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Record W7143702274 · doi:10.15100/00023398

<Original> The relationship between the construct of alexithymia and the steps of emotion expression

2022· article· en· W7143702274 on OpenAlexaboutno aff
Toshiko Yasuda, Hiromichi Matsuoka, Ryo Sakamoto, Atsuko Koyama

Bibliographic record

VenueInstitutional Repositories DataBase (IRDB) · 2022
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaToronto Alexithymia ScaleFeelingAssociation (psychology)Construct (python library)Set (abstract data type)Scale (ratio)Affect (linguistics)

Abstract

fetched live from OpenAlex

[Abstract] Background: Alexithymia is a central concept in psychosomatic disorders, but its treatment has not been established. Therefore, in order to clarify the details of the pathogenesis of alexithymia for further treatment, the present study aimed to evaluate the association between alexithymia pathophysiology, classified by the presence or absence of alexithymia as assessed by the 20-item version of The Toronto Alexithymia Scale (TAS-20), and emotional expressive process functioning as assessed by Japanese version of the Difficulties in Emotion Regulation Scale (J-DERS). Methods: From February 2018 to June 2019, first-time patients aged 16 years or older referred to our department were eligible for inclusion, and patients with mental illness, patients who declined to provide information, and those who consented but failed to complete the form were excluded.The comparison between the median J-DERS total and subscale scores of the TAS-20 high-scoring group (defined as ≥52 points) and the TAS-20 low-scoring group (defined as ≤51 points) was set as the primary outcome. J-DERS total score and subscales were used as dependent variables, and multiple linear regression analysis was used to analyze the association with the subscales of the TAS-20. Results: Of the 188 total subjects, 106 (56%) were included in the analysis. On the median total J-DERS score, the TAS-20 high scoring group was significantly higher than the low scoring group. Similarly, a significant difference was seen with each J-DERS subscale. Of the three TAS-20 subscales, only difficulty in identifying feelings correlated with the J-DERS total score and subscales. Conclusions: Although alexithymia has been considered to be a disruption in one of steps of the emotional expression process, the results of our study revealed that alexithymia affects the several emotional expression process. Future research may help treat alexithymia by providing psychotherapy that is commensurate with each step of the emotional expression process.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.209
Threshold uncertainty score0.697

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.031
GPT teacher head0.290
Teacher spread0.259 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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