Evidence map›Paper›PMID 40771148›Full record

ArticleJournal of clinical psychology2025

Perfectionism as Possible Predictor for Treatment Success: Preliminary Data From Metacognitive Training for Depression and Suicidal Ideation in an Inpatient Sample.

Nathalie Claus, Jakob Scheunemann, Sönke Arlt, Judith Peth, Jürgen Gallinat, Barbara Cludius, Lena Jelinek

Abstract read
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Article in Journal of clinical psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Nathalie ClausDepartment of Psychology, LMU Munich, Division of Clinical Psychology and Psychological Treatment, Munich, Germany.ORCID 0000-0002-4081-4952
Jakob ScheunemannDepartment of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Sönke ArltDepartment of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Judith PethDepartment of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Jürgen GallinatDepartment of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Barbara CludiusDepartment of Psychology, LMU Munich, Division of Clinical Psychology and Psychological Treatment, Munich, Germany.
Lena JelinekDepartment of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Funding

This study was supported by the Deutsche Bahn Stiftung [FZ_EXT_3_METACOGNITION], the German Federal Ministry of Health [ZMVI1-2517FSB140], and the German Research Foundation [CL 784/2-1].
6 · The paper itself

Abstract

objectivesIn the treatment of depression and suicidal ideation, perfectionism has emerged as a possible predictor of treatment outcome. Some data suggest that cognitive-behavioral therapy outcomes are poorer for more perfectionistic patients. However, findings so far neglect the multidimensionality of perfectionism, and research has yet to be extended to newer treatment approaches.

methodsThe current study comprised secondary analysis of data from inpatients in treatment for depression. We administered measures of perfectionistic concerns and perfectionistic strivings as well as depression and suicidal ideation severity. Patients received 4 weeks of metacognitive training for depression and suicidal ideation (D-MCT/S) in a group setting, alongside a comprehensive inpatient treatment. Hierarchical data over time was submitted to multi-level analysis.

resultsPerfectionistic concerns at baseline negatively predicted depressive symptoms but not suicidal ideation across time points. In exploratory analysis including perfectionistic strivings as an additional predictor, perfectionism dimensions no longer predicted depressive symptoms. A reduction of perfectionistic concerns during treatment did not predict symptoms at follow-up. However, sensitivity analyses revealed significant differences in results based on the choice of symptom control variables.

conclusionsThese results suggest that initial perfectionistic concerns may not prevent patients with depression and suicidal ideation from benefitting from metacognitive treatment. However, the contrast to previous findings may also be explained by differing results when separating the effects of perfectionistic concerns and perfectionistic strivings, as well as the choice of symptom control measure, or limited statistical power. Limitations and avenues for future research are discussed.

Indexed as

Cognitive Behavioral TherapyDepressionMetacognitionOutcome Assessment, Health CarePerfectionismSuicidal IdeationAdultFemaleHumansInpatientsMaleMiddle AgedTreatment OutcomeYoung Adultdepressionmetacognitive trainingperfectionismpsychopathologysuicidal ideationtreatment outcome

Identifiers

PMID40771148
PMCPMC12501822

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.