A systematic review of evidence about the role of alexithymia in chronic back pain
Bibliographic record
Abstract
Individuals with alexithymia struggle to make sense of their emotions. Alexithymia has been associated with a range of physical illnesses, but may influence different illnesses differently, so to understand the role of alexithymia in illness it is important to focus on specific conditions. This article reviews evidence from ten reports published between 2000 and 2018 of studies with samples of adults with chronic back pain that used the Toronto Alexithymia Scale (TAS). The studies were conducted in Germany, Israel, Italy, Russia, Turkey and the US. Eight studies involved clinical samples and two involved public transit workers. Studies that compared participants with high and low alexithymia consistently found associations with measures of pain. The findings show that more severe alexithymia plays a role in the experience of chronic back pain, and support the incorporation of alexithymia-related elements in interventions to help people with chronic back pain improve their emotional regulation and reduce their pain-related distress.
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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 | 0.005 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.005 |
| Bibliometrics | 0.010 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".