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Record W3003164607

Diz Osteoartritli Hastalarda Kinezyofobi, Ağrı, Fonksiyonel Durum ve Öz-Etkililik Arasındaki İlişkinin İncelenmesi

2019· dissertation· tr· W3003164607 on OpenAlexaboutno aff
Nurhayat Korkmaz

Bibliographic record

VenueHacettepe University Institutional Repository (hacettepe.edu.tr) · 2019
Typedissertation
Languagetr
FieldMedicine
TopicFibromyalgia and Chronic Fatigue Syndrome Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGynecology
DOInot available

Abstract

fetched live from OpenAlex

Korkmaz N.,Investigation of the Relationship Between Kinesiophobia, Pain, Functional Status and Self-Efficacy in Patients with Knee Osteoarthritis. Hacettepe University, Graduate School of Health Sciences, Physiotherapy and Rehabilitation Programme, Master Thesis, 2019. The aim of this study was to investigate the relationship between kinesophobia, pain, functional status and self-efficacy in patients with knee osteoarthritis and to investigate whether these parameters are proportional to the severity of knee osteoarthritis. The study was performed between April 2018 - February 2019 at Hacettepe University on Stage 2 and Stage 3 knee osteoarthritis diagnosed by the Kellgren Lawrence classification, and on control group volunteer individuals(n=108). Physical characteristics and sociodemographic information of the individuals were recorded. Tampa Scale of Kinesophobia (TSK) was used to evaluate kinesiophobia, and Visual Analogue Scale (VAS) was used for pain. For functional status, the Western Ontario and McMaster Universities Arthritis Index (WOMAC), 30 sec sit to stand test (STS), Manual Muscle Test, Universal Goniometer, 10 m Walk Test(10mWT), Tinetti Balance and Gait Test (TBT&TGT), Single Leg Stand Test (SLST) was used. Self-efficacy was assessed using the Self-Efficacy Scale for Arthritis (ASES). As a result, a positive correlation was found between WOMAC and TSK results of knee OA patients(p = 0.048; r = 0.332). The results of the ASES were negatively correlated with TSK and WOMAC(p = 0.002; r = 0.499, p = 0.000; r = 0.580). There was also negative correlation between WOMAC and TBT&TGT(p<0.05). The SLST was found to be negatively correlated with WOMAC, and positively with ASES results(p<0.05). The BMI and TSK values of the stage 3 were higher than those of the stage 2 and lower ASES, TBT&TGT values were found. It is thought that the results obtained from the study may change according to the fear and avoidance of the knee osteoarthritis patients, their belief that they can do it themselves, and the extent to which radiological results are reflected on the physical condition of the person will inform the physiotherapists and other health professionals. \nKeywords: Self-Efficacy, Osteoarthritis, Kinesophobia, Pain, Functional Status

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)0.001
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.014
GPT teacher head0.247
Teacher spread0.232 · 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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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