title: Predictors of participation in clinical and psychosocial follow-up of the kConFab breast cancer family cohort.
abstract: BACKGROUND
  Prospective collection of epidemiological, psychosocial and outcome data in large breast cancer family cohorts should provide less biased data than retrospective studies regarding penetrance of breast cancer and modifiers of genetic risk.
  
  
  METHODS
  The Kathleen Cuningham Foundation for Research into Breast Cancer (kConFab) recently commenced 3-yearly follow-up on over 750 families with multiple cases of breast cancer. Clinical follow-up was by mailed self-report questionnaire to all participants, while psychosocial follow-up was only of unaffected women and consisted of two components: a mailed questionnaire and an interview regarding stressful life events.
  
  
  RESULTS
  To date, 1928 of 2748 (70%) participants returned the clinical follow-up questionnaire (10% opted out, 16% were non-responders, and 4% were not contactable). Of the unaffected females who returned the clinical follow-up questionnaire, 91% participated in the psychosocial follow-up. In multivariate analyses, sex, personal cancer status, marital status, age and educational status were independent predictors of response to the clinical follow-up questionnaire, and number of female children, age, and family history of breast cancer were independent predictors of response to the psychosocial follow-up.
  
  
  CONCLUSIONS
  A first round of 3-yearly clinical and psychosocial follow-up using a mailed questionnaire was feasible in this cohort. High response rates were achieved by employing intensive tracing and reminder strategies. The predictors of response for the clinical and psychosocial follow-up components of this study should be considered in designing similar follow-up strategies for other family cancer cohorts.
authors.affiliation: Department of Hematology and Medical Oncology, Peter MacCallum Cancer Centre, Locked Bag No. 1, A'Beckett St, Victoria 8006, Australia. Kelly.Phillips@petermac.org
authors.forename: Kelly-Anne
authors.initials: KA
authors.lastname: Phillips
authors.forename: Phyllis N
authors.initials: PN
authors.lastname: Butow
authors.forename: Ailsa E
authors.initials: AE
authors.lastname: Stewart
authors.forename: Jiun-Horng
authors.initials: JH
authors.lastname: Chang
authors.forename: Prue C
authors.initials: PC
authors.lastname: Weideman
authors.forename: Melanie A
authors.initials: MA
authors.lastname: Price
authors.forename: Sue Anne
authors.initials: SA
authors.lastname: McLachlan
authors.forename: Geoffrey J
authors.initials: GJ
authors.lastname: Lindeman
authors.forename: Michael J
authors.initials: MJ
authors.lastname: McKay
authors.forename: Michael L
authors.initials: ML
authors.lastname: Friedlander
authors.forename: John L
authors.initials: JL
authors.lastname: Hopper
mesh_terms: D000328:Adult; D000368:Aged; D001943:Breast Neoplasms / Q000235:genetics*; D015331:Cohort Studies; D005260:Female; D005544:Forecasting; D020022:Genetic Predisposition to Disease; D006801:Humans; D008875:Middle Aged; D015999:Multivariate Analysis; D010349:Patient Compliance; D010375:Pedigree; D012107:Research Design; D012307:Risk Factors; D011795:Surveys and Questionnaires