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Record W2395456139

Alexithymia in Patients with Tension-Type Headache

2002· article· en· W2395456139 on OpenAlexaboutno aff
Dong‐In Shin, Byung‐Joo Ham, Hoin Kwon, Gun-Woo Park, Leen Kim, Kwang-Yun Suh

Bibliographic record

VenueSleep Medicine and Psychophysiology · 2002
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaHeadachesTension headacheMigraineToronto Alexithymia ScalePsychologyDepression (economics)Beck Depression InventoryMedicinePhysical therapyPsychiatryAnxiety
DOInot available

Abstract

fetched live from OpenAlex

Objective: Various psychological factors influence the occurrence of tension-type headaches. The aim of this study is to compare the level of alexithymia between tension-type headache patients and normal controls. Methods: Sixty-six subjects with tension-type headaches and 59 controls were studied. The Beck Depression Inventory and Toronto Alexithymia Scale (TAS-20K) were administered to the tension-type headache group and TAS-20K to the normal control group. Results: Compared with normal controls, the tension-type headache group had significantly higher alexithymia scores. There was also significant association between the level of alexithymia and the severity of the depression in tension-type headache patients. Conclusions: These findings suggest that patients with tension-type headaches have difficulty in expressing their emotions. And in patients with tension-type headaches, the more alexithymic they are, the more depressive.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.261
Teacher spread0.242 · 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 source (direct Gemma or distilled Codex), 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
Published2002
Admission routes1
Has abstractyes

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