Bedroom environment and sleep health

Sleep disturbances are common in modern society. Since the beginning of the century, populations have shown a decline in sleep duration, owing to changes in environmental and social conditions. Industry was the first to appreciate the detrimental effects of sleep disturbances on health and wellbeing. It has taken, however, many decades to understand the implications for individuals and populations of sustained sleep deprivation.

Download Full-text

Vigilance & Wake-A-Thons: a novel sleep health communication concept proposed by vancouver summer sleep school students

Sleep Medicine ◽

10.1016/j.sleep.2019.11.123 ◽

2019 ◽

Vol 64 ◽

pp. S44-S45

Author(s):

K. Xiao ◽

S. Mavani ◽

K. Go ◽

R. Boldut ◽

K. Xu ◽

...

Keyword(s):

Health Communication ◽

School Students ◽

Sleep Health

Download Full-text

First sleep health guidelines for Canadian adults: implications for clinicians

Sleep Medicine ◽

10.1016/j.sleep.2021.01.012 ◽

2021 ◽

Vol 79 ◽

pp. 117-118

Author(s):

Jean-Philippe Chaput ◽

Julie Carrier

Keyword(s):

Sleep Health

Download Full-text

699 Sleep Health Traits and COVID-19: Mortality Risk from the UK Biobank

SLEEP ◽

10.1093/sleep/zsab072.697 ◽

2021 ◽

Vol 44 (Supplement_2) ◽

pp. A273-A273

Author(s):

Xi Zheng ◽

Ma Cherrysse Ulsa ◽

Peng Li ◽

Lei Gao ◽

Kun Hu

Keyword(s):

Risk Factors ◽

Sleep Apnea ◽

Sleep Duration ◽

Sex Education ◽

Mortality Risk ◽

Self Report ◽

Severe Illness ◽

Uk Biobank ◽

Sleep Health ◽

The Uk

Abstract Introduction While there is emerging evidence for acute sleep disruption in the aftermath of coronavirus disease 2019 (COVID-19), it is unknown whether sleep traits contribute to mortality risk. In this study, we tested whether earlier-life sleep duration, chronotype, insomnia, napping or sleep apnea were associated with increased 30-day COVID-19 mortality. Methods We included 34,711 participants from the UK Biobank, who presented for COVID-19 testing between March and October 2020 (mean age at diagnosis: 69.4±8.3; range 50.2–84.6). Self-reported sleep duration (less than 6h/6-9h/more than 9h), chronotype (“morning”/”intermediate”/”evening”), daytime dozing (often/rarely), insomnia (often/rarely), napping (often/rarely) and presence of sleep apnea (ICD-10 or self-report) were obtained between 2006 and 2010. Multivariate logistic regression models were used to adjust for age, sex, education, socioeconomic status, and relevant risk factors (BMI, hypertension, diabetes, respiratory diseases, smoking, and alcohol). Results The mean time between sleep measures and COVID-19 testing was 11.6±0.9 years. Overall, 5,066 (14.6%) were positive. In those who were positive, 355 (7.0%) died within 30 days (median = 8) after diagnosis. Long sleepers (>9h vs. 6-9h) [20/103 (19.4%) vs. 300/4,573 (6.6%); OR 2.09, 95% 1.19–3.64, p=0.009), often daytime dozers (OR 1.68, 95% 1.04–2.72, p=0.03), and nappers (OR 1.52, 95% 1.04–2.23, p=0.03) were at greater odds of mortality. Prior diagnosis of sleep apnea also saw a two-fold increased odds (OR 2.07, 95% CI: 1.25–3.44 p=0.005). No associations were seen for short sleepers, chronotype or insomnia with COVID-19 mortality. Conclusion Data across all current waves of infection show that prior sleep traits/disturbances, in particular long sleep duration, daytime dozing, napping and sleep apnea, are associated with increased 30-day mortality after COVID-19, independent of health-related risk factors. While sleep health traits may reflect unmeasured poor health, further work is warranted to examine the exact underlying mechanisms, and to test whether sleep health optimization offers resilience to severe illness from COVID-19. Support (if any) NIH [T32GM007592 and R03AG067985 to L.G. RF1AG059867, RF1AG064312, to K.H.], the BrightFocus Foundation A2020886S to P.L. and the Foundation of Anesthesia Education and Research MRTG-02-15-2020 to L.G.

Download Full-text

Effect of a physical activity and sleep m-health intervention on a composite activity-sleep behaviour score and mental health: a mediation analysis of two randomised controlled trials

International Journal of Behavioral Nutrition and Physical Activity ◽

10.1186/s12966-021-01112-z ◽

2021 ◽

Vol 18 (1) ◽

Author(s):

Mitch J. Duncan ◽

Anna T. Rayward ◽

Elizabeth G. Holliday ◽

Wendy J. Brown ◽

Corneel Vandelanotte ◽

...

