Summary The objectives of this study were to estimate the prevalence of burnout syndrome in a sample of Spanish social workers and analyse the influence of a series of socio-demographic variables that may potentially be related to the appearance and development of one of the three dimensions of burnout. A total of 947 Spanish social workers participated in the study. Findings 33.2% and 22.1 of Spanish social workers experienced high levels of emotional exhaustion and depersonalisation, and 54.2% experienced low personal accomplishment at work. The hierarchical regression analysis showed that having been on sick leave in the preceding year was the most important predictor of emotional exhaustion. Moreover, full-time employment status was the most robust predictor of depersonalisation, and professional activity in specialised social services was the main predictor of personal accomplishment. The low percentages of total variance explained imply that although certain socio-demographic characteristics are significant predictors, their effects are very small. Applications Public and private organisations devoted to social services should be aware of the need to prevent this type of psychosocial risk to which social workers are exposed every day. This would help improve the health and quality of their lives as well as reduce the high costs which frequent worker turnover and sick leave entail, and would also enhance the effectiveness of the services provided.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.