Associations Between Sleep Quality and Health Span: A Prospective Cohort Study Based on 328,850 UK Biobank Participants

Sambou, Muhammed Lamin; Zhao, Xiaoyu; Hong, Tongtong; Fan, Jingyi; Basnet, Til Bahadur; Zhu, Meng; Wang, Cheng; Hang, Dong; Yue, Jiang; Dai, Juncheng

doi:10.3389/fgene.2021.663449

Cited by 16 publications

(13 citation statements)

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“…Because only 33 participants scored 0, we combined 0 and 1 for the analysis. A similar sleep score has been associated with health benefits, including lower risk of heart disease and longevity …”

Section: Methodsmentioning

confidence: 99%

“…A similar sleep score has been associated with health benefits, including lower risk of heart disease and longevity. 21,[34][35][36] At COVID-19 substudy baseline, participants were asked about their average daily sleep duration (in hours) and sleep quality (from very bad to very good) in the past 7 days. To jointly capture sleep health both before (2015-2017) and early in the pandemic (April to August 2020), we created a variable in 6 levels.…”

Section: Assessment Of Sleep Dimensionsmentioning

confidence: 99%

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Multidimensional Sleep Health Prior to SARS-CoV-2 Infection and Risk of Post–COVID-19 Condition

et al. 2023

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ImportanceThe association of multiple healthy sleep dimensions with post–COVID-19 condition (PCC), also known as long COVID, has not been investigated.ObjectiveTo examine whether multidimensional sleep health before and during the COVID-19 pandemic, prior to SARS-CoV-2 infection, was associated with the risk of PCC.Design, Setting, and ParticipantsThis prospective cohort study (2015-2021) included Nurses’ Health Study II participants who reported testing positive (n = 2303) for SARS-CoV-2 infection in a substudy series of COVID-19–related surveys (n = 32 249) between April 2020 and November 2021. After exclusion for incomplete information about sleep health and nonresponse to a question about PCC, 1979 women were included in the analysis.ExposuresSleep health was measured both before (June 1, 2015, to May 31, 2017) and early (April 1 to August 31, 2020) in the COVID-19 pandemic. Prepandemic sleep score was defined according to 5 dimensions: morning chronotype (assessed in 2015), 7 to 8 hours of sleep per day, low insomnia symptoms, no snoring, and no frequent daytime dysfunction (all assessed in 2017). On the first COVID-19 substudy survey (returned between April and August 2020), average daily sleep duration and sleep quality for the past 7 days were queried.Main Outcomes and MeasuresSARS-CoV-2 infection and PCC (≥4 weeks of symptoms) were self-reported during 1 year of follow-up. Comparisons were examined between June 8, 2022, and January 9, 2023, using Poisson regression models.ResultsOf the 1979 participants reporting SARS-CoV-2 infection (mean [SD] age, 64.7 [4.6] years; 1979 [100%] female; and 1924 [97.2%] White vs 55 [2.8%] other races and ethnicities), 845 (42.7%) were frontline health care workers, and 870 (44.0%) developed PCC. Compared with women who had a prepandemic sleep score of 0 or 1 (least healthy), those who scored 5 (most healthy) had a 30% lower risk of developing PCC (multivariable-adjusted relative risk, 0.70; 95% CI, 0.52-0.94; P for trend &lt;.001). Associations did not differ by health care worker status. No or little daytime dysfunction prepandemic and good sleep quality during the pandemic were independently associated with a lower risk of PCC (relative risk, 0.83 [95% CI, 0.71-0.98] and 0.82 [95% CI, 0.69-0.99], respectively). Results were similar when PCC was defined as having 8 or more weeks of symptoms or as having ongoing symptoms at the time of PCC assessment.Conclusions and RelevanceThe findings indicate that healthy sleep measured prior to SARS-CoV-2 infection, both before and during the COVID-19 pandemic, may be protective against PCC. Future research should investigate whether interventions on sleep health may prevent PCC or improve PCC symptoms.

