OBJECTIVE: Mental ill-health results in substantial reductions in employee productivity (absenteeism and presenteeism). This paper examines the relationship between employee psychological distress, employee type and productivity. METHOD: Utilizing the Health and Performance at Work Questionnaire, in a sample of 60,556 full-time employees, the impact that psychological distress (Kessler 6) imposes on employee productivity by occupation type is examined. RESULTS: Comparison of white-collar workers absenteeism rates by low and high psychological distress reveals no statistically significant difference. Nevertheless, the same comparison for blue-collar workers reveals that high psychological distress results in an 18% increase in absenteeism rates. High K6 score resulted in a presenteeism increase of 6% in both blue and white-collar employees. CONCLUSION: The novel finding is that mental ill-health produces little to no absenteeism in white-collar workers yet a profound absenteeism increase in the blue-collar sector.
OBJECTIVE: Mental ill-health results in substantial reductions in employee productivity (absenteeism and presenteeism). This paper examines the relationship between employee psychological distress, employee type and productivity. METHOD: Utilizing the Health and Performance at Work Questionnaire, in a sample of 60,556 full-time employees, the impact that psychological distress (Kessler 6) imposes on employee productivity by occupation type is examined. RESULTS: Comparison of white-collar workers absenteeism rates by low and high psychological distress reveals no statistically significant difference. Nevertheless, the same comparison for blue-collar workers reveals that high psychological distress results in an 18% increase in absenteeism rates. High K6 score resulted in a presenteeism increase of 6% in both blue and white-collar employees. CONCLUSION: The novel finding is that mental ill-health produces little to no absenteeism in white-collar workers yet a profound absenteeism increase in the blue-collar sector.
Authors: Berend Terluin; Willem van Rhenen; Johannes R Anema; Toon W Taris Journal: Int Arch Occup Environ Health Date: 2011-04-09 Impact factor: 3.015
Authors: Fania R Gärtner; Sarah M Ketelaar; Odile Smeets; Linda Bolier; Eva Fischer; Frank J H van Dijk; Karen Nieuwenhuijsen; Judith K Sluiter Journal: BMC Public Health Date: 2011-05-10 Impact factor: 3.295
Authors: Fiona Cocker; Jan M Nicholson; Nicholas Graves; Brian Oldenburg; Andrew J Palmer; Angela Martin; Jenn Scott; Alison Venn; Kristy Sanderson Journal: PLoS One Date: 2014-09-02 Impact factor: 3.240