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Joint regression modelling of intensity and timing of accelerometer counts

Accelerometers are commonly used in human medical and public health research to measure physical movement, which is relevant in a wide range of studies, from physical activity and sleep behaviours studies, to identification of movement patterns in people affected by diseases of the locomotor system...

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Detalles Bibliográficos
Autor principal: Geraci, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10107885/
https://www.ncbi.nlm.nih.gov/pubmed/36562435
http://dx.doi.org/10.1002/sim.9633
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author Geraci, Marco
author_facet Geraci, Marco
author_sort Geraci, Marco
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description Accelerometers are commonly used in human medical and public health research to measure physical movement, which is relevant in a wide range of studies, from physical activity and sleep behaviours studies, to identification of movement patterns in people affected by diseases of the locomotor system and prediction of risk of injury in high performance sports. The accelerometer output provides the intensity (activity count) and timing (timestamp) of the movement, which can be used to define bouts of activity (periods of sustained movement of a given intensity). In some contexts, it may be important to include both dimensions to obtain a broader and deeper understanding of the phenomenon under study. Such is the case of a large‐scale epidemiological investigation on the daily and weekly physical activity behaviours of school‐aged children enrolled in the UK Millennium Cohort Study, which has motivated the present article. I present a statistical approach to joint modelling of intensity and timing of activity bouts that takes advantage of the circular nature of the timing. The model, which accounts for the longitudinal structure of the observations, is remarkably simple to implement using standard statistical software.
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spelling pubmed-101078852023-04-18 Joint regression modelling of intensity and timing of accelerometer counts Geraci, Marco Stat Med Research Articles Accelerometers are commonly used in human medical and public health research to measure physical movement, which is relevant in a wide range of studies, from physical activity and sleep behaviours studies, to identification of movement patterns in people affected by diseases of the locomotor system and prediction of risk of injury in high performance sports. The accelerometer output provides the intensity (activity count) and timing (timestamp) of the movement, which can be used to define bouts of activity (periods of sustained movement of a given intensity). In some contexts, it may be important to include both dimensions to obtain a broader and deeper understanding of the phenomenon under study. Such is the case of a large‐scale epidemiological investigation on the daily and weekly physical activity behaviours of school‐aged children enrolled in the UK Millennium Cohort Study, which has motivated the present article. I present a statistical approach to joint modelling of intensity and timing of activity bouts that takes advantage of the circular nature of the timing. The model, which accounts for the longitudinal structure of the observations, is remarkably simple to implement using standard statistical software. John Wiley & Sons, Inc. 2022-12-23 2023-02-20 /pmc/articles/PMC10107885/ /pubmed/36562435 http://dx.doi.org/10.1002/sim.9633 Text en © 2022 The Author. Statistics in Medicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Geraci, Marco
Joint regression modelling of intensity and timing of accelerometer counts
title Joint regression modelling of intensity and timing of accelerometer counts
title_full Joint regression modelling of intensity and timing of accelerometer counts
title_fullStr Joint regression modelling of intensity and timing of accelerometer counts
title_full_unstemmed Joint regression modelling of intensity and timing of accelerometer counts
title_short Joint regression modelling of intensity and timing of accelerometer counts
title_sort joint regression modelling of intensity and timing of accelerometer counts
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10107885/
https://www.ncbi.nlm.nih.gov/pubmed/36562435
http://dx.doi.org/10.1002/sim.9633
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