Evidence map›Paper›PMID 35975468›Full record

ArticleJournal of clinical psychology2023

Personality and mentalization: A latent profile analysis of mentalizing problematics in adult patients.

Giulia Gagliardini, Salvatore Gullo, Arianna Teti, Antonello Colli

Abstract read
In one paragraph

Article in Journal of clinical psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Giulia GagliardiniDepartment of Humanities, "Carlo Bo" University of Urbino, Urbino, Italy.ORCID 0000-0002-3896-162X
Salvatore GulloDepartment of Psychology, Educational Science and Human Movement, University of Palermo Italy, Palermo, Italy.ORCID 0000-0003-4007-6336
Arianna TetiDepartment of Psychology, Educational Science and Human Movement, University of Palermo Italy, Palermo, Italy.ORCID 0000-0003-2110-1655
Antonello ColliDepartment of Humanities, "Carlo Bo" University of Urbino, Urbino, Italy.ORCID 0000-0002-8768-1560

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to investigate the relationship between patients' mentalizing problematics and their personality; specifically, it aimed to identify clusters of individuals characterized by specific patterns of mentalizing imbalances and to analyze the relationship between these and diagnosis of personality disorder (PD), nonmentalizing modes, emotion dysregulation, and interpersonal reactivity.

methodsFour hundred therapeutic dyads were recruited. A part of these (n = 183) only completed clinician-report measures, Mentalization Imbalances Scale, and Modes of Mentalization Scale, while others (n = 217) also completed patients' self-report measures, which were Reflective Functioning Questionnaire, Difficulties in Emotion Regulation Scale, and Interpersonal Reactivity Index.

resultsA latent profile analysis enlightened the presence of four clusters with problematics in the dimensions of mentalization, indicated by cluster names: (1) Affective-self-automatic profile (ASA-P) (with higher percentage of PDs); (2) External profile (E-P) (with lower percentage of PDs); (3) Others-automatic-affective profile (OAA-P); (4) Cognitive-self-automatic profile (CSA-P). Multivariate analysis of variances confirmed that the four clusters differed in relation to the quality of mentalization, emotional dysregulation and interpersonal reactivity, with higher levels of nonmentalization modes, uncertainty about mental states and emotion dysregulation in ASA-P, higher levels of good mentalization in E-P, lower impulsivity in CSA-P, and greater empathic concern in OAA-P.

Indexed as

Borderline Personality DisorderMentalizationAdultHumansImpulsive BehaviorPersonalityPersonality Disordersassessmentmentalizationpersonality disordersreflective function

Identifiers

PMID35975468
PMCPMC10087971

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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 OpenQuestion graph.