Light-based methods for predicting circadian phase in delayed sleep-wake phase disorder
AuthorMurray, JM; Magee, M; Sletten, TL; Gordon, C; Lovato, N; Ambani, K; Bartlett, DJ; Kennaway, DJ; Lack, LC; Grunstein, RR; ...
Source TitleScientific Reports
University of Melbourne Author/sMagee, Michelle
AffiliationMelbourne School of Health Sciences
Document TypeJournal Article
CitationsMurray, J. M., Magee, M., Sletten, T. L., Gordon, C., Lovato, N., Ambani, K., Bartlett, D. J., Kennaway, D. J., Lack, L. C., Grunstein, R. R., Lockley, S. W., Rajaratnam, S. M. W. & Phillips, A. J. K. (2021). Light-based methods for predicting circadian phase in delayed sleep-wake phase disorder. SCIENTIFIC REPORTS, 11 (1), https://doi.org/10.1038/s41598-021-89924-8.
Access StatusOpen Access
Open Access at PMChttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC8149449
Methods for predicting circadian phase have been developed for healthy individuals. It is unknown whether these methods generalize to clinical populations, such as delayed sleep-wake phase disorder (DSWPD), where circadian timing is associated with functional outcomes. This study evaluated two methods for predicting dim light melatonin onset (DLMO) in 154 DSWPD patients using ~ 7 days of sleep-wake and light data: a dynamic model and a statistical model. The dynamic model has been validated in healthy individuals under both laboratory and field conditions. The statistical model was developed for this dataset and used a multiple linear regression of light exposure during phase delay/advance portions of the phase response curve, as well as sleep timing and demographic variables. Both models performed comparably well in predicting DLMO. The dynamic model predicted DLMO with root mean square error of 68 min, with predictions accurate to within ± 1 h in 58% of participants and ± 2 h in 95%. The statistical model predicted DLMO with root mean square error of 57 min, with predictions accurate to within ± 1 h in 75% of participants and ± 2 h in 96%. We conclude that circadian phase prediction from light data is a viable technique for improving screening, diagnosis, and treatment of DSWPD.
- Click on "Export Reference in RIS Format" and choose "open with... Endnote".
- Click on "Export Reference in RIS Format". Login to Refworks, go to References => Import References