003-1.055). Compared with standard day workers, night-shift workers had a statistically significantly increased RR (1.086, 95% CI 1.032-1.142) for breast cancer incidence in the subgroup of > 10 years exposure. Furthermore, a positive association was revealed in subgroup studies of rotating night-shift work (RR = 1.053, 95% CI 1.018-1.090). A significant increased risk of cardiovascular mortality was demonstrated in the night-shift work group (RR = 1.031; 95% CI 1.006-1.057). CONCLUSION Our systematic review and meta-analysis provided convincing evidence supporting positive associations among night-shift work exposure, breast cancer incidence, and cardiovascular mortality. Taken together, night-shift work exposure significantly increased the risk of breast cancer morbidity by 2.9% for total, 8.6% for the subgroup of more than 10 years night-shift work, and 5.3% for rotating night-shift work. In addition, night-shift work increased the risk of cardiovascular mortality by 3.1%.
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Affiliation(s)
- Fengqin Wei
- Department of Geriatrics, Fujian Provincial 2Nd People's Hospital, Affiliated Hospital of Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Weiyu Chen
- Department of Physiology, Zhongshan Medical School, Sun Yat-Sen University, Guangzhou, China
| | - Xiaoti Lin
- Department of Breast Surgery, Fujian Provincial Maternity and Children's Hospital of Fujian Medical University, Fuzhou, China.
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Su F, Huang D, Wang H, Yang Z. Associations of shift work and night work with risk of all-cause, cardiovascular and cancer mortality: a meta-analysis of cohort studies. Sleep Med 2021; 86:90-98. [PMID: 34479052 DOI: 10.1016/j.sleep.2021.08.017] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 06/27/2021] [Accepted: 08/13/2021] [Indexed: 01/19/2023]
Abstract
BACKGROUND Epidemiological studies on the relationship of shift work or night work with risk of total and cause-specific mortality have given conflicting results. We aimed at conducting a meta-analysis to summarize the evidence from cohort studies. METHODS Embase, PubMed, Web of Science and Scopus databases were searched for eligible studies up to Mar 2021. Cohort studies evaluating the associations of shift work or night work with risk of all-cause, cardiovascular or cancer mortality were reviewed. Study-specific risk estimates were pooled by fixed-effect models when the heterogeneity was not detected; otherwise, random-effect models were employed. RESULTS We identified seventeen eligible articles (sixteen cohorts). A total of 958,674 cohort participants were included, with 38,413 total deaths, 24,713 cardiovascular deaths and 10,219 cancer deaths during follow-up. According to the Newcastle-Ottawa Scale, fifteen studies were considered as relatively high quality with low risk of bias. Compared with regular daytime workers, the pooled relative risks for all-cause, cardiovascular and cancer mortality were 1.02 (95% CI: 0.99, 1.06), 1.18 (95% CI: 0.94, 1.47) and 1.05 (95% CI: 0.83, 1.34) for those ever exposing to shift work, respectively. Compared with daytime workers or those never exposing to night work, the pooled relative risks for all-cause, cardiovascular and cancer mortality were 1.06 (95% CI: 1.03, 1.08), 1.15 (95% CI: 1.03, 1.29) and 1.04 (95% CI: 1.00, 1.08) for those ever exposing to night work, respectively. Moderate to high level of heterogeneity across the studies was detected. Publication bias was not detected. CONCLUSION Night work may be associated with higher risk of all-cause, cardiovascular and cancer mortality, suggesting that night workers compared with daytime workers may be at higher risk of death, especially due to cardiovascular disease.
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Affiliation(s)
- Fuxiang Su
- Department of Cardiology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Ding Huang
- Department of Cardiology, The Fourth People's Hospital of Shenyang, Shenyang, China
| | - Hongyu Wang
- Department of Rehabilitation, Shengjing Hospital of China Medical University, Shenyang, China
| | - Zhiyong Yang
- Department of Cardiology, Shengjing Hospital of China Medical University, Shenyang, China.
