Long Sleep Duration Is Associated With Higher Mortality in Older People Independent of Frailty: A 5-Year Cohort Study

2014 ◽  
Vol 15 (9) ◽  
pp. 649-654 ◽  
Author(s):  
Jenny S.W. Lee ◽  
T.W. Auyeung ◽  
Jason Leung ◽  
Dicken Chan ◽  
Timothy Kwok ◽  
...  
2018 ◽  
Vol 41 ◽  
pp. 78-85 ◽  
Author(s):  
Sandra H. van Oostrom ◽  
Astrid C.J. Nooyens ◽  
Martin P.J. van Boxtel ◽  
W.M. Monique Verschuren

2020 ◽  
Author(s):  
Mengyang He ◽  
Xiangling Deng ◽  
Yuqing Zhu ◽  
Luyao Huan ◽  
Wenquan Niu

Abstract Background: Short or long sleep duration is proposed as a potential risk factor for all-cause mortality in the older people, yet the results of published studies are not often reproducible. Objectives: We aimed to investigate whether short or long sleep duration was associated with an increased risk of all-cause mortality in the older people via a comprehensive meta-analysis. Methods: Literature retrieval, study selection and data extraction were completed independently and in duplicate. Effect-size estimates are expressed as relative risk (RR) and its 95% confidence interval (CI). Results: Summary data from 35 articles, involving a total of 106990 older people, were meta-analyzed. Overall analyses revealed a significant association between long sleep duration and all-cause mortality (RR=1.27, 95% CI: 1.19-1.35, P <.001), whereas marginal significance was observed for short sleep duration (RR=1.05; 95% CI: 1.00-1.09; P =.045). There was a low probability of publication bias as indicated by Egger’s test for the association between sleep duration and all-cause mortality. In subgroup analyses, the association between long sleep duration and all-cause mortality was relatively strong in women (RR=1.48, 95% CI: 1.18-1.85, P =.002) relative to men (RR=1.30, 95% CI: 1.10-1.50, P =.001) (Two-sample Z test P = .219). Further dose-response regression analyses showed that trend estimation was not obvious for short sleep duration ( P = .016) compared with long sleep duration ( P < .001), indicating a J-shaped relationship between sleep duration and all-cause mortality. Conclusions: Our findings indicate a J-shaped relationship between sleep duration and all-cause mortality in the older people, with long sleep duration significantly associating with all-cause mortality, especially in women.


2020 ◽  
Author(s):  
wenquan Niu ◽  
Mengyang He ◽  
Xiangling Deng ◽  
Yuqing Zhu ◽  
Luyao Huan

Abstract Background Short or long sleep duration is recognized as a potential risk factor for all-cause mortality in the older people, yet the results are not often reproducible. Objectives We aimed to investigate whether sleep duration was associated with an increased risk of all-cause mortality in the older people through a comprehensive meta-analysis. Methods Literature retrieval, research selection and data extraction were done independently and in duplicate. Effect-size estimates are expressed as odds ratio (OR) and 95% confidence interval (CI). Results Summary data from 35 articles, involving 11746 older people, were meta-analyzed. Overall analyses revealed a significant association between long sleep duration and all-cause mortality in the older people (OR=1.27, 95% CI: 1.19-1.35, P <.001), and short sleep duration was marginally related to the all-cause mortality in the older people (OR=1.05; 95% CI: 1.00-1.09; P =.045). The Egger’s test indicated no publication bias between sleep duration and all-cause mortality in the older people. In subgroup analyses, the association with all-cause mortality was reinforced in older people women with long sleep duration (OR=1.48, 95% CI: 1.18-1.85, P =.002) relative to older people men with long sleep duration (OR=1.3, 95% CI: 1.10-1.50, P =.001). Further dose-response analyses showed a J-shaped relationship between sleep duration and all-cause mortality in the older people. Conclusions Our meta-analytical findings demonstrated a J-shaped relationship between sleep duration and all-cause mortality in the older people. For long sleep duration, older people women had a higher mortality rate than older people men.


2021 ◽  
Vol 2 (Supplement_1) ◽  
pp. A20-A20
Author(s):  
R Piovezan ◽  
S Yu ◽  
C Hirotsu ◽  
P Marques-Vidal ◽  
R Visvanathan ◽  
...  

