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Record W4416011167 · doi:10.1097/md.0000000000045599

Cross-cultural adaptation and validation of the Turkish version of the arthritis self-efficacy scale-8 (ASES-8) in patients with knee osteoarthritis

2025· article· en· W4416011167 on OpenAlexaboutno aff
Mehmet Serkan Kılıçoğlu, Buğra İnce, Ozan Volkan Yurdakul, Teoman Aydın

Bibliographic record

VenueMedicine · 2025
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsConfirmatory factor analysisTurkishConstruct validityOsteoarthritisReliability (semiconductor)ValidityCriterion validityExternal validityPsychometrics

Abstract

fetched live from OpenAlex

Self-efficacy plays a key role in managing chronic conditions such as knee osteoarthritis (KOA), and reliable tools are needed to assess it in different languages and cultures. The arthritis self-efficacy scale-8 (ASES-8) is a widely used measure, but a validated Turkish version is not yet available. This study aimed to develop a Turkish version of the ASES-8 and evaluate its validity and reliability. The ASES-8 questionnaire was translated into Turkish following a standardized cross-cultural adaptation process. Initially, the clarity and comprehensibility of the Turkish version were tested in a sample of 10 patients with knee osteoarthritis (KOA). Subsequently, the final version was administered to an additional 80 KOA patients. All participants completed the questionnaire again 7 days later to assess test-retest reliability. Floor or ceiling effects were considered present if more than 15% of participants obtained the lowest (1) or highest (10) possible score on the scale. Construct validity was assessed in accordance with COSMIN guidelines by testing predefined a priori hypotheses regarding correlations between the ASES-8 and related measures, and structural validity through confirmatory factor analysis, testing a 1-factor (unidimensional) model. Reliability was evaluated through internal consistency (Cronbach's α), test-retest reliability (intraclass correlation coefficient), and measurement error (SEMagreement and individual-level smallest detectable change). Confirmatory factor analysis supported the 1-factor structure, showing excellent fit indices (using the relative chi-square index, the goodness-of-fit index, the Tucker-Lewis index, and the normed fit index). The internal consistency was excellent, with a Cronbach's α of 0.968. The test-retest reliability demonstrated strong stability for both the total scores and the individual items. Hypothesis testing for construct validity was established through strong positive correlations with the pain self-efficacy questionnaire and strong negative correlations with the Tampascale of kinesiophobia; the pain catastrophizing scale; the Western Ontario and McMaster Universities Osteoarthritis Index; and the depression, anxiety, and stress subscales of the depression anxiety and stress scale-42 (r = -0.80 to 0.91). No ceiling effect and minimal floor effect were observed at the total score level. The Turkish version of the ASES-8 has demonstrated evidence of validity and reliability for assessing self-efficacy in patients with knee osteoarthritis.

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 imitation

Not 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.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.008
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.015
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.007
GPT teacher head0.241
Teacher spread0.234 · 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 source (direct Gemma or distilled Codex), 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".

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Citations1
Published2025
Admission routes1
Has abstractyes

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