Alexithymia and Early Maladaptive Schemas in chronic pain patients
Bibliographic record
Abstract
Psychological factors have an impact on subjective pain experience. The aim of this study was to explore the occurrence of alexithymia and Early Maladaptive Schemas in a sample of 271 first visit chronic pain patients of six pain clinics. The patients completed the study questionnaire consisting of the Toronto Alexithymia Scale-20, the Finnish version of the Young Schema Questionnaire short form-extended, the Beck Depression Inventory-II, and pain variables. Alexithymic patients scored higher on Early Maladaptive Schemas and had more pain intensity, pain disability and depression than nonalexithymic patients. Both alexithymia and depression correlated significantly with most Early Maladaptive Schemas. The co-occurrence of alexithymia, Early Maladaptive Schemas and depression seems to worsen the pain experience. Screening of alexithymia, depression and Early Maladaptive Schemas may help to plan psychological treatment interventions for chronic pain patients.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".