Evidence map›Paper›PMID 41507324›Full record

ArticleScientific reports2026

Structural features of borderline personality organization mediate the links between personality traits and depressive symptoms.

Emilia Soroko, Jerzy Bandel, Arkadiusz Wesołowski, Michał Zięba, Monika Jańczak

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

The trial behind it

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Emilia SorokoAdam Mickiewicz University, Poznań, Poland. soroko@amu.edu.pl.ORCID http://orcid.org/0000-0003-3527-1698
Jerzy BandelAdam Mickiewicz University, Poznań, Poland.ORCID http://orcid.org/0000-0002-7970-3627
Arkadiusz WesołowskiAdam Mickiewicz University, Poznań, Poland.ORCID http://orcid.org/0000-0001-9695-6549
Michał ZiębaSWPS University, Poznań, Poland.ORCID http://orcid.org/0009-0007-8408-6022
Monika JańczakAdam Mickiewicz University, Poznań, Poland.ORCID http://orcid.org/0000-0002-5739-1124

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to examine the associations between personality traits, structural features of borderline personality organization, and depressive symptoms, and to test whether borderline organization dimensions mediate the links between healthy personality traits and depressive symptoms. An online survey was conducted with 709 participants (M age = 29.6; 67.6% female) who completed the Patient Health Questionnaire-9 (PHQ-9), the Borderline Personality Inventory (BPI), and the Big Five Markers Questionnaire (IPIP-BFM-50). Data were analyzed using Pearson's correlations and a generalized linear model (GLM) approach for multiple mediation analysis, controlling for gender. Level of depressive symptoms was strongly associated with lower levels of adaptive personality traits and higher levels of structural features of borderline personality organization. Mediation analyses revealed that primitive defenses and fear of fusion consistently mediated the relationships between most personality traits (especially emotional stability) and depressive symptoms, underscoring their central role as indirect pathways of vulnerability. These findings highlight the central role of low emotional stability and associated structural features of borderline personality organization-particularly primitive defenses and fear of fusion-in shaping depressive symptoms, emphasizing key clinical targets for intervention.

Indexed as

Borderline Personality DisorderDepressionPersonalityAdultFemaleHumansMalePersonality InventorySurveys and QuestionnairesYoung AdultBig fiveBorderline personality organizationDepressive symptomsObject relations theoryPersonality disorders

Identifiers

PMID41507324
PMCPMC12864946

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.