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Multicenter Study
, 19 (1), 625

Public Service Motivation as a Mediator of the Relationship Between Job Stress and Presenteeism: A Cross-Sectional Study From Chinese Public Hospitals

Multicenter Study

Public Service Motivation as a Mediator of the Relationship Between Job Stress and Presenteeism: A Cross-Sectional Study From Chinese Public Hospitals

Jianwei Deng et al. BMC Health Serv Res.


Background: Job stress is a strong indicator of presenteeism, but few studies have examined its diverse effects and mediators on presenteeism. This study explored the relationships between job stress, public service motivation (PSM) and presenteeism and how job stress and PSM influence presenteeism in a large national sample of Chinese healthcare workers.

Methods: A cross-sectional survey including 1392 healthcare workers from 11 Class A tertiary hospitals in eastern, central and western China was used in the analysis. Descriptive statistical analysis, correlation analysis and structural equation modeling were used to test the research hypothesis.

Results: Hindrance stress was inversely associated with PSM (β = - 0.27; P < 0.001) but significantly positively associated with presenteeism (β = 0.35; P < 0.001). PSM was directly inversely associated with presenteeism (β = - 0.35; P < 0.001). PSM partially mediated the relation of hindrance stress with presenteeism.

Conclusions: The findings suggest that efforts to prevent presenteeism among healthcare workers in China should emphasize PSM improvement and reduction of hindrance stress.

Keywords: Big data; Challenge stress; Healthcare service; Hindrance stress; PSM; Presenteeism.

Conflict of interest statement

The authors declare that they have no competing interests.


Fig. 1
Fig. 1
Proposed model of how challenge stress, hindrance stress, and PSM affect presenteeism
Fig. 2
Fig. 2
Final model illustrating how challenge stress and hindrance stress influence PSM and presenteeism (Notes. *** p < 0.001). (numbers not in bold are standardized regression coefficients and numbers in bold explain variability; chi square, 1381.091; degrees of freedom, 164, p  < 0.001; root mean square error of approximation, 0.073; normed fit index, 0.917; comparative fit index, 0.926; *** p  <  0.001)

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