Sleep, health, productivity, and the double-edged sword of technology

2021 ◽  
Vol 28 (1) ◽  
pp. 24-27
Author(s):  
Stephen M. Mattingly
Keyword(s):  
Sleep Health ◽  
Impaired Sleep

While technology has traditionally impaired sleep, it also has the potential to enable and reframe sleep as a productivity and health booster.

Clinical Implications of Impaired Sleep

2014 ◽  
Vol 8 (6) ◽  
pp. 352-370 ◽  
Author(s):  
Lisa Terre
Keyword(s):  
Primary Care ◽  
Health Risks ◽  
Psychological Problems ◽  
Clinical Implications ◽  
Evidence Based ◽  
Sleep Health ◽  
Lifestyle Medicine ◽  
Clinical Benefits ◽  
Impaired Sleep

Despite its pervasiveness in primary care, deficient sleep often is underappreciated as a cue to other health risks. Accordingly, this review discusses contemporary evidence-based perspectives on impaired sleep and its associations with other lifestyle medicine concerns, including obesity, cardiovascular conditions, psychological problems, and health-compromising habits. The potential clinical benefits of promoting sleep health also will be considered.

scholarly journals P069 Health professionals’ perceptions of sleep in palliative care: A qualitative study

2021 ◽  
Vol 2 (Supplement_1) ◽  
pp. A43-A43
Author(s):  
A Lalor ◽  
R Laurie ◽  
D Parikh
Keyword(s):  
Palliative Care ◽  
Health Professionals ◽  
Structured Interviews ◽  
Sleep Health ◽  
Health And Wellbeing ◽  
Qualitative Research Design ◽  
Sleep Management ◽  
Impaired Sleep ◽  
Practice Development ◽  
Sleep Difficulties

Abstract Introduction Sleep is vital for all individuals however sleep difficulties are highly prevalent for those receiving palliative care. Impaired sleep impacts their everyday participation and overall health and wellbeing. Although sleep is recognised as an important factor for care, limited evidence exists regarding health professionals’ perceptions of sleep for patients receiving palliative. Methods A qualitative research design was used to investigate the perceptions and roles of health professionals in identifying and addressing sleep difficulties in patients receiving palliative care. In-depth semi-structured interviews were conducted with ten health professionals across six disciplines with minimum six months experience working in palliative care. Interviews were audio recorded, transcribed verbatim and thematically analysed. Pseudonyms were used to de-identify participants. Results Five themes were identified: (1) patient’s sleep is highly valued; (2) sleep in palliative care is complex; (3) perspectives and approaches to sleep management vary; (4) challenges in addressing sleep; and (5) health professionals desire for sleep knowledge. Discussion Findings highlight health professionals’ perceptions of sleep difficulties and consequential implications, and the importance of sleep for both patients and caregivers. Participants perceive priorities of care and limited resources and training in sleep management hindered their clinical practice in addressing sleep. Health professionals working in palliative care could benefit from reorienting practice, development of and access to up-to-date resources regarding sleep, and support to provide sleep education for patients and caregivers.

Sleep, health, and society

2018 ◽  
Author(s):  
Francesco P. Cappuccio ◽  
Michelle A. Miller ◽  
Steven W. Lockley ◽  
Shantha M. W. Rajaratnam
Keyword(s):  
Sleep Deprivation ◽  
Sleep Duration ◽  
Sleep Disturbances ◽  
Modern Society ◽  
Social Conditions ◽  
Sleep Health ◽  
Health And Wellbeing

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.

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

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

First sleep health guidelines for Canadian adults: implications for clinicians

2021 ◽  
Vol 79 ◽  
pp. 117-118
Author(s):  
Jean-Philippe Chaput ◽  
Julie Carrier
Keyword(s):  
Sleep Health

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

SLEEP ◽  
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.

scholarly journals 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

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.

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