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Can the Capabilities, Opportunities and Motivations Model Predict Health Behavior 1 Year Later?
Objective: The capabilities (C), opportunities (O) and motivations (M) model of behavior (B) change (COM-B) is designed to capture the key features of numerous models of behavior change, but little is known about its predictive validity. The present study tests the predictive validity of COM-B prosp...
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Published in: | Health psychology 2023-04, Vol.42 (4), p.270-275 |
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container_title | Health psychology |
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creator | Armitage, Christopher J. Munro, Kevin J. |
description | Objective: The capabilities (C), opportunities (O) and motivations (M) model of behavior (B) change (COM-B) is designed to capture the key features of numerous models of behavior change, but little is known about its predictive validity. The present study tests the predictive validity of COM-B prospectively in the domain of attending hearing screening. Method: 6,000 adults, representative of the U.K. population (e.g., 52.6% women) who one year earlier had reported COM with respect to attending hearing screening, were contacted again to complete an online survey with respect to their actual attendance. Data were analyzed descriptively, and with logistic regression to examine the influence of sociodemographic variables and COM on attendance at hearing screening. Results: Respondents reported being highly capable of attending hearing screening (Ms > 7.98 on a 0-10 scale), but much lower levels of automatic (M = 4.21 on a 0-10 scale) and reflective (M = 5.21 on a 0-10 scale) motivations. Logistic regression analyses showed that men and older people were more likely to have their hearing checked but that hearing difficulty was the dominant determinant of attending hearing screening. Controlling for these sociodemographic and clinical variables, opportunities and motivations (but not capabilities) were also significantly associated with behavior. Conclusions: The COM-B model was predictive of attending hearing screening over a one-year period, which potentially makes it valuable for understanding health behavior change. Interventions for improving uptake in hearing screening that goes beyond increasing knowledge and skills (capabilities) are required to increase attendance at hearing screening. |
doi_str_mv | 10.1037/hea0001269 |
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The present study tests the predictive validity of COM-B prospectively in the domain of attending hearing screening. Method: 6,000 adults, representative of the U.K. population (e.g., 52.6% women) who one year earlier had reported COM with respect to attending hearing screening, were contacted again to complete an online survey with respect to their actual attendance. Data were analyzed descriptively, and with logistic regression to examine the influence of sociodemographic variables and COM on attendance at hearing screening. Results: Respondents reported being highly capable of attending hearing screening (Ms > 7.98 on a 0-10 scale), but much lower levels of automatic (M = 4.21 on a 0-10 scale) and reflective (M = 5.21 on a 0-10 scale) motivations. Logistic regression analyses showed that men and older people were more likely to have their hearing checked but that hearing difficulty was the dominant determinant of attending hearing screening. Controlling for these sociodemographic and clinical variables, opportunities and motivations (but not capabilities) were also significantly associated with behavior. Conclusions: The COM-B model was predictive of attending hearing screening over a one-year period, which potentially makes it valuable for understanding health behavior change. Interventions for improving uptake in hearing screening that goes beyond increasing knowledge and skills (capabilities) are required to increase attendance at hearing screening.