Validation of the portuguese version of the tampa scale for kinesiophobia heart (TSK-SV heart)
Bibliographic record
Abstract
ABSTRACT Introduction: It has been shown that kinesiophobia has a negative influence on the outcomes of cardiac rehabilitation and consequently is important for the clinical setting. Objective: The objective of this study was to translate, culturally adapt, and psychometrically validate the Tampa Scale for Kinesiophobia Heart (TSK-SV Heart) to Brazilian Portuguese. Methods: The Portuguese version was tested in 300 patients in cardiac rehabilitation. Test-retest reliability was assessed by intraclass correlation coefficient, internal consistency by Cronbach’s alpha, and criterion validity was assessed with respect to patients’ education, income, duration of cardiac rehabilitation, and sex. Results: After intraclass correlation coefficient analysis, one item was excluded. All four areas were considered internally consistent (α >0.7). Significant differences between mean total scores and income (p<0.01) supported the criterion validity. Two hundred sixty-nine (89.6%) patients had a high level of kinesiophobia (scores > 37). Conclusions: The Brazilian Portuguese version of TSK-SV Heart demonstrated sufficient reliability, consistency and validity, supporting its use in future studies.
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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 | 0.006 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".