title: Unemployment and suicide: a cohort analysis of social factors predicting suicide in the US National Longitudinal Mortality Study.
abstract: BACKGROUND
  The purpose of the study was to examine the effect of employment status measured at baseline on the risk of suicide by years of follow-up, using a large nationally representative sample of the US population.
  
  
  METHODS
  Cox regression models were applied to data from the National Longitudinal Mortality Study, based on the 1979-1989 follow-up. In estimating the effect of baseline employment status on suicide, adjustments were made for baseline demographic and socio-economic variables.
  
  
  RESULTS
  After 3 years of follow-up, unemployed men were a little over twice as likely to commit suicide as their employed counterparts. Among men, the lower the socio-economic status, the higher the suicide risk. Among women, in each year of follow-up, the unemployed had a much higher suicide risk than the employed. After 9 years of follow-up unemployed women were over three times more likely to kill themselves than their employed counterparts.
  
  
  CONCLUSIONS
  Unemployment is strongly related to suicide, but this relationship is more enduring and stronger among women. For men, the unemployment effect is stronger at earlier years of follow-up. In women, unemployment increases the risk of suicide regardless of the number of follow-up years. The finding with regard to women disconfirms earlier research reports suggesting that unemployment affects suicide only in men.
authors.affiliation: Department of Sociology, University of California, Riverside 92521, USA.
authors.forename: A J
authors.initials: AJ
authors.lastname: Kposowa
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D005260:Female; D006801:Humans; D008137:Longitudinal Studies; D008297:Male; D008875:Middle Aged; D009026:Mortality / Q000639:trends; D012307:Risk Factors; D012737:Sex Factors; D013405:Suicide / Q000706:statistics & numerical data*; D014478:Unemployment; D014481:United States / Q000453:epidemiology