Reacting to genetic risk: an experimental survey of life between health and disease

J Health Soc Behav. 2014 Dec;55(4):482-503. doi: 10.1177/0022146514555982.

Abstract

Medical sociologists contend that we are living in an era of surveillance medicine, in which the emphasis on risk blurs the lines between health and disease. Yet, data to examine these claims are generally drawn from patients, raising questions about whether this modern experience of medical risk extends beyond the clinic to healthy people in the larger population. We use the specific case of genetic risk to construct a survey experiment designed to induce the conditions theorized by surveillance medicine. Each respondent in a nationally representative sample (N = 2,100) was assigned a genetic risk (20%, 30% . . . 80%) for a disease (colon cancer, heart disease, Alzheimer's disease) and asked about many potential reactions. We find that people in the general population-regardless of health status or family history-respond to hypothetical genetic risk information by wanting to take action, and their reactions are stronger in domains related to self and family than to community and polity.

Keywords: genetic testing; risk; surveillance medicine; survey experiment.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Alzheimer Disease / genetics
  • Alzheimer Disease / prevention & control
  • Alzheimer Disease / psychology
  • Attitude to Health*
  • Colonic Neoplasms / genetics
  • Colonic Neoplasms / prevention & control
  • Colonic Neoplasms / psychology
  • Data Collection
  • Female
  • Genetic Predisposition to Disease / prevention & control
  • Genetic Predisposition to Disease / psychology*
  • Genetic Testing / methods
  • Genetic Testing / trends*
  • Heart Diseases / genetics
  • Heart Diseases / prevention & control
  • Heart Diseases / psychology
  • Humans
  • Male
  • Middle Aged
  • Odds Ratio
  • Population Surveillance / methods*
  • Primary Prevention / methods
  • Primary Prevention / trends
  • Risk Assessment / statistics & numerical data
  • United States