Linked Life Data

17365354

Source:http://linkedlifedata.com/resource/pubmed/id/17365354

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2007-3-16
pubmed:abstractText
The purpose of this research is to contrast a traditional audience segmentation model that uses demographics and health evaluations against a model that uses these same variables plus media usage variables. The goal was to determine whether media usage variables - typically not used in health segmentation studies - add predictive power in determining health behaviors and attitudes. The results of the analysis showed an increase in the ability to predict health behaviors such as aspirin use, vitamin use, diet, and exercise, and suggest that there is predictive value for including media variables as part of the segmentation process. Implications for public health education and campaign planning are discussed.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
T
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
1081-0730
pubmed:author
pubmed:issnType
Print
pubmed:volume
12
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
105-19
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
Media usage as health segmentation variables.
pubmed:affiliation
Strategic Communication, School of Journalism, University of Missouri-Columbia, Columbia, Missouri 65203, USA. Srodgers@missouri.edu
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't, Research Support, N.I.H., Extramural