Development and Preliminary Validation of the Child Pain Anxiety Symptoms Scale in a Community Sample
Bibliographic record
Abstract
OBJECTIVE: To develop, and provide initial validation of, a 20-item Child Pain Anxiety Symptoms Scale (CPASS), a modified version of the adult 20-item Pain Anxiety Symptoms Scale. METHODS: A community sample of children and adolescents (N = 959) aged 8-18 years completed the CPASS and measures of pain catastrophizing, anxiety sensitivity, and general anxiety. Factor structure was assessed using exploratory and confirmatory factor analyses (EFA and CFA). RESULTS: EFA yielded a one- and a three-factor solution using 17 items of the CPASS. CFA supported a hierarchical model for both a 20-item four-factor solution (based on the adult literature) and a 20-item slightly modified four-factor solution. The CPASS showed excellent internal consistency (Cronbach's alpha = .903) and good construct, discriminant, and concurrent validity. CONCLUSIONS: This study provides support for the relevance of pain anxiety in a community sample of children and adolescents and offers preliminary validity and reliability for the CPASS.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".