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      Can physical activity eliminate the mortality risk associated with poor sleep? A 15-year follow-up of 341,248 MJ Cohort participants

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          Highlights

          • Long sleep duration (>8 h/day), difficulty falling asleep, and use of sleeping medication were related to a higher risk of all cause and cardiovascular death.

          • No association between short sleep (<6 h/day) and mortality was found. However, short sleep duration increased mortality risk among the least physically active group.

          • Physical activity may mitigate some of the mortality risks arising from poor sleep patterns and the risks of short sleep duration are exacerbated by physical inactivity.

          Abstract

          Background

          This study examined the joint associations of sleep patterns and physical activity (PA) with all-cause, cardiovascular disease (CVD), and cancer mortality.

          Methods

          A total of 341,248 adults (mean age = 39.7 years; men: 48.3%) were included in the study, with a 15-year follow-up. Participants reported sleep duration and disturbances (difficulty falling asleep, easily awakened, or use of sleeping medication). PA was classified into 4 levels: <7.5, 7.5–14.9, 15.0–29.9, and ≥30.0 metabolic equivalent hours per week (MET-h/week). To understand the joint associations of sleep patterns and PA with mortality, Cox proportional hazard models were conducted, with exposure variables combining sleep duration/disturbances and PA.

          Results

          Compared with the reference group (sleeping 6–8 h/day), individuals who slept >8 h/day had higher risk for all-cause mortality (hazard ratio (HR) = 1.307, 95% confidence interval (95%CI): 1.248–1.369), CVD mortality (HR = 1.298, 95%CI: 1.165–1.445), and cancer mortality (HR = 1.128, 95%CI: 1.042–1.220). Short sleep duration was not associated with mortality risk. Increased risk of all-cause and CVD mortality was found in participants who had difficulty falling asleep (HR = 1.120, 95%CI: 1.068–1.175; HR = 1.163, 95%CI: 1.038–1.304, respectively), and used sleeping medication (HR = 1.261, 95%CI: 1.159–1.372; HR = 1.335, 95%CI: 1.102–1.618, respectively) compared with those who slept well. Long sleep duration and sleep disturbances were not associated with risk of all-cause and CVD mortality among individuals achieving a PA level of ≥15 MET-h/week, and in particular among those achieving ≥30 MET-h/week.

          Conclusion

          Long sleep duration, difficulty falling asleep, and use of sleeping medication were related to a higher risk of death. Being physically active at a moderate intensity for 25–65 min/day eliminated these detrimental associations.

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          Most cited references60

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          A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation

          The objective of this study was to develop a prospectively applicable method for classifying comorbid conditions which might alter the risk of mortality for use in longitudinal studies. A weighted index that takes into account the number and the seriousness of comorbid disease was developed in a cohort of 559 medical patients. The 1-yr mortality rates for the different scores were: "0", 12% (181); "1-2", 26% (225); "3-4", 52% (71); and "greater than or equal to 5", 85% (82). The index was tested for its ability to predict risk of death from comorbid disease in the second cohort of 685 patients during a 10-yr follow-up. The percent of patients who died of comorbid disease for the different scores were: "0", 8% (588); "1", 25% (54); "2", 48% (25); "greater than or equal to 3", 59% (18). With each increased level of the comorbidity index, there were stepwise increases in the cumulative mortality attributable to comorbid disease (log rank chi 2 = 165; p less than 0.0001). In this longer follow-up, age was also a predictor of mortality (p less than 0.001). The new index performed similarly to a previous system devised by Kaplan and Feinstein. The method of classifying comorbidity provides a simple, readily applicable and valid method of estimating risk of death from comorbid disease for use in longitudinal studies. Further work in larger populations is still required to refine the approach because the number of patients with any given condition in this study was relatively small.
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            The Physical Activity Guidelines for Americans

            Approximately 80% of US adults and adolescents are insufficiently active. Physical activity fosters normal growth and development and can make people feel, function, and sleep better and reduce risk of many chronic diseases.
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              Health benefits of physical activity: the evidence.

              The primary purpose of this narrative review was to evaluate the current literature and to provide further insight into the role physical inactivity plays in the development of chronic disease and premature death. We confirm that there is irrefutable evidence of the effectiveness of regular physical activity in the primary and secondary prevention of several chronic diseases (e.g., cardiovascular disease, diabetes, cancer, hypertension, obesity, depression and osteoporosis) and premature death. We also reveal that the current Health Canada physical activity guidelines are sufficient to elicit health benefits, especially in previously sedentary people. There appears to be a linear relation between physical activity and health status, such that a further increase in physical activity and fitness will lead to additional improvements in health status.
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                Author and article information

                Contributors
                Journal
                J Sport Health Sci
                J Sport Health Sci
                Journal of Sport and Health Science
                Shanghai University of Sport
                2095-2546
                2213-2961
                10 March 2021
                September 2022
                10 March 2021
                : 11
                : 5
                : 596-604
                Affiliations
                [a ]Department of Exercise Health Science, (National) Taiwan University of Sport, Taichung 40404, China
                [b ]Institute of Sport Exercise and Health, Division of Surgery and Interventional Science, Faculty of Medical Sciences, University College London, London, WC1E 6BT, UK
                [c ]Division of Endocrinology and Metabolism, Department of Internal Medicine, Puli Branch of Taichung Veterans General Hospital, Nantou 54552, China
                [d ]School of Medicine, (National) Yang-Ming University, Taipei 11221, China
                [e ]Charles Perkins Centre, School of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2006, Australia
                [f ]Graduate Institute of Sports and Health, (National) Changhua University of Education, Changhua 50007, China
                [g ]Department of Kinesiology, (National) Tsing Hua University, Hsinchu 30013, China
                Author notes
                [* ]Corresponding author. Current address: Graduate Institute of Sports and Health Management, (National) Chung Hsing University, Taichuang City 404, China powen.ku@ 123456nchu.edu.tw
                [#]

                Joint senior authors.

                Article
                S2095-2546(21)00026-0
                10.1016/j.jshs.2021.03.001
                9532590
                33713846
                9c1ddd43-a0a1-4a9e-9c10-d6493ec7f066
                © 2021 Published by Elsevier B.V. on behalf of Shanghai University of Sport.

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 18 September 2020
                : 27 October 2020
                : 16 November 2020
                Categories
                Original Article

                exercise,heart disease,inactivity,insomnia,sleep disorders
                exercise, heart disease, inactivity, insomnia, sleep disorders

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