Delayed sleep-wake phase.

Author(s):  
Lisa J. Meltzer ◽  
Valerie McLaughlin Crabtree
Keyword(s):  
2020 ◽  
Vol 4 (2) ◽  
pp. 167-176
Author(s):  
Achim Elfering ◽  
Christin Gerhardt ◽  
Diana Pereira ◽  
Anna Schenker ◽  
Maria U. Kottwitz

Abstract Purpose Accidents are more likely to occur during the morning hours of Mondays (Monday effect). This might be due to a higher level of cognitive failure on Monday morning at work. Methods In a pilot actigraphy study across one working week, we explored this Monday effect and regressed daily self-reported workplace cognitive failure on weekdays (Monday versus other days), background social stressors at work, delayed sleep onset and sleep duration. Diary data were gathered from 40 full-time employees. Results Confirming our assumptions, results revealed work-related cognitive failure and sleep-onset latency on the previous night to be higher on Mondays compared to other workdays. Work-related cognitive failure correlated positively with delayed sleep-onset latency and background social stressors. In multilevel regression analysis, Monday significantly explained variations in workplace cognitive failure. The addition of background social stressors at work and sleep-onset latency to the regression model showed unique contributions to the prediction of workplace cognitive failure. No significant two-way or three-way interactions between working days, sleep-onset latency or sleep duration, and background social stressors were found. Conclusion Peak levels of cognitive failure on Monday morning and the association of cognitive failure with social stressors at work contribute to understanding the mechanisms involved in the increased prevalence of occupational accidents on Monday morning. Occupational safety interventions should address both social stressors at work and individual sleep hygiene.


SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A91-A92
Author(s):  
Babita Pande ◽  
Meenakshi Sinha ◽  
Ramanjan Sinha

Abstract Introduction Lockdown and stay home order has been imposed on people in many countries including India to prevent the community transmission of COVID-19 pandemic. However this social restriction led to disturbed daily routine and lifestyle behaviour that is needed to be attended for proper therapeutic management of overall health during such crisis. The impact of lockdown on the most apparent behavioral changes viz. sleep-wake behaviour, major meal timings, and digital screen duration of Indians were investigated. In addition the effects of gender and age were explored. Methods After seeking permission from Ethical Institution, an online questionnaire based survey was circulated within India in the first week of May, 2020 for which total 1511 male and female (age ≥18 years) subjects participated. The sleep-wake behavior observed were sleep-wake timings, sleep duration, mid sleep time (MST) as function of lockdown, and social (lockdown) jetlag (SJL = MST before lockdown-MST during lockdown). Results The sleep onset-wakeup and meal times were significantly delayed during lockdown, which was more pronounced in younger age group. The sleep duration increased, specifically in young individuals during lockdown. Females showed more delayed sleep onset-waking times and first meal timing with longer sleep duration during lockdown. Increased digital media duration was observed in all age groups, primarily in males. The younger age group and specifically female reported higher SJL and delayed MST. A positive association was obtained between sleep duration & first meal time, and SJL & major meal timings/screen duration, and a significant negative relationship of sleep duration and SJL with age. Conclusion The study shows delayed sleep-wake schedule, meal timings and increased digital media duration among Indians during COVID-19 lockdown compared to before lockdown. Also, gender and age emerged as important mediating factors for this alteration. The pandemic has given opportunity to sleep more and compensate for the sleep. In spite of that, the higher social jetlag in young age group and female showed the compromised sleep and maladaption with societal timing. These findings have applied implications in sleep health during longer social isolation conditions and for proper therapeutic management. Support (if any) No


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Federico Salfi ◽  
Marco Lauriola ◽  
Aurora D’Atri ◽  
Giulia Amicucci ◽  
Lorenzo Viselli ◽  
...  

