title: Comparison of information on occupation and lifestyle habits obtained from European man-made vitreous fibre production workers and their relatives.
abstract: BACKGROUND
  Studies of the aetiology of fatal diseases often rely on data obtained from relatives, which can cause loss of precision and introduce bias. We assessed the quality of such information on demographics, occupation, smoking and alcohol habits.
  
  
  METHODS
  We compared contemporary interviews, based on a structured questionnaire, with male workers from the man-made vitreous fibre production industry in four European countries and their relatives. The participation rate was 63% (74 pairs of workers and relatives).
  
  
  RESULTS
  Only minor differences in the ability to answer the questions appeared among workers and relatives, except for specific occupational questions. There was moderate to excellent agreement for demographics, residential and work history (kappa or intraclass correlation range: 0.44-0.98). For smoking habits, beer and wine consumption the agreement was good to excellent (range: 0.59-0.99). In particular, number of different residential areas, jobs, industries, and duration of wine drinking were significantly underreported by the relatives. No general determinant for reduced agreement appeared.
  
  
  CONCLUSIONS
  In general, the quality of information obtained from relatives appeared good. However, information on specific occupational exposures may be improved by supplementing the information from relatives with details obtained from colleagues, occupational hygiene experts or occupation-exposure matrices.
authors.affiliation: International Agency for Research on Cancer, Lyon, France.
authors.forename: J
authors.initials: J
authors.lastname: Hansen
authors.forename: P
authors.initials: P
authors.lastname: Boffetta
authors.forename: A
authors.initials: A
authors.lastname: Andersen
authors.forename: J W
authors.initials: JW
authors.lastname: Cherrie
authors.forename: J
authors.initials: J
authors.lastname: Chang-Claude
authors.forename: U
authors.initials: U
authors.lastname: Eilber
authors.forename: R
authors.initials: R
authors.lastname: Frentzel-Beyme
authors.forename: T
authors.initials: T
authors.lastname: Hemmingsson
authors.forename: J H
authors.initials: JH
authors.lastname: Olsen
authors.forename: N
authors.initials: N
authors.lastname: Plato
authors.forename: R
authors.initials: R
authors.lastname: Saracci
authors.forename: G B
authors.initials: GB
authors.lastname: Skare
authors.forename: P
authors.initials: P
authors.lastname: Westerholm
mesh_terms: D000293:Adolescent; D000368:Aged; D016022:Case-Control Studies; D002617:Chemical Industry / Q000706:statistics & numerical data*; D003718:Denmark / Q000453:epidemiology; D005240:Feasibility Studies; D005260:Female; D006801:Humans; D015994:Incidence; D007398:Interpersonal Relations; D008019:Life Style; D008297:Male; D008875:Middle Aged; D019016:Mineral Fibers / Q000009:adverse effects*; D009784:Occupational Diseases / Q000453:epidemiology* / Q000209:etiology; D009790:Occupations / Q000706:statistics & numerical data*; D011897:Random Allocation; D012044:Regression Analysis; D015203:Reproducibility of Results; D012307:Risk Factors; D011795:Surveys and Questionnaires; D015996:Survival Rate
chemical_list: D019016:Mineral Fibers