TY - JOUR
T1 - Predictors of occupational burnout: A systematic review
AU - Shoman, Yara
AU - May, Emna El
AU - Marca, Sandy Carla
AU - Wild, Pascal
AU - Bianchi, Renzo
AU - Bugge, Merete Drevvatne
AU - Caglayan, Cigdem
AU - Cheptea, Dimitru
AU - Gnesi, Marco
AU - Godderis, Lode
AU - Kiran, Sibel
AU - McElvenny, Damien M.
AU - Mediouni, Zakia
AU - Mehlum, Ingrid Sivesind
AU - Mijakoski, Dragan
AU - Minov, Jordan
AU - van der Molen, Henk F.
AU - Nena, Evangelia
AU - Otelea, Marina
AU - Canu, Irina Guseva
N1 - Funding Information: Funding: The European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No 801076, through the SSPH+ Global PhD Fellowship Pro-gram in Public Health Sciences (GlobalP3HS) of the Swiss School of Public Health partly supported the PhD position of YS. Unisanté supported the other part, via the General Directorate of Health of the Canton of Vaud via the grant of the Commission for Health Promotion and the Fight against Addictions Grant N◦ 8273/3636000000-801. This publication is based upon work from COST Action CA16216 (OMEGA-NET), supported by COST (European Cooperation in Sci-ence and Technology). Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2021/9/1
Y1 - 2021/9/1
N2 - 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.
AB - 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.
KW - Burnout
KW - Etiology
KW - Exhaustion
KW - Occupational health
KW - Prevention
UR - http://www.scopus.com/inward/record.url?scp=85114021486&partnerID=8YFLogxK
U2 - https://doi.org/10.3390/ijerph18179188
DO - https://doi.org/10.3390/ijerph18179188
M3 - Review article
C2 - 34501782
SN - 1661-7827
VL - 18
JO - International journal of environmental research and public health
JF - International journal of environmental research and public health
IS - 17
M1 - 9188
ER -