</description><identifier>ISSN: 0278-6133</identifier><identifier>EISSN: 1930-7810</identifier><identifier>DOI: 10.1037/hea0001269</identifier><identifier>PMID: 37023327</identifier><language>eng</language><publisher>United States: American Psychological Association</publisher><subject>Adult ; Aged ; Attendance ; Auditory Acuity ; Behavior Change ; Clinical assessment ; Clinical variables ; Female ; Health Behavior ; Hearing ; Human ; Humans ; Logistic Models ; Male ; Medical screening ; Motivation ; Older people ; Predictive Validity ; Regression analysis ; Sociodemographics ; Speech and Hearing Measures ; Surveys and Questionnaires ; Uptake ; Women</subject><ispartof>Health psychology, 2023-04, Vol.42 (4), p.270-275</ispartof><rights>2023 American Psychological Association</rights><rights>2023, American Psychological Association</rights><rights>Copyright American Psychological Association Apr 2023</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a379t-ab22355c4c8b0a7c3c3d34dc9a63c49080ab43971faf3f59a45b2646049f09f93</citedby><orcidid>0000-0003-2365-1765</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925,30999</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37023327$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Ruiz, John M</contributor><creatorcontrib>Armitage, Christopher J.</creatorcontrib><creatorcontrib>Munro, Kevin J.</creatorcontrib><title>Can the Capabilities, Opportunities and Motivations Model Predict Health Behavior 1 Year Later?</title><title>Health psychology</title><addtitle>Health Psychol</addtitle><description>Objective: The capabilities (C), opportunities (O) and motivations (M) model of behavior (B) change (COM-B) is designed to capture the key features of numerous models of behavior change, but little is known about its predictive validity. The present study tests the predictive validity of COM-B prospectively in the domain of attending hearing screening. Method: 6,000 adults, representative of the U.K. population (e.g., 52.6% women) who one year earlier had reported COM with respect to attending hearing screening, were contacted again to complete an online survey with respect to their actual attendance. Data were analyzed descriptively, and with logistic regression to examine the influence of sociodemographic variables and COM on attendance at hearing screening. Results: Respondents reported being highly capable of attending hearing screening (Ms > 7.98 on a 0-10 scale), but much lower levels of automatic (M = 4.21 on a 0-10 scale) and reflective (M = 5.21 on a 0-10 scale) motivations. Logistic regression analyses showed that men and older people were more likely to have their hearing checked but that hearing difficulty was the dominant determinant of attending hearing screening. Controlling for these sociodemographic and clinical variables, opportunities and motivations (but not capabilities) were also significantly associated with behavior. Conclusions: The COM-B model was predictive of attending hearing screening over a one-year period, which potentially makes it valuable for understanding health behavior change. Interventions for improving uptake in hearing screening that goes beyond increasing knowledge and skills (capabilities) are required to increase attendance at hearing screening.</description><subject>Adult</subject><subject>Aged</subject><subject>Attendance</subject><subject>Auditory Acuity</subject><subject>Behavior Change</subject><subject>Clinical assessment</subject><subject>Clinical variables</subject><subject>Female</subject><subject>Health Behavior</subject><subject>Hearing</subject><subject>Human</subject><subject>Humans</subject><subject>Logistic Models</subject><subject>Male</subject><subject>Medical screening</subject><subject>Motivation</subject><subject>Older people</subject><subject>Predictive Validity</subject><subject>Regression analysis</subject><subject>Sociodemographics</subject><subject>Speech and Hearing Measures</subject><subject>Surveys and Questionnaires</subject><subject>Uptake</subject><subject>Women</subject><issn>0278-6133</issn><issn>1930-7810</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>7QJ</sourceid><recordid>eNqF0c9rFDEUB_AgFrtWL_4BEvAitqNJXjKZnEQX-wO21IMePIU3mQybMjszJplC_3uzbrXgxdN7Dz58efAl5BVn7zkD_WHrkTHGRW2ekBU3wCrdcPaUrJjQTVVzgGPyPKXbgoRR6hk5Bs0EgNArYtc40rz1dI0ztmEIOfh0Rm_meYp5GX-fFMeOXk853GEO05jK3vmBfo2-Cy7TS49D3tLPfot3YYqU0x8eI91g9vHjC3LU45D8y4d5Qr6ff_m2vqw2NxdX60-bCkGbXGErBCjlpGtahtqBgw5k5wzW4KRhDcNWgtG8xx56ZVCqVtSyZtL0zPQGTsjbQ-4cp5-LT9nuQnJ-GHD005Ks0KbRXBmjCn3zD72dljiW7_bKCCGMlv9RtRLAJS_q3UG5OKUUfW_nGHYY7y1ndl-OfSyn4NcPkUu7891f-qeNAk4PoHRh53TvMObgBp_cEqMf8z7MSmFleYHBL64blr0</recordid><startdate>20230401</startdate><enddate>20230401</enddate><creator>Armitage, Christopher J.</creator><creator>Munro, Kevin J.