Assessing the contribution of unstable employment to mortality in posttransition Russia: prospective individual-level analyses from the Russian longitudinal monitoring survey

Am J Public Health. 2009 Oct;99(10):1818-25. doi: 10.2105/AJPH.2008.154815. Epub 2009 Aug 20.

Abstract

Objectives: We used the Russia Longitudinal Monitoring Survey (RLMS) to investigate associations between employment, socioeconomic position, and mortality.

Methods: Data were from working-age respondents in 8 rounds (1994-2003) of the RLMS. We measured associations between education, occupation, unemployment, and insecure employment and mortality with Cox proportional hazards analyses.

Results: Of 4465 men and 4158 women who were currently employed, 251 men and 34 women died. A third of employed respondents experienced wage arrears, and 10% experienced compulsory leave and payment in consumer goods. Insecure employment, more common among the less-educated and manual workers, fluctuated with macroeconomic measures. Mortality was significantly associated with payment in consumer goods among men (hazard ratio [HR] = 1.46; 95% confidence interval [CI] = 1.03, 2.07), compulsory unpaid leave among women (HR = 3.79; 95% CI = 1.82, 7.88), and male unemployment (HR = 1.88; 95% CI = 1.38, 2.55). Associations with death within 1 year of entry were generally somewhat stronger than the association with mortality over the whole study period.

Conclusions: Unemployment and job insecurity predicted mortality, suggesting that they contributed to Russia's high mortality during the transition from communism.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Confidence Intervals
  • Data Collection
  • Employment / statistics & numerical data*
  • Employment / trends
  • Female
  • Humans
  • Logistic Models
  • Longitudinal Studies
  • Male
  • Middle Aged
  • Mortality*
  • Occupations / statistics & numerical data
  • Proportional Hazards Models
  • Prospective Studies
  • Risk Factors
  • Russia
  • Social Class*
  • Time Factors
  • Unemployment / statistics & numerical data
  • Young Adult