Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/33597
Title: Pilot feasibility testing of biomathematical model recommendations for personalising sleep timing in shift workers.
Austin Authors: Varma, Prerna;Postnova, Svetlana;Phillips, Andrew J K;Knock, Stuart;Howard, Mark E ;Rajaratnam, Shantha M W;Sletten, Tracey L
Affiliation: Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University, Clayton, Australia.
School of Physics, The University of Sydney, Camperdown, Australia.
School of Physics, The University of Sydney, Camperdown, Australia.
Institute for Breathing and Sleep
Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA.;Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA.
Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, Australia.
Issue Date: 26-Aug-2023
Date: 2023
Publication information: Journal of Sleep Research 2023-08-26
Abstract: Sleep disturbances and circadian disruption play a central role in adverse health, safety, and performance outcomes in shift workers. While biomathematical models of sleep and alertness can be used to personalise interventions for shift workers, their practical implementation of is undertested. This study tested the feasibility of implementing two biomathematical models-the Phillips-Robinson Model and the Model for Arousal Dynamics-in 28 shift-working nurses, 14 in each group. The study examined the overlap and adherence between model recommendations and sleep behaviours, and changes in sleep following the implementation of recommendations. For both groups combined, the mean (SD) percentage overlap between when a model recommended an individual to sleep and when sleep was obtained was 73.62% (10.24%). Adherence between model recommendations and sleep onset and offset times was significantly higher with the Model of Arousal Dynamics compared to the Phillips-Robinson Model. For the Phillips-Robinson model, 27% of sleep onset and 35% of sleep offset times were within ± 30 min of model recommendations. For the Model of Arousal Dynamics, 49% of sleep onset, and 35% of sleep offset times were within ± 30 min of model recommendations. Compared to pre-study, significant improvements were observed post-study for sleep disturbance (Phillips-Robinson Model), and insomnia severity and sleep-related impairments (Model of Arousal Dynamics). Participants reported that using a digital, automated format for the delivery of sleep recommendations would enable greater uptake. These findings provide a positive proof-of-concept for using biomathematical models to recommend sleep in operational contexts.
URI: https://ahro.austin.org.au/austinjspui/handle/1/33597
DOI: 10.1111/jsr.14026
ORCID: 0000-0001-5408-1625
Journal: Journal of Sleep Research
Start page: e14026
PubMed URL: 37632717
ISSN: 1365-2869
Type: Journal Article
Subjects: alertness
circadian rhythms
healthcare
shift-work disorder
sleep disorder
Appears in Collections:Journal articles

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