Predictors of Occupational Burnout: A Systematic Review

Yara Shoman, Emna El May, Sandy Carla Marca, Pascal Wild, Renzo Bianchi, Merete Drevvatne Bugge, Cigdem Caglayan, Dimitru Cheptea, Marco Gnesi, Lode Godderis, Sibel Kiran, Damien M. McElvenny, Zakia Mediouni, Ingrid Sivesind Mehlum, Dragan Mijakoski, Jordan Minov, Henk F. van der Molen, Evangelia Nena, Marina Otelea and Irina Guseva Canu
Additional contact information
Yara Shoman: Center of Primary Care and Public Health (Unisanté), University of Lausanne, 1066 Epalinges-Lausanne, Switzerland
Emna El May: Center of Primary Care and Public Health (Unisanté), University of Lausanne, 1066 Epalinges-Lausanne, Switzerland
Sandy Carla Marca: Center of Primary Care and Public Health (Unisanté), University of Lausanne, 1066 Epalinges-Lausanne, Switzerland
Pascal Wild: Center of Primary Care and Public Health (Unisanté), University of Lausanne, 1066 Epalinges-Lausanne, Switzerland
Renzo Bianchi: Institute of Work and Organizational Psychology, University of Neuchâtel, 2000 Neuchâtel, Switzerland
Merete Drevvatne Bugge: National Institute of Occupational Health (STAMI), 0363 Oslo, Norway
Cigdem Caglayan: Department of Public Health, Faculty of Medicine, Kocaeli University, İzmit 41001, Turkey
Dimitru Cheptea: Faculty of Medicine and Pharmacy, Nicolae Testemitanu State University of Medicine and Pharmacy, 2004 Chisinau, Moldova
Marco Gnesi: Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy
Lode Godderis: Department of Primary Care and Public Health, University of Leuven, 3000 Leuven, Belgium
Sibel Kiran: Institute of Public Health, Hacettepe University, Ankara 06800, Turkey
Damien M. McElvenny: Institute of Occupational Medicine, University of Manchester, Manchester M13 9WU, UK
Zakia Mediouni: Center of Primary Care and Public Health (Unisanté), University of Lausanne, 1066 Epalinges-Lausanne, Switzerland
Ingrid Sivesind Mehlum: National Institute of Occupational Health (STAMI), 0363 Oslo, Norway
Dragan Mijakoski: Institute of Occupational Health of RNM, WHO Collaborating Center, 1000 Skopje, North Macedonia
Jordan Minov: Institute of Occupational Health of RNM, WHO Collaborating Center, 1000 Skopje, North Macedonia
Henk F. van der Molen: Center for Occupational Diseases, Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
Evangelia Nena: Medical School, Democritus University of Thrace, 68100 Alexandroupolis, Greece
Marina Otelea: Clinical Department 5, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania
Irina Guseva Canu: Center of Primary Care and Public Health (Unisanté), University of Lausanne, 1066 Epalinges-Lausanne, Switzerland

IJERPH, 2021, vol. 18, issue 17, 1-17

Abstract: We aimed to review occupational burnout predictors, considering their type, effect size and role (protective versus harmful), and the overall evidence of their importance. MEDLINE, PsycINFO, and Embase were searched from January 1990 to August 2018 for longitudinal studies examining any predictor of occupational burnout among workers. We arranged predictors in four families and 13 subfamilies of homogenous constructs. The plots of z-scores per predictor type enabled graphical discrimination of the effects. The vote-counting and binomial test enabled discrimination of the effect direction. The size of the effect was estimated using Cohen’s formula. The risk of bias and the overall evidence were assessed using the MEVORECH and GRADE methods, respectively. Eighty-five studies examining 261 predictors were included. We found a moderate quality of evidence for the harmful effects of the job demands subfamily (six predictors), and negative job attitudes, with effect sizes from small to medium. We also found a moderate quality of evidence for the protective effect of adaptive coping (small effect sizes) and leisure (small to medium effect sizes). Preventive interventions for occupational burnout might benefit from intervening on the established predictors regarding reducing job demands and negative job attitudes and promoting adaptive coping and leisure.

Keywords: burnout; etiology; exhaustion; occupational health; prevention (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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