In Patients with Shoulder Pain Due to Shoulder Impingement Syndrome; the Effect of Psychopathology on Quality of Life and Disability
Bibliographic record
Abstract
This study aims to examine the relationship between pain and disability symptoms, somatosensory amplification, depression, anxiety, problematic personality traits, and quality of life in patients with Subacromial Impingement Syndrome (SIS). In the study, 100 cases diagnosed with SIS were evaluated using the Disabilities of the Arm, Shoulder, and Hand Questionnaire (DASH), Beck Anxiety Inventory (BAI), Beck Depression Inventory (BDI), Toronto Alexithymia Scale (TAS), Somatosensory Amplification Scale (SAS), SF-36 and Eysenck Personality Questionnaire (EPQ). There was a significant positive correlation between DASH scores and SAS (r=0.57, p<0.01), BAI (r=0.30, p<0.01), BDI (r=0.32, p<0.01), and TAS (r=0.33, p<0.01) scores whereas a significant positive correlation was found between BDAS scores and BAI (r=0.45, p<0.01), BDI (r=0.44, p<0.01), TAS (r=0.56, p<0.01) scores. Besides, DASH and SAS scores were significantly correlated with quality-of-life subscale scores (p<0.05). In Hierarchical Regression Analysis, only SF-36 subscales (physical function, bodily pain, mental health) were elucidated to have significant effects in explaining DASH scores (p<0.05), and only TAS scores were established to have significant effects in explaining SAS scores (p<0.05). Pain and disability symptoms are associated with quality of life in patients diagnosed with SIS when the effects of mental problems are controlled. Somatosensory amplification in patients with SIS is closely related to alexithymic symptoms considering the control of the effects of other mental problems and pain and disability symptoms.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".