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Dun A, Zhao X, Jin X, Wei T, Gao X, Wang Y, Hou H. Association Between Night-Shift Work and Cancer Risk: Updated Systematic Review and Meta-Analysis. Front Oncol 2020; 10:1006. [PMID: 32656086 PMCID: PMC7324664 DOI: 10.3389/fonc.2020.01006] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Accepted: 05/21/2020] [Indexed: 12/12/2022] Open
Abstract
Background: Nightshift work introduces light at night and causes circadian rhythm among night workers, who are considered to be at increased risk of cancer. However, in the last 2 years, nine population-based studies reported insignificant associations between night-shift work and cancer risks. We aimed to conduct an updated systematic review and meta-analysis to ascertain the effect of night-shift work on the incidence of cancers. Methods: Our protocol was registered in PROSPERO and complied with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Embase, PubMed, and Web of Science databases were used to comprehensively search studies published up to May 31, 2019. The random-effect model (Der Simonian-Laird method) was carried out to combine the risk estimates of night-shift work for cancers. The dose-response meta-analysis was performed to verify whether the association was in a dose-dependent manner. Results: Our literature searching retrieved 1,660 publications. Included in the meta-analyses were 57 eligible studies with 8,477,849 participants (mean age 55 years; 2,560,886 men, 4,220,154 women, and 1,696,809 not mentioned). The pooled results showed that night-shift work was not associated with the risk of breast cancer (OR = 1.009, 95% CI = 0.984-1.033), prostate cancer (OR = 1.027, 95% CI = 0.982-1.071), ovarian cancer (OR = 1.027, 95% CI = 0.942-1.113), pancreatic cancer (OR = 1.007, 95% CI = 0.910-1.104), colorectal cancer (OR = 1.016, 95% CI = 0.964-1.068), non-Hodgkin's lymph (OR = 1.046, 95% CI = 0.994-1.098), and stomach cancer (OR = 1.064, 95% CI = 0.971-1.157), while night-shift work was associated with a reduction of lung cancer (OR = 0.949, 95% CI = 0.903-0.996), and skin cancer (OR = 0.916, 95% CI = 0.879-0.953). The dose-response meta-analysis found that cancer risk was not significantly elevated with the increased light exposure of night- shift work. Conclusion: This systematic review of 57 observational studies did not find an overall association between ever-exposure to night-shift work and the risk of breast, prostate ovarian, pancreatic, colorectal, non-Hodgkin's lymph, and stomach cancers.
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Affiliation(s)
- Aishe Dun
- School of Basic Medical Science, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, China
| | - Xuan Zhao
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, China
| | - Xu Jin
- School of Basic Medical Science, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, China
| | - Tao Wei
- School of Basic Medical Science, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, China
| | - Xiang Gao
- Department of Otolaryngology, Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Youxin Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Haifeng Hou
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, China
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Åkerstedt T, Narusyte J, Svedberg P. Night work, mortality, and the link to occupational group and sex. Scand J Work Environ Health 2020; 46:508-515. [PMID: 32270204 PMCID: PMC7737802 DOI: 10.5271/sjweh.3892] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Objective: Night shifts are associated with several major diseases. Mortality has been studied only to a limited extent, and the association with night shifts remains unclear. The purpose of the present study was to investigate the association between duration of night shift exposure and mortality in a large sample from the Swedish Twin Registry (the SALT cohort). Methods: Cox proportional hazards regression models were used to analyze the data (N=42 731) over a follow-up period of 18 years, with years of night shift work as the exposure variable and adjustment for lifestyle factors and age, and stratification on gender and occupational group. Results: The hazard ratio (HR) for “ever” night shifts for total mortality was 1.07 [95% confidence interval (CI) 1.01–1.15] but 1.15 (95% CI 1.07–1.25) for longer exposure (>5 years). Also, HR for cause-specific mortality due to cardiovascular disease was significant, with higher HR for longer night shift exposure. Mortality due to cancer was significant for longer exposure only. White-collar workers showed significant HR for longer exposure. In particular, male white-collar workers showed a significant HR, with a highest value for longer exposure [HR 1.28 (95% CI 1.09–1.49)]. Heredity did not influence the results significantly. Conclusions: Long duration of exposure to night shift work is associated with increased mortality, particularly in male white-collar workers. The lack of effects of accumulated exposure suggests that the results should be interpreted with caution.
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Affiliation(s)
- Torbjörn Åkerstedt
- Department of Clinical Neuroscience, Karolinska Institutet, 17177 Stockholm, Sweden.
