title: Longest held job in U.S. occupational groups: the National Health Interview Survey.
abstract: OBJECTIVE
  We sought to assess the validity of using current or most recent occupation as surrogate for longest-held job (and its exposures).
  
  
  METHODS
  The National Health Interview Survey (NHIS) is an annual, probability, cross-sectional U.S. population survey. The 1986 and 1988 NHIS occupational supplements provided information for more than 49,000 workers. Using Cohen's Kappa, concordance was assessed by occupational group and several subgroups.
  
  
  RESULTS
  Statistically significant results were observed for all occupational groups. More than 70% of 13 broad occupations had a Kappa of 50.0 or greater, with variable concordance by subpopulation. Among 206 occupational groups, there was more variability: Kappa ranged from 92.7 (dentists) to 9.2 (farm managers).
  
  
  CONCLUSIONS
  Moderate-to-high levels of agreement was observed in this large, representative sample of US workers. Therefore, current occupation can be used as a surrogate for longest-held job for many occupational subgroups.
authors.affiliation: Departments of Epidemiology & Public Health, University of Miami School of Medicine, Miami, Florida 33101, USA. ogomez@med.miami.edu
authors.forename: Orlando
authors.initials: O
authors.lastname: Gómez-Marín
authors.forename: Lora E
authors.initials: LE
authors.lastname: Fleming
authors.forename: Alberto
authors.initials: A
authors.lastname: Caban
authors.forename: William G
authors.initials: WG
authors.lastname: Leblanc
authors.forename: David J
authors.initials: DJ
authors.lastname: Lee
authors.forename: Terry
authors.initials: T
authors.lastname: Pitman
mesh_terms: D000328:Adult; D003430:Cross-Sectional Studies; D004651:Employment; D005260:Female; D006306:Health Surveys; D006801:Humans; D007587:Job Description; D008297:Male; D009784:Occupational Diseases / Q000453:epidemiology; D016273:Occupational Exposure / Q000706:statistics & numerical data*; D009790:Occupations / Q000706:statistics & numerical data*; D010563:Personnel Turnover / Q000706:statistics & numerical data*; D011336:Probability; D014481:United States