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Section: Methodsmentioning

confidence: 99%

Section: Assessment Of Sleep Dimensionsmentioning

confidence: 99%

Multidimensional Sleep Health Prior to SARS-CoV-2 Infection and Risk of Post–COVID-19 Condition

et al. 2023

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“…Sleep duration is linked to a variety of health problems, and the quality of sleep should be considered, including snoring. 21 In this cross-sectional study, the odds of diabetes increased with the snoring frequency, even after adjustment for confounders. Frequent snoring is associated with diabetes in premenopausal women and women ten years or more after menopause.…”

Section: Discussionmentioning

confidence: 63%

Association Between Snoring and Diabetes Among Pre- and Postmenopausal Women

Yuan¹,

Zhang²,

Qiu³

et al. 2022

IJGM

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Purpose To examine the relationship between diabetes and snoring frequency and determine the effect of menopause and postmenopausal years on this relationship. Methods We included 12,218 premenopausal and postmenopausal women from part of the baseline of the China Multi-Ethnic Cohort study (CMEC) in Chongqing province. Face-to-face questionnaires, physical examination, and biological samples were used to collect data. Logistic regression and subgroup analysis were used to explore the relationship between snoring and diabetes in women with various menopausal statuses. Results The risk of diabetes increased with the snoring frequency, with adjusted odds ratios of 1.23 (95% CI:1.05–1.43) and 1.47 (95% CI:1.25–1.73) for sometimes snoring and frequent snoring, compared to non-snoring. In premenopausal and postmenopausal women, frequent snoring increased the odds of diabetes by 58% (95% CI: 7–132%) and 43% (95% CI: 20–72%), respectively, compared to non-snoring. Only in women who were ≥10 years postmenopausal had a statistical association between frequent snoring and diabetes, with a 54% (95% CI: 23–92%) increased odds of diabetes, compared to women who did not snore. Conclusion Snoring frequency is positively associated with diabetes. Women who snore frequently before and for at least ten years after menopause are at higher risk of developing diabetes. Frequent snorers and long-term postmenopausal women should monitor blood glucose levels to aid in the early detection and treatment of diabetes.

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“…Secondly, dichotomising various factors may lead to loss of information and statistical power in multivariate analysis. However, the classification treatment of various continuous variables in current study is not only based on the conventional practice of previous literature [ 39 , 69 ], but also makes the interpretation and presentation of results easier to understand [ 70 ]. In addition, the sleep duration variable collected in this study was self-reported information, which may lead to recall bias.…”

Section: Discussionmentioning

confidence: 99%

The role of depression and physical activity in the association of between sleep quality, and duration with and health-related quality of life among the elderly: a UK Biobank cross-sectional study

et al. 2022

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Background Although studies have shown that sleep quality (duration) is associated with health-related quality of life (HRQoL), most of these studies have been small-sized and targeted at young and middle-aged adults. In addition, few studies have explored the path mechanism of sleep disorders leading to impaired HRQoL. Objectives This study aimed to determine the association between sleep quality and duration and HRQoL among the elderly in the United Kingdom, assess whether depression mediated the association, and explore the role of physical activity (PA) in the path association. Methods Data were extracted from the baseline survey of the UK Biobank, a large prospective cohort study enrolling more than 500,000 participants, of which 52,551 older adults (aged ≥60 years) were included in the study. HRQoL was assessed using the European Quality of Life-5 Dimensions. Tobit and multivariate logistic regression models were used to determine the association between sleep quality and duration and HRQoL. The mediating and moderated mediation models were estimated using the PROCESS macro and MEDCURVE macro. Results The Tobit model showed that the elderly with short or long sleep duration (β = − 0.062, 95% confidence interval [CI] = − 0.071 to − 0.053; β = − 0.072, 95% CI = − 0.086 to − 0.058) had worse HRQoL after adjusting potential covariates. In the logistic regression models, we found an inverted U-shaped association between sleep duration and HRQoL. Moreover, a significant positive association was observed between sleep quality and HRQoL (all P < 0.05). The results also revealed that depression mediated the association between sleep disorders and HRQoL (sleep quality: β = 0.008, 95% CI = 0.007–0.010; sleep duration: θ = 0.001 [mean], 95% CI = 0.001–0.002). Furthermore, PA moderated all paths among sleep quality and duration, depression, and HRQoL, and greater effects were observed in the elderly with lower PA levels. Conclusions The findings show that poor sleep quality and duration were independently associated with worse HRQoL among the elderly in the United Kingdom. Furthermore, PA buffers the mediating effect of depression and adverse effects of sleep disorders on HRQoL. It is essential to properly increase PA and provide early intervention for depression in the elderly with sleep disorders to improve their HRQoL.

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Associations Between Sleep Quality and Health Span: A Prospective Cohort Study Based on 328,850 UK Biobank Participants

Cited by 16 publications

References 55 publications

Multidimensional Sleep Health Prior to SARS-CoV-2 Infection and Risk of Post–COVID-19 Condition

Multidimensional Sleep Health Prior to SARS-CoV-2 Infection and Risk of Post–COVID-19 Condition

Association Between Snoring and Diabetes Among Pre- and Postmenopausal Women

The role of depression and physical activity in the association of between sleep quality, and duration with and health-related quality of life among the elderly: a UK Biobank cross-sectional study

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