2016 Volume 58 Issue 1 Pages 25-35
Objectives: The aim of this study was to identify the determinants of presenteeism, taking health and individual factors into account. Methods: A quantitative analysis applying structural equation modelling analysis was conducted on the basis of secondary data from the Health and Retirement Survey (2008 wave), which measured presenteeism and its determinants. Results: Stress-related factors at work (β =−0.35, p<0.001), individual factors (α =−0.27, p<0.001), and health (β =0.24, p<0.001) were significantly related to presenteeism. Individual factors were found to be directly correlated with stress-related factors at work (β =0.22, p<0.001). Significant indirect effects between stress-related factors at work and presenteeism (Sobel z=−6.61; p<0.001) and between individual factors and presenteeism (Sobel z=−4.42; p<0.001), which were mediated by health, were also found. Overall, the final model accounted for 37% (R2=0.37) of the variance in presenteeism. Conclusions: Our study indicates some important and practical guidelines for employers to avoid the burdens of stress-related presenteeism among their employees. These findings could help select target factors in the design and implementation of effective presenteeism interventions in the aging working population.(J Occup Health 2016; 58: 25–35)
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