title: Subgroup Analysis in Burnout: Relations Between Fatigue, Anxiety, and Depression.
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.
authors: GGZ WNB Mental Health Institute, Research and InnovationHalsteren, Netherlands; Tranzo Scientific Center for Care and Welfare, Tilburg UniversityTilburg, Netherlands.
authors: Arno
authors: A
authors: van Dam
keywords: anxiety; burnout; chronic fatigue syndrome; cluster analysis; depression; diagnosis; fatigue; nosological classification