Journal Article


Emotional intelligence and self-determined behaviour reduce psychological distress: Interactions with resilience in social work students in the UK

Abstract

Social workers in the UK experience higher levels of burnout compared with other healthcare professionals, making it important to understand how they can develop resilience to protect themselves from psychological distress. The current study aimed to deepen our understanding of the psychological predictors of resilience, which include emotional intelligence, reflective ability, social competence, and empathy, using self-determination theory. This theory suggests that fulfilment of the psychological needs for autonomy, competence, and relatedness will support resilience and protect against distress. We expected these needs to explain additional variance in resilience and distress beyond other emotional and social competencies. Analysis of questionnaire data from 211 social work students in the UK provided partial support for these hypotheses. Autonomy, competence, and relatedness were significantly positively correlated with resilience, and hierarchical regression analysis revealed that they explained somewhat more variance in resilience than previous factors alone (p=.06). Autonomy, competence, and relatedness explained significantly more variance than previous factors alone in psychological distress, although only autonomy and competence correlated with less psychological distress. Unexpectedly, relatedness correlated with more psychological distress. Furthermore, resilience played a mediating role between key variables and psychological distress. Implications for supporting the development of resilience in social work students are discussed.

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Authors

Bunce, Louise
Lonsdale, Adam Jonathan
King, Naomi
Childs, Jill
Bennie, Robert

Oxford Brookes departments

Faculty of Health and Life Sciences\Department of Psychology, Health and Professional Development
Faculty of Health and Life Sciences\Department of Sport, Health Sciences and Social Work

Dates

Year of publication: 2019
Date of RADAR deposit: 2019-02-12


Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License


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