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Record W1994201924 · doi:10.1097/ajp.0b013e3182579c63

Alexithymia and Chronic Pain

2012· article· en· W1994201924 on OpenAlexaboutno aff
Seiko Makino, Mark P. Jensen, Tatsuyuki Arimura, Tetsuji Obata, Kozo Anno, Rie Iwaki, Chiharu Kubo, Nobuyuki Sudo, Masako Hosoi

Bibliographic record

VenueClinical Journal of Pain · 2012
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaMedicineChronic painClinical psychologyPhysical medicine and rehabilitationPsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVES: Alexithymia has been shown to be associated with key pain-related variables in persons with chronic pain from western countries, but the generalizability of these findings across cultures has not been examined adequately. Also, there remain questions regarding the importance of alexithymia to patient functioning over and above the effects of the general negative affectivity. METHODS: Alexithymia, pain intensity, pain interference, depression, anxiety, and pain catastrophizing were measured in 128 Japanese patients with chronic pain. Because of the low internal consistency coefficients for 2 of the alexithymia scales (measuring difficulty describing feelings and externally oriented feelings) in our sample, we limited our analyses to a scale assessing difficulty identifying feelings and the total alexithymia scale score. RESULTS: Although the 20-item Toronto Alexithymia Scale total and the Difficulty Identifying Feelings scale scores were not significantly associated with pain intensity, these scales were associated with pain interference, catastrophizing, and negative affectivity in our sample. However, these associations became nonsignificant when measures of negative affectivity were controlled. DISCUSSION: The findings support the cross-cultural generalizability of significant associations between alexithymia and both pain interference and catastrophizing. However, whether (1) alexithymia influences patient functioning indirectly by its effects on negative affect or (2) the univariate associations found between alexithymia and measures of patient functioning are a byproduct of both being influenced by negative affect needs to be tested using longitudinal and experimental research.

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)0.006
metaresearch head score (Gemma)0.001
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 score0.122
Threshold uncertainty score0.219

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
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)0.0000.000

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 head0.047
GPT teacher head0.377
Teacher spread0.330 · 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

Citations41
Published2012
Admission routes1
Has abstractyes

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