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Yuan X, Zhu C, Wang M, Mo F, Du W, Ma X. Night Shift Work Increases the Risks of Multiple Primary Cancers in Women: A Systematic Review and Meta-analysis of 61 Articles. Cancer Epidemiol Biomarkers Prev 2019; 27:25-40. [PMID: 29311165 DOI: 10.1158/1055-9965.epi-17-0221] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2017] [Revised: 07/27/2017] [Accepted: 10/11/2017] [Indexed: 02/05/2023] Open
Abstract
A growing number of studies have examined associations between night shift work and the risks of common cancers among women, with varying conclusions. We did a meta-analysis to identify whether long-term night shift work increased the risks of common cancers in women. We enrolled 61 articles involving 114,628 cases and 3,909,152 participants from Europe, North America, Asia, and Australia. Risk estimates were performed with a random-effect model or a fixed-effect model. Subgroup analyses and meta-regression analyses about breast cancer were conducted to explore possible sources of heterogeneity. In addition, we carried out a dose-response analysis to quantitatively estimate the accumulative effect of night shift work on the risk of breast cancer. A positive relationship was revealed between long-term night shift work and the risks of breast [OR = 1.316; 95% confidence interval (CI), 1.196-1.448], digestive system (OR = 1.177; 95% CI, 1.065-1.301), and skin cancer (OR = 1.408; 95% CI, 1.024-1.934). For every 5 years of night shift work, the risk of breast cancer in women was increased by 3.3% (OR = 1.033; 95% CI, 1.012-1.056). Concerning the group of nurses, long-term night shift work presented potential carcinogenic effect in breast cancer (OR = 1.577; 95% CI, 1.235-2.014), digestive system cancer (OR = 1.350; 95% CI, 1.030-1.770), and lung cancer (OR = 1.280; 95% CI, 1.070-1.531). This systematic review confirmed the positive association between night shift work and the risks of several common cancers in women. We identified that cancer risk of women increased with accumulating years of night shift work, which might help establish and implement effective measures to protect female night shifters. Cancer Epidemiol Biomarkers Prev; 27(1); 25-40. ©2018 AACR.
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Affiliation(s)
- Xia Yuan
- State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, West China Medical School, Sichuan University, Chengdu, P.R. China
| | - Chenjing Zhu
- State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, West China Medical School, Sichuan University, Chengdu, P.R. China
| | - Manni Wang
- State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, West China Medical School, Sichuan University, Chengdu, P.R. China
| | - Fei Mo
- State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, West China Medical School, Sichuan University, Chengdu, P.R. China
| | - Wei Du
- State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, West China Medical School, Sichuan University, Chengdu, P.R. China
| | - Xuelei Ma
- State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, West China Medical School, Sichuan University, Chengdu, P.R. China.
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Sex Differences in the Association between Night Shift Work and the Risk of Cancers: A Meta-Analysis of 57 Articles. DISEASE MARKERS 2018; 2018:7925219. [PMID: 30598709 PMCID: PMC6287141 DOI: 10.1155/2018/7925219] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/10/2018] [Accepted: 09/25/2018] [Indexed: 01/20/2023]
Abstract
Objectives To identify the association between night shift work and the risk of various cancers with a comprehensive perspective and to explore sex differences in this association. Methods We searched PubMed, Embase, and Web of Science for studies on the effect of night shift work on cancer, including case-control, cohort, and nested case-control studies. We computed risk estimates with 95% confidence intervals (CIs) in a random or fixed effects model and quantified heterogeneity using the I 2 statistic. Subgroup, metaregression, and sensitivity analyses were performed to explore potential sources of heterogeneity. Contour-enhanced funnel plots and the trim and fill method were used together to analyze bias. Linear dose-response analysis was used to quantitatively estimate the accumulative effect of night shift work on the risk of cancer. Results Fifty-eight studies were eligible for our meta-analysis, including 5,143,838 participants. In the random effects model, the pooled odds ratio (OR) of cancers was 1.15 (95% CI = 1.08-1.22, P < 0.001; I 2 = 76.2%). Night shift work increased the cancer risk in both men (OR = 1.14, 95% CI = 1.05-1.25, P = 0.003) and women (OR = 1.12, 95% CI = 1.04-1.20, P = 0.002). Subgroup analyses showed that night shift work positively increased the risk of breast (OR = 1.22, 95% CI = 1.08-1.38), prostate (OR = 1.26, 95% CI = 1.05-1.52), and digestive system (OR = 1.15, 95% CI = 1.01-1.32) cancers. For every 5 years of night shift work, the cancer risk increased by 3.2% (OR = 1.032, 95% CI = 1.013-1.051). Conclusion This is the first meta-analysis identifying the positive association between night shift work and the risk of cancer and verifying that there is no sex difference in the effect of night shift work on cancer risk. Cancer risk increases with cumulative years of night shift work.
