Work-Related Determinants of Burnout in a Nationally Representative Sample of German Employees: Results From the Study on Mental Health at Work

Published

Journal Article

Copyright © 2018 American College of Occupational and Environmental Medicine. Objective: The aim of the study was to present first representative data on burnout measured as exhaustion in German employees. Methods: Data were taken from the Study on Mental Health at Work (n = 4058). Computer-assisted personal interviews were conducted in 2011 to 2012. Multiple linear regression models were estimated to investigate the association between work-related and personal variables and burnout. Results: Severe burnout was detected in nearly 3% of employees. Job demands were associated with higher burnout scores, more resources with lower scores. Independent of personal factors, higher quantitative demands (men: regression coefficient [β] = 0.19; 95% confidence interval [CI], 0.16 to 0.23; women: β = 0.24; 95% CI, 0.20 to 0.27) was identified as the strongest predictor of burnout measured as exhaustion. The model explained 28% to 33% of the total variance. Conclusions: Quantitative demands seem to be important risk factors for burnout independent of critical life events and general self-efficacy.

Full Text

Duke Authors

Cited Authors

  • Müller, G; Brendel, B; Freude, G; Potter, G; Rose, U; Burr, H; Falkenstein, M; Martus, P

Published Date

  • July 1, 2018

Published In

Volume / Issue

  • 60 / 7

Start / End Page

  • 584 - 588

Electronic International Standard Serial Number (EISSN)

  • 1536-5948

International Standard Serial Number (ISSN)

  • 1076-2752

Digital Object Identifier (DOI)

  • 10.1097/JOM.0000000000001328

Citation Source

  • Scopus