Abstract 15951: Psychosocial Wellbeing Does Not Affect Muscle Pain and Quality of Life During Atorvastatin Treatment
Bibliographic record
Abstract
Introduction: HMG-CoA reductase inhibitors (statins) are generally well-tolerated, although muscle weakness and pain have been reported in ~10% of statin users. However, many self-reported muscle side effects are non-specific. As mental health influences self-perception of pain, we sought to assess the effect of baseline well-being and depression on self-reported muscle pain and quality of life (QOL) after 6 months of atorvastatin (ATORVA) 80 mg/d or placebo in healthy, statin-naïve adults. Hypothesis: We hypothesized that lower levels of well-being and higher levels of depression would result in higher self-reported pain that interferes with QOL after statin therapy. Methods: The Psychological General Well-Being Index (Well-Being; n=82) and Beck Depression Inventory (Depression; n=55) were administered at baseline in subjects (aged 59.5+1.2 yrs) from STOMP (Effect of Statins on Skeletal Muscle Performance; Clinical Trials #NCT00609063). Muscle pain (Short-Form McGill Pain Questionnaire [SF-MPG]) and pain that interferes with QOL (Brief Pain Inventory [BPI]), were also measured before and after drug treatment. Results: At baseline, there were no group differences in Well-Being, Depression, or pain measures between groups (ps ≥0.05). Baseline Well-Being correlated with baseline BPI pain severity (r=-0.309, p<0.01) and BPI pain interference with QOL (r=-0.271, p<0.05); including both affective and activity subcomponents (ps<0.05). Baseline Depression correlated with baseline pain (r=0.313, p<0.05). Pain severity and interference with QOL scores were not different between statin users and controls after 6 mo of ATORVA (ps≥0.05). Baseline Well-Being and Depression were not significant predictors of pain after 6 mo of ATORVA (ps≥0.05 for overall effects and interactions). Conclusions: Lower levels of psychosocial well-being and higher levels of depression are associated with greater non-specific muscle pain, however, they are not associated with statin-associated muscle side effects or QOL after 6 mo of ATORVA in otherwise healthy adults. Trial Registration: NCT00609063
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.006 | 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".