</creator><general>American Psychological Association</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>7RZ</scope><scope>PSYQQ</scope><scope>7QJ</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-2365-1765</orcidid></search><sort><creationdate>20230401</creationdate><title>Can the Capabilities, Opportunities and Motivations Model Predict Health Behavior 1 Year Later?</title><author>Armitage, Christopher J. ; Munro, Kevin J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a379t-ab22355c4c8b0a7c3c3d34dc9a63c49080ab43971faf3f59a45b2646049f09f93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Attendance</topic><topic>Auditory Acuity</topic><topic>Behavior Change</topic><topic>Clinical assessment</topic><topic>Clinical variables</topic><topic>Female</topic><topic>Health Behavior</topic><topic>Hearing</topic><topic>Human</topic><topic>Humans</topic><topic>Logistic Models</topic><topic>Male</topic><topic>Medical screening</topic><topic>Motivation</topic><topic>Older people</topic><topic>Predictive Validity</topic><topic>Regression analysis</topic><topic>Sociodemographics</topic><topic>Speech and Hearing Measures</topic><topic>Surveys and Questionnaires</topic><topic>Uptake</topic><topic>Women</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Armitage, Christopher J.</creatorcontrib><creatorcontrib>Munro, Kevin J.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>APA PsycArticles®</collection><collection>ProQuest One Psychology</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>MEDLINE - Academic</collection><jtitle>Health psychology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Armitage, Christopher J.</au><au>Munro, Kevin J.</au><au>Ruiz, John M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Can the Capabilities, Opportunities and Motivations Model Predict Health Behavior 1 Year Later?</atitle><jtitle>Health psychology</jtitle><addtitle>Health Psychol</addtitle><date>2023-04-01</date><risdate>2023</risdate><volume>42</volume><issue>4</issue><spage>270</spage><epage>275</epage><pages>270-275</pages><issn>0278-6133</issn><eissn>1930-7810</eissn><abstract>Objective: The capabilities (C), opportunities (O) and motivations (M) model of behavior (B) change (COM-B) is designed to capture the key features of numerous models of behavior change, but little is known about its predictive validity. The present study tests the predictive validity of COM-B prospectively in the domain of attending hearing screening. Method: 6,000 adults, representative of the U.K. population (e.g., 52.6% women) who one year earlier had reported COM with respect to attending hearing screening, were contacted again to complete an online survey with respect to their actual attendance. Data were analyzed descriptively, and with logistic regression to examine the influence of sociodemographic variables and COM on attendance at hearing screening. Results: Respondents reported being highly capable of attending hearing screening (Ms > 7.98 on a 0-10 scale), but much lower levels of automatic (M = 4.21 on a 0-10 scale) and reflective (M = 5.21 on a 0-10 scale) motivations. Logistic regression analyses showed that men and older people were more likely to have their hearing checked but that hearing difficulty was the dominant determinant of attending hearing screening. Controlling for these sociodemographic and clinical variables, opportunities and motivations (but not capabilities) were also significantly associated with behavior. Conclusions: The COM-B model was predictive of attending hearing screening over a one-year period, which potentially makes it valuable for understanding health behavior change. Interventions for improving uptake in hearing screening that goes beyond increasing knowledge and skills (capabilities) are required to increase attendance at hearing screening.</abstract><cop>United States</cop><pub>American Psychological Association</pub><pmid>37023327</pmid><doi>10.1037/hea0001269</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0003-2365-1765</orcidid></addata></record> |
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source | Applied Social Sciences Index & Abstracts (ASSIA); PsycARTICLES |
subjects | Adult Aged Attendance Auditory Acuity Behavior Change Clinical assessment Clinical variables Female Health Behavior Hearing Human Humans Logistic Models Male Medical screening Motivation Older people Predictive Validity Regression analysis Sociodemographics Speech and Hearing Measures Surveys and Questionnaires Uptake Women |
title | Can the Capabilities, Opportunities and Motivations Model Predict Health Behavior 1 Year Later? |
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