Evidence map›Paper›PMID 25429275›Full record

ArticleFrontiers in psychology2014

It's in the mix: psychological distress differs between combinations of alexithymic facets.

Elif Alkan Härtwig, Claudia Crayen, Isabella Heuser, Michael Eid

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 29 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Elif Alkan HärtwigCluster of Excellence "Languages of Emotion," Freie Universität Berlin Berlin, Germany ; Department of Psychiatry, Charitè University Medicine Berlin, Germany.
Claudia CrayenDepartment of Education and Psychology, Freie Universität Berlin Berlin, Germany.
Isabella HeuserCluster of Excellence "Languages of Emotion," Freie Universität Berlin Berlin, Germany ; Department of Psychiatry, Charitè University Medicine Berlin, Germany.
Michael EidCluster of Excellence "Languages of Emotion," Freie Universität Berlin Berlin, Germany ; Department of Education and Psychology, Freie Universität Berlin Berlin, Germany.
Charité - Universitätsmedizin Berlin · DEFreie Universität Berlin · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alexithymia is a personality trait characterized by difficulties in identifying, describing, and communicating one's emotions. The aim of the present study is to examine the usefulness of a typological approach considering the interaction between distinct alexithymic features within a population of high-alexithymic German adults (N = 217). Latent profile analysis (LPA) was employed to test for possible underlying profiles. A 3-profile solution showed the best fit: The profiles can be described as (1) "low": lower load on all facets of alexithymia, (2) "mixed": specific problems on identifying emotions, and (3) "high": higher load on all facets of alexithymia. Moreover, this study tested how these profiles differed in psychological distress. "Mixed" profile, with specific problems on identifying emotions showed the highest levels of psychological distress. The present study suggests the importance of a specific combination of alexithymic features, rather than total alexithymia scores, as a risk factor for psychological distress.

Indexed as

alexithymiaBVAQlatent profile analysispsychological distressSCL-90-RsubtypesTAS-20

Identifiers

PMID25429275
PMCPMC4228974
OpenAlexW2128433833

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.