Evidence map›Paper›PMID 40970408›Full record

ArticleClinical psychology & psychotherapy

Alexithymia as a Bridge Between Negative Affect and Schizotypy: A Cross-Sectional Network Model.

Ercan Ozdemir, Angus MacBeth, Helen Griffiths

Abstract read
In one paragraph

Article in Clinical psychology & psychotherapy. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

2 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

3 authors.

Ercan OzdemirSchool of Health in Social Science, University of Edinburgh, Edinburgh, UK.ORCID https://orcid.org/0000-0002-5276-8367
Angus MacBethSchool of Health in Social Science, University of Edinburgh, Edinburgh, UK.
Helen GriffithsSchool of Health in Social Science, University of Edinburgh, Edinburgh, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSchizotypy provides a theoretically grounded framework for investigating psychosis proneness, reflecting a multidimensional structure that parallels the positive, negative and disorganized symptoms of schizophrenia. Alexithymia, a trait characterized by difficulties in identifying (DIF) and describing feelings (DDF) and a tendency towards externally oriented thinking (EOT), has been robustly linked to schizophrenia. Despite these associations, the relationship between alexithymia and schizotypy remains underexplored. Moreover, given that both constructs are closely associated with negative affect, it is critical to account for this potential confound to estimate their associations accurately.

methodWe employed a cross-sectional design in a non-clinical sample to examine the associations among the dimensions of alexithymia, negative affect and schizotypy. Network models were estimated using Spearman correlations and the EBICglasso method to capture conditionally independent associations.

resultsThe sample (N = 420) was predominantly female (n = 314), with ages ranging from 18 to 37 years (M = 28.72, SD = 4.52). More than half (n = 232) reported receiving mental health treatment, and 127 participants self-reported a personal history of psychosis. DIF and negative schizotypy emerged as central to different clusters in the network. Specifically, DIF served as a bridge linking positive and disorganized schizotypy dimensions to anxiety and stress, whereas negative schizotypy was a central bridge connecting DDF and EOT to depression. These estimates were psychometrically stable.

conclusionOur findings suggest DIF and negative schizotypy as plausible mechanisms of change facilitating emotional attunement and resilience against distress due to unusual self-experiences.

Indexed as

AffectAffective SymptomsSchizotypal Personality DisorderAdolescentAdultCross-Sectional StudiesFemaleHumansMaleModels, PsychologicalYoung Adultalexithymiaemotion regulationnegative affectnetwork modellingschizotypy

Identifiers

PMID40970408
PMCPMC12447372

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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.