title: Identifying factors associated with good health and ill health : not just opposite sides of the same coin.
abstract: BACKGROUND
  Work-related health research has traditionally focused on identifying risks rather than determinants of good health. Our knowledge of variation in ill health is thus greater than our understanding of such variations in good health.
  
  
  OBJECTIVE
  In this study, the associations between work-environment exposures and good health are examined. We are especially interested in contrasting our indices of ill health with a narrow measure of good health. Moreover, the salutary effect of sense of coherence (SOC) is explored, focusing particularly on its moderating role.
  
  
  METHODS
  Data stem from the panel of Swedish level of living surveys for 1991 and 2000. The analysis is based on a sample of 2,334 employed men and women. Logistic regressions are used.
  
  
  RESULTS
  Assessed work-environment factors are to a large extent related, in a mirrored way, to good health and ill health. The models' fit are, however, generally better for the latter. Our findings also indicate that SOC has a protective role for individuals exposed to work risks such as stress and high physical demands.
  
  
  CONCLUSIONS
  To improve our understanding of what promotes good health, research needs to focus on salutary factors. One such salutary factor explored in this paper is sense of coherence.
authors.affiliation: Centre for Health Equity Studies, Stockholm University/Karolinska Institutet, Sweden. gabriella.olsson@chess.su.se
authors.forename: Gabriella
authors.initials: G
authors.lastname: Olsson
authors.forename: Orjan
authors.initials: O
authors.lastname: Hemström
authors.forename: Johan
authors.initials: J
authors.lastname: Fritzell
mesh_terms: D000328:Adult; D000368:Aged; D005260:Female; D006304:Health Status; D006306:Health Surveys; D006801:Humans; D007407:Interviews as Topic; D008297:Male; D008875:Middle Aged; D016017:Odds Ratio; D010549:Personal Satisfaction; D011788:Quality of Life; D012044:Regression Analysis; D012931:Social Environment; D017132:Workplace