Do biopsychosocial factors predict the level of physical activity in individuals with persistent shoulder pain?
Bibliographic record
Abstract
The objective of this cross-sectional study was to compare the physical activity level between individuals with and without rotator cuff related shoulder pain (RCRSP), and, in individuals with RCRSP, investigate whether biopsychosocial factors are associated with the physical activity level. Seventy-four participants with and 84 participants without RCRSP wore a fitness tracking watch for seven consecutive days to assess physical activity (step count, moderate-to-vigorous physical activity (MVPA)-minutes). Additionally, participants with RCRSP completed questionnaires on their level of pain, disability, and physical activity (short version of the International Physical Activity Questionnaire [IPAQ]), as well as on biopsychosocial factors, including resilience, stress, catastrophizing, anxiety and depressive symptoms, self-efficacy, and social support. Statistical analysis included Mann-Whitney U tests and General Linear Models for group comparisons, as well as multiple regression analyses to explore predictors of physical activity. No significant between-group difference was found concerning step count and MVPA-minutes. Age and depressive symptoms explained 14% of the variance in step count, while age and resilience explained 15% of MVPA-minutes variance. Additionally, resilience was associated with IPAQ (P < 0.05), indicating that higher resilience correlates with greater reported physical activity (odds ratio: 2.32 [1.27, 4.22]). While individuals with RCRSP did not show lower physical activity levels compared to their healthy counterparts, greater physical activity was associated with younger age, lower depressive symptoms, and higher resilience in individuals with RCRSP. Future research should explore whether resilience and physical activity interventions can prevent the transition to persistent RCRSP. • Pain was not a significant determinant of reduced physical activity levels. • Younger age and fewer depressive symptoms were associated with higher step counts in RCRSP patients. • Resilience was associated with increased MVPA-minutes in patients with RCRSP. • Resilience was associated with higher levels of self-reported physical activity in RCRSP patients. • Future studies should explore resilience and activity interventions to prevent RCRS
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".