Predicting planned physical activity of individuals with arthritis: A self-regulatory perspective
Few individuals with arthritis are sufficiently active. We surveyed a convenience sample of exercisers (N = 134) to examine the utility of social cognitive theory variables, namely, self-regulatory efficacy, negative outcome expectations, and pain acceptance for predicting planned physical activity...
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| Veröffentlicht in: | Journal of health psychology 2016-11, Vol.21 (11), p.2684-2694 |
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| container_end_page | 2694 |
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| container_title | Journal of health psychology |
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| creator | Flora, Parminder K Brawley, Lawrence R Sessford, James D Cary, Miranda A Gyurcsik, Nancy C |
| description | Few individuals with arthritis are sufficiently active. We surveyed a convenience sample of exercisers (N = 134) to examine the utility of social cognitive theory variables, namely, self-regulatory efficacy, negative outcome expectations, and pain acceptance for predicting planned physical activity according to Weinstein’s two prediction suggestions. Logistic regression revealed, after controlling for pain intensity, self-regulatory efficacy, negative outcome expectations, and pain acceptance distinguished groups achieving/not achieving planned physical activity, p |
| doi_str_mv | 10.1177/1359105315583370 |
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We surveyed a convenience sample of exercisers (N = 134) to examine the utility of social cognitive theory variables, namely, self-regulatory efficacy, negative outcome expectations, and pain acceptance for predicting planned physical activity according to Weinstein’s two prediction suggestions. Logistic regression revealed, after controlling for pain intensity, self-regulatory efficacy, negative outcome expectations, and pain acceptance distinguished groups achieving/not achieving planned physical activity, p < 0.001 (28% variance). A second model adding past physical activity also predicted the groups, p < 0.001 (57% variance). This is one of the first arthritis studies examining planned physical activity relative to Weinstein’s recommendations.</description><subject>Acceptance</subject><subject>Arthritis</subject><subject>Efficacy</subject><subject>Exercise</subject><subject>Pain</subject><subject>Physical activity</subject><subject>Self regulation</subject><subject>Social cognitive theory</subject><issn>1359-1053</issn><issn>1461-7277</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>7QJ</sourceid><recordid>eNp1kM1LwzAYxoMobk7vniTgxUs1H03TeJPhFwz0oOeSpm-3jK6tSav0vzdlU2TgKS95fs-TvA9C55RcUyrlDeVCUSI4FSLlXJIDNKVxQiPJpDwMc5CjUZ-gE-_XhBCRpOwYTZhQiVSxmCL96qCwprP1EreVrmsocLsavDW6wjrcf9puwE2JbV2Eueh15fGX7VZYu27lbGf9Lb7DHqoycrDsK901bsAtON_CaIdTdFQGE5ztzhl6f7h_mz9Fi5fH5_ndIjI8EV2kcs4hh7CKkSnjBhgpSq5KkSuTGMqNgJywhNCiFApiybUURlFVqJgFOeUzdLXNbV3z0YPvso31BqqwFDS9z2jKkoSmMh7Ryz103fSuDr8LFGckVozRQJEtZVzjvYMya53daDdklGRj_dl-_cFysQvu8w0Uv4afvgMQbQGvl_Dn1f8CvwHYMIzs</recordid><startdate>201611</startdate><enddate>201611</enddate><creator>Flora, Parminder K</creator><creator>Brawley, Lawrence R</creator><creator>Sessford, James D</creator><creator>Cary, Miranda A</creator><creator>Gyurcsik, Nancy C</creator><general>SAGE Publications</general><general>SAGE PUBLICATIONS, INC</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QJ</scope><scope>8BJ</scope><scope>FQK</scope><scope>JBE</scope><scope>7X8</scope></search><sort><creationdate>201611</creationdate><title>Predicting planned physical activity of individuals with arthritis: A self-regulatory perspective</title><author>Flora, Parminder K ; Brawley, Lawrence R ; Sessford, James D ; Cary, Miranda A ; Gyurcsik, Nancy C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c365t-9b33ebe315c7823ce20df39f5b9c6c13c5eb02601df59e473a75c919d942c1383</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Acceptance</topic><topic>Arthritis</topic><topic>Efficacy</topic><topic>Exercise</topic><topic>Pain</topic><topic>Physical activity</topic><topic>Self regulation</topic><topic>Social cognitive theory</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Flora, Parminder K</creatorcontrib><creatorcontrib>Brawley, Lawrence R</creatorcontrib><creatorcontrib>Sessford, James D</creatorcontrib><creatorcontrib>Cary, Miranda A</creatorcontrib><creatorcontrib>Gyurcsik, Nancy C</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of health psychology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Flora, Parminder K</au><au>Brawley, Lawrence R</au><au>Sessford, James D</au><au>Cary, Miranda A</au><au>Gyurcsik, Nancy C</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predicting planned physical activity of individuals with arthritis: A self-regulatory perspective</atitle><jtitle>Journal of health psychology</jtitle><addtitle>J Health Psychol</addtitle><date>2016-11</date><risdate>2016</risdate><volume>21</volume><issue>11</issue><spage>2684</spage><epage>2694</epage><pages>2684-2694</pages><issn>1359-1053</issn><eissn>1461-7277</eissn><abstract>Few individuals with arthritis are sufficiently active. 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| ispartof | Journal of health psychology, 2016-11, Vol.21 (11), p.2684-2694 |
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| language | eng |
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| source | Applied Social Sciences Index & Abstracts (ASSIA); SAGE Complete |
| subjects | Acceptance Arthritis Efficacy Exercise Pain Physical activity Self regulation Social cognitive theory |
| title | Predicting planned physical activity of individuals with arthritis: A self-regulatory perspective |
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