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Physical activity staging distribution: Establishing a heuristic using multiple studies

cris.virtual.author-orcid0000-0002-2897-4689
cris.virtualsource.author-orcid9cbda8da-98e8-41d5-883d-d61a5acebdf6
datacite.rightsopen.access
dc.contributor.authorNigg, Claudio Renato
dc.contributor.authorHellsten, L.
dc.contributor.authorNorman, G.
dc.contributor.authorBraun, L.
dc.contributor.authorBreger, R.
dc.contributor.authorBurbank, P.
dc.contributor.authorCoday, M.
dc.contributor.authorElliot, D.
dc.contributor.authorGarber, C.
dc.contributor.authorGreaney, M.
dc.contributor.authorKeteyian, S.
dc.contributor.authorLees, F.
dc.contributor.authorMatthews, C.
dc.contributor.authorMoe, E.
dc.contributor.authorResnick, B.
dc.contributor.authorRiebe, D.
dc.contributor.authorRossi, J.
dc.contributor.authorToobert, D.
dc.contributor.authorWang, T.
dc.contributor.authorWelk, G.
dc.contributor.authorWilliams, G.
dc.date.accessioned2024-10-26T17:24:19Z
dc.date.available2024-10-26T17:24:19Z
dc.date.issued2005
dc.description.abstractThe purpose of this study was to identify the population prevalence across the stages of change (SoC) for regular physical activity and to establish the prevalence of people at risk. With support from the National Institutes of Health, the American Heart Association, and the Robert Wood Johnson Foundation, nine Behavior Change Consortium studies with a common physical activity SoC measure agreed to collaborate and share data. The distribution pattern identified in these predominantly reactively recruited studies was Precontemplation (PC) = 5% (+/- 10), Contemplation (C) = 10% (+/- 10), Preparation (P) = 40% (+/- 10), Action = 10% (+/- 10), and Maintenance = 35% (+/- 10). With reactively recruited studies, it can be anticipated that there will be a higher percentage of the sample that is ready to change and a greater percentage of currently active people compared to random representative samples. The at-risk stage distribution (i.e., those not at criteria or PC, C, and P) was approximately 10% PC, 20% C, and 70% P in specific samples and approximately 20% PC, 10% C, and 70% P in the clinical samples. Knowing SoC heuristics can inform public health practitioners and policymakers about the population's motivation for physical activity, help track changes over time, and assist in the allocation of resources.
dc.description.numberOfPages11
dc.description.sponsorshipInstitut für Sportwissenschaft (ISPW)
dc.identifier.doi10.48350/193392
dc.identifier.pmid15921488
dc.identifier.publisherDOI10.1207/s15324796abm2902s_7
dc.identifier.urihttps://boris-portal.unibe.ch/handle/20.500.12422/174853
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofAnnals of behavioral medicine
dc.relation.issn0883-6612
dc.relation.organizationInstitute of Sport Science (ISPW)
dc.subject.ddc700 - Arts::790 - Sports, games & entertainment
dc.titlePhysical activity staging distribution: Establishing a heuristic using multiple studies
dc.typearticle
dspace.entity.typePublication
dspace.file.typetext
oaire.citation.endPage45
oaire.citation.issue2
oaire.citation.startPage35
oaire.citation.volume29
oairecerif.author.affiliationInstitut für Sportwissenschaft (ISPW)
oairecerif.author.affiliation2Institut für Sportwissenschaft (ISPW) - Gesundheitswissenschaft
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unibe.date.licenseChanged2024-03-06 15:02:35
unibe.description.ispublishedpub
unibe.eprints.legacyId193392
unibe.journal.abbrevTitleANN BEHAV MED
unibe.refereedtrue
unibe.subtype.articlejournal

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