Combining job stress models in predicting burnout by hierarchical multiple regressions: a cross-sectional investigation in Shanghai

J Occup Environ Med. 2008 Jul;50(7):785-90. doi: 10.1097/JOM.0b013e318167750a.

Abstract

Objective: To compare the predictive validity of the demand control and effort-reward imbalance model, alone and in combination with each other, for job burnout in Shanghai employees.

Methods: A sample of 1368 Shanghai employees responded to a core job stress questionnaire and burnout scale in Chinese. Hierarchically moderated multiple regressions were used to analyze the relationship between job stress and burnout.

Results: All factors from both job stress models predicted 33.5% of the variance in emotional exhaustion, and 20.9% in depersonalization and 5.5% in personal accomplishment. Factors from the effort-reward model demonstrated more power in predicting emotional exhaustion and depersonalization than that of demand control model. Personal accomplishment was significantly associated with sociodemographic factors.

Outcome: The combination of two models may improve our understanding of the relationship between the psychosocial work environment and job burnout.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Burnout, Professional / diagnosis*
  • China / epidemiology
  • Cross-Sectional Studies
  • Female
  • Forecasting
  • Humans
  • Male
  • Middle Aged
  • Models, Theoretical*
  • Occupational Exposure*
  • Regression Analysis
  • Stress, Psychological / epidemiology*
  • Urban Population*