2022
DOI: 10.3390/clockssleep4040050
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Differences in Sleep Offset Timing between Weekdays and Weekends in 79,161 Adult Participants in the UK Biobank

Abstract: Variability in the timing of daily sleep is increasingly recognized as an important factor in sleep and general physical health. One potential driver of such daily variations in sleep timing is different work and social obligations during the “working week” and weekends. To investigate the nature of weekday/weekend differences in the timing of sleep offset, we examined actigraphy records of 79,161 adult participants in the UK Biobank who wore an actiwatch for 1 week. The time of sleep offset was found to be on… Show more

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Cited by 6 publications
(2 citation statements)
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“…Nevertheless, state-specific effects and within-person variation (eg, weekdays vs weekends) that we could not control for might still be present (which limits the comparability with the other measurements over multiple days). 19,36 Although the timeframe of both self-report (previous month) and actigraphy measurement (1 week) was different, they both represent average values and are likely to vary less than a comparison with a 1 night measurement. Although the self-report data examine the perceived average over 1 month, it is assessed retrospective by one single questionnaire which might introduce recall bias or be influenced by recent experiences.…”
Section: Strengths and Limitationsmentioning
confidence: 99%
“…Nevertheless, state-specific effects and within-person variation (eg, weekdays vs weekends) that we could not control for might still be present (which limits the comparability with the other measurements over multiple days). 19,36 Although the timeframe of both self-report (previous month) and actigraphy measurement (1 week) was different, they both represent average values and are likely to vary less than a comparison with a 1 night measurement. Although the self-report data examine the perceived average over 1 month, it is assessed retrospective by one single questionnaire which might introduce recall bias or be influenced by recent experiences.…”
Section: Strengths and Limitationsmentioning
confidence: 99%
“…), recordings of skin temperature at different body areas may provide additional information relevant for predicting sleep and wakefulness. Furthermore, utilizing the information embedded in the diurnal cyclic nature of sleep 16 and seasonal changes in sleep behavior related to daylight variations 17 may improve the prediction of sleep and wakefulness.…”
Section: Introductionmentioning
confidence: 99%