Evidence map›Paper›PMID 40175487›Full record

ArticleScientific reports2025

Level of personality functioning and maladaptive personality traits in relation to depression and anxiety symptoms in middle and older adults.

Monika Olga Jańczak, Emilia Soroko

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

4 citing papers in PubMed.

  1. Article
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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.

Monika Olga JańczakFaculty of Psychology and Cognitive Science, Adam Mickiewicz University, Poznań, Poland. monika.janczak@amu.edu.pl.
Emilia SorokoFaculty of Psychology and Cognitive Science, Adam Mickiewicz University, Poznań, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A growing body of research suggests that personality pathology underpins various mental disorders and serves as a risk factor for developing emotional disorders such as depression and anxiety. This study examined how levels of personality functioning and pathological traits predict the severity of these symptoms in a community sample of middle and older adults (N = 530). The Generalized Anxiety Disorder Questionnaire, Patient Health Questionnaire, Self and Interpersonal Functioning Scale, and Personality Inventory for ICD-11 were used. Regression analyses revealed that impaired identity and empathy significantly predicted anxiety symptoms, while only identity emerged as a predictor of depression. Self-direction and intimacy did not significantly predict either disorder. Negative Affectivity and Detachment were key predictors of anxiety, while depression was primarily related to Negative Affectivity. Variance partitioning analysis demonstrated that personality functioning and maladaptive traits independently and jointly contribute to symptom severity, with overlapping variance highlighting their interconnected roles in emotional pathology. These findings underscore the importance of assessing both personality functioning and traits when addressing emotional disorders, particularly during middle and late adulthood, a stage characterized by unique psychological and social challenges. Integrating personality assessments into routine mental health care can enhance diagnostic accuracy, improve treatment planning, and optimize outcomes for individuals with depression and anxiety.

Indexed as

AnxietyAnxiety DisordersDepressionPersonalityPersonality DisordersAgedAged, 80 and overFemaleHumansMaleMiddle AgedPersonality InventorySurveys and Questionnaires

Identifiers

PMID40175487
PMCPMC11965400

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.