title: Evaluating Approaches for Communication About Genomic Influences on Body Weight.
abstract: BACKGROUND
  Developments in genomics may improve patient consultations about weight management; however, optimal approaches for these communications are unstudied.
  
  
  OBJECTIVE
  We assessed the influence of receiving generic, genomic information and of physician communication approach on overweight females in simulated clinical weight counseling interactions.
  
  
  METHODS
  Two hundred participants were randomized to receive information about genomic or behavioral underpinnings of body weight from a virtual reality-based physician who used either a supportive or directive communication approach. Participants completed post-test self-report questionnaires.
  
  
  RESULTS
  Genomic explanations for body weight led patients to perceive less blame [F (1,196) = 47.68, p < .0001] and weight stigma [F (1,196) = 5.75, p = .017] in the consultation. They did not lead to negative outcomes in physician-patient interaction or affect health behavior-related attitudes and beliefs. Physician's supportive or directive communication approach did not moderate these effects.
  
  
  CONCLUSIONS
  Integrating genomic concepts into health care has potential to positively influence the patient-provider relationship while addressing longstanding challenges in weight management. ClinicalTrials.gov number NCT01443910.
authors.affiliation: Social and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, B1B36, 31 Center Drive, Bethesda, MD, 20892, USA, perskys@mail.nih.gov.
authors.forename: Susan
authors.initials: S
authors.lastname: Persky
authors.forename: Richard L
authors.initials: RL
authors.lastname: Street
mesh_terms: D000328:Adult; D001835:Body Weight / Q000235:genetics*; D003142:Communication; D005260:Female; D005817:Genetic Counseling / Q000523:psychology*; D006801:Humans; D050177:Overweight / Q000235:genetics / Q000523:psychology; D017060:Patient Satisfaction; D010817:Physician-Patient Relations; D013240:Stereotyping; D014584:User-Computer Interface