Evidence map›Paper›PMID 37637074›Full record

ArticlePersonality and individual differences2023

What is the relationship between alexithymia and experiential avoidance? A latent analysis using three alexithymia questionnaires.

Nathan T Torunsky, Sara Knauz, Iris Vilares, Katerina M Marcoulides, Wilma Koutstaal

Open access · hybridAbstract read
In one paragraph

Article in Personality and individual differences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.3field-weighted citation impact, top 7% of its field
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

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. How alexithymia shapes functional networks: Insights from a general population study.European psychiatry : the journal of the Association of European Psychiatrists · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
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 at 1 institution in 1 country.

Nathan T TorunskyDepartment of Psychology, University of Minnesota - Twin Cities, USA.
Sara KnauzDepartment of Psychology, University of Minnesota - Twin Cities, USA.
Iris VilaresDepartment of Psychology, University of Minnesota - Twin Cities, USA.
Katerina M MarcoulidesDepartment of Psychology, University of Minnesota - Twin Cities, USA.
Wilma KoutstaalDepartment of Psychology, University of Minnesota - Twin Cities, USA.
University of Minnesota · US

Funding

Using Computation to Achieve Breakthroughs in NeuroscienceT32MH115886 · NIMH · UNIVERSITY OF MINNESOTA · PI REDISH, A DAVID · 2018 to 2022
$1.7M
NIMH NIH HHS T32 MH115886
6 · The paper itself

Abstract

Alexithymia is a clinically relevant personality trait characterized by poor emotional awareness and associated with several psychological and physical health concerns. Individuals with high alexithymia tend to engage in experiential avoidance and this may mediate psychological distress. However, little is known about what specific processes of experiential avoidance are involved, and the nature of the relation between alexithymia, experiential avoidance, and psychological distress remains unclear at a latent construct level. To examine this relationship at the latent construct level, a representative sample of 693 U.S. adults completed alexithymia (TAS-20, BVAQ, PAQ), general distress (DASS-21), multi-dimensional experiential avoidance (MEAQ), and general health (PROMIS-G-10) questionnaires. Structural equation modeling revealed that alexithymia significantly predicted experiential avoidance (β = 0.966,

Indexed as

AlexithymiaEmotional awarenessExperiential avoidanceGeneral distressStructural equation modeling

Identifiers

PMID37637074
PMCPMC10455047
OpenAlexW4384257602

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.