title: Risk perceptions: assessment and relationship to influenza vaccination.
abstract: OBJECTIVE
  Accurate measurement of beliefs about risk probability is essential to determine what role these beliefs have in health behavior. This study investigated the ability of several types of risk perception measures and of other constructs from health behavior theories to predict influenza vaccination.
  
  
  METHODS
  Prospective study in which students, faculty, and staff at 3 universities (N = 428) were interviewed in the fall, before influenza vaccine was available, and again early in the next calendar year.
  
  
  METHODS
  Self-reported influenza vaccination.
  
  
  RESULTS
  Two interview questions that asked about feeling at risk and feeling vulnerable predicted subsequent behavior better (r = .44, p = .001) than 2 questions that asked for agreement or disagreement with statements about risk probability (r = .25, p = .001) or 4 questions that asked respondents to estimate the magnitude of the risk probability (r = .30, p = .001). Of the 4 perceived risk magnitude scales, a 7-point verbal scale was the best predictor of behavior. Anticipated regret was the strongest predictor of vaccination (r = .45, p = .001) of all constructs studied, including risk perceptions, worry, and perceived vaccine effectiveness.
  
  
  CONCLUSIONS
  Risk perceptions predicted subsequent vaccination. However, perceived risk phrased in terms of feelings rather than as a purely cognitive probability judgment predicted better. Because neither feeling at risk nor anticipated regret is represented in the most commonly used theories of health behavior, the data suggest that these theories are missing important constructs.
authors: Department of Human Ecology, Rutgers, State University of New Jersey, New Brunswick, NJ 08901-8520, USA. neilw@aesop.rutgers.edu
authors: Neil D
authors: ND
authors: Weinstein
authors: Abbie
authors: A
authors: Kwitel
authors: Kevin D
authors: KD
authors: McCaul
authors: Renee E
authors: RE
authors: Magnan
authors: Meg
authors: M
authors: Gerrard
authors: Frederick X
authors: FX
authors: Gibbons
mesh_terms: D000328:Adult; D005260:Female; D006801:Humans; D017589:Immunization Programs / Q000706:statistics & numerical data; D009980:Influenza A virus / Q000276:immunology; D007252:Influenza Vaccines / Q000276:immunology*; D007251:Influenza, Human / Q000276:immunology / Q000517:prevention & control*; D008297:Male; D008875:Middle Aged; D010342:Patient Acceptance of Health Care; D011446:Prospective Studies; D018570:Risk Assessment; D011795:Surveys and Questionnaires; D014481:United States
chemical_list: D007252:Influenza Vaccines