Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/30629
Title: Sleep and Alcohol Use Patterns During Federal Holidays and Daylight Saving Time Transitions in the United States.
Austin Authors: Heacock, Rachel M;Capodilupo, Emily R;Czeisler, Mark É;Weaver, Matthew D;Czeisler, Charles A;Howard, Mark E ;Rajaratnam, Shantha M W
Affiliation: Department of Psychiatry, Brigham and Women's Hospital, Boston, MA, United States..
Institute for Breathing and Sleep
Department of Medicine, University of Melbourne, Melbourne, VIC, Australia..
Whoop Inc., Boston, MA, United States..
Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University, Melbourne, VIC, Australia..
Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA, United States..
Francis Weld Peabody Society, Harvard Medical School, Boston, MA, United States..
Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States..
Issue Date: 11-Jul-2022
Date: 2022
Publication information: Frontiers in physiology 2022; 13: 884154
Abstract: We conducted a retrospective observational study using remote wearable and mobile application data to evaluate whether US public holidays or Daylight Saving Time transitions were associated with significant changes in sleep behaviors, including sleep duration, sleep onset and offset, and the consistency of sleep timing, as well as changes in the point prevalence of alcohol use. These metrics were analyzed using objective, high resolution sleep-wake data (10,350,760 sleep episodes) and 5,777,008 survey responses of 24,250 US subscribers (74.5% male; mean age of 37.6 ± 9.8 years) to the wrist-worn biometric device platform, WHOOP (Boston, Massachusetts, United States), who were active users during 1 May 2020, through 1 May 2021. Compared to baseline, statistically significant differences in sleep and alcohol measures were found on most DST transitions, US public holidays, and their eves. For example, New Year's Eve corresponded with a sleep consistency decrease of 13.8 ± 0.3%, a sleep onset delay of 88.9 ± 3.2 min (00:01 vs. 22:33 baseline) later, a sleep offset delay of 78.1 ± 3.1 min (07:56 vs. 06:39), and an increase in the prevalence of alcohol consumption, with more than twice as many participants having reported alcohol consumption [+138.0% ± 6.7 (74.2% vs. 31.2%)] compared to baseline. In this analysis of a non-random sample of mostly male subscribers conducted during the COVID-19 pandemic, the majority of US public holidays and holiday eves were associated with sample-level increases in sleep duration, decreases in sleep consistency, later sleep onset and offset, and increases in the prevalence of alcohol consumption. Future work would be warranted to explore the generalizability of these findings and their public health implications, including in more representative samples and over longer time intervals.
URI: https://ahro.austin.org.au/austinjspui/handle/1/30629
DOI: 10.3389/fphys.2022.884154
ORCID: 0000-0003-3100-7347
0000-0001-7772-1496
0000-0001-7527-8558
Journal: Frontiers in physiology
PubMed URL: 35899022
PubMed URL: https://pubmed.ncbi.nlm.nih.gov/35899022/
ISSN: 1664-042X
Type: Journal Article
Subjects: daylight saving time
epidemiology
holidays
sleep consistency
sleep duration
sleep timing
substance use
wearable devices
Appears in Collections:Journal articles

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