Display Settings:

Format

Send to:

Choose Destination
See comment in PubMed Commons below
Prev Med. 2000 Feb;30(2):155-66.

Likelihood of undergoing genetic testing for cancer risk: a population-based study.

Author information

  • 1Department of Medical Biostatistics, University of Vermont, Burlington,Vermont 05405, USA. kwadwo.bosompra@uvm.edu

Abstract

BACKGROUND:

Studies on public perceptions of genetic susceptibility testing for cancer risks are few and tend to focus on specific cancer risks of higher-risk populations, ignoring the general population and their perceived risk of getting any cancers. This study develops and tests a psychosocial model of the proximal and distal influences on likelihood of undergoing genetic susceptibility testing for cancer risk among a population-based sample.

METHODS:

The sample consisted of 622 adults aged 18-75 interviewed by telephone. The survey instrument included measures derived from the Health Belief Model and adaptations of existing measures from the literature. Data were analyzed using structural equation modeling techniques.

RESULTS:

The model suggested independent main effects for perceived benefits, perceived barriers, perceived susceptibility, and pessimism while simultaneously accounting for the effects of age, socioeconomic status, family history of cancer, and awareness of the existence of genetic susceptibility testing for cancer risk. The model explained 34% of the variance in likelihood.

CONCLUSIONS:

While perceived benefits, perceived barriers, perceived susceptibility, and pessimism may directly impact likelihood, they may also mediate the effects of age, socioeconomic status, family history of cancer, and awareness of cancer genetic susceptibility testing, on likelihood.

Copyright 2000 American Health Foundation and Academic Press.

PMID:
10656843
[PubMed - indexed for MEDLINE]
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for Elsevier Science
    Loading ...
    Write to the Help Desk