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Interactive Multimodal Ambulatory Monitoring to Investigate the Association between Physical Activity and Affect

Although there is a wealth of evidence that physical activity has positive effects on psychological health, a large proportion of people are inactive. Data regarding counts, steps, and movement patterns are limited in their ability to explain why people remain inactive. We propose that multimodal am...

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Autores principales: Ebner-Priemer, U. W., Koudela, S., Mutz, G., Kanning, M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3554220/
https://www.ncbi.nlm.nih.gov/pubmed/23355828
http://dx.doi.org/10.3389/fpsyg.2012.00596
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author Ebner-Priemer, U. W.
Koudela, S.
Mutz, G.
Kanning, M.
author_facet Ebner-Priemer, U. W.
Koudela, S.
Mutz, G.
Kanning, M.
author_sort Ebner-Priemer, U. W.
collection PubMed
description Although there is a wealth of evidence that physical activity has positive effects on psychological health, a large proportion of people are inactive. Data regarding counts, steps, and movement patterns are limited in their ability to explain why people remain inactive. We propose that multimodal ambulatory monitoring, which combines the assessment of physical activity with the assessment of psychological variables, helps to elucidate real world physical activity. Whereas physical activity can be monitored continuously, psychological variables can only be assessed at discrete intervals, such as every hour. Moreover, the assessment of psychological variables must be linked to the activity of interest. For example, if an inactive and overweight person is physically active once a week, psychological variables should be assessed during this episode. Linking the assessment of psychological variables to episodes of an activity of interest can be achieved with interactive monitoring. The primary aim of our interactive multimodal ambulatory monitoring approach was to intentionally increase the number of e-diary assessments during “active” episodes. We developed and tested an interactive monitoring algorithm that continuously monitors physical activity in everyday life. When predefined thresholds are surpassed, the algorithm triggers a signal for participants to answer questions in their electronic diary. Using data from 70 participants wearing an accelerative device for 24 h each, we found that our algorithm quadrupled the frequency of e-diary assessments during the activity episodes of interest compared to random sampling. Multimodal interactive ambulatory monitoring appears to be a promising approach to enhancing our understanding of real world physical activity and movement.
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spelling pubmed-35542202013-01-25 Interactive Multimodal Ambulatory Monitoring to Investigate the Association between Physical Activity and Affect Ebner-Priemer, U. W. Koudela, S. Mutz, G. Kanning, M. Front Psychol Psychology Although there is a wealth of evidence that physical activity has positive effects on psychological health, a large proportion of people are inactive. Data regarding counts, steps, and movement patterns are limited in their ability to explain why people remain inactive. We propose that multimodal ambulatory monitoring, which combines the assessment of physical activity with the assessment of psychological variables, helps to elucidate real world physical activity. Whereas physical activity can be monitored continuously, psychological variables can only be assessed at discrete intervals, such as every hour. Moreover, the assessment of psychological variables must be linked to the activity of interest. For example, if an inactive and overweight person is physically active once a week, psychological variables should be assessed during this episode. Linking the assessment of psychological variables to episodes of an activity of interest can be achieved with interactive monitoring. The primary aim of our interactive multimodal ambulatory monitoring approach was to intentionally increase the number of e-diary assessments during “active” episodes. We developed and tested an interactive monitoring algorithm that continuously monitors physical activity in everyday life. When predefined thresholds are surpassed, the algorithm triggers a signal for participants to answer questions in their electronic diary. Using data from 70 participants wearing an accelerative device for 24 h each, we found that our algorithm quadrupled the frequency of e-diary assessments during the activity episodes of interest compared to random sampling. Multimodal interactive ambulatory monitoring appears to be a promising approach to enhancing our understanding of real world physical activity and movement. Frontiers Media S.A. 2013-01-18 /pmc/articles/PMC3554220/ /pubmed/23355828 http://dx.doi.org/10.3389/fpsyg.2012.00596 Text en Copyright © 2013 Ebner-Priemer, Koudela, Mutz and Kanning. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.
spellingShingle Psychology
Ebner-Priemer, U. W.
Koudela, S.
Mutz, G.
Kanning, M.
Interactive Multimodal Ambulatory Monitoring to Investigate the Association between Physical Activity and Affect
title Interactive Multimodal Ambulatory Monitoring to Investigate the Association between Physical Activity and Affect
title_full Interactive Multimodal Ambulatory Monitoring to Investigate the Association between Physical Activity and Affect
title_fullStr Interactive Multimodal Ambulatory Monitoring to Investigate the Association between Physical Activity and Affect
title_full_unstemmed Interactive Multimodal Ambulatory Monitoring to Investigate the Association between Physical Activity and Affect
title_short Interactive Multimodal Ambulatory Monitoring to Investigate the Association between Physical Activity and Affect
title_sort interactive multimodal ambulatory monitoring to investigate the association between physical activity and affect
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3554220/
https://www.ncbi.nlm.nih.gov/pubmed/23355828
http://dx.doi.org/10.3389/fpsyg.2012.00596
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