Predicting college students’ COVID-19 vaccination behavior: an application of the extended parallel process model
The two studies reported in the paper examined (1) the extended parallel process model’s (EPPM; Witte 1992) ability to predict and explain college students’ COVID-19 vaccination behavior, and (2) the EPPM-related reasons for college students’ COVID-19 vaccine hesitancy. Study 1 was a longitudinal st...
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| Veröffentlicht in: | Journal of behavioral medicine 2023-04, Vol.46 (1-2), p.76-87 |
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| creator | Roberto, Anthony J. Zhou, Xin |
| description | The two studies reported in the paper examined (1) the extended parallel process model’s (EPPM; Witte 1992) ability to predict and explain college students’ COVID-19 vaccination behavior, and (2) the EPPM-related reasons for college students’ COVID-19 vaccine hesitancy. Study 1 was a longitudinal study that measured the EPPM constructs at Time 1 and COVID-19 vaccine behavior two months later at Time 2. For danger control, results indicate that perceived threat and perceived efficacy positively predicted intentions and that intentions positively predicted behavior. For fear control, results indicate that perceived threat positively predicted fear, that perceived efficacy did not predict fear, and that fear negatively predicted defensive avoidance, reactance, and fatalism. Study 2 was a cross-sectional survey that assessed EPPM-related reasons for vaccine hesitancy. Results indicate that the main reasons for vaccine hesitancy were related to response efficacy (i.e., participants were concerned about the safety and effectiveness of the vaccine). The theoretical and practical implications of these results are discussed. |
| doi_str_mv | 10.1007/s10865-022-00330-5 |
| format | Article |
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Study 1 was a longitudinal study that measured the EPPM constructs at Time 1 and COVID-19 vaccine behavior two months later at Time 2. For danger control, results indicate that perceived threat and perceived efficacy positively predicted intentions and that intentions positively predicted behavior. For fear control, results indicate that perceived threat positively predicted fear, that perceived efficacy did not predict fear, and that fear negatively predicted defensive avoidance, reactance, and fatalism. Study 2 was a cross-sectional survey that assessed EPPM-related reasons for vaccine hesitancy. Results indicate that the main reasons for vaccine hesitancy were related to response efficacy (i.e., participants were concerned about the safety and effectiveness of the vaccine). The theoretical and practical implications of these results are discussed.</description><identifier>ISSN: 0160-7715</identifier><identifier>EISSN: 1573-3521</identifier><identifier>DOI: 10.1007/s10865-022-00330-5</identifier><identifier>PMID: 35680767</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Avoidance behavior ; Behavior ; Beliefs, opinions and attitudes ; College students ; Coronaviruses ; COVID-19 ; COVID-19 - prevention & control ; COVID-19 Vaccines ; Cross-Sectional Studies ; Efficacy ; Family Medicine ; Fatalism ; Fear ; Fear & phobias ; General Practice ; Health aspects ; Health Psychology ; Humans ; Immunization ; Longitudinal Studies ; Medicine ; Medicine & Public Health ; Perceived control ; Students ; Threats ; Vaccination</subject><ispartof>Journal of behavioral medicine, 2023-04, Vol.46 (1-2), p.76-87</ispartof><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022</rights><rights>2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.</rights><rights>COPYRIGHT 2023 Springer</rights><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c579t-bbe57c944bad7e9b175360676a4f7765d89a453e34d19a6f68b6c260c4593d1a3</citedby><cites>FETCH-LOGICAL-c579t-bbe57c944bad7e9b175360676a4f7765d89a453e34d19a6f68b6c260c4593d1a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10865-022-00330-5$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10865-022-00330-5$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,776,780,881,12827,27903,27904,30978,41467,42536,51297</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35680767$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Roberto, Anthony J.</creatorcontrib><creatorcontrib>Zhou, Xin</creatorcontrib><title>Predicting college students’ COVID-19 vaccination behavior: an application of the extended parallel process model</title><title>Journal of behavioral medicine</title><addtitle>J Behav Med</addtitle><addtitle>J Behav Med</addtitle><description>The two studies reported in the paper examined (1) the extended parallel process model’s (EPPM; Witte 1992) ability to predict and explain college students’ COVID-19 vaccination behavior, and (2) the EPPM-related reasons for college students’ COVID-19 vaccine hesitancy. Study 1 was a longitudinal study that measured the EPPM constructs at Time 1 and COVID-19 vaccine behavior two months later at Time 2. For danger control, results indicate that perceived threat and perceived efficacy positively predicted intentions and that intentions positively predicted behavior. For fear control, results indicate that perceived threat positively predicted fear, that perceived efficacy did not predict fear, and that fear negatively predicted defensive avoidance, reactance, and fatalism. Study 2 was a cross-sectional survey that assessed EPPM-related reasons for vaccine hesitancy. Results indicate that the main reasons for vaccine hesitancy were related to response efficacy (i.e., participants were concerned about the safety and effectiveness of the vaccine). The theoretical and practical implications of these results are discussed.