Cargando…

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

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. On...

Descripción completa

Detalles Bibliográficos
Autores principales: Buchan, Duncan S., Ugbolue, Ukadike C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9739422/
https://www.ncbi.nlm.nih.gov/pubmed/36498039
http://dx.doi.org/10.3390/ijerph192315962
_version_ 1784847801678561280
author Buchan, Duncan S.
Ugbolue, Ukadike C.
author_facet Buchan, Duncan S.
Ugbolue, Ukadike C.
author_sort Buchan, Duncan S.
collection PubMed
description 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.
format Online
Article
Text
id pubmed-9739422
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-97394222022-12-11 Comparing the activPAL CREA and GHLA Algorithms for the Classification of Postures and Activity in Free-Living Children Buchan, Duncan S. Ugbolue, Ukadike C. Int J Environ Res Public Health Article 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. MDPI 2022-11-30 /pmc/articles/PMC9739422/ /pubmed/36498039 http://dx.doi.org/10.3390/ijerph192315962 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Buchan, Duncan S.
Ugbolue, Ukadike C.
Comparing the activPAL CREA and GHLA Algorithms for the Classification of Postures and Activity in Free-Living Children
title Comparing the activPAL CREA and GHLA Algorithms for the Classification of Postures and Activity in Free-Living Children
title_full Comparing the activPAL CREA and GHLA Algorithms for the Classification of Postures and Activity in Free-Living Children
title_fullStr Comparing the activPAL CREA and GHLA Algorithms for the Classification of Postures and Activity in Free-Living Children
title_full_unstemmed Comparing the activPAL CREA and GHLA Algorithms for the Classification of Postures and Activity in Free-Living Children
title_short Comparing the activPAL CREA and GHLA Algorithms for the Classification of Postures and Activity in Free-Living Children
title_sort comparing the activpal crea and ghla algorithms for the classification of postures and activity in free-living children
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9739422/
https://www.ncbi.nlm.nih.gov/pubmed/36498039
http://dx.doi.org/10.3390/ijerph192315962
work_keys_str_mv AT buchanduncans comparingtheactivpalcreaandghlaalgorithmsfortheclassificationofposturesandactivityinfreelivingchildren
AT ugbolueukadikec comparingtheactivpalcreaandghlaalgorithmsfortheclassificationofposturesandactivityinfreelivingchildren