The convergent validity of Actiwatch 2 and ActiGraph Link accelerometers in measuring total sleeping period, wake after sleep onset, and sleep efficiency in free-living condition
The convergent validity of Actiwatch 2 and ActiGraph Link accelerometers in measuring total sleeping period, wake after sleep onset, and sleep efficiency in free-living condition
Purpose: Physical activity (PA) and sleep are important to health; thus, it is important for researchers to have valid tools to measure them. Accelerometers have been proven valid for measuring PA and sleep, but only one device does this simultaneously: the ActiGraph Link (ActiGraph, LLC); however, the sleep-monitoring function has not been validated. This study aimed to evaluate the predictive power of ActiGraph Link sleep parameters against a validated accelerometer (Actiwatch 2, Phillips Respironics Mini-Mitter). Methods: A total of 49 Hong Kong adults aged 18–64 provided valid data on both accelerometers on their non-dominant wrist for seven consecutive days. Epochs from both accelerometers were classified as either sleep or awake using seven established algorithms (Cole-Kripke, Sadeh, Sazonov, high sensitivity threshold, medium sensitivity threshold, low sensitivity threshold, and neural network model), and these data were transformed to total sleeping period, wake after sleep onset, and sleep efficiency. Results: The non-zero count data for both accelerometers (331,103 observations) were strongly correlated with a Spearman correlation of 0.83 (p < 0.001). The total sleeping period was highly correlated (Spearman correlation ranged from 0.74 to 0.90) regardless of the algorithms used. All algorithms yielded insignificant difference in total sleep time measured by the two accelerometers (p > 0.05) with a negligible effect size of d < 0.2. The agreement of sleep/wake status was high for all algorithms, with accuracy ranging from 93.05 % (Sadeh’s algorithm) to 96.13 % (Cole-Kripke’s algorithm). Conclusions: Results showed that the sleep function of the ActiGraph Link performs similar to a validated accelerometer (Actiwatch 2) and provides an opportunity to measure both sleep and PA simultaneously.
Accelerometry, ActiGraph, Motor activity, Sleeping duration, Validation
209-215
Lee, Paul H.
02620eab-ae7f-4a1c-bad1-8a50e7e48951
Suen, Lorna K.P.
3927a819-69fb-4681-8d9b-0aad1be7faff
1 March 2017
Lee, Paul H.
02620eab-ae7f-4a1c-bad1-8a50e7e48951
Suen, Lorna K.P.
3927a819-69fb-4681-8d9b-0aad1be7faff
Lee, Paul H. and Suen, Lorna K.P.
(2017)
The convergent validity of Actiwatch 2 and ActiGraph Link accelerometers in measuring total sleeping period, wake after sleep onset, and sleep efficiency in free-living condition.
Sleep and Breathing, 21 (1), .
(doi:10.1007/s11325-016-1406-0).
Abstract
Purpose: Physical activity (PA) and sleep are important to health; thus, it is important for researchers to have valid tools to measure them. Accelerometers have been proven valid for measuring PA and sleep, but only one device does this simultaneously: the ActiGraph Link (ActiGraph, LLC); however, the sleep-monitoring function has not been validated. This study aimed to evaluate the predictive power of ActiGraph Link sleep parameters against a validated accelerometer (Actiwatch 2, Phillips Respironics Mini-Mitter). Methods: A total of 49 Hong Kong adults aged 18–64 provided valid data on both accelerometers on their non-dominant wrist for seven consecutive days. Epochs from both accelerometers were classified as either sleep or awake using seven established algorithms (Cole-Kripke, Sadeh, Sazonov, high sensitivity threshold, medium sensitivity threshold, low sensitivity threshold, and neural network model), and these data were transformed to total sleeping period, wake after sleep onset, and sleep efficiency. Results: The non-zero count data for both accelerometers (331,103 observations) were strongly correlated with a Spearman correlation of 0.83 (p < 0.001). The total sleeping period was highly correlated (Spearman correlation ranged from 0.74 to 0.90) regardless of the algorithms used. All algorithms yielded insignificant difference in total sleep time measured by the two accelerometers (p > 0.05) with a negligible effect size of d < 0.2. The agreement of sleep/wake status was high for all algorithms, with accuracy ranging from 93.05 % (Sadeh’s algorithm) to 96.13 % (Cole-Kripke’s algorithm). Conclusions: Results showed that the sleep function of the ActiGraph Link performs similar to a validated accelerometer (Actiwatch 2) and provides an opportunity to measure both sleep and PA simultaneously.
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More information
Accepted/In Press date: 5 September 2016
Published date: 1 March 2017
Additional Information:
Funding Information:
The Food and Health Bureau of the Hong Kong Special Administrative Region, China, provided financial support in the form of Health and Medical Research Fund (Ref 12131741). The sponsor had no role in the design or conduct of this research.
Publisher Copyright:
© 2016, Springer-Verlag Berlin Heidelberg.
Keywords:
Accelerometry, ActiGraph, Motor activity, Sleeping duration, Validation
Identifiers
Local EPrints ID: 475156
URI: http://eprints.soton.ac.uk/id/eprint/475156
ISSN: 1520-9512
PURE UUID: f586b803-c7d7-4653-adb7-5d5cf6cf6815
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Date deposited: 10 Mar 2023 17:46
Last modified: 18 Mar 2024 04:09
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Contributors
Author:
Paul H. Lee
Author:
Lorna K.P. Suen
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