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      Sleep duration and the risk of cancer: a systematic review and meta-analysis including dose–response relationship

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          Abstract

          Background

          The effect of sleep duration on cancer risk remains controversial. We aimed to quantify the available evidence on this relationship using categorical and dose–response meta-analyses.

          Methods

          Population-based cohort studies and case-control studies with at least three categories of sleep duration were identified by searching PubMed, EMBASE, and the Cochrane Library database up to July 2017.

          Results

          Sixty-five studies from 25 articles were included, involving 1,550,524 participants and 86,201 cancer cases. The categorical meta-analysis revealed that neither short nor long sleep duration was associated with increased cancer risk (short: odds ratio [OR] = 1.01, 95% confidence intervals [CI] = 0.97–1.05; long: OR = 1.02, 95% CI = 0.97–1.07). Subgroup analysis revealed that short sleep duration was associated with cancer risk among Asians (OR = 1.36; 95% CI: 1.02–1.80) and long sleep duration significantly increased the risk of colorectal cancer (OR = 1.21; 95% CI: 1.08–1.34). The dose–response meta-analysis showed no significant relationship between sleep duration and cancer risk. When treated as two linear piecewise functions with a cut point of 7 h, similar nonsignificant associations were found (per 1-h reduction: OR = 1.02, 95% CI = 0.98–1.07; per 1-h increment: OR = 1.003, 95% CI = 0.97–1.03).

          Conclusion

          Categorical meta-analysis indicated that short sleep duration increased cancer risk in Asians and long sleep duration increased the risk of colorectal cancer, but these findings were not consistent in the dose–response meta-analysis. Long-term randomized controlled trials and well-designed prospective studies are needed to establish causality and to elucidate the mechanism underlying the association between sleep duration and cancer risk.

          Electronic supplementary material

          The online version of this article (10.1186/s12885-018-5025-y) contains supplementary material, which is available to authorized users.

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          Most cited references74

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          The metabolic consequences of sleep deprivation.

          The prevalence of diabetes and obesity is increasing at an alarming rate worldwide, and the causes of this pandemic are not fully understood. Chronic sleep curtailment is a behavior that has developed over the past 2-3 decades. Laboratory and epidemiological studies suggest that sleep loss may play a role in the increased prevalence of diabetes and/or obesity. Current data suggest the relationship between sleep restriction, weight gain and diabetes risk may involve at least three pathways: (1) alterations in glucose metabolism; (2) upregulation of appetite; and (3) decreased energy expenditure. The present article reviews the current evidence in support of these three mechanisms that might link short sleep and increased obesity and diabetes risk.
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            Sleep duration and biomarkers of inflammation.

            Extremes of sleep duration have been associated with adverse health outcomes. The mechanism is unclear but may be related to increased inflammation. We sought to assess the association between sleep duration and inflammatory biomarkers. A total of 614 individuals from the Cleveland Family Study completed questionnaires about sleep habits and underwent polysomnography. A morning fasting blood sample was assayed for 5 inflammatory cytokines. In this cohort, mean (SD) habitual sleep duration based on self-report was 7.6 (1.6) h and mean sleep duration by polysomnography (PSG) on the night prior to blood sampling was 6.2 (1.3) h. After adjusting for obesity and apnea severity, each additional hour of habitual sleep duration was associated with an 8% increase in C-reactive protein (CRP) levels (P=0.004) and 7% increase in interleukin-6 (IL-6) levels (P=0.0003). These associations were independent of self-reported sleepiness. In contrast, PSG sleep duration was inversely associated with tumor necrosis factor alpha (TNFa) levels. For each hour reduction in sleep, TNFalpha levels increased by 8% on average (P=0.02). Sleep duration was not associated with IL-1 or IL-10. Increases in habitual sleep durations are associated with elevations in CRP and IL-6 while reduced PSG sleep duration is associated with elevated TNFa levels. Activation of pro-inflammatory pathways may represent a mechanism by which extreme sleep habits affect health.
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              Estrogen and cancer.

              Estrogen exhibits a broad spectrum of physiological functions ranging from regulation of the menstrual cycle and reproduction to modulation of bone density, brain function, and cholesterol mobilization. Despite the beneficial actions of endogenous estrogen, sustained exposure to exogenous estrogen is a well-established risk factor for various cancers. We summarize our current understanding of the molecular mechanisms of estrogen signaling in normal and cancer cells and discuss the major challenges to existing antiestrogen therapies.
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                Author and article information

                Contributors
                +86-10-87787428 , daimin2002@hotmail.com
                +86-10-87788662 , nli@cicams.ac.cn
                Journal
                BMC Cancer
                BMC Cancer
                BMC Cancer
                BioMed Central (London )
                1471-2407
                21 November 2018
                21 November 2018
                2018
                : 18
                : 1149
                Affiliations
                [1 ]ISNI 0000 0000 9889 6335, GRID grid.413106.1, Cancer Foundation of China, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, ; Beijing, 100021 China
                [2 ]ISNI 0000 0000 9889 6335, GRID grid.413106.1, Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, ; Beijing, 100021 China
                [3 ]ISNI 0000 0000 9889 6335, GRID grid.413106.1, Office for Cancer Early Diagnosis and Treatment, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, ; Beijing, 100021 China
                [4 ]ISNI 0000 0004 1799 4638, GRID grid.414008.9, Henan Office for Cancer Control and Research, , the Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, ; Zhengzhou, 450008 China
                Article
                5025
                10.1186/s12885-018-5025-y
                6249821
                30463535
                bd0af0f0-6811-4f9d-8238-fbd09174f4db
                © The Author(s). 2018

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 11 May 2018
                : 31 October 2018
                Funding
                Funded by: National Key R&D Program of China
                Award ID: 2016YFC0905400
                Award ID: 2016YFC1302500
                Award ID: 2017YFC0907900
                Award ID: 2018YFC1315000
                Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 81871885
                Award ID: 81673265
                Funded by: Training Programme Foundation for the Talents in Beijing City
                Award ID: 2017000021223TD05
                Funded by: Beijing Municipal Science and Technology Project
                Award ID: D171100002617001
                Funded by: Special Foundation for Central Committee Health Care
                Award ID: W2017BJ39
                Funded by: PUMC Youth Fund
                Award ID: 2017320013
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2018

                Oncology & Radiotherapy
                cancer incidence,sleep duration,categorical meta-analysis,dose–response meta-analysis

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