Testing Explanations for Skepticism of Personalized Risk Information.

ABSTRACT:

Background

The promise of precision medicine could be stymied if people do not accept the legitimacy of personalized risk information. We tested 4 explanations for skepticism of personalized diabetes risk information.

Method

We recruited participants (N = 356; M_age = 48.6 [s = 9.8], 85.1% women, 59.0% non-Hispanic white) from community locations (e.g., barbershops, churches) for a risk communication intervention. Participants received personalized information about their risk of developing diabetes and heart disease, stroke, colon cancer, and/or breast cancer (women). Then they completed survey items. We combined 2 items (recalled risk, perceived risk) to create a trichotomous risk skepticism variable (acceptance, overestimation, underestimati

SUBMITTER: Waters EA 

PROVIDER: S-EPMC10164692 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature