In this commentary on the 6 articles comprising this In Session issue on metacognition and mentalizing in the psychotherapeutic treatment of severe mental disorders, we strive to contextualize and bring together salient issues reflected in these articles. In the foreground of our discussion is the point that the commonalities of these and related social cognitive treatments far outweigh their differences. We attempt to pinpoint some of the more specific tailored treatment elements described by the authors and relate these to empirical findings and theoretical and practical problems. Among the key issues addressed in this commentary are conceptual fallacies, therapist transparency, personality disorder and self-harm in adolescence, therapeutic alliance, and a metacognitive-informed group psychotherapy practice for patients with avoidant personality disorder or alexithymia.
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http://dx.doi.org/10.1002/jclp.22154 | DOI Listing |
Psychol Bull
January 2025
Department of Kinesiology, University of North Carolina at Greensboro.
This meta-review provides the first meta-analytic evidence from published meta-analyses examining the effectiveness of acute exercise interventions on cognitive function. A multilevel meta-analysis with a random-effects model and tests of moderators were performed in R. Thirty systematic reviews with meta-analyses (383 unique studies with 18,347 participants) were identified.
View Article and Find Full Text PDFPersonal Disord
January 2025
Laboratoire sur les Interactions Cognition, Action, Émotion (LICAE), UFR STAPS, Universite Paris-Nanterre.
This study aimed to assess measurement invariance for the Five-Factor Inventory for (Oltmanns & Widiger, 2020) across nine national samples from four continents ( = 6,342), and to validate a French translation in seven French-speaking national samples. All were convenience samples of adults. Exploratory factor analyses supported a four-factor structure in the French-speaking Western samples (Belgium, Canada, France, and Switzerland) while a three-factor structure was preferred in the French-speaking African samples (Burkina Faso and Togo), and no adequate structure was found in the Indian sample.
View Article and Find Full Text PDFPersonal Disord
January 2025
Department of Psychology, University of Illinois at Urbana-Champaign.
Schizotypy is a multidimensional construct that is composed of positive, negative, and disorganized dimensions. Historically, disorganized schizotypy, which involves disruptions in thoughts, speech, behavior, and affect, has been relatively understudied and less clearly operationalized than the other dimensions. The present study employed experience sampling methodology to examine the associations of positive, negative, and disorganized schizotypy, as measured by the Multidimensional Schizotypy Scale, with daily life experiences.
View Article and Find Full Text PDFPersonal Disord
January 2025
Faculty of Psychology and Educational Sciences, KU Leuven.
Impairments in mentalizing, the capacity to understand the self and others in terms of intentional mental states, are proposed to play an important role in the emergence of borderline personality disorder (BPD) in adolescence. Although mentalizing problems in adults with BPD have been amply demonstrated, research in adolescence lags behind in terms of both the normative development of mentalizing in adolescence and the relation between different dimensions of mentalizing and adolescent BPD. Therefore, the current study investigated developmental trends and sex-related differences related to different mentalizing dimensions and the associations between mentalizing dimensions and BPD features in a large group of adolescents ( = 456, = 15.
View Article and Find Full Text PDFJ Pers Soc Psychol
January 2025
Booth School of Business, The University of Chicago.
Face stereotypes are prevalent, consequential, yet oftentimes inaccurate. How do false first impressions arise and persist despite counter-evidence? Building on the overgeneralization hypothesis, we propose a domain-general cognitive mechanism: insufficient statistical learning, or Insta-learn. This mechanism posits that humans are quick statistical learners but insufficient samplers.
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