title: [Analysis on the association between job stress factors and depression symptoms].
abstract: OBJECTIVE
  To identify the prevalence of depression symptoms among employees in Shanghai and to explore the association of job stress factors with depression symptoms.
  
  
  METHODS
  Seven kinds of occupations were selected as subjects by convenient cluster sampling. Job stresses were assessed by core job stress scale and depression symptoms were measured by epidemiological survey depression scale (CES-D). Logistic regression and hierarchical moderated multiple regression were used for analysis.
  
  
  RESULTS
  There were 1301 participants completing the questionnaires. The CES-D score reached 16. 83 +/- 8.63 and depression symptoms were in 46.2% of participants. The CSE-D score and the rate of depression symptoms were varied in different age, education and occupational status. Personal hobbies were helpful to reduce depression symptoms (OR = 0.63, 95% CI = 0.48-0.82). High social supports and high rewards were protect factors for depression symptoms, and the ORs were 0.38 (95% CI= 0.25-0.55) and 0.35 (95% CI = 0.21-0.58) respectively. High over-commitment and effort-reward imbalance were risk factors for depression symptoms, and the ORs were 2.72 (95% CI = 1.76-4.21) and 2.77 (95% CI = 1.09-7.05) respectively. The effort-reward imbalance model is more powerful in predicting depression symptoms than the job demand-control model.
  
  
  CONCLUSIONS
  Effort-reward imbalance and high over-commitment are the risk factors for depression symptoms, more social supports and having hobbies are the protect factors for depression symptoms.
authors.affiliation: Department of Preventive Medicine, School of Public Health, Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai 200032, China. jmdai@shmu.edu.cn
authors.forename: Junming
authors.initials: J
authors.lastname: Dai
authors.forename: Huizhu
authors.initials: H
authors.lastname: Yu
authors.forename: Jianhua
authors.initials: J
authors.lastname: Wu
authors.forename: Cui' e
authors.initials: Ce
authors.lastname: Wu
authors.forename: Hua
authors.initials: H
authors.lastname: Fu
mesh_terms: D000328:Adult; D000368:Aged; D002055:Burnout, Professional / Q000523:psychology*; D002681:China / Q000453:epidemiology; D003863:Depression / Q000453:epidemiology / Q000209:etiology* / Q000523:psychology; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015995:Prevalence; D012307:Risk Factors; D012494:Sampling Studies; D011795:Surveys and Questionnaires; D016526:Workload / Q000523:psychology*; D017132:Workplace / Q000523:psychology; D055815:Young Adult