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Validation of the portuguese version of the tampa scale for kinesiophobia heart (TSK-SV heart)

2017· article· en· W2733078240 on OpenAlexaff
Gabriela Lima de Melo Ghisi, Rafaella Zulianello dos Santos, Thiago Renee Felipe, Christiani Decker Batista Bonin, Edson Fonseca Pinto, Felipe Eduardo Fernandes Guerra, Maria Irany Knackfuss, Paul Oh, Magnus Benetti

Bibliographic record

VenueRevista Brasileira de Medicina do Esporte · 2017
Typearticle
Languageen
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsToronto Rehabilitation InstituteUniversity Health Network
Fundersnot available
KeywordsIntraclass correlationCronbach's alphaRehabilitationPortuguesePhysical therapyPsychologyReliability (semiconductor)Brazilian PortugueseConcurrent validityScale (ratio)MedicineInternal consistencyPsychometricsClinical psychologyCartographyGeography

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.458

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.024
GPT teacher head0.338
Teacher spread0.314 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations10
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueRevista Brasileira de Medicina do EsporteSame topicCardiac Health and Mental HealthFrench-language works237,207