Keyword(s):

Mental Health ◽

Physical Activity ◽

Trial Registration ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Sleep Health ◽

Intervention Effects ◽

Symptoms Of Depression ◽

Randomised Controlled

Abstract Background To examine if a composite activity-sleep behaviour index (ASI) mediates the effects of a combined physical activity and sleep intervention on symptoms of depression, anxiety, or stress, quality of life (QOL), energy and fatigue in adults. Methods This analysis used data pooled from two studies: Synergy and Refresh. Synergy: Physically inactive adults (18–65 years) who reported poor sleep quality were recruited for a two-arm Randomised Controlled Trial (RCT) (Physical Activity and Sleep Health (PAS; n = 80), or Wait-list Control (CON; n = 80) groups). Refresh: Physically inactive adults (40–65 years) who reported poor sleep quality were recruited for a three-arm RCT (PAS (n = 110), Sleep Health-Only (SO; n = 110) or CON (n = 55) groups). The SO group was omitted from this study. The PAS groups received a pedometer, and accessed a smartphone/tablet “app” using behaviour change strategies (e.g., self-monitoring, goal setting, action planning), with additional email/SMS support. The ASI score comprised self-reported moderate-to-vigorous-intensity physical activity, resistance training, sitting time, sleep duration, efficiency, quality and timing. Outcomes were assessed using DASS-21 (depression, anxiety, stress), SF-12 (QOL-physical, QOL-mental) and SF-36 (Energy & Fatigue). Assessments were conducted at baseline, 3 months (primary time-point), and 6 months. Mediation effects were examined using Structural Equation Modelling and the product of coefficients approach (AB), with significance set at 0.05. Results At 3 months there were no direct intervention effects on mental health, QOL or energy and fatigue (all p > 0.05), and the intervention significantly improved the ASI (all p < 0.05). A more favourable ASI score was associated with improved symptoms of depression, anxiety, stress, QOL-mental and of energy and fatigue (all p < 0.05). The intervention effects on symptoms of depression ([AB; 95%CI] -0.31; − 0.60,-0.11), anxiety (− 0.11; − 0.27,-0.01), stress (− 0.37; − 0.65,-0.174), QOL-mental (0.53; 0.22, 1.01) and ratings of energy and fatigue (0.85; 0.33, 1.63) were mediated by ASI. At 6 months the magnitude of association was larger although the overall pattern of results remained similar. Conclusions Improvements in the overall physical activity and sleep behaviours of adults partially mediated the intervention effects on mental health and quality of life outcomes. This highlights the potential benefit of improving the overall pattern of physical activity and sleep on these outcomes. Trial registration Australian New Zealand Clinical Trial Registry: ACTRN12617000680369; ACTRN12617000376347. Universal Trial number: U1111–1194-2680; U1111–1186-6588. Human Research Ethics Committee Approval: H-2016-0267; H-2016–0181.

Download Full-text

Multidimensional Sleep Health and Physical Functioning in Older Adults

Innovation in Aging ◽

10.1093/geroni/igaa057.1382 ◽

2020 ◽

Vol 4 (Supplement_1) ◽

pp. 428-428

Author(s):

Caitlan Tighe ◽

Ryan Brindle ◽

Sarah Stahl ◽

Meredith Wallace ◽

Adam Bramoweth ◽

...

Keyword(s):

Older Adults ◽

Lower Extremity ◽

Grip Strength ◽

Physical Functioning ◽

Gait Speed ◽

The United States ◽

Depression Symptoms ◽

Sleep Health ◽

Lower Extremity Strength ◽

Sleep Parameters

Abstract Prior studies link specific sleep parameters to physical functioning in older adults. Recent work suggests the utility of examining sleep health from a multidimensional perspective, enabling consideration of an individual’s experience across multiple different sleep parameters (e.g., quality, duration, timing). We examined the associations of multidimensional sleep health with objective, performance-based measures of physical functioning in older adults. We conducted a secondary analysis of 158 adults (Mage=71.8 years; 51.9% female) who participated in the Midlife in the United States (MIDUS) 2 and MIDUS Refresher studies. We used data from daily diaries, wrist actigraphy, and self-report measures to derive a composite multidimensional sleep health score ranging from 0-6, with higher scores indicating better sleep health. Physical function was assessed using gait speed during a 50-foot timed walk, lower extremity strength as measured by a chair stand test, and grip strength assessed with dynamometers. We used hierarchical regression to examine the associations between sleep health and gait speed, lower extremity strength, and grip strength. Age, sex, race, education, depression symptoms, medical comorbidity, and body mass index were covariates in each model. In adjusted analyses, better multidimensional sleep health was significantly associated with faster gait speed (B=.03, p=.01). Multidimensional sleep health was not significantly associated with lower limb strength (B=-.12, p=.89) or grip strength (B=.45, p=.40). Gait speed is a key indicator of functional capacity as well as morbidity and mortality in older adults. Multidimensional sleep health may be a therapeutic target for improving physical functioning and health in older adults.

Download Full-text