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Nature and Science of Sleep Volume 10, 2018 - Issue
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Original Research

Actigraphy-based sleep estimation in adolescents and adults: a comparison with polysomnography using two scoring algorithms

Mirja Quante1 Department of Neonatology, University of Tuebingen, Tuebingen, Germany;2 Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women’s Hospital, Boston, MA, USA;3 Harvard Medical School, Boston, MA, USACorrespondence[email protected]
,
Emily R Kaplan2 Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women’s Hospital, Boston, MA, USA
,
Michael Cailler2 Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women’s Hospital, Boston, MA, USA
,
Michael Rueschman2 Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women’s Hospital, Boston, MA, USA
,
Rui Wang2 Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women’s Hospital, Boston, MA, USA;3 Harvard Medical School, Boston, MA, USA;4 Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA;5 Department of Population Medicine, Harvard Medical School and The Harvard Pilgrim Health Care Institute, Boston, MA, USA
,
Jia Weng2 Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women’s Hospital, Boston, MA, USA
,
Elsie M Taveras3 Harvard Medical School, Boston, MA, USA;5 Department of Population Medicine, Harvard Medical School and The Harvard Pilgrim Health Care Institute, Boston, MA, USA;6 Division of General Academic Pediatrics, Department of Pediatrics, MassGeneral Hospital for Children, Boston, MA, USA
&
Susan Redline2 Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women’s Hospital, Boston, MA, USA;3 Harvard Medical School, Boston, MA, USA;7 Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
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Pages 13-20 | Published online: 18 Jan 2018

Figures & data

Table 1 Descriptive characteristics of the study population

Table 2 mean ± SD/median (interquartile range) values for PSG and actigraphy of total sleep time, wake after sleep onset, and sleep efficiency

Table 3 Mean differences and intraclass correlation coefficients between PSG and actigraphy

Figure 1 Bland–Altman plots of GT3X+ and AWS in 22 adults for (A) total sleep time: GT3X+: CK versus AWS, (B) WASO: GT3X+: CK versus AWS, (C) total sleep time: GT3X+: Sadeh versus AWS, and (D) WASO: GT3X+: Sadeh versus AWS. The dotted line indicates the mean of the differences or bias, and the dashed lines indicate the lower and upper 95% limits of agreement.

Abbreviations: AWS, Actiwatch Spectrum; CK, Cole–Kripke; WASO, wake after sleep onset.
Figure 1 Bland–Altman plots of GT3X+ and AWS in 22 adults for (A) total sleep time: GT3X+: CK versus AWS, (B) WASO: GT3X+: CK versus AWS, (C) total sleep time: GT3X+: Sadeh versus AWS, and (D) WASO: GT3X+: Sadeh versus AWS. The dotted line indicates the mean of the differences or bias, and the dashed lines indicate the lower and upper 95% limits of agreement.

Table 4 Sensitivity, specificity, and accuracy of epoch-by-epoch comparisons with PSG

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