Subgroup Analysis in Burnout: Relations Between Fatigue, Anxiety, and Depression

48Citations
Citations of this article
101Readers
Mendeley users who have this article in their library.

Abstract

Several authors have suggested that burned out patients do not form a homogeneous group and that subgroups should be considered. The identification of these subgroups may contribute to a better understanding of the burnout construct and lead to more specific therapeutic interventions. Subgroup analysis may also help clarify whether burnout is a distinct entity and whether subgroups of burnout overlap with other disorders such as depression and chronic fatigue syndrome. In a group of 113 clinically diagnosed burned out patients, levels of fatigue, depression, and anxiety were assessed. In order to identify possible subgroups, we performed a two-step cluster analysis. The analysis revealed two clusters that differed from one another in terms of symptom severity on the three aforementioned measures. Depression appeared to be the strongest predictor of group membership. These results are considered in the light of the scientific debate on whether burnout can be distinguished from depression and whether burnout subtyping is useful. Finally, implications for clinical practice and future research are discussed.

Cite

CITATION STYLE

APA

van Dam, A. (2016). Subgroup Analysis in Burnout: Relations Between Fatigue, Anxiety, and Depression. Frontiers in Psychology, 7. https://doi.org/10.3389/fpsyg.2016.00090

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free