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Reference values for wrist-worn accelerometer physical activity metrics in England children and adolescents

BACKGROUND: Over the last decade use of raw acceleration metrics to assess physical activity has increased. Metrics such as Euclidean Norm Minus One (ENMO), and Mean Amplitude Deviation (MAD) can be used to generate metrics which describe physical activity volume (average acceleration), intensity di...

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Autores principales: Fairclough, Stuart J., Rowlands, Alex V., del Pozo Cruz, Borja, Crotti, Matteo, Foweather, Lawrence, Graves, Lee E. F., Hurter, Liezel, Jones, Owen, MacDonald, Mhairi, McCann, Deborah A., Miller, Caitlin, Noonan, Robert J., Owen, Michael B., Rudd, James R., Taylor, Sarah L., Tyler, Richard, Boddy, Lynne M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10039565/
https://www.ncbi.nlm.nih.gov/pubmed/36964597
http://dx.doi.org/10.1186/s12966-023-01435-z
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author Fairclough, Stuart J.
Rowlands, Alex V.
del Pozo Cruz, Borja
Crotti, Matteo
Foweather, Lawrence
Graves, Lee E. F.
Hurter, Liezel
Jones, Owen
MacDonald, Mhairi
McCann, Deborah A.
Miller, Caitlin
Noonan, Robert J.
Owen, Michael B.
Rudd, James R.
Taylor, Sarah L.
Tyler, Richard
Boddy, Lynne M.
author_facet Fairclough, Stuart J.
Rowlands, Alex V.
del Pozo Cruz, Borja
Crotti, Matteo
Foweather, Lawrence
Graves, Lee E. F.
Hurter, Liezel
Jones, Owen
MacDonald, Mhairi
McCann, Deborah A.
Miller, Caitlin
Noonan, Robert J.
Owen, Michael B.
Rudd, James R.
Taylor, Sarah L.
Tyler, Richard
Boddy, Lynne M.
author_sort Fairclough, Stuart J.
collection PubMed
description BACKGROUND: Over the last decade use of raw acceleration metrics to assess physical activity has increased. Metrics such as Euclidean Norm Minus One (ENMO), and Mean Amplitude Deviation (MAD) can be used to generate metrics which describe physical activity volume (average acceleration), intensity distribution (intensity gradient), and intensity of the most active periods (MX metrics) of the day. Presently, relatively little comparative data for these metrics exists in youth. To address this need, this study presents age- and sex-specific reference percentile values in England youth and compares physical activity volume and intensity profiles by age and sex. METHODS: Wrist-worn accelerometer data from 10 studies involving youth aged 5 to 15 y were pooled. Weekday and weekend waking hours were first calculated for youth in school Years (Y) 1&2, Y4&5, Y6&7, and Y8&9 to determine waking hours durations by age-groups and day types. A valid waking hours day was defined as accelerometer wear for ≥ 600 min·d(−1) and participants with ≥ 3 valid weekdays and ≥ 1 valid weekend day were included. Mean ENMO- and MAD-generated average acceleration, intensity gradient, and MX metrics were calculated and summarised as weighted week averages. Sex-specific smoothed percentile curves were generated for each metric using Generalized Additive Models for Location Scale and Shape. Linear mixed models examined age and sex differences. RESULTS: The analytical sample included 1250 participants. Physical activity peaked between ages 6.5–10.5 y, depending on metric. For all metrics the highest activity levels occurred in less active participants (3(rd)-50(th) percentile) and girls, 0.5 to 1.5 y earlier than more active peers, and boys, respectively. Irrespective of metric, boys were more active than girls (p < .001) and physical activity was lowest in the Y8&9 group, particularly when compared to the Y1&2 group (p < .001). CONCLUSIONS: Percentile reference values for average acceleration, intensity gradient, and MX metrics have utility in describing age- and sex-specific values for physical activity volume and intensity in youth. There is a need to generate nationally-representative wrist-acceleration population-referenced norms for these metrics to further facilitate health-related physical activity research and promotion. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12966-023-01435-z.
