Inactivity and Its Associated Factors in Adults Scheduled for Noncardiac Surgery
Bibliographic record
Abstract
Purpose: The aim of this study was to determine the prevalence of physical inactivity and its associated factors in adult patients admitted to hospital for noncardiac surgery. Design: Cross-sectional study. Methods: Five hundred able-bodied patients (age ≥45 years) admitted to hospital, also participants in the VISION study, were recruited before noncardiac surgery. The physical activity level (PAL) was assessed with the International Physical of Activity Questionnaire. Logistic regression analysis was conducted to determine the associations between a number of predetermined factors and physical inactivity. Findings: Overall, 59.8% were inactive. Factors associated with inactivity included age, assistance with activities of daily living, and insulin-dependent diabetes. Conclusion: A substantial number of patients scheduled for noncardiac surgery are inactive. Elderly patients, those needing assistance, and those with long-lasting diabetes may benefit from PAL assessment before surgery. Clinical Relevance: Healthcare providers should identify PALs and monitor for known risk factors to prepare patients for surgical procedures.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| 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) | 0.000 | 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 teacher head, 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".