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A Practical Guide to Analyzing Time-Varying Associations between Physical Activity and Affect Using Multilevel Modeling
There is growing interest in within-person associations of objectively measured physical and physiological variables with psychological states in daily life. Here we provide a practical guide with SAS code of multilevel modeling for analyzing physical activity data obtained by accelerometer and self...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6076963/ https://www.ncbi.nlm.nih.gov/pubmed/30105083 http://dx.doi.org/10.1155/2018/8652034 |
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author | Kim, Jinhyuk Marcusson-Clavertz, David Togo, Fumiharu Park, Hyuntae |
author_facet | Kim, Jinhyuk Marcusson-Clavertz, David Togo, Fumiharu Park, Hyuntae |
author_sort | Kim, Jinhyuk |
collection | PubMed |
description | There is growing interest in within-person associations of objectively measured physical and physiological variables with psychological states in daily life. Here we provide a practical guide with SAS code of multilevel modeling for analyzing physical activity data obtained by accelerometer and self-report data from intensive and repeated measures using ecological momentary assessments (EMA). We review previous applications of EMA in research and clinical settings and the analytical tools that are useful for EMA research. We exemplify the analyses of EMA data with cases on physical activity data and affect and discuss the future challenges in the field. |
format | Online Article Text |
id | pubmed-6076963 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-60769632018-08-13 A Practical Guide to Analyzing Time-Varying Associations between Physical Activity and Affect Using Multilevel Modeling Kim, Jinhyuk Marcusson-Clavertz, David Togo, Fumiharu Park, Hyuntae Comput Math Methods Med Review Article There is growing interest in within-person associations of objectively measured physical and physiological variables with psychological states in daily life. Here we provide a practical guide with SAS code of multilevel modeling for analyzing physical activity data obtained by accelerometer and self-report data from intensive and repeated measures using ecological momentary assessments (EMA). We review previous applications of EMA in research and clinical settings and the analytical tools that are useful for EMA research. We exemplify the analyses of EMA data with cases on physical activity data and affect and discuss the future challenges in the field. Hindawi 2018-07-09 /pmc/articles/PMC6076963/ /pubmed/30105083 http://dx.doi.org/10.1155/2018/8652034 Text en Copyright © 2018 Jinhyuk Kim et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Kim, Jinhyuk Marcusson-Clavertz, David Togo, Fumiharu Park, Hyuntae A Practical Guide to Analyzing Time-Varying Associations between Physical Activity and Affect Using Multilevel Modeling |
title | A Practical Guide to Analyzing Time-Varying Associations between Physical Activity and Affect Using Multilevel Modeling |
title_full | A Practical Guide to Analyzing Time-Varying Associations between Physical Activity and Affect Using Multilevel Modeling |
title_fullStr | A Practical Guide to Analyzing Time-Varying Associations between Physical Activity and Affect Using Multilevel Modeling |
title_full_unstemmed | A Practical Guide to Analyzing Time-Varying Associations between Physical Activity and Affect Using Multilevel Modeling |
title_short | A Practical Guide to Analyzing Time-Varying Associations between Physical Activity and Affect Using Multilevel Modeling |
title_sort | practical guide to analyzing time-varying associations between physical activity and affect using multilevel modeling |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6076963/ https://www.ncbi.nlm.nih.gov/pubmed/30105083 http://dx.doi.org/10.1155/2018/8652034 |
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