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Record W4387789428 · doi:10.5455/atjmed.2023.08.050

Evaluation of kinesiophobia and pain level in physically disabled individuals

2023· article· en· W4387789428 on OpenAlexaboutno aff
Yusuf Seçgin, Halil Şaban Erkartal, Şeyma Toy, Rukiye Çiftçi

Bibliographic record

VenueThe Atlantic Journal of Medical Science and Research · 2023
Typearticle
Languageen
FieldMedicine
TopicOphthalmology and Visual Health Research
Canadian institutionsnot available
Fundersnot available
KeywordsTrunkPain catastrophizingPhysical therapyPhysical medicine and rehabilitationPopulationMcGill Pain QuestionnairePsychologyMedicineOrthopedic surgeryChronic painVisual analogue scalePsychiatry

Abstract

fetched live from OpenAlex

Aim: An abnormal condition resulting from the absence or improper functioning of an organ in the body is called physical disability. Individuals with physical disabilities face mobility phobia and pain throughout their lives. Based on this hypothesis, this study was conducted to evaluate kinesiophobia and pain levels in physically disabled individuals. Materials and Methods: The study was conducted on 100 individuals with neurological and orthopedic disabilities between the ages of 10-83. The Tampa Kinesiophobia Scale and McGill-Melzack pain questionnaire were administered to the individuals and their kinesiophobia and pain levels were evaluated. Results: As a result of the study, it was observed that the majority of the individuals' pain was localized in the trunk (12.27% in the head, 33.74% in the trunk, 23.31% in the upper extremities, 30.67% in the lower extremities), they described the pain as tiring, and they were afraid of pain recurrence. Conclusion: As a result of the study, it was determined that individuals with physical disabilities face challenges related to pain in their daily lives and have concerns about experiencing pain again. Based on these findings, further research should be conducted to explore effective strategies for managing pain in this population. We believe that such research will contribute to the broader body of knowledge in this field.

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)0.204
metaresearch head score (Gemma)0.025
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.365
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.2040.025
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.529
GPT teacher head0.619
Teacher spread0.090 · 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; both teacher heads agree on what is shown here.

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
Published2023
Admission routes1
Has abstractyes

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