title: Predictors of attendance in the United Kingdom flexible sigmoidoscopy screening trial.
abstract: OBJECTIVE
  To investigate predictors of attendance in the United Kingdom flexible sigmoidoscopy screening trial.
  
  
  METHODS
  Prospective design in which participants completed a postal questionnaire before being sent their invitation for screening.
  
  
  METHODS
  Welwyn Garden City and Leicester, United Kingdom.
  
  
  METHODS
  A total of 2758 patients aged 55 to 64, registered with general practices in the two centres, who (a) expressed interest in having the screening test, (b) completed a postal questionnaire, and (c) were subsequently invited for screening.
  
  
  RESULTS
  The attendance rate among questionnaire responders was 76.1%. Multiple logistic regression analysis yielded a final model that included nine independent predictors of attendance. Patients with the following characteristics were more likely to attend: men; home owners; non-smokers; those who had regular check ups at the dentist; those with better subjective health; those who minded less about having medical tests; those who said they would definitely rather than probably take up the offer of sigmoidoscopy screening; and those who perceived less barriers and more benefits to having the test.
  
  
  CONCLUSIONS
  The findings are broadly consistent with previous studies of screening participation, although subjective health emerged as an important predictor in this study. There was no evidence for "reverse targeting": attenders were not at lower (or higher) risk for colorectal cancer compared with non-attenders. The findings relating to attitudes and beliefs could be used in efforts to improve attendance, for example by developing information leaflets that address barriers to screening. Other findings could be used to target interventions to subgroups that have relatively low rates of screening participation.
authors.affiliation: Dept Epidemiology & Public Health, University College London. s.sutton@ucl.ac.uk
authors.forename: S
authors.initials: S
authors.lastname: Sutton
authors.forename: J
authors.initials: J
authors.lastname: Wardle
authors.forename: T
authors.initials: T
authors.lastname: Taylor
authors.forename: K
authors.initials: K
authors.lastname: McCaffery
authors.forename: S
authors.initials: S
authors.lastname: Williamson
authors.forename: R
authors.initials: R
authors.lastname: Edwards
authors.forename: J
authors.initials: J
authors.lastname: Cuzick
authors.forename: A
authors.initials: A
authors.lastname: Hart
authors.forename: J
authors.initials: J
authors.lastname: Northover
authors.forename: W
authors.initials: W
authors.lastname: Atkin
mesh_terms: D000367:Age Factors; D000368:Aged; D003110:Colonic Neoplasms / Q000175:diagnosis* / Q000517:prevention & control*; D003710:Demography; D005194:Family Practice; D005260:Female; D015438:Health Behavior; D006304:Health Status; D006801:Humans; D008297:Male; D008403:Mass Screening / Q000706:statistics & numerical data*; D008875:Middle Aged; D011237:Predictive Value of Tests; D012044:Regression Analysis; D012812:Sigmoidoscopy / Q000706:statistics & numerical data*; D012959:Socioeconomic Factors; D011795:Surveys and Questionnaires; D006113:United Kingdom