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Comparing the activPAL CREA and GHLA Algorithms for the Classification of Postures and Activity in Free-Living Children

Bibliographic Data

ID15465110
AuthorsDuncan S Buchan (0000-0002-4320-4615, University of the West of Scotland, corresponding author), Ukadike C Ugbolue (0000-0002-6640-4126, University of the West of Scotland)
Year2022
Volume19
Issue23
Pages15962-15962
Publication date2022-11-30
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph192315962
PMID36498039
OpenAlexW4311001991
LanguageEN
References cited9

The activPAL accelerometer has been used extensively in research to assess sedentary behaviour (SB) and physical activity (PA) outcomes. The aim of this study was to assess the comparability of PA and SB outcomes from two automated algorithms (CREA and GHLA) applied to the activPAL accelerometer. One hundred and twenty participants aged 8−12 years wore an activPAL accelerometer on their right thigh continuously for seven days on two occasions, providing valid data from 1058 days. The PALbatch software downloaded the data after applying the CREA and GHLA (latest) algorithms. The comparability of the algorithms were assessed using the mean absolute percent error (MAPE), intra-class correlation coefficients (ICC), and equivalence testing. Comparisons for daily wear time, primary lying, sitting and standing time, sedentary and stepping time, upright time, total number of steps, sit−stand transitions and stepping time ≤ 1 min revealed mainly small MAPE (≤2%), excellent ICCs (lower bound 95% CI ≥ 0.97), and equivalent outcomes. Time spent in sitting bouts > 60 min and stepping bouts > 5 min were not equivalent with the absolute zone needed to reach equivalence (≥7%). Comparable outcomes were provided for wear time and postural outcomes using the CREA or GHLA algorithms, but not for time spent in sitting bouts > 60 min and stepping bouts > 5 min

Accelerometer · Algorithm · Comparability · Equivalence (formal languages · Physical activity · Physical medicine and rehabilitation · Physical therapy · Sitting · Statistics · Children's Physical and Motor Development · Computer Science · Mathematics · Medicine · Obesity, Physical Activity, Diet · Physical Activity and Health

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    Archiman Biswas, Aviroop Biswas et al.•Annals of Internal Medicine•2015

  • WHO guidelines on physical activity and sedentary behaviour for children and adolescents aged 5–17 years

    Open Access•Jean‐philippe Chaput, Juana F Willumsen et al.•International Journal of…•2020

  • Validation of Wearable Monitors for Assessing Sedentary Behavior

    Sarah Kozey Keadle, SARAH KOZEY-KEADLE et al.•Medicine & Science in Sports &…•2011

  • Breaking Up Prolonged Sitting Reduces Postprandial Glucose and Insulin Responses

    Open Access•David W Dunstan, Bronwyn A Kingwell et al.•Diabetes Care•2012

  • Canadian 24-Hour Movement Guidelines for Children and Youth

    Open Access•Mark S Tremblay, Valerie Carson et al.•Applied Physiology, Nutrition,…•2016

  • Statistical Methods for Assessing Agreement Between Two Methods of Clinical Measurement

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  • Global trends in insufficient physical activity among adolescents

    Open Access•Regina Guthold, G A Stevens et al.•The Lancet Child & Adolescent…•2020

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    Open Access•Terry K Koo, Mae Y Li•Journal of Chiropractic Medicine•2016

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