Psychosocial Risks and Wellbeing: A Variance Based Approach

Abstract:

Psychosocial factors and wellbeing at work are now become one of the widely accepted and important occupational health concerns besides the revelation of traditional issues of chemical, physical, and biological hazards. Psychosocial hazards are those risks that generate from the psyche perceptions of the individuals concern in accordance with the risks of the societal environment. The study was conducted in the chemical industry of Malaysia and has investigated the relationship between psychosocial job demands and resources over the workers’ health and wellbeing in light of covariance based-partial least square (PLS) approach to structural equation modeling (SEM). The results showed that psychosocial emotional demands and social support from supervisor and colleagues have a significant impact on the workers’ health & wellbeing, whereas, quantitative demands have not supported our hypotheses with a t-value of 0.033. The global fit measure (GoF) of our hypothesized model is 0.36 which showed that this research model had sufficient support to validate model globally as this value is exactly in accordance with the recommended cut-off value. The findings revealed that future need to focus on more nuanced measurements of psychosocial risks factors with large sample size in accordance to job demand-resource (JD-R) model.

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