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Individual and country-level factors associated with self-reported and accelerometer-based physical activity in old age: a cross-national analysis of European countries
This study aimed to investigate associations between individual-level (personality traits, quality of life) and country-level (gross domestic product per capita, number of policies and action plans for physical activity) factors with self-reported and accelerometer-based physical activity and cross-...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9589794/ https://www.ncbi.nlm.nih.gov/pubmed/36311335 http://dx.doi.org/10.1007/s10433-022-00737-8 |
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author | Kekäläinen, Tiia Luchetti, Martina Aschwanden, Damaris Sutin, Angelina R. Terracciano, Antonio |
author_facet | Kekäläinen, Tiia Luchetti, Martina Aschwanden, Damaris Sutin, Angelina R. Terracciano, Antonio |
author_sort | Kekäläinen, Tiia |
collection | PubMed |
description | This study aimed to investigate associations between individual-level (personality traits, quality of life) and country-level (gross domestic product per capita, number of policies and action plans for physical activity) factors with self-reported and accelerometer-based physical activity and cross-level interactions among European countries. Based on the Survey of Health, Ageing and Retirement in Europe (SHARE) from 2019–2020, self-reported physical activity (N = 46,617 from 27 countries) and accelerometer-based average acceleration and intensity gradient (N = 855 from 10 countries) were analyzed. Mixed-model regressions with two levels (individuals nested within countries) were used for analyses. Between countries differences accounted for relatively small portions of the variability in self-reported physical activity (intraclass correlation, ICC = 7.5%), average acceleration (ICC = 3.5%), and intensity gradient (ICC = 1.9%). There were more associations between individual- and country-level factors and self-reported physical activity than with accelerometer-based physical activity. The association between individual-level variables and accelerometer-based physical activity did not differ between countries. Cross-level interactions suggested that associations between some personality traits and self-reported physical activity were stronger in countries with lower GDP. Both individual- and country-level factors are related to participation in more intensive physical activities. Adults with less resilient personality traits living in countries with lower resources are at the highest risk for physical inactivity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10433-022-00737-8. |
format | Online Article Text |
id | pubmed-9589794 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-95897942022-10-24 Individual and country-level factors associated with self-reported and accelerometer-based physical activity in old age: a cross-national analysis of European countries Kekäläinen, Tiia Luchetti, Martina Aschwanden, Damaris Sutin, Angelina R. Terracciano, Antonio Eur J Ageing Original Investigation This study aimed to investigate associations between individual-level (personality traits, quality of life) and country-level (gross domestic product per capita, number of policies and action plans for physical activity) factors with self-reported and accelerometer-based physical activity and cross-level interactions among European countries. Based on the Survey of Health, Ageing and Retirement in Europe (SHARE) from 2019–2020, self-reported physical activity (N = 46,617 from 27 countries) and accelerometer-based average acceleration and intensity gradient (N = 855 from 10 countries) were analyzed. Mixed-model regressions with two levels (individuals nested within countries) were used for analyses. Between countries differences accounted for relatively small portions of the variability in self-reported physical activity (intraclass correlation, ICC = 7.5%), average acceleration (ICC = 3.5%), and intensity gradient (ICC = 1.9%). There were more associations between individual- and country-level factors and self-reported physical activity than with accelerometer-based physical activity. The association between individual-level variables and accelerometer-based physical activity did not differ between countries. Cross-level interactions suggested that associations between some personality traits and self-reported physical activity were stronger in countries with lower GDP. Both individual- and country-level factors are related to participation in more intensive physical activities. Adults with less resilient personality traits living in countries with lower resources are at the highest risk for physical inactivity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10433-022-00737-8. Springer Netherlands 2022-10-21 /pmc/articles/PMC9589794/ /pubmed/36311335 http://dx.doi.org/10.1007/s10433-022-00737-8 Text en © The Author(s) 2022 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/) . |
spellingShingle | Original Investigation Kekäläinen, Tiia Luchetti, Martina Aschwanden, Damaris Sutin, Angelina R. Terracciano, Antonio Individual and country-level factors associated with self-reported and accelerometer-based physical activity in old age: a cross-national analysis of European countries |
title | Individual and country-level factors associated with self-reported and accelerometer-based physical activity in old age: a cross-national analysis of European countries |
title_full | Individual and country-level factors associated with self-reported and accelerometer-based physical activity in old age: a cross-national analysis of European countries |
title_fullStr | Individual and country-level factors associated with self-reported and accelerometer-based physical activity in old age: a cross-national analysis of European countries |
title_full_unstemmed | Individual and country-level factors associated with self-reported and accelerometer-based physical activity in old age: a cross-national analysis of European countries |
title_short | Individual and country-level factors associated with self-reported and accelerometer-based physical activity in old age: a cross-national analysis of European countries |
title_sort | individual and country-level factors associated with self-reported and accelerometer-based physical activity in old age: a cross-national analysis of european countries |
topic | Original Investigation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9589794/ https://www.ncbi.nlm.nih.gov/pubmed/36311335 http://dx.doi.org/10.1007/s10433-022-00737-8 |
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