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Comparison of Child and Adolescent Physical Activity Levels From Open-Source Versus ActiGraph Counts

Kimberly A. Clevenger, Kelly Mackintosh Orcid Logo, Melitta McNarry Orcid Logo, Karin A. Pfeiffer, Alexander H.K. Montoye, Jan Christian Brønd

Journal for the Measurement of Physical Behaviour, Volume: 5, Issue: 2, Pages: 120 - 128

Swansea University Authors: Kelly Mackintosh Orcid Logo, Melitta McNarry Orcid Logo

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DOI (Published version): 10.1123/jmpb.2021-0057

Abstract

ActiGraph counts are commonly used for characterizing physical activity intensity and energy expenditure and are among the most well-studied accelerometer metrics. Researchers have recently replicated the counts processing method using a mechanical setup, now allowing users to generate counts from r...

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Published in: Journal for the Measurement of Physical Behaviour
ISSN: 2575-6605 2575-6613
Published: Human Kinetics 2022
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URI: https://cronfa.swan.ac.uk/Record/cronfa63076
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spelling v2 63076 2023-04-04 Comparison of Child and Adolescent Physical Activity Levels From Open-Source Versus ActiGraph Counts bdb20e3f31bcccf95c7bc116070c4214 0000-0003-0355-6357 Kelly Mackintosh Kelly Mackintosh true false 062f5697ff59f004bc8c713955988398 0000-0003-0813-7477 Melitta McNarry Melitta McNarry true false 2023-04-04 STSC ActiGraph counts are commonly used for characterizing physical activity intensity and energy expenditure and are among the most well-studied accelerometer metrics. Researchers have recently replicated the counts processing method using a mechanical setup, now allowing users to generate counts from raw acceleration data. Purpose: The purpose of this study was to compare ActiGraph-generated counts to open-source counts and assess the impact on free-living physical activity levels derived from cut points, machine learning, and two-regression models. Methods: Children (n = 488, 13.0 ± 1.1 years of age) wore an ActiGraph wGT3X-BT on their right hip for 7 days during waking hours. ActiGraph counts and counts generated from raw acceleration data were compared at the epoch-level and as overall means. Seven methods were used to classify overall and epoch-level activity intensity. Outcomes were compared using weighted kappa, correlations, mean absolute deviation, and two one-sided equivalence testing. Results: All outcomes were statistically equivalent between ActiGraph and open-source counts; weighted kappa was ≥.971 and epoch-level correlations were ≥.992, indicating very high agreement. Bland–Altman plots indicated differences increased with activity intensity, but overall differences between ActiGraph and open-source counts were minimal (e.g., epoch-level mean absolute difference of 23.9 vector magnitude counts per minute). Regardless of classification model, average differences translated to 1.4–2.6 min/day for moderate- to vigorous-intensity physical activity. Conclusion: Open-source counts may be used to enhance comparability of future studies, streamline data analysis, and enable researchers to use existing developed models with alternative accelerometer brands. Future studies should verify the performance of open-source counts for other outcomes, like sleep. Journal Article Journal for the Measurement of Physical Behaviour 5 2 120 128 Human Kinetics 2575-6605 2575-6613 1 6 2022 2022-06-01 10.1123/jmpb.2021-0057 http://dx.doi.org/10.1123/jmpb.2021-0057 COLLEGE NANME Sport and Exercise Sciences COLLEGE CODE STSC Swansea University 2023-05-19T11:05:25.4558561 2023-04-04T09:28:53.3026488 Faculty of Science and Engineering School of Engineering and Applied Sciences - Sport and Exercise Sciences Kimberly A. Clevenger 1 Kelly Mackintosh 0000-0003-0355-6357 2 Melitta McNarry 0000-0003-0813-7477 3 Karin A. Pfeiffer 4 Alexander H.K. Montoye 5 Jan Christian Brønd 6
title Comparison of Child and Adolescent Physical Activity Levels From Open-Source Versus ActiGraph Counts
spellingShingle Comparison of Child and Adolescent Physical Activity Levels From Open-Source Versus ActiGraph Counts
Kelly Mackintosh
Melitta McNarry
title_short Comparison of Child and Adolescent Physical Activity Levels From Open-Source Versus ActiGraph Counts
title_full Comparison of Child and Adolescent Physical Activity Levels From Open-Source Versus ActiGraph Counts
title_fullStr Comparison of Child and Adolescent Physical Activity Levels From Open-Source Versus ActiGraph Counts
title_full_unstemmed Comparison of Child and Adolescent Physical Activity Levels From Open-Source Versus ActiGraph Counts
title_sort Comparison of Child and Adolescent Physical Activity Levels From Open-Source Versus ActiGraph Counts
author_id_str_mv bdb20e3f31bcccf95c7bc116070c4214
062f5697ff59f004bc8c713955988398
author_id_fullname_str_mv bdb20e3f31bcccf95c7bc116070c4214_***_Kelly Mackintosh
062f5697ff59f004bc8c713955988398_***_Melitta McNarry
author Kelly Mackintosh
Melitta McNarry
author2 Kimberly A. Clevenger
Kelly Mackintosh
Melitta McNarry
Karin A. Pfeiffer
Alexander H.K. Montoye
Jan Christian Brønd
format Journal article
container_title Journal for the Measurement of Physical Behaviour
container_volume 5
container_issue 2
container_start_page 120
publishDate 2022
institution Swansea University
issn 2575-6605
2575-6613
doi_str_mv 10.1123/jmpb.2021-0057
publisher Human Kinetics
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Sport and Exercise Sciences{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Sport and Exercise Sciences
url http://dx.doi.org/10.1123/jmpb.2021-0057
document_store_str 0
active_str 0
description ActiGraph counts are commonly used for characterizing physical activity intensity and energy expenditure and are among the most well-studied accelerometer metrics. Researchers have recently replicated the counts processing method using a mechanical setup, now allowing users to generate counts from raw acceleration data. Purpose: The purpose of this study was to compare ActiGraph-generated counts to open-source counts and assess the impact on free-living physical activity levels derived from cut points, machine learning, and two-regression models. Methods: Children (n = 488, 13.0 ± 1.1 years of age) wore an ActiGraph wGT3X-BT on their right hip for 7 days during waking hours. ActiGraph counts and counts generated from raw acceleration data were compared at the epoch-level and as overall means. Seven methods were used to classify overall and epoch-level activity intensity. Outcomes were compared using weighted kappa, correlations, mean absolute deviation, and two one-sided equivalence testing. Results: All outcomes were statistically equivalent between ActiGraph and open-source counts; weighted kappa was ≥.971 and epoch-level correlations were ≥.992, indicating very high agreement. Bland–Altman plots indicated differences increased with activity intensity, but overall differences between ActiGraph and open-source counts were minimal (e.g., epoch-level mean absolute difference of 23.9 vector magnitude counts per minute). Regardless of classification model, average differences translated to 1.4–2.6 min/day for moderate- to vigorous-intensity physical activity. Conclusion: Open-source counts may be used to enhance comparability of future studies, streamline data analysis, and enable researchers to use existing developed models with alternative accelerometer brands. Future studies should verify the performance of open-source counts for other outcomes, like sleep.
published_date 2022-06-01T11:05:24Z
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