Sabine Saade1, Annick Parent-Lamarche2, Zeina Bazarbachi3, Ruba Ezzeddine3, Raya Ariss3. 1. Department of Psychology, American University of Beirut, P.O. Box 11-0236, Riad El-Solh, Beirut, 1107 2020, Lebanon. ss241@aub.edu.lb. 2. Département de Gestion des Ressources Humaines, Université du Québec à Trois-Rivières, 3351, boulevard des Forges, Trois-Rivières, QC, G8Z 4M3, Canada. 3. American University of Beirut, Riad El-Solh, P.O. Box 11-0236, Beirut, 1107 2020, Lebanon.
Abstract
OBJECTIVE: The aim of this study is twofold. Our first aim is to provide an overview of the prevalence rate of depression in a wide array of helping professions. Our second aim is to identify work organization conditions that seem to be associated with this depression risk. METHODS: Four databases were searched (CINAHL, PsycInfo, PubMed, and Web of Science) yielding 87,626 records in total. We were interested in identifying depression prevalence rates and work-related variables that have been found to contribute to depression in helping professions. RESULTS: In total, this systematic review included 17,437 workers in more than 29 countries. Depression prevalence rate varied between 2.5% and 91.30%. The two most frequently reported professions were nurses and doctors with 73.83% and 30.84% of studies including nurses and doctors in their sample. Work factors contributing to depression included: skill utilization, decision authority, psychological demands, physical demands, number of hours worked, work schedule (irregular or regular), work schedule (daytime or night time), social support from coworkers, social support from supervisor and the family, job insecurity, recognition, job promotion, and bullying. CONCLUSION: The results of this study highlight alarmingly high rates of depression in helping professions and should serve as a reminder to pay close attention to the mental health of those workers. Investing in employees' mental health by preventing and reducing depression risk could prove to be a valuable investment from an employer's point of view, as it is likely to increase productivity and reduce absenteeism among a host of other positive outcomes.
OBJECTIVE: The aim of this study is twofold. Our first aim is to provide an overview of the prevalence rate of depression in a wide array of helping professions. Our second aim is to identify work organization conditions that seem to be associated with this depression risk. METHODS: Four databases were searched (CINAHL, PsycInfo, PubMed, and Web of Science) yielding 87,626 records in total. We were interested in identifying depression prevalence rates and work-related variables that have been found to contribute to depression in helping professions. RESULTS: In total, this systematic review included 17,437 workers in more than 29 countries. Depression prevalence rate varied between 2.5% and 91.30%. The two most frequently reported professions were nurses and doctors with 73.83% and 30.84% of studies including nurses and doctors in their sample. Work factors contributing to depression included: skill utilization, decision authority, psychological demands, physical demands, number of hours worked, work schedule (irregular or regular), work schedule (daytime or night time), social support from coworkers, social support from supervisor and the family, job insecurity, recognition, job promotion, and bullying. CONCLUSION: The results of this study highlight alarmingly high rates of depression in helping professions and should serve as a reminder to pay close attention to the mental health of those workers. Investing in employees' mental health by preventing and reducing depression risk could prove to be a valuable investment from an employer's point of view, as it is likely to increase productivity and reduce absenteeism among a host of other positive outcomes.
Authors: Lauren A Booker; Tracey L Sletten; Pasquale K Alvaro; Maree Barnes; Allison Collins; Ching Li Chai-Coetzer; Aqsa Naqvi; Marcus McMahon; Steven W Lockley; Shantha M W Rajaratnam; Mark E Howard Journal: J Sleep Res Date: 2019-05-29 Impact factor: 3.981
Authors: Ronald C Kessler; Patricia Berglund; Olga Demler; Robert Jin; Kathleen R Merikangas; Ellen E Walters Journal: Arch Gen Psychiatry Date: 2005-06