1. Predicting job satisfaction and depression at work: How important are work-related factors? M. Anthony Machin Associate Professor University of Southern Queensland Presented at the 2009 Australasian Society for Psychiatric Research (ASPR) Annual Conference, Canberra
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5. Figure 1 from Page and Vella-Brodrick (2009) Page, K. M., & Vella-Broderick, D. A. (2009). The ‘What’, ‘Why’ and ‘How’ of employee well-being: A new model. Social Indicators Research, 90 , 441-458.
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7. Figure 8.1 from Judge and Kammeyer-Mueller (2008) Judge, T. A., & Kammeyer-Mueller, J. D. (2008). Affect, satisfaction, and performance. In N. M. Ashkanasy & C. L. Cooper (Eds.), Research companion to emotion in organizations (Ch. 8, pp. 136-151). Cheltenham, UK: Edward Elgar Press.
The ABS 1997 National Survey of Mental Health and Wellbeing which used internationally recognised diagnostic interview schedules to assess the prevalence of mental disorder through the measurement of symptoms. This survey found that about 700,000 Australian adults aged 18 years and over, 6% of the population, had experienced depression during the 12 months prior to the survey.
This is an overview of the first burden of disease and injury studies carried out in Australia. Methods developed for the World Bank and World Health Organization Global Burden of Disease Study were adapted and applied to Australian population health data. Depression was found to be the top-ranking cause of non-fatal disease burden in Australia, causing 8% of the total years lost due to disability in 1996. Mental disorders overall were responsible for nearly 30% of the non-fatal disease burden.
Although the confounding effects of NA are alluded to in the literature (Dollard & Winefield, 1998; Vermeulen & Mustard, 2000), a recent meta-analysis of the literature relating positive and negative affectivity to job-related attitudes found that both PA and NA are important predictors of job satisfaction, organisational commitment, dimensions of burnout, and turnover intentions (Thoresen, Kaplan, Barsky, de Chermont & Warren, 2003). The implication of this research is that PA and NA should be included in models that attempt to explain how job-related variables are related to employee well-being and mental health. This meta-analysis also found that the estimated mean population correlation between PA and NA was -.36 based on a k of 76 with N = 24,361 (95% CI = -.39 to -.32). The current study includes both NA and PA as predictors of depression as well as allowing them to mediate the effects of D-C-S variables on depression.
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