Abstract Background Muscle deterioration is a hallmark of aging and sleep may play a role in the development of sarcopenia. Population-based studies including objective evaluation of sleep characteristics and disorders may provide evidence of how sleep affects muscle function across adulthood. We aimed to evaluate associations of sleep characteristics with handgrip strength in a population-based cohort study. Methods Participants of the HypnoLaus study (Lausanne, Switzerland) aged &gt;40 years were cross-sectionally evaluated through questionnaires and PSG. Muscle strength was assessed by hand dynamometer and low muscle strength (LMS) was defined according to the criteria for sarcopenia (&lt;27 kg for men, &lt;16 kg for women). Multivariate logistic regression analysis controlling for potential confounders wereapplied. Results 1902 participants (mean [SD] age, 57.4 [10.5] years; 968 [50.9%] female) were enrolled. LMS was detected in 95 (5.0%) participants. After controlling for sociodemographic characteristics, lifestyle factors, and comorbidities, objectively measured long sleep duration (&gt;8h) was independently associated with LMS (OR=2.41, 95%CI=1.36–4.27). Subjective measures of sleep duration and quality, excessive daytime sleepiness, and other sleep characteristics obtained by PSG were not associated with LMS. Conclusions Objectively measured long sleep duration rather than short sleep duration was associated with LMS in a population-based study including participants aged &gt;40 years. Self-reported sleep duration was not associated with LMS. The findings suggest long sleep duration measured by PSG is a potential risk factor for sarcopenia and should be considered as a target in preventive and therapeutic strategies against the development of muscle health decline observed with aging.


2020 ◽  
Author(s):  
Mengyang He ◽  
Xiangling Deng ◽  
Yuqing Zhu ◽  
Luyao Huan ◽  
Wenquan Niu

Abstract Background: Short or long sleep duration is proposed as a potential risk factor for all-cause mortality in the older people, yet the results of published studies are not often reproducible. Objectives: We aimed to investigate whether short or long sleep duration was associated with an increased risk of all-cause mortality in the older people via a comprehensive meta-analysis. Methods: Literature retrieval, study selection and data extraction were completed independently and in duplicate. Effect-size estimates are expressed as relative risk (RR) and its 95% confidence interval (CI). Results: Summary data from 35 articles, involving a total of 106990 older people, were meta-analyzed. Overall analyses revealed a significant association between long sleep duration and all-cause mortality (RR=1.27, 95% CI: 1.19-1.35, P <.001), whereas marginal significance was observed for short sleep duration (RR=1.05; 95% CI: 1.00-1.09; P =.045). There was a low probability of publication bias as indicated by Egger’s test for the association between sleep duration and all-cause mortality. In subgroup analyses, the association between long sleep duration and all-cause mortality was relatively strong in women (RR=1.48, 95% CI: 1.18-1.85, P =.002) relative to men (RR=1.30, 95% CI: 1.10-1.50, P =.001) (Two-sample Z test P = .219). Further dose-response regression analyses showed that trend estimation was not obvious for short sleep duration ( P = .016) compared with long sleep duration ( P < .001), indicating a J-shaped relationship between sleep duration and all-cause mortality. Conclusions: Our findings indicate a J-shaped relationship between sleep duration and all-cause mortality in the older people, with long sleep duration significantly associating with all-cause mortality, especially in women.


2020 ◽  
Vol 75 ◽  
pp. 477-483
Author(s):  
Fernando C. Wehrmeister ◽  
Andrea Wendt ◽  
Patrice de Souza Tavares ◽  
Francine Silva dos Santos ◽  
Mariane da Silva Dias ◽  
...  

2020 ◽  
Author(s):  
Mengyang He ◽  
Xiangling Deng ◽  
Yuqing Zhu ◽  
Luyao Huan ◽  
Wenquan Niu

Abstract Background: Short or long sleep duration is proposed as a potential risk factor for all-cause mortality in the older people, yet the results of published studies are not often reproducible. Objectives: We aimed to investigate whether short or long sleep duration was associated with an increased risk of all-cause mortality in the older people via a comprehensive meta-analysis. Methods: Literature retrieval, study selection and data extraction were completed independently and in duplicate. Effect-size estimates are expressed as relative risk (RR) and its 95% confidence interval (CI). Results: Summary data from 35 articles, involving a total of 106990 older people, were meta-analyzed. Overall analyses revealed a significant association between long sleep duration and all-cause mortality (RR=1.27, 95% CI: 1.19-1.35, P <.001), whereas marginal significance was observed for short sleep duration (RR=1.05; 95% CI: 1.00-1.09; P =.045). There was a low probability of publication bias as indicated by Egger’s test for the association between sleep duration and all-cause mortality. In subgroup analyses, the association between long sleep duration and all-cause mortality was relatively strong in women (RR=1.48, 95% CI: 1.18-1.85, P =.002) relative to men (RR=1.30, 95% CI: 1.10-1.50, P =.001) (Two-sample Z test P = .219). Further dose-response regression analyses showed that trend estimation was not obvious for short sleep duration ( P = .016) compared with long sleep duration ( P < .001), indicating a J-shaped relationship between sleep duration and all-cause mortality. Conclusions: Our findings indicate a J-shaped relationship between sleep duration and all-cause mortality in the older people, with long sleep duration significantly associating with all-cause mortality, especially in women.


SLEEP ◽  
2011 ◽  
Vol 34 (5) ◽  
pp. 575-580 ◽  
Author(s):  
Lin Xu ◽  
Chao Qiang Jiang ◽  
Tai Hing Lam ◽  
Bin Liu ◽  
Ya Li Jin ◽  
...  

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