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dc.contributor.authorKekäläinen, Tiia
dc.contributor.authorLuchetti, Martina
dc.contributor.authorAschwanden, Damaris
dc.contributor.authorSutin, Angelina R.
dc.contributor.authorTerracciano, Antonio
dc.date.accessioned2022-11-02T06:41:12Z
dc.date.available2022-11-02T06:41:12Z
dc.date.issued2022
dc.identifier.citationKekäläinen, T., Luchetti, M., Aschwanden, D., Sutin, A. R., & Terracciano, A. (2022). Individual and country-level factors associated with self-reported and accelerometer-based physical activity in old age : a cross-national analysis of European countries. <i>European Journal of Ageing</i>, <i>19</i>(4), 1529-1542. <a href="https://doi.org/10.1007/s10433-022-00737-8" target="_blank">https://doi.org/10.1007/s10433-022-00737-8</a>
dc.identifier.otherCONVID_159381119
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/83763
dc.description.abstractThis 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.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofseriesEuropean Journal of Ageing
dc.rightsCC BY 4.0
dc.subject.otherphysical activity
dc.subject.otherpersonality
dc.subject.otherquality of life
dc.titleIndividual and country-level factors associated with self-reported and accelerometer-based physical activity in old age : a cross-national analysis of European countries
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202211025068
dc.contributor.laitosLiikuntatieteellinen tiedekuntafi
dc.contributor.laitosFaculty of Sport and Health Sciencesen
dc.contributor.oppiaineGerontologia ja kansanterveysfi
dc.contributor.oppiaineGerontology and Public Healthen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.format.pagerange1529-1542
dc.relation.issn1613-9372
dc.relation.numberinseries4
dc.relation.volume19
dc.type.versionpublishedVersion
dc.rights.copyright© The Author(s) 2022
dc.rights.accesslevelopenAccessfi
dc.subject.ysoelämänlaatu
dc.subject.ysopersoonallisuuden piirteet
dc.subject.ysovaltiot
dc.subject.ysokansainvälinen vertailu
dc.subject.ysopersoonallisuus
dc.subject.ysofyysinen aktiivisuus
dc.subject.ysobruttokansantuote
dc.subject.ysoikääntyneet
dc.subject.ysoliikuntapolitiikka
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p10759
jyx.subject.urihttp://www.yso.fi/onto/yso/p291
jyx.subject.urihttp://www.yso.fi/onto/yso/p3215
jyx.subject.urihttp://www.yso.fi/onto/yso/p19660
jyx.subject.urihttp://www.yso.fi/onto/yso/p7075
jyx.subject.urihttp://www.yso.fi/onto/yso/p23102
jyx.subject.urihttp://www.yso.fi/onto/yso/p12140
jyx.subject.urihttp://www.yso.fi/onto/yso/p2433
jyx.subject.urihttp://www.yso.fi/onto/yso/p19682
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1007/s10433-022-00737-8
jyx.fundinginformationOpen Access funding provided by University of Jyväskylä (JYU). This paper uses data from SHARE Waves 7 and 8 (DOIs: SHARE.w7.800, 10.6103/SHARE.w8.800, 10.6103), see Börsch-Supan et al. (2013) for methodological details. SHARE is centrally coordinated by Dr. Axel Börsch-Supan at the Munich Center for the Economics of Aging, Max Planck Institute for Social Law and Social Policy. The SHARE data collection has been funded by the European Commission (Horizon 2020), the U.S. National Institute on Aging, and national sources, especially the German Federal Ministry of Education and Research (for an overview, see http://www.share-project.org/organisation/funding.html). TK has received support from the Fulbright Finland Foundation. ML, DA, and AT’s work was supported by the National Institute on Aging of the National Institutes of Health under Award Number R01AG068093.
dc.type.okmA1


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