Tendency to Catastrophize Somatic Sensations: Pain Catastrophizing and Anxiety Sensitivity in Predicting Headache
Bibliographic record
Abstract
General catastrophic thinking styles about uncomfortable bodily sensations may predispose the development of common health pathologies, such as persistent headache. The purpose of this research was to explore the relationships between the Pain Catastrophizing (PC) Scale and Anxiety Sensitivity (AS) Index, which measure tendencies to catastrophize pain- and anxiety-related somatic sensations, respectively. A non-clinical sample completed the PC Scale, AS Index, and health outcome questionnaires regarding headache (n = 1018). Results revealed that: (i) AS and PC are empirically separate constructs; (ii) the overlap between PC and AS lies within the domain of fearing physical catastrophe; (iii) AS independently predicts weekly headache, headache pain intensity, and the number of a wide range of physical symptoms associated with headache; and (iv) PC independently predicts the presence of weekly headache. Limitations and implications of this research, as well as recommendations for future research directions are discussed.
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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 | 0.001 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".