AbstractThe first COVID-19 contagion wave caused unprecedented restraining measures worldwide. In Italy, a period of generalized lockdown involving home confinement of the entire population was imposed for almost two months (9 March–3 May 2020). The present is the most extensive investigation aimed to unravel the demographic, psychological, chronobiological, and work-related predictors of sleep disturbances throughout the pandemic emergency. A total of 13,989 Italians completed a web-based survey during the confinement period (25 March–3 May). We collected demographic and lockdown-related work changes information, and we evaluated sleep quality, insomnia and depression symptoms, chronotype, perceived stress, and anxiety using validated questionnaires. The majority of the respondents reported a negative impact of confinement on their sleep and a delayed sleep phase. We highlighted an alarming prevalence of sleep disturbances during the lockdown. Main predictors of sleep disturbances identified by regression models were: female gender, advanced age, being a healthcare worker, living in southern Italy, confinement duration, and a higher level of depression, stress, and anxiety. The evening chronotype emerged as a vulnerability factor, while morning-type individuals showed a lower predisposition to sleep and psychological problems. Finally, working from home was associated with less severe sleep disturbances. Besides confirming the role of specific demographic and psychological factors in developing sleep disorders during the COVID-19 pandemic, we propose that circadian typologies could react differently to a particular period of reduced social jetlag. Moreover, our results suggest that working from home could play a protective role against the development of sleep disturbances during the current pandemic emergency.


SLEEP ◽  
2010 ◽  
Vol 33 (12) ◽  
pp. 1605-1614 ◽  
Author(s):  
Ingeborg M. van Geijlswijk ◽  
Hubert P. L. M. Korzilius ◽  
Marcel G. Smits

2009 ◽  
Vol 10 (5) ◽  
pp. 549-555 ◽  
Author(s):  
Shadab A. Rahman ◽  
Leonid Kayumov ◽  
Ekaterina A. Tchmoutina ◽  
Colin M. Shapiro

SLEEP ◽  
2003 ◽  
Vol 26 (6) ◽  
pp. 657-661 ◽  
Author(s):  
Tsuyoshi Watanabe ◽  
Naofumi Kajimura ◽  
Masaaki Kato ◽  
Masanori Sekimoto ◽  
Toru Nakajima ◽  
...  

2015 ◽  
Vol 27 (3) ◽  
pp. 341-348 ◽  
Author(s):  
Md Dilshad Manzar ◽  
Wassilatul Zannat ◽  
Manpreet Kaur ◽  
M. Ejaz Hussain

Abstract Purpose: Assessment of the influence of gender and increasing years at university on sleep health of students. Methods: Four hundred and eighteen students from different streams across years of undergraduate to postgraduate courses participated. Descriptive statistics, test of differences, and correlation were used. The sleep health data comprised of subjective evaluation using a questionnaire and personal interviews. Results: Overall, 43.1% had sleep problems, females were more affected (51.67% vs. 48.33% in males) but were early bed goers. The prevalence of circadian rhythm sleep disorder (11.6% vs. 9.5%) and delayed sleep phase syndrome (4.5% vs. 2.7%) was slightly higher in males. The daytime dysfunction and hypnotic use significantly differed in students of the same class among gender. Bedtime got significantly delayed along years [H(2)=29.769, p<0.001], and hypnotic use [H(2)=8.807, p=0.012] differed significantly among them. The moderate-very strong correlational statistics among sleep health elements was very similar across gender and years of university education. However, more pronounced influence of years of university education than gender was seen in the significant differences for correlated correlation among sleep health parameters. Conclusion: Gender and years of university education influence sleep among university students both separately and concomitantly.


2015 ◽  
Vol 16 (9) ◽  
pp. 1084-1090 ◽  
Author(s):  
Børge Sivertsen ◽  
Nick Glozier ◽  
Allison G. Harvey ◽  
Mari Hysing

SLEEP ◽  
1981 ◽  
Vol 4 (1) ◽  
pp. 1-21 ◽  
Author(s):  
Charles A. Czeisler ◽  
Gary S. Richardson ◽  
Richard M. Coleman ◽  
Janet C. Zimmerman ◽  
Martin C. Moore-Ede ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document