Patient beliefs and behaviors about genomic risk for type 2 diabetes: implications for prevention

J Health Commun. 2015;20(6):728-35. doi: 10.1080/10810730.2015.1018563. Epub 2015 Apr 6.

Abstract

Type 2 diabetes is a major health burden in the United States, and population trends suggest this burden will increase. High interest in, and increased availability of, testing for genetic risk of type 2 diabetes presents a new opportunity for reducing type 2 diabetes risk for many patients; however, to date, there is little evidence that genetic testing positively affects type 2 diabetes prevention. Genetic information may not fit patients' illness representations, which may reduce the chances of risk-reducing behavior changes. The present study aimed to examine illness representations in a clinical sample who are at risk for type 2 diabetes and interested in genetic testing. The authors used the Common Sense Model to analyze survey responses of 409 patients with type 2 diabetes risk factors. Patients were interested in genetic testing for type 2 diabetes risk and believed in its importance. Most patients believed that genetic factors are important to developing type 2 diabetes (67%), that diet and exercise are effective in preventing type 2 diabetes (95%), and that lifestyle changes are more effective than drugs (86%). Belief in genetic causality was not related to poorer self-reported health behaviors. These results suggest that patients' interest in genetic testing for type 2 diabetes might produce a teachable moment that clinicians can use to counsel behavior change.

Publication types

  • Randomized Controlled Trial
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Adult
  • Diabetes Mellitus, Type 2 / genetics*
  • Diabetes Mellitus, Type 2 / prevention & control
  • Diet / psychology
  • Exercise / psychology
  • Female
  • Genetic Predisposition to Disease*
  • Genetic Testing*
  • Health Knowledge, Attitudes, Practice*
  • Humans
  • Male
  • Middle Aged
  • Patients / psychology*
  • Patients / statistics & numerical data