Exploring Accelerometer Versus Self-Report Sleep Assessment in Youth With Concussion
This study examines accelerometer-based and self-report assessment of sleep disturbance from a larger prospective cohort of youth 5 to 18 years of age with postconcussive injury. Twenty-one participants with self-reported sleep disturbance were evaluated using accelerometers. Participants completed...
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2017-12-01
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Series: | Global Pediatric Health |
Online Access: | https://doi.org/10.1177/2333794X17745973 |
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doaj-7f2a5d3748ac4390b8a82d6c180785fb2020-11-25T03:44:06ZengSAGE PublishingGlobal Pediatric Health2333-794X2017-12-01410.1177/2333794X17745973Exploring Accelerometer Versus Self-Report Sleep Assessment in Youth With ConcussionIvona Berger BHSc0Joyce Obeid PhD1Brian W. Timmons PhD2Carol DeMatteo MSc, DipP & OT3University of Toronto, Toronto, Ontario, CanadaMcMaster University, Hamilton, Ontario, CanadaMcMaster University, Hamilton, Ontario, CanadaMcMaster University, Hamilton, Ontario, CanadaThis study examines accelerometer-based and self-report assessment of sleep disturbance from a larger prospective cohort of youth 5 to 18 years of age with postconcussive injury. Twenty-one participants with self-reported sleep disturbance were evaluated using accelerometers. Participants completed the Pittsburgh Sleep Quality Index (PSQI) every 48 hours and also measured sleep via accelerometry. Correlations were conducted matching PSQI scores to accelerometry assessment. PSQI scores were significantly correlated only with “average number of awakenings” ( r = −0.21; P = .049). Accelerometer-measured mean (standard deviation) sleep efficiency was 79.9% (5.20%), with normal sleep defined as >85%. The mean (standard deviation) PSQI global score was 10.5 (3.78) out of 21, where scores of >5 indicate subjective insomnia. Results suggest the PSQI and accelerometers may be measuring different attributes of sleep. Both may be needed as actual sleep is important but so is perception of good sleep. These findings call for further validity testing of objective sleep assessment measures and commonly used self-report tools.https://doi.org/10.1177/2333794X17745973 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ivona Berger BHSc Joyce Obeid PhD Brian W. Timmons PhD Carol DeMatteo MSc, DipP & OT |
spellingShingle |
Ivona Berger BHSc Joyce Obeid PhD Brian W. Timmons PhD Carol DeMatteo MSc, DipP & OT Exploring Accelerometer Versus Self-Report Sleep Assessment in Youth With Concussion Global Pediatric Health |
author_facet |
Ivona Berger BHSc Joyce Obeid PhD Brian W. Timmons PhD Carol DeMatteo MSc, DipP & OT |
author_sort |
Ivona Berger BHSc |
title |
Exploring Accelerometer Versus Self-Report Sleep Assessment in Youth With Concussion |
title_short |
Exploring Accelerometer Versus Self-Report Sleep Assessment in Youth With Concussion |
title_full |
Exploring Accelerometer Versus Self-Report Sleep Assessment in Youth With Concussion |
title_fullStr |
Exploring Accelerometer Versus Self-Report Sleep Assessment in Youth With Concussion |
title_full_unstemmed |
Exploring Accelerometer Versus Self-Report Sleep Assessment in Youth With Concussion |
title_sort |
exploring accelerometer versus self-report sleep assessment in youth with concussion |
publisher |
SAGE Publishing |
series |
Global Pediatric Health |
issn |
2333-794X |
publishDate |
2017-12-01 |
description |
This study examines accelerometer-based and self-report assessment of sleep disturbance from a larger prospective cohort of youth 5 to 18 years of age with postconcussive injury. Twenty-one participants with self-reported sleep disturbance were evaluated using accelerometers. Participants completed the Pittsburgh Sleep Quality Index (PSQI) every 48 hours and also measured sleep via accelerometry. Correlations were conducted matching PSQI scores to accelerometry assessment. PSQI scores were significantly correlated only with “average number of awakenings” ( r = −0.21; P = .049). Accelerometer-measured mean (standard deviation) sleep efficiency was 79.9% (5.20%), with normal sleep defined as >85%. The mean (standard deviation) PSQI global score was 10.5 (3.78) out of 21, where scores of >5 indicate subjective insomnia. Results suggest the PSQI and accelerometers may be measuring different attributes of sleep. Both may be needed as actual sleep is important but so is perception of good sleep. These findings call for further validity testing of objective sleep assessment measures and commonly used self-report tools. |
url |
https://doi.org/10.1177/2333794X17745973 |
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