Risk factors of excessive daytime sleepiness in a prospective population-based cohort
- PMID: 32412149
- DOI: 10.1111/jsr.13069
Risk factors of excessive daytime sleepiness in a prospective population-based cohort
Abstract
Although excessive daytime sleepiness is commonly evaluated in clinical and research settings using the Epworth Sleepiness Scale, few studies have assessed the factors associated with its incidence in the general population. We prospectively investigated the predictors of incident and persistent excessive daytime sleepiness in 2,751 subjects (46.1% men, mean age 56.0 ± 9.8 years) from the CoLaus-PsyCoLaus population-based cohort (Lausanne, Switzerland) over 5 years. Participants completed the Epworth Sleepiness Scale and the Pittsburgh Sleep Quality Index, and underwent a full clinical evaluation at baseline and 5 years afterwards. Ambulatory polysomnography was performed at baseline in a sub-sample of 1,404 subjects. Among the 2,438 subjects without excessive daytime sleepiness (Epworth Sleepiness Scale ≤ 10) at baseline, the 5-year incidence of excessive daytime sleepiness was 5.1% (n = 124). Multivariate logistic regression revealed that male sex, depressive symptoms, reported poor sleep quality and moderate to severe obstructive sleep apnea were independent predictors of incident excessive daytime sleepiness, while older age, moderate coffee consumption, periodic leg movement during sleep and hypertension were independent protective factors. Stratified analysis according to sex and age showed some distinctive associations. Among the 313 patients with excessive daytime sleepiness at baseline, 137 (43.8%) had persistent excessive daytime sleepiness 5 years later. Our findings provide new insights into the predictors of incident excessive daytime sleepiness, but interventional studies are needed to understand the impact of treating these risk factors on the incidence of excessive daytime sleepiness.
Keywords: determinants; drowsiness; epidemiology; hypoxic load; natural history; obstructive sleep apnea.
© 2020 European Sleep Research Society.
References
REFERENCES
-
- Alberti, K. G., Eckel, R. H., Grundy, S. M., Zimmet, P. Z., Cleeman, J. I., Donato, K. A.…International Association for the Study of Obesity (2009). Harmonizing the metabolic syndrome: A joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation, 120(16), 1640-1645. https://doi.org/10.1161/CIRCULATIONAHA.109.192644
-
- Allen, R. P., Mignot, E., Ripley, B., Nishino, S., & Earley, C. J. (2002). Increased CSF hypocretin-1 (orexin-A) in restless legs syndrome. Neurology, 59(4), 639-641. https://doi.org/10.1212/wnl.59.4.639
-
- Azarbarzin, A., Sands, S. A., Stone, K. L., Taranto-Montemurro, L., Messineo, L., Terrill, P. I., … Wellman, A. (2018). The hypoxic burden of sleep apnoea predicts cardiovascular disease-related mortality: The Osteoporotic Fractures in Men Study and the Sleep Heart Health Study. European Heart Journal, 40(14), 1149-1157. https://doi.org/10.1093/eurheartj/ehy624
-
- Barnett, A. G., van der Pols, J. C., & Dobson, A. J. (2005). Regression to the mean: What it is and how to deal with it. International Journal of Epidemiology, 34(1), 215-220. https://doi.org/10.1093/ije/dyh299
-
- Berry, R. B., Budhiraja, R., Gottlieb, D. J., Gozal, D., Iber, C., & Kapur, V. K. … American Academy of Sleep Medicine (2012). Rules for scoring respiratory events in sleep: update of the 2007 AASM Manual for the Scoring of Sleep and Associated Events. Deliberations of the Sleep Apnea Definitions Task Force of the American Academy of Sleep Medicine. Journal of Clinical Sleep Medicine, 8(5), 597-619. https://doi.org/10.5664/jcsm.2172
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources