PhD Scientific Days 2023

Budapest, 22-23 June 2023

Mental Health Sciences - Posters M

The relationship between emotional intelligence, burnout, and workplace resources among Hungarian social care leaders

Anna Kozák,Semmelweis University/Institute of Mental Health, Budapest

Text of the abstract

The relationship between emotional intelligence, burnout, and workplace resources among Hungarian social care leaders

Introduction: Inspired by the Job-Demand Resources Model (JD-R), it is postulated that emotional intelligence (EI) can build and nurture job resources at workplaces, and there is a high consensus that the presence of EI and job resources could protect against burnout.

Aims: This research examined the relationship between emotional intelligence, burnout, and the mediational role of workplace society resources (workplace community and mutual trust) under the JD-R Model framework among social care managers in Hungary.

Method: A self-reporting questionnaire was distributed among 547 Hungarian social service managers. All the participants were over 18 (with an average of 45.7). Women were highly overrepresented in the sample (Female = 84.8%). EI was measured by the Hungarian-validated version of the Assessing Emotions Scale (AES). Burnout and workplace resources were assessed by adopting the relevant scales from the Hungarian version of the Copenhagen Psychosocial Questionnaire II questionnaire. A mediational analysis was carried out to explore the relationship between the variables.

Results: To assess EI, a three-factor structure of AES was developed, best suiting the Hungarian social service managers' sample: EI-Positivity (positive appraisal, α= .802), EI-Self (understanding own emotions, α = .751), EI-Others (understanding others emotions, α= .785). The mediational models of all three scales support that EI could positively influence workplace society resources and, through them, protect against burnout. Both EI-Others and EI-Positivity had a negative significant indirect effect on burnout through the paths of community and trust (EIO β = -.013, SE = .007, CI 95% [-.027, -.001]; EIP β = -.016, SE = .008, CI 95% [-.034; -.001], although in case of EI-Self, only a marginal tendency was captured.

Conclusions: The results of this study support the advantageous effect of EI and workplace society resources on burnout and, therefore, could provide insight for further social policy interventions and training.

Funding: This research has received funding from the No. EFOP-3.8.2-16-2016-00001 and VEKOP-7.5.1-16-2016-00001 Project, in the framework of the Hungarian Social Service Management Training Master's program, 2019.