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Predicting sun protection behaviors using protection motivation variables
Protection motivation theory components were used to predict sun protection behaviors (SPBs) using four outcome measures: typical reported behaviors, previous reported behaviors, current sunscreen use as determined by interview, and current observed behaviors (clothing worn) to control for common me...
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Published in: | Journal of behavioral medicine 2014-04, Vol.37 (2), p.245-256 |
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description | Protection motivation theory components were used to predict sun protection behaviors (SPBs) using four outcome measures: typical reported behaviors, previous reported behaviors, current sunscreen use as determined by interview, and current observed behaviors (clothing worn) to control for common method bias. Sampled from two SE Queensland public beaches during summer, 199 participants aged 18–29 years completed a questionnaire measuring perceived severity, perceived vulnerability, response efficacy, response costs, and protection motivation (PM). Personal perceived risk (similar to threat appraisal) and response likelihood (similar to coping appraisal) were derived from their respective PM components. Protection motivation predicted all four SPB criterion variables. Personal perceived risk and response likelihood predicted protection motivation. Protection motivation completely mediated the effect of response likelihood on all four criterion variables. Alternative models are considered. Strengths and limitations of the study are outlined and suggestions made for future research. |
doi_str_mv | 10.1007/s10865-012-9482-5 |
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M. ; Glendon, A. Ian</creator><creatorcontrib>Ch’ng, Joanne W. M. ; Glendon, A. Ian</creatorcontrib><description>Protection motivation theory components were used to predict sun protection behaviors (SPBs) using four outcome measures: typical reported behaviors, previous reported behaviors, current sunscreen use as determined by interview, and current observed behaviors (clothing worn) to control for common method bias. Sampled from two SE Queensland public beaches during summer, 199 participants aged 18–29 years completed a questionnaire measuring perceived severity, perceived vulnerability, response efficacy, response costs, and protection motivation (PM). Personal perceived risk (similar to threat appraisal) and response likelihood (similar to coping appraisal) were derived from their respective PM components. Protection motivation predicted all four SPB criterion variables. Personal perceived risk and response likelihood predicted protection motivation. 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M.</creatorcontrib><creatorcontrib>Glendon, A. Ian</creatorcontrib><title>Predicting sun protection behaviors using protection motivation variables</title><title>Journal of behavioral medicine</title><addtitle>J Behav Med</addtitle><addtitle>J Behav Med</addtitle><description>Protection motivation theory components were used to predict sun protection behaviors (SPBs) using four outcome measures: typical reported behaviors, previous reported behaviors, current sunscreen use as determined by interview, and current observed behaviors (clothing worn) to control for common method bias. Sampled from two SE Queensland public beaches during summer, 199 participants aged 18–29 years completed a questionnaire measuring perceived severity, perceived vulnerability, response efficacy, response costs, and protection motivation (PM). Personal perceived risk (similar to threat appraisal) and response likelihood (similar to coping appraisal) were derived from their respective PM components. Protection motivation predicted all four SPB criterion variables. Personal perceived risk and response likelihood predicted protection motivation. Protection motivation completely mediated the effect of response likelihood on all four criterion variables. Alternative models are considered. 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M.</au><au>Glendon, A. Ian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predicting sun protection behaviors using protection motivation variables</atitle><jtitle>Journal of behavioral medicine</jtitle><stitle>J Behav Med</stitle><addtitle>J Behav Med</addtitle><date>2014-04-01</date><risdate>2014</risdate><volume>37</volume><issue>2</issue><spage>245</spage><epage>256</epage><pages>245-256</pages><issn>0160-7715</issn><eissn>1573-3521</eissn><coden>JBMEDD</coden><abstract>Protection motivation theory components were used to predict sun protection behaviors (SPBs) using four outcome measures: typical reported behaviors, previous reported behaviors, current sunscreen use as determined by interview, and current observed behaviors (clothing worn) to control for common method bias. Sampled from two SE Queensland public beaches during summer, 199 participants aged 18–29 years completed a questionnaire measuring perceived severity, perceived vulnerability, response efficacy, response costs, and protection motivation (PM). Personal perceived risk (similar to threat appraisal) and response likelihood (similar to coping appraisal) were derived from their respective PM components. Protection motivation predicted all four SPB criterion variables. Personal perceived risk and response likelihood predicted protection motivation. Protection motivation completely mediated the effect of response likelihood on all four criterion variables. Alternative models are considered. Strengths and limitations of the study are outlined and suggestions made for future research.</abstract><cop>Boston</cop><pub>Springer US</pub><pmid>23292546</pmid><doi>10.1007/s10865-012-9482-5</doi><tpages>12</tpages></addata></record> |
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subjects | Adolescent Adult Behavior Child development Complications and side effects Development and progression Diagnosis Family Medicine Female General Practice Health aspects Health Behavior Health Knowledge, Attitudes, Practice Health Psychology Humans Male Medical research Medicine Medicine & Public Health Melanoma Motivation Older people Patient outcomes Radiation Risk perception Skin cancer Summer Sunscreen Sunscreening Agents - therapeutic use Sunscreens Teenagers Vulnerability Young Adult Young adults |
title | Predicting sun protection behaviors using protection motivation variables |
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