One does not fit all: Health audience segmentation and prediction of health behaviors in cancer prevention
The purpose of this study is to propose a health belief model-based approach to segmenting health audiences in order to improve targeting of cancer prevention efforts. This study also examines how the identified health segments differ in cancer prevention behaviors. Using data from the 2013 Health I...
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| Veröffentlicht in: | Health marketing quarterly 2017-07, Vol.34 (3), p.202-216 |
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| container_end_page | 216 |
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| container_title | Health marketing quarterly |
| container_volume | 34 |
| creator | Chon, Myoung-Gi Park, Hyojung |
| description | The purpose of this study is to propose a health belief model-based approach to segmenting health audiences in order to improve targeting of cancer prevention efforts. This study also examines how the identified health segments differ in cancer prevention behaviors. Using data from the 2013 Health Information National Trends Survey, a cluster analysis resulted in three distinct health audience groups: (a) health aware, (b) health at risk, and (c) health in confidence. MANOVA tests indicate that these segments differ significantly regarding healthy diet and exercise. The findings inform cancer prevention campaigns targeting priority audiences. |
| doi_str_mv | 10.1080/07359683.2017.1346434 |
| format | Article |
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The findings inform cancer prevention campaigns targeting priority audiences.</description><subject>Adult</subject><subject>Aged</subject><subject>Audience segmentation</subject><subject>cancer prevention behaviors</subject><subject>cluster analysis</subject><subject>Demography - methods</subject><subject>Exercise</subject><subject>Female</subject><subject>Health administration</subject><subject>Health Behavior</subject><subject>health belief model</subject><subject>Health Knowledge, Attitudes, Practice</subject><subject>Healthy Diet</subject><subject>Humans</subject><subject>Life Style</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Neoplasms - prevention & control</subject><subject>Neoplasms - psychology</subject><subject>Surveys and Questionnaires</subject><issn>0735-9683</issn><issn>1545-0864</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kMtO4zAUQC3ECMrjE0BesknHzzRhBapmBiSkbmbWlh_X1Cixi52C-PtJaMuS1dWVzrlXOghdUTKnpCE_yYLLtm74nBG6mFMuasHFEZpRKWRFmloco9nEVBN0is5KeSGEMl6TE3TKmgURVLYz9LKKgF2CgmMasA8D1l13ix9Ad8Ma660LEC3gAs89xEEPIUWso8ObDC7YzzV5vN7hBtb6LaRccIjY6lHME_g2miN4gX543RW43M9z9O_3r7_Lh-pp9edxef9UWU75ULWmpoQCEbXlBpy2xhvTAHOGeW-tbBkRhtegwYuWNVJyK4WWzBhBqYOWn6Ob3d1NTq9bKIPqQ7HQdTpC2hZFWybZoq0JG1G5Q21OpWTwapNDr_OHokRNmdUhs5oyq33m0bvev9iaHtyXdeg6Anc7IESfcq_fU-6cGvRHl7LPY5lQFP_-x3_eH43t</recordid><startdate>20170703</startdate><enddate>20170703</enddate><creator>Chon, Myoung-Gi</creator><creator>Park, Hyojung</creator><general>Routledge</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>7X8</scope></search><sort><creationdate>20170703</creationdate><title>One does not fit all: Health audience segmentation and prediction of health behaviors in cancer prevention</title><author>Chon, Myoung-Gi ; Park, Hyojung</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c313t-9b6101e046c3bedacbfbb8e2db2ffcc59204b36eaef4928553c54a52bb411de93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Audience segmentation</topic><topic>cancer prevention behaviors</topic><topic>cluster analysis</topic><topic>Demography - methods</topic><topic>Exercise</topic><topic>Female</topic><topic>Health administration</topic><topic>Health Behavior</topic><topic>health belief model</topic><topic>Health Knowledge, Attitudes, Practice</topic><topic>Healthy Diet</topic><topic>Humans</topic><topic>Life Style</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Neoplasms - prevention & control</topic><topic>Neoplasms - psychology</topic><topic>Surveys and Questionnaires</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chon, Myoung-Gi</creatorcontrib><creatorcontrib>Park, Hyojung</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Health marketing quarterly</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chon, Myoung-Gi</au><au>Park, Hyojung</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>One does not fit all: Health audience segmentation and prediction of health behaviors in cancer prevention</atitle><jtitle>Health marketing quarterly</jtitle><addtitle>Health Mark Q</addtitle><date>2017-07-03</date><risdate>2017</risdate><volume>34</volume><issue>3</issue><spage>202</spage><epage>216</epage><pages>202-216</pages><issn>0735-9683</issn><eissn>1545-0864</eissn><abstract>The purpose of this study is to propose a health belief model-based approach to segmenting health audiences in order to improve targeting of cancer prevention efforts. 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| ispartof | Health marketing quarterly, 2017-07, Vol.34 (3), p.202-216 |
| issn | 0735-9683 1545-0864 |
| language | eng |
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| source | MEDLINE; EBSCOhost Business Source Complete |
| subjects | Adult Aged Audience segmentation cancer prevention behaviors cluster analysis Demography - methods Exercise Female Health administration Health Behavior health belief model Health Knowledge, Attitudes, Practice Healthy Diet Humans Life Style Male Middle Aged Neoplasms - prevention & control Neoplasms - psychology Surveys and Questionnaires |
| title | One does not fit all: Health audience segmentation and prediction of health behaviors in cancer prevention |
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