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Measuring Sleep: Accuracy, Sensitivity, and Specificity of Wrist Actigraphy Compared to Polysomnography
SLEEP · 2013 · Vol. 36(11) · pp. 1747–1755
Miguel Marino(Oregon Health & Science University)Yi Li(University of Michigan–Ann Arbor)Michael Rueschman(Brigham and Women's Hospital)John W. Winkelman(Massachusetts General Hospital)J. M. Ellenbogen(Johns Hopkins University)Jo M. Solet(Harvard University)Hilary Dulin(Brigham and Women's Hospital)Lisa Berkman(Harvard University)Orfeu M. Buxton✉(Pennsylvania State University)
Abstract
This validation quantifies strengths and weaknesses of actigraphy as a tool measuring sleep in clinical and population studies. Overall, the participant-specific accuracy is relatively high, and for most participants, above 80%. We validate this finding across multiple nights and a variety of adults across much of the young to midlife years, in both men and women, in those with and without insomnia, and in 77 participants. We conclude that actigraphy is overall a useful and valid means for estimating total sleep time and wakefulness after sleep onset in field and workplace studies, with some limitations in specificity.
Sleep and related disordersSleep and Wakefulness ResearchSleep and Work-Related FatigueActigraphyPolysomnographySleep onsetWakefulnessInsomniaMedicineSleep (system call)PopulationPhysical therapyAnesthesia
MeSH terms
AdultAge FactorsFemaleHumansMaleMiddle AgedSensitivity and SpecificitySleepWakefulnessWristReproducibility of ResultsPolysomnographyActigraphy
Funding
- Alfred P. Sloan Foundation
- Pfizer
- GlaxoSmithKline
- Wake Forest University
- Center for Health Design
- Sunovion
- Administration for Children and Families
- Academy of Architecture for Health
- National Institute of Child Health and Human Development
Citations
1,016
FWCI
24.46
field-weighted impact
References
31
Percentile
100%
vs. same field & year
Citations per year
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