Using the Job Burden-Capital Model of Occupational Stress to Predict Depression and Well-being among Electronic Manufacturing Service Employees in China

Background: This study aims to detect the association between occupational stress, depression and well-being. An exploratory theory as job burden-capital model is proposed and the corresponding hypotheses are to be discussed. Methods: 1618 valid samples were recruited from electronic manufacturing service industry in Hunan province. And all the data were collected by self-rated questionnaires after written consent. This paper introduced a more comprehensive and flexible and it was fitted and validated through the structural equation model analysis. Results: The results of single factor correlation analysis show that the coefficients between all items and dimensions present statistical significance. The final fitting model has satisfactory global goodness of fit (CMIN/DF=5.37, AGFI=0.915, NNFI=0.945, IFI=0.952, RMSEA=0.052). Both of the measurement model and structural model have acceptable path loadings. Job burden and capital could either directly associate with depression and well-being or indirectly relate to them through personality. Multi-group structural equation model analyses indicate general applicability of the model to the basic features of such population and gender, marriage and education made difference on the effects between occupational stress and health outcomes. Conclusions: The job burden-capital model of the occupational stress-depression and well-being shows more systematicness and comprehensiveness.