title: Examining associations between job characteristics and health: linking data from the Occupational Information Network (O*NET) to two U.S. national health surveys.
abstract: OBJECTIVE
  To determine whether the Occupational Information Network (O*NET) database can be used to identify job dimensions to serve as proxy measures for psychosocial factors and select environmental factors, and to determine whether these factors could be linked to national health surveys to examine associations with health risk behaviors and outcomes.
  
  
  METHODS
  Job characteristics were obtained from O*NET 98. Health outcomes were obtained from two national surveys. Data were linked using Bureau of Census codes. Multiple logistic regression was used to examine associations between O*NET factors and cardiovascular disease, depression, and health risk factors.
  
  
  RESULTS
  Seven of nine work organization or psychosocial factors were significantly associated with health risk behaviors in both the National Health and Nutrition Examination Survey III and National Health Interview Survey.
  
  
  CONCLUSIONS
  This study demonstrates a method for linking independently obtained health and job characteristic data based on occupational code.
authors.affiliation: Division of Surveillance, Hazard Evaluations and Field Studies, National Institute for Occupational Safety and Health, Cincinnati, Ohio 45213, USA. talterman@cdc.gov
authors.forename: Toni
authors.initials: T
authors.lastname: Alterman
authors.forename: James
authors.initials: J
authors.lastname: Grosch
authors.forename: Xiao
authors.initials: X
authors.lastname: Chen
authors.forename: David
authors.initials: D
authors.lastname: Chrislip
authors.forename: Martin
authors.initials: M
authors.lastname: Petersen
authors.forename: Edward
authors.initials: E
authors.lastname: Krieg
authors.forename: Haejoo
authors.initials: H
authors.lastname: Chung
authors.forename: Carles
authors.initials: C
authors.lastname: Muntaner
mesh_terms: D000328:Adult; D002318:Cardiovascular Diseases / Q000453:epidemiology; D019352:Censuses; D016208:Databases, Factual; D003863:Depression / Q000453:epidemiology; D005260:Female; D015438:Health Behavior; D006305:Health Status Indicators; D006306:Health Surveys; D006801:Humans; D007587:Job Description; D016015:Logistic Models; D008297:Male; D008498:Medical Record Linkage; D008875:Middle Aged; D016273:Occupational Exposure / Q000706:statistics & numerical data; D009790:Occupations; D015995:Prevalence; D012307:Risk Factors; D012309:Risk-Taking; D014481:United States / Q000453:epidemiology; D055815:Young Adult