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      COVID-19-mandated social restrictions unveil the impact of social time pressure on sleep and body clock

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          Abstract

          In humans, sleep regulation is tightly linked to social times that assign local time to events, such as school, work, or meals. The impact of these social times, collectively—social time pressure, on sleep has been studied epidemiologically via quantification of the discrepancy between sleep times on workdays and those on work-free days. This discrepancy is known as the social jetlag (SJL). COVID-19-mandated social restrictions (SR) constituted a global intervention by affecting social times worldwide. We launched a Global Chrono Corona Survey (GCCS) that queried sleep–wake times before and during SR ( preSR and inSR). 11,431 adults from 40 countries responded between April 4 and May 6, 2020. The final sample consisted of 7517 respondents (68.2% females), who had been 32.7 ± 9.1 (mean ± sd) days under SR. SR led to robust changes: mid-sleep time on workdays and free days was delayed by 50 and 22 min, respectively; sleep duration increased on workdays by 26 min but shortened by 9 min on free days; SJL decreased by ~ 30 min. On workdays inSR, sleep–wake times in most people approached those of their preSR free days. Changes in sleep duration and SJL correlated with inSR-use of alarm clocks and were larger in young adults. The data indicate a massive sleep deficit under pre-pandemic social time pressure, provide insights to the actual sleep need of different age-groups and suggest that tolerable SJL is about 20 min. Relaxed social time pressure promotes more sleep, smaller SJL and reduced use of alarm clocks.

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          Most cited references48

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          A self-assessment questionnaire to determine morningness-eveningness in human circadian rhythms.

          An English language self-assessment Morningness-Eveningness questionnaire is presented and evaluated against individual differences in the circadian vatiation of oral temperature. 48 subjects falling into Morning, Evening and Intermediate type categories regularly took their temperature. Circadian peak time were identified from the smoothed temperature curves of each subject. Results showed that Morning types and a significantly earlier peak time than Evening types and tended to have a higher daytime temperature and lower post peak temperature. The Intermediate type had temperatures between those of the other groups. Although no significant differences in sleep lengths were found between the three types, Morning types retired and arose significantly earlier than Evening types. Whilst these time significatly correlated with peak time, the questionnaire showed a higher peak time correlation. Although sleep habits are an important déterminant of peak time there are other contibutory factors, and these appear to be partly covered by the questionnaire. Although the questionnaire appears to be valid, further evaluation using a wider subject population is required.
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            Social jetlag: misalignment of biological and social time.

            Humans show large differences in the preferred timing of their sleep and activity. This so-called "chronotype" is largely regulated by the circadian clock. Both genetic variations in clock genes and environmental influences contribute to the distribution of chronotypes in a given population, ranging from extreme early types to extreme late types with the majority falling between these extremes. Social (e.g., school and work) schedules interfere considerably with individual sleep preferences in the majority of the population. Late chronotypes show the largest differences in sleep timing between work and free days leading to a considerable sleep debt on work days, for which they compensate on free days. The discrepancy between work and free days, between social and biological time, can be described as 'social jetlag.' Here, we explore how sleep quality and psychological wellbeing are associated with individual chronotype and/or social jetlag. A total of 501 volunteers filled out the Munich ChronoType Questionnaire (MCTQ) as well as additional questionnaires on: (i) sleep quality (SF-A), (ii) current psychological wellbeing (Basler Befindlichkeitsbogen), (iii) retrospective psychological wellbeing over the past week (POMS), and (iv) consumption of stimulants (e.g., caffeine, nicotine, and alcohol). Associations of chronotype, wellbeing, and stimulant consumption are strongest in teenagers and young adults up to age 25 yrs. The most striking correlation exists between chronotype and smoking, which is significantly higher in late chronotypes of all ages (except for those in retirement). We show these correlations are most probably a consequence of social jetlag, i.e., the discrepancies between social and biological timing rather than a simple association to different chronotypes. Our results strongly suggest that work (and school) schedules should be adapted to chronotype whenever possible.
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              Life between Clocks: Daily Temporal Patterns of Human Chronotypes

