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Record W1990037857 · doi:10.1016/s0304-3959(99)00295-x

Alexithymia is associated with low tolerance to experimental painful stimulation

2000· article· en· W1990037857 on OpenAlexaboutno aff
Ivan Nyklíček, A.J.J.M. Vingerhoets

Bibliographic record

VenuePain · 2000
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaStimulationMedicinePsychologyClinical psychologyPhysical medicine and rehabilitationPsychotherapistNeuroscience

Abstract

fetched live from OpenAlex

Alexithymics are known to report more somatic complaints than individuals scoring low on alexithymia. It was examined whether alexithymia would also be associated with enhanced sensitivity to an externally administered unpleasant physical stimulus. Forty-one healthy male and female subjects with a mean age of 33.9 years completed the 20-item version of the Toronto Alexithymia Scale and participated in a laboratory protocol consisting of exposure to painful electric stimulation. Multiple stepwise regression analyses revealed that after controlling for sensory threshold, duration of stimulation, and self-reported caffeine consumption, alexithymia predicted significantly pain tolerance level (beta=-0.33, P=0.01). Externally oriented thinking and difficulty identifying feelings, but not difficulty communicating feelings, were responsible for this association. Previous findings and the present results together indicate that alexithymia may be associated with an enhanced sensitivity to both internal (somatic) unpleasant sensations and externally induced pain, suggesting a potential general hypersensitivity to unpleasant stimuli in individuals scoring high on this trait.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.204
Threshold uncertainty score0.999

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 studies0.0000.000
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 head0.010
GPT teacher head0.264
Teacher spread0.254 · 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.

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

Citations96
Published2000
Admission routes1
Has abstractyes

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