Literature DB >> 15521978

Health motivation and emotional vigilance in genetic testing for prostate cancer risk.

Y Li1, D J Doukas.   

Abstract

Actual uptake of genetic testing for cancer susceptibility is generally lower than 50%, despite a high initial interest above 80%. As population-based genetic testing for cancer susceptibility becomes more widespread, there will be an increasing need to understand the relationship of patient-affective factors to test intention and actual uptake behavior. Using hypothetical genetic testing for prostate cancer susceptibility as an example, we used surveys of 400 men in the general population of Philadelphia to develop a Structural Equation Modeling diagram to reveal the influence of affective factors implicated in the intention to undergo genetic testing for prostate cancer risk. Results showed that most men want genetic testing for prostate cancer, believe strongly in its benefits, and are not deterred by negative affect. Our data suggest that high positive expectations, plus a high desire to comply with physician and family suggestions, result in an increased test intention. Informed consent assessment, therefore, requires an appreciation not only of patient risk, but awareness of patient motivation and affect as well.

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Year:  2004        PMID: 15521978     DOI: 10.1111/j.1399-0004.2004.00351.x

Source DB:  PubMed          Journal:  Clin Genet        ISSN: 0009-9163            Impact factor:   4.438


  3 in total

1.  Prostate cancer screening among chinese american men: a structural model.

Authors:  Grace X Ma; Steven E Shive; Wanzhen Gao; Yin Tan; Min Qi Wang
Journal:  Am J Health Behav       Date:  2012-07

2.  Men's values-based factors on prostate cancer risk genetic testing: a telephone survey.

Authors:  David J Doukas; Yuelin Li
Journal:  BMC Med Genet       Date:  2004-12-10       Impact factor: 2.103

3.  Interest in genetic testing among affected men from hereditary prostate cancer families and their unaffected male relatives.

Authors:  Julie N Harris; Deborah J Bowen; Alan Kuniyuki; Laura McIntosh; Liesel M FitzGerald; Elaine A Ostrander; Janet L Stanford
Journal:  Genet Med       Date:  2009-05       Impact factor: 8.822

  3 in total

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