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10
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Fan G, Niu W. Work stress and mortality in people with cardiometabolic disease. Lancet Diabetes Endocrinol 2018; 6:766. [PMID: 30266184 DOI: 10.1016/s2213-8587(18)30229-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2018] [Accepted: 07/10/2018] [Indexed: 11/19/2022]
Affiliation(s)
- Guohui Fan
- Institute of Clinical Medical Sciences, China-Japan Friendship Hospital, Beijing 100029, China
| | - Wenquan Niu
- Institute of Clinical Medical Sciences, China-Japan Friendship Hospital, Beijing 100029, China.
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12
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Lin X, Chen W, Wei F, Ying M, Wei W, Xie X. Night-shift work increases morbidity of breast cancer and all-cause mortality: a meta-analysis of 16 prospective cohort studies. Sleep Med 2015; 16:1381-1387. [PMID: 26498240 DOI: 10.1016/j.sleep.2015.02.543] [Citation(s) in RCA: 106] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2014] [Revised: 02/21/2015] [Accepted: 02/25/2015] [Indexed: 01/06/2023]
Abstract
Night-shift work (NSW) has previously been related to incidents of breast cancer and all-cause mortality, but many published studies have reported inconclusive results. The aim of the present study was to quantify a potential dose-effect relationship between NSW and morbidity of breast cancer, and to evaluate the association between NSW and risk of all-cause mortality. The outcomes included NSW, morbidity of breast cancer, cardiovascular mortality, cancer-related mortality, and all-cause mortality. Sixteen investigations were included, involving 2,020,641 participants, 10,004 incident breast cancer cases, 7185 cancer-related deaths, 4820 cardiovascular end points, and 2480 all-cause mortalities. The summary risk ratio (RR) of incident breast cancer for an increase of NSW was 1.057 [95% confidence interval (CI) 1.014-1.102; test for heterogeneity p = 0.358, I(2) = 9.2%]. The combined RR (95% CI) of breast cancer risk for NSW vs daytime work was: 1.029 (0.969-1.093) in the <5-year subgroup, 1.019 (1.001-1.038) for 5-year incremental risk, 1.025 (1.006-1.044) for 5- to 10-year exposure times, 1.074 (1.010-1.142) in the 10- to 20-year subgroup, and 1.088 (1.012-1.169) for >20-year exposure lengths. The overall RR was 1.089 (95% CI 1.016-1.166) in a fixed-effects model (test for heterogeneity p = 0.838, I(2) = 0%) comparing rotating NSW and day work. Night-shift work was associated with an increased risk of cardiovascular death (RR 1.027, 95% CI 1.001-1.053), and all-cause death 1.253 (95% CI 0.786-1.997). In summary, NSW increased the risk of breast cancer morbidity by: 1.9% for 5 years, 2.5% for 5-10 years, 7.4% for 10-20 years, and 8.8% for >20-years of NSW. Additionally, rotating NSW enhanced the morbidity of breast cancer by 8.9%. Moreover, NSW was associated with a 2.7% increase in cardiovascular death.
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Affiliation(s)
- Xiaoti Lin
- Department of Breast Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China; Department of Surgery, Fujian Provincial Tumor Hospital, Teaching Hospital of Fujian Medical University, Fuzhou 350014, China
| | - Weiyu Chen
- Department of Physiology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510060, China
| | - Fengqin Wei
- Department of Emergency, Fujian Provincial 2nd People's Hospital, Affiliated Hospital of Fujian University of Traditional Chinese Medicine, Fuzhou 350000, China
| | - Mingang Ying
- Department of Surgery, Fujian Provincial Tumor Hospital, Teaching Hospital of Fujian Medical University, Fuzhou 350014, China
| | - Weidong Wei
- Department of Breast Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China
| | - Xiaoming Xie
- Department of Breast Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China.
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Erren TC, Morfeld P. Computing chronodisruption: How to avoid potential chronobiological errors in epidemiological studies of shift work and cancer. Chronobiol Int 2014; 31:589-99. [DOI: 10.3109/07420528.2013.877921] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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14
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Kecklund G, Milia LD, Axelsson J, Lowden A, Åkerstedt T. 20th International Symposium on Shiftwork and Working Time: Biological Mechanisms, Recovery, and Risk Management in the 24-h Society. Chronobiol Int 2012; 29:531-6. [DOI: 10.3109/07420528.2012.678673] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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