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spelling pubmed-100395652023-03-26 Reference values for wrist-worn accelerometer physical activity metrics in England children and adolescents Fairclough, Stuart J. Rowlands, Alex V. del Pozo Cruz, Borja Crotti, Matteo Foweather, Lawrence Graves, Lee E. F. Hurter, Liezel Jones, Owen MacDonald, Mhairi McCann, Deborah A. Miller, Caitlin Noonan, Robert J. Owen, Michael B. Rudd, James R. Taylor, Sarah L. Tyler, Richard Boddy, Lynne M. Int J Behav Nutr Phys Act Research BACKGROUND: Over the last decade use of raw acceleration metrics to assess physical activity has increased. Metrics such as Euclidean Norm Minus One (ENMO), and Mean Amplitude Deviation (MAD) can be used to generate metrics which describe physical activity volume (average acceleration), intensity distribution (intensity gradient), and intensity of the most active periods (MX metrics) of the day. Presently, relatively little comparative data for these metrics exists in youth. To address this need, this study presents age- and sex-specific reference percentile values in England youth and compares physical activity volume and intensity profiles by age and sex. METHODS: Wrist-worn accelerometer data from 10 studies involving youth aged 5 to 15 y were pooled. Weekday and weekend waking hours were first calculated for youth in school Years (Y) 1&2, Y4&5, Y6&7, and Y8&9 to determine waking hours durations by age-groups and day types. A valid waking hours day was defined as accelerometer wear for ≥ 600 min·d(−1) and participants with ≥ 3 valid weekdays and ≥ 1 valid weekend day were included. Mean ENMO- and MAD-generated average acceleration, intensity gradient, and MX metrics were calculated and summarised as weighted week averages. Sex-specific smoothed percentile curves were generated for each metric using Generalized Additive Models for Location Scale and Shape. Linear mixed models examined age and sex differences. RESULTS: The analytical sample included 1250 participants. Physical activity peaked between ages 6.5–10.5 y, depending on metric. For all metrics the highest activity levels occurred in less active participants (3(rd)-50(th) percentile) and girls, 0.5 to 1.5 y earlier than more active peers, and boys, respectively. Irrespective of metric, boys were more active than girls (p < .001) and physical activity was lowest in the Y8&9 group, particularly when compared to the Y1&2 group (p < .001). CONCLUSIONS: Percentile reference values for average acceleration, intensity gradient, and MX metrics have utility in describing age- and sex-specific values for physical activity volume and intensity in youth. There is a need to generate nationally-representative wrist-acceleration population-referenced norms for these metrics to further facilitate health-related physical activity research and promotion. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12966-023-01435-z. BioMed Central 2023-03-25 /pmc/articles/PMC10039565/ /pubmed/36964597 http://dx.doi.org/10.1186/s12966-023-01435-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Fairclough, Stuart J.
Rowlands, Alex V.
del Pozo Cruz, Borja
Crotti, Matteo
Foweather, Lawrence
Graves, Lee E. F.
Hurter, Liezel
Jones, Owen
MacDonald, Mhairi
McCann, Deborah A.
Miller, Caitlin
Noonan, Robert J.
Owen, Michael B.
Rudd, James R.
Taylor, Sarah L.
Tyler, Richard
Boddy, Lynne M.
Reference values for wrist-worn accelerometer physical activity metrics in England children and adolescents
title Reference values for wrist-worn accelerometer physical activity metrics in England children and adolescents
title_full Reference values for wrist-worn accelerometer physical activity metrics in England children and adolescents
title_fullStr Reference values for wrist-worn accelerometer physical activity metrics in England children and adolescents
title_full_unstemmed Reference values for wrist-worn accelerometer physical activity metrics in England children and adolescents
title_short Reference values for wrist-worn accelerometer physical activity metrics in England children and adolescents
title_sort reference values for wrist-worn accelerometer physical activity metrics in england children and adolescents
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10039565/
https://www.ncbi.nlm.nih.gov/pubmed/36964597
http://dx.doi.org/10.1186/s12966-023-01435-z
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