Linked Life Data

1452446

Source:http://linkedlifedata.com/resource/pubmed/id/1452446

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
1993-1-6
pubmed:abstractText
Regular screening mammograms for asymptomatic women are the most effective method for early detection of breast cancer. This study assessed the relative influence of Health Belief Model (HBM) constructs on prior mammography usage and the intention to obtain mammograms with data from a sample of 1,057 women over the age of 35 years residing in an urban community in the United States. Covariance structure analysis with latent variables was used initially to perform a confirmatory factor analysis of indicators of Socioeconomic Status (SES), Perceived Susceptibility, Perceived Barriers, Perceived Benefits, Cues to Action, Prior Mammography, and Future Intentions. Once a plausible factor structure was confirmed, a predictive path model was tested with Future Intentions and Prior Mammography as the outcome variables. Cues to Action, operationalized as a physician influence variable, particularly impacted Prior Mammography, and Perceived Susceptibility was the most powerful predictor of Future Intentions. SES only related significantly to Perceived Barriers, and Cues to Action, and did not directly influence Prior Mammography and Future Intentions. HBM predictor variables alone accounted for the relationship between previous mammography experience and intentions to obtain mammograms in the future. Health education implications and an applied outreach program are discussed.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
0195-8402
pubmed:author
pubmed:issnType
Print
pubmed:volume
19
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
447-62
pubmed:dateRevised
2007-11-14
pubmed:meshHeading
pubmed:year
1992
pubmed:articleTitle
Mammography usage and the health belief model.
pubmed:affiliation
Department of Psychology, University of California, Los Angeles 90024-1563.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S.