Is "fear of passive movement" a distinctive component of the Fear-Avoidance Model in whiplash?
Bibliographic record
Abstract
OBJECTIVES: Modify the Tampa Scale for Kinesiophobia (TSK) for 'fear of passive motion' beliefs. METHODS: With permission, a 14-item modification, the TSK-PM (passive movement), was created. Test-retest reliability was tested first. Construct validity was tested in chronic whiplash patients by comparing the TSK-PM with the TSK, the Neck Disability Index (NDI) and cervical ranges of motion. RESULTS: The TSK-PM showed high test-retest reliability (r = 0.83) and high correlation with the original TSK (r = 0.84). Low, non-significant correlations were found with other variables. NDI scores were strongly correlated with ranges of motion. CONCLUSIONS: While having high test-retest reliability and a single factor structure, the TSK-PM failed to demonstrate distinctive construct validity vs the original TSK. The original TSK is likely to be sufficient to assess fear of being moved in neck pain patients in a clinical setting. Modifications to the current version of the TSK-PM might improve its construct validity in future studies.
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 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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".