Early maladaptive schemas as predictors of depressive symptoms and treatment success in an outpatient rehabilitation sample

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Authors: Alexandra Schosser, Daniela Fischer-Hansal, Miriam Traugott-Suchomel, Birgit Senft
Cited by: 1
References: 20

Abstract

Background and objectives Early maladaptive schemas (EMSs) are cognitive–emotional patterns linked to depression. Their role in psychiatric rehabilitation and treatment success remains unclear. This study examines the association between EMSs and depressive symptom severity at admission and its impact on treatment outcomes. Materials and methods A total of 2,568 patients in a 6-week outpatient psychiatric rehabilitation program in Austria were assessed. EMSs were measured using the Young Schema Questionnaire-Short Form 3 (YSQ-S3), and depressive symptoms were measured using the Beck Depression Inventory-Second Edition (BDI-2). Multiple regression analyses determined the predictive value of EMSs on symptom severity and treatment response. Cluster analyses identified schema profiles and their relation to treatment success. Results Higher EMS scores, especially in Disconnection/Rejection and Impaired Autonomy/Performance , correlated with higher depression levels at admission. Regression models explained 46% of symptom variance. However, EMSs had limited predictive value for treatment success, with small effects for Dependence/Incompetence and Subjugation . Cluster analyses showed that patients with high EMSs had more severe symptoms but similar clinical improvement. Discussion EMSs showed a significant influence on the severity of depressive symptoms at admission. However, their impact on treatment success was limited; namely, similar clinical improvement was found in patients with high EMSs.

Fields of Study & Subjects

Personality Disorders and Psychopathology Psychosomatic Disorders and Their Treatments Bipolar Disorder and Treatment

Publication details

Journal / source
Frontiers in Psychiatry
Publisher
Frontiers Media SA
Volume
17
Pages
1698633–1698633
Publication date
28 January 2026
Language
EN