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Record W2024429130 · doi:10.1080/02699050902970786

The impact of alexithymia on somatization after traumatic brain injury

2009· article· en· W2024429130 on OpenAlexaboutno aff
Rodger Ll. Wood, Claire Williams, Tania Kalyani

Bibliographic record

VenueBrain Injury · 2009
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaSomatizationDistressPsychologyClinical psychologyEmotional distressTraumatic brain injuryPsychiatryAnxiety

Abstract

fetched live from OpenAlex

INTRODUCTION: High rates of alexithymia have been reported following traumatic brain injury (TBI). Difficulty modulating emotional states has been shown to increase the risk of affective distress and the tendency to express this distress in the form of physical symptoms. The current study therefore examined relationships between alexithymia, affective distress and somatization in a TBI sample. METHOD: Eighty-three patients with TBI completed the Toronto Alexithymia Scale (TAS-20) and the Symptom Checklist (SCL-90-R). RESULTS: Alexithymic individuals reported higher ratings of anxiety, low mood and somatic symptoms. Alexithymia accounted for a significant amount of variance in anxiety, depression and somatization ratings. Scores on sub-scale 1 of the TAS-20 (difficulty identifying feelings) made a significant unique contribution to explaining somatization ratings after controlling for the influence of anxiety and depression ratings. CONCLUSION: Alexithymia after TBI increases the risk of affective disturbance and somatization. It needs to be identified at an early stage to direct rehabilitation interventions and improve prospects for psychosocial outcome.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.957
Threshold uncertainty score0.957

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.043
GPT teacher head0.376
Teacher spread0.333 · 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

Citations38
Published2009
Admission routes1
Has abstractyes

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