Evidence map›Paper›PMID 36426207›Full record

ArticleAlpha psychiatry2021

The Relationships between Personality Disorders and Early Maladaptive Schemas and the Moderating Role of Gender.

Yusuf Bilge, Gülşah Balaban

Abstract read
In one paragraph

Article in Alpha psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Review
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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

2 authors.

Yusuf BilgeDepartment of Psychology, İstanbul Sabahattin Zaim University, School of Humanities and Social Sciences, İstanbul, Turkey.ORCID https://orcid.org/0000-0003-2754-9119
Gülşah BalabanPhD Program, Department of Psychology, İstanbul Sabahattin Zaim University, İstanbul, Turkey.ORCID https://orcid.org/0000-0002-2412-4249

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The aims of this study were to examine the relationship between personality disorders (PDs) and early maladaptive schemas, to determine the early maladaptive schemas that predict PDs, and to investigate the moderating role of gender in the relationship between PDs and early maladaptive schemas. Methods: The sample consisted of 654 participants, 368 (56.4%) women and 286 (43.6%) men, aged 18-75 years, determined by the convenience sampling method. Data were collected using Coolidge Axis II Inventory Plus Turkish Short Form and Young Schema Questionnaire-Short Form 3. Results: From regression analysis, it was determined that each PD had a specific early maladaptive schema profile. According to the analysis, the schema that predicts the most for paranoid, schizotypal, schizoid, antisocial, borderline, obsessive-compulsive, and avoidant PDs is social isolation/mistrust; for histrionic and narcissistic PDs, the schema is approval seeking, and for dependent PD, it is failure. The analysis related to the moderating role of gender indicated that for women, the emotional deprivation schema is a risk factor for paranoid PD, and the schemas of self-sacrifice, punitiveness, and unrelenting standards are the risk factors for avoidant PD. Conclusion: This study discovered that some early maladaptive schemas were predictors of PDs and that gender had a moderating role in the relationship between these variables. It is thought that paying attention to the moderating role of gender and considering the specific schema profiles of each PD will be beneficial for intervention programs for early maladaptive schemas and understanding the etiology of PDs.

Indexed as

Personality disordersschema therapysex

Identifiers

PMID36426207
PMCPMC9590611

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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.