              Human behavior shows large interindividual variation in temporal organization. Extreme "larks" wake up when extreme "owls" fall asleep. These chronotypes are attributed to differences in the circadian clock, and in animals, the genetic basis of similar phenotypic differences is well established. To better understand the genetic basis of temporal organization in humans, the authors developed a questionnaire to document individual sleep times, self-reported light exposure, and self-assessed chronotype, considering work and free days separately. This report summarizes the results of 500 questionnaires completed in a pilot study individual sleep times show large differences between work and free days, except for extreme early types. During the workweek, late chronotypes accumulate considerable sleep debt, for which they compensate on free days by lengthening their sleep by several hours. For all chronotypes, the amount of time spent outdoors in broad daylight significantly affects the timing of sleep: Increased self-reported light exposure advances sleep. The timing of self-selected sleep is multifactorial, including genetic disposition, sleep debt accumulated on workdays, and light exposure. Thus, accurate assessment of genetic chronotypes has to incorporate all of these parameters. The dependence of human chronotype on light, that is, on the amplitude of the light:dark signal, follows the known characteristics of circadian systems in all other experimental organisms. Our results predict that the timing of sleep has changed during industrialization and that a majority of humans are sleep deprived during the workweek. The implications are far ranging concerning learning, memory, vigilance, performance, and quality of life.
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                Author and article information

                Contributors
                maria.korman@ariel.ac.il
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                17 December 2020
                17 December 2020
                2020
                : 10
                : 22225
                Affiliations
                [1 ]GRID grid.411434.7, ISNI 0000 0000 9824 6981, Department of Occupational Therapy, Faculty of Health Sciences, , Ariel University, ; Ariel, Israel
                [2 ]Unaffiliated, Rehovot, Israel
                [3 ]GRID grid.9983.b, ISNI 0000 0001 2181 4263, ISAMB, Faculdade de Medicina, , Universidade de Lisboa, ; Lisbon, Portugal
                [4 ]GRID grid.9983.b, ISNI 0000 0001 2181 4263, Faculdade de Medicina de Lisboa, Instituto de Medicina Molecular João Lobo Antunes, , Universidade de Lisboa, ; Lisbon, Portugal
                [5 ]CENC - Centro de Medicina de Sono, Lisbon, Portugal
                [6 ]GRID grid.411763.6, ISNI 0000 0001 0508 5056, Liberal Arts, , Meiji Pharmaceutical University, ; Tokyo, Japan
                [7 ]GRID grid.419280.6, ISNI 0000 0004 1763 8916, Department of Sleep-Wake Disorders, National Institute of Mental Health, , National Center of Neurology and Psychiatry, ; Tokyo, Japan
                [8 ]Department of Biology, Medical University, Tyumen, Russia
                [9 ]GRID grid.4886.2, ISNI 0000 0001 2192 9124, Tyumen Cardiology Research Center, Tomsk National Research Medical Center, , Russian Academy of Science, ; Tomsk, Russia
                [10 ]GRID grid.8195.5, ISNI 0000 0001 2109 4999, Department of Zoology, , University of Delhi, ; Delhi, India
                [11 ]GRID grid.5252.0, ISNI 0000 0004 1936 973X, Institute and Polyclinic for Occupational-, Social- and Environmental Medicine, , LMU Munich, ; Munich, Germany
                [12 ]Chronsulting UG, Dietersburg, Germany
                Author information
                http://orcid.org/0000-0003-1895-0189
                http://orcid.org/0000-0001-8964-5056
                http://orcid.org/0000-0001-6585-3993
                http://orcid.org/0000-0002-0884-1555
                http://orcid.org/0000-0003-2028-1033
                http://orcid.org/0000-0002-0523-8689
                http://orcid.org/0000-0003-2939-0332
                Article
                79299
                10.1038/s41598-020-79299-7
                7746700
                33335241
                b649cebb-c4a3-4d5a-b5f1-f39199cc711e
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 28 September 2020
                : 4 December 2020
                Categories
                Article
                Custom metadata
                © The Author(s) 2020

                Uncategorized
                circadian rhythms and sleep,circadian regulation,epidemiology
                Uncategorized
                circadian rhythms and sleep, circadian regulation, epidemiology

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