B3728 - Assessing individual susceptibility to changes in sleep during the COVID-19 lockdown - 12/03/2021

B number: 
Principal applicant name: 
Rebecca Richmond | University of Bristol (United Kingdom)
Miss Bryony Hayes
Title of project: 
Assessing individual susceptibility to changes in sleep during the COVID-19 lockdown
Proposal summary: 

Stay-at-home orders during the COVID-19 pandemic have had a major impact on people's usual routines, including their sleeping patterns. Recent studies have demonstrated that relaxed work schedules and more time spent at home have meant that the timing of sleep has become more regular, with less "social jetlag" (the discrepancy in sleep timing between working and non-working days) (1). Nonetheless, there are also been reports in a decline in sleep quality based on self-reported data (2). The factors which influence individual's susceptibility to altered sleep patterns during the pandemic have not been fully investigated. Within the Avon Longitudinal Study of Parents and Children (ALSPAC), parents and young people (YP) were asked to report whether their amount of sleep had decreased, stayed the same, or increased during lockdown. They were also asked to record any difficulty sleeping.

(1) Christine Blume, Marlene H. Schmidt, Christian Cajochen. Effects of the COVID-19 lockdown on human sleep and rest-activity rhythms. Current Biology, 2020; DOI: 10.1016/j.cub.2020.06.021
(2) Kenneth P. Wright, Sabrina K. Linton, Dana Withrow, Leandro Casiraghi, Shannon M. Lanza, Horacio de la Iglesia, Celine Vetter, Christopher M. Depner. Sleep in University Students Prior to and During COVID-19 Stay-at-Home Orders. Current Biology, 2020; DOI: 10.1016/j.cub.2020.06.022

Impact of research: 
Identifying lifestyle or genetic predictors of changes in sleep during lockdown, could be useful for identifying or risk-stratifying those individuals most susceptible to sleep disruption.
Date proposal received: 
Tuesday, 9 March, 2021
Date proposal approved: 
Friday, 12 March, 2021
Genetic epidemiology (including association studies and mendelian randomisation), Sleep traits such as insomnia and sleep duration, GWAS, Statistical methods, Genetic epidemiology, Genetics, Genomics, Genome wide association study, Methods - e.g. cross cohort analysis, data mining, mendelian randomisation, etc., Sleep, Statistical methods