title: Mortality differentials among Israeli men.
abstract: OBJECTIVE
  This study examined differentials in mortality among adult Israeli men with respect to ethnic origin, marital status, and several measures of social status.
  
  
  METHODS
  Data were based on a linkage of records from a 20% sample of the 1983 census to records of deaths occurring before the end of 1992. The study population included 72,527 men, and the number of deaths was 17,378.
  
  
  RESULTS
  Differentials is mortality by origin show that mortality was higher among individuals of North African origin than among those of Asian and European origin. After allowance for several socioeconomic indicators, the excess mortality among North African Jews was eliminated. Substantial and consistent differences in mortality were found according to education, occupation, income, possession of a car, housing, and household amenities. Differentials among the elderly were markedly narrower than those among men younger than 70 years.
  
  
  CONCLUSIONS
  Some sectors of Israeli society have higher risks of death than others, including, among the male population, these who are poor, less educated, unmarried, unskilled, out of the labor force, and of North African origin.
authors.affiliation: School of Public Health and Community Medicine, Hebrew University-Hadassah Medical Organization, Ein Karem, Jerusalem, Israel. om@cc.huji.ac.il
authors.forename: O
authors.initials: O
authors.lastname: Manor
authors.forename: Z
authors.initials: Z
authors.lastname: Eisenbach
authors.forename: E
authors.initials: E
authors.lastname: Peritz
authors.forename: Y
authors.initials: Y
authors.lastname: Friedlander
mesh_terms: D000328:Adult; D000352:Africa, Northern / Q000208:ethnology; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D001208:Asia / Q000208:ethnology; D005006:Ethnicity / Q000706:statistics & numerical data; D006801:Humans; D007557:Israel / Q000453:epidemiology; D007585:Jews / Q000706:statistics & numerical data*; D016015:Logistic Models; D008137:Longitudinal Studies; D008297:Male; D017533:Marital Status; D008875:Middle Aged; D009026:Mortality; D016017:Odds Ratio; D016016:Proportional Hazards Models; D012923:Social Class; D012959:Socioeconomic Factors