Abstract
Objective
In field settings, wrist- and waist-worn accelerometers are typically used to assess
sleep characteristics and movement behaviors, respectively. There has been a shift
in movement behavior studies to wear accelerometers 24 h/d. Sleep characteristics
could be assessed in these studies if sleep algorithms were available for waist-worn
accelerometers. The objective of this study was to develop and provide validity data
for an algorithm/sleep likelihood score cut-off to estimate sleep efficiency in children
using the waist-worn Actical accelerometer.
Design
Cross-sectional study.
Participants
Fifty healthy children aged 10-13 years.
Measurements
Children wore an Actical on their waist and an Actiwatch 2 on their nondominant wrist
for 8 nights at home in their normal sleep environment. Participants were randomized
into algorithm/sleep likelihood score “development” and “test” groups (n = 25 per group). Within the development group, we assessed sleep efficiency with the
Actical using the same algorithm that the Actiwatch 2 uses and selected the sleep
likelihood score cut-off value that was the most accurate at predicting sleep efficiency
at the nightly level compared with the Actiwatch 2. We applied this algorithm and
cut-off value to the test group.
Results
Mean (SD) sleep efficiency estimates for the test group from the Actical and Actiwatch
2 were 89.0% (3.9%) and 88.7% (3.1%), respectively. Bland-Altman plots and absolute
difference scores revealed considerable agreement between devices for both nightly
and weekly estimates of sleep efficiency.
Conclusion
A waist-worn Actical accelerometer can accurately predict sleep efficiency in field
settings among healthy 10- to 13-year-olds.
Keywords
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Article info
Publication history
Published online: September 30, 2017
Accepted:
September 13,
2017
Received in revised form:
August 2,
2017
Received:
May 29,
2017
Identification
Copyright
© 2017 National Sleep Foundation. Published by Elsevier Inc. All rights reserved.
