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

Background. Studies on public perceptions of genetic susceptibility testing for cancer risks are few and tend to focus on specific cancer risks of hig her-risk populations, ignoring the general population and their perceived r isk of getting any cancers. This study develops and tests a psychosocial mo del of the proximal and distal influences on likelihood of undergoing genet ic susceptibility testing for cancer risk among a population-based sample. Methods. The sample consisted of 622 adults aged 18-75 interviewed by telep hone. The survey instrument included measures derived from the Health Belie f 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 benefit s, perceived barriers, perceived susceptibility, and pessimism while simult aneously accounting for the effects of age, socioeconomic status, family hi story of cancer, and awareness of the existence of genetic susceptibility t esting for cancer risk. The model explained 34% of the variance in likeliho od. Conclusions. While perceived benefits, perceived barriers, perceived suscep tibility, and pessimism may directly impact likelihood, they may also media te the effects of age, socioeconomic status, family history of cancer, and awareness of cancer genetic susceptibility testing, on likelihood. (C) 2000 American Health Foundation and Academic Press.