Background At present, domestic research on job burnout and health-related productivity is limited to medical workers, and the impact of job burnout on health-related productivity of enterprise staff deserves attention.

Objective To explore the association between job burnout and health-related productivity loss among enterprise staff.

Methods A cross-sectional online questionnaire survey was conducted among enterprise staff who were selected from seven enterprises in Minhang District of Shanghai. The Chinese version of Maslach Burnout Inventory-General Survey (MBI-GS) was used to assess job burnout, and a questionnaire based on and modified from the WHO Health and Work Performance Questionnaire was used to assess the loss of health-related productivity. Logistic regression was used to analyze the impact of job burnout on health-related productivity under the control of selected demographic characteristics, socio-economic factors, and occupational factors.

Results A total of 3489 questionnaires were recovered, and 3156 valid questionnaires were included in the statistical analysis. Among the 3156 valid questionnaires, 2228 (70.8%) respondents were assessed as suffering from job burnout, in which 1858 (59.0%) were mild to moderate job burnout, and 370 (11.7%) were severe job burnout; the median score (interquartile range) of MBI-GS was 2.18（2.69）, the median rates (interquartile range) of absenteeism and presenteeism were 0.00% (0.00%) and 20.00% (50.00%), respectively. The prevalence of presenteeism significantly varied by gender, education, marital status, working years, job category, exhaustion, cynicism, professional efficacy, and job burnout (P<0.05). The prevalence of absenteeism significantly varied by education, marital status, working years, job category, exhaustion, cynicism, professional efficacy, and job burnout (P<0.05). Job burnout was positively correlated with absenteeism (r=0.157) and presenteeism (r=0.412) (P<0.01). After controlling for selected demographic characteristics, social economic factors, and occupational factors, the logistic regression showed that job burnout was associated with health-related productivity loss, the OR value remained relatively stable, and referring to negative job burnout, the OR (95%CI) of severe job burnout was 6.35 (4.52-8.92).

Conclusion Job burnout of enterprise staff has a negative impact on health-related productivity. Severer job burnout associates with higher health-related productivity loss. Enterprises should pay attention to the prevention and control of job burnout to reduce health-related productivity loss.