title: Mortality gradient across the labour market core-periphery structure: a 13-year mortality follow-up study in north-eastern France.
abstract: OBJECTIVE
  This study explores mortality related to temporary employment, about which very little is known to date.
  
  
  METHODS
  In 1996, a health survey was carried out in the French region of Lorraine, and all members of 8,000 randomly chosen households were followed up for mortality over a 13-year period. Mortality of subjects in relation to their employment situation at baseline was analysed using a Cox survival regression.
  
  
  RESULTS
  In comparison with permanent workers, for unemployed men, we found age and occupation-adjusted hazard ratios (HR) of 4.1 for all-causes of death and 3.9 for non-violent causes, and for male temporary workers a HR of 2.2 for both all-causes and non-violent causes of death. Bad health, tobacco smoking and alcohol misuse explained 17 % of the excess risk for the unemployed and 41 % of that for temporary workers.
  
  
  CONCLUSIONS
  The observation of large mortality inequalities across the labour market core-periphery structure has important policy implications, particularly in terms of prevention focused on unhealthy behaviours among male unemployed and temporary workers.
authors.affiliation: Institut National d'Etudes Démographiques, 133 Boulevard Davout, 75980, Paris Cedex 20, France, khlat@ined.fr.
authors.forename: M
authors.initials: M
authors.lastname: Khlat
authors.forename: S
authors.initials: S
authors.lastname: Legleye
authors.forename: B
authors.initials: B
authors.lastname: Falissard
authors.forename: N
authors.initials: N
authors.lastname: Chau
mesh_terms: D000328:Adult; D000367:Age Factors; D000437:Alcoholism / Q000453:epidemiology; D002423:Cause of Death; D004651:Employment / Q000706:statistics & numerical data*; D005260:Female; D005500:Follow-Up Studies; D005602:France; D015438:Health Behavior; D006304:Health Status; D006306:Health Surveys; D006801:Humans; D008297:Male; D008875:Middle Aged; D009026:Mortality; D009790:Occupations / Q000706:statistics & numerical data*; D012307:Risk Factors; D012907:Smoking / Q000453:epidemiology; D013997:Time Factors