Comparison of information on occupation and lifestyle habits obtained from European man-made vitreous fibre production workers and their relatives

Int J Epidemiol. 1997 Oct;26(5):1009-16. doi: 10.1093/ije/26.5.1009.

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.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Aged
  • Case-Control Studies
  • Chemical Industry / statistics & numerical data*
  • Denmark / epidemiology
  • Feasibility Studies
  • Female
  • Humans
  • Incidence
  • Interpersonal Relations
  • Life Style*
  • Male
  • Middle Aged
  • Mineral Fibers / adverse effects*
  • Occupational Diseases / epidemiology*
  • Occupational Diseases / etiology
  • Occupations / statistics & numerical data*
  • Random Allocation
  • Regression Analysis
  • Reproducibility of Results
  • Risk Factors
  • Surveys and Questionnaires
  • Survival Rate

Substances

  • Mineral Fibers