</description><subject>Avoidance behavior</subject><subject>Behavior</subject><subject>Beliefs, opinions and attitudes</subject><subject>College students</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>COVID-19 - prevention & control</subject><subject>COVID-19 Vaccines</subject><subject>Cross-Sectional Studies</subject><subject>Efficacy</subject><subject>Family Medicine</subject><subject>Fatalism</subject><subject>Fear</subject><subject>Fear & phobias</subject><subject>General Practice</subject><subject>Health aspects</subject><subject>Health Psychology</subject><subject>Humans</subject><subject>Immunization</subject><subject>Longitudinal Studies</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Perceived control</subject><subject>Students</subject><subject>Threats</subject><subject>Vaccination</subject><issn>0160-7715</issn><issn>1573-3521</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7QJ</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp9kstu1DAUhiMEokPhBVggS2y6SbHj2I5ZIFXDrVKlsgC2lmOfZFxl7GAnI9jxGrweT4KHlJaiEfbCks93_nPRXxRPCT4lGIsXieCGsxJXVYkxpbhk94oVYYKWlFXkfrHChONSCMKOikcpXWGMuazlw-KIMt5gwcWqSB8iWGcm53tkwjBADyhNswU_pZ_ff6D15efz1yWRaKeNcV5PLnjUwkbvXIgvkfZIj-PgzBIIHZo2gODrBN6CRaOOOmsOaIzBQEpoGywMj4sHnR4SPLl-j4tPb998XL8vLy7fna_PLkrDhJzKtgUmjKzrVlsBsiWCUY654LruhODMNlLXjAKtLZGad7xpuak4NjWT1BJNj4tXi-44t1uwJs-U21FjdFsdv6mgnbob8W6j-rBTkjREUpIFTq4FYvgyQ5rU1iUDw6A9hDmpiguWO6opy-jzf9CrMEefx1OVkDyfjN5SvR5AOd-FXNfsRdWZqGtOGOf7suUBqgcPucngoXP5-w5_eoDP18LWmYMJ1ZJgYkgpQnezE4LV3lpqsZbK1lK_raX2Ez77e5s3KX-8lAG6ACmHfA_xdgX_kf0FpPDZcg</recordid><startdate>20230401</startdate><enddate>20230401</enddate><creator>Roberto, Anthony J.</creator><creator>Zhou, Xin</creator><general>Springer US</general><general>Springer</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>3V.</scope><scope>7QJ</scope><scope>7RV</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HEHIP</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M2O</scope><scope>M2S</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20230401</creationdate><title>Predicting college students’ COVID-19 vaccination behavior: an application of the extended parallel process model</title><author>Roberto, Anthony J. ; Zhou, Xin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c579t-bbe57c944bad7e9b175360676a4f7765d89a453e34d19a6f68b6c260c4593d1a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Avoidance behavior</topic><topic>Behavior</topic><topic>Beliefs, opinions and attitudes</topic><topic>College students</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>COVID-19 - prevention & control</topic><topic>COVID-19 Vaccines</topic><topic>Cross-Sectional Studies</topic><topic>Efficacy</topic><topic>Family Medicine</topic><topic>Fatalism</topic><topic>Fear</topic><topic>Fear & phobias</topic><topic>General Practice</topic><topic>Health aspects</topic><topic>Health Psychology</topic><topic>Humans</topic><topic>Immunization</topic><topic>Longitudinal Studies</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Perceived control</topic><topic>Students</topic><topic>Threats</topic><topic>Vaccination</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Roberto, Anthony J.</creatorcontrib><creatorcontrib>Zhou, Xin</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>Sociology Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Psychology</collection><collection>Research Library</collection><collection>Sociology Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of behavioral medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Roberto, Anthony J.</au><au>Zhou, Xin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predicting college students’ COVID-19 vaccination behavior: an application of the extended parallel process model</atitle><jtitle>Journal of behavioral medicine</jtitle><stitle>J Behav Med</stitle><addtitle>J Behav Med</addtitle><date>2023-04-01</date><risdate>2023</risdate><volume>46</volume><issue>1-2</issue><spage>76</spage><epage>87</epage><pages>76-87</pages><issn>0160-7715</issn><eissn>1573-3521</eissn><abstract>The two studies reported in the paper examined (1) the extended parallel process model’s (EPPM; Witte 1992) ability to predict and explain college students’ COVID-19 vaccination behavior, and (2) the EPPM-related reasons for college students’ COVID-19 vaccine hesitancy. Study 1 was a longitudinal study that measured the EPPM constructs at Time 1 and COVID-19 vaccine behavior two months later at Time 2. For danger control, results indicate that perceived threat and perceived efficacy positively predicted intentions and that intentions positively predicted behavior. For fear control, results indicate that perceived threat positively predicted fear, that perceived efficacy did not predict fear, and that fear negatively predicted defensive avoidance, reactance, and fatalism. Study 2 was a cross-sectional survey that assessed EPPM-related reasons for vaccine hesitancy. Results indicate that the main reasons for vaccine hesitancy were related to response efficacy (i.e., participants were concerned about the safety and effectiveness of the vaccine). The theoretical and practical implications of these results are discussed.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>35680767</pmid><doi>10.1007/s10865-022-00330-5</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Journal of behavioral medicine, 2023-04, Vol.46 (1-2), p.76-87 |
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| source | Applied Social Sciences Index & Abstracts (ASSIA); MEDLINE; SpringerLink Journals |
| subjects | Avoidance behavior Behavior Beliefs, opinions and attitudes College students Coronaviruses COVID-19 COVID-19 - prevention & control COVID-19 Vaccines Cross-Sectional Studies Efficacy Family Medicine Fatalism Fear Fear & phobias General Practice Health aspects Health Psychology Humans Immunization Longitudinal Studies Medicine Medicine & Public Health Perceived control Students Threats Vaccination |
| title | Predicting college students’ COVID-19 vaccination behavior: an application of the extended parallel process model |
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