Cross-Sectional Associations Between Movement Behaviours, Obesity and Metabolic Syndrome in an Out-Patient Population with Suspected Coronary Microvascular Dysfunction
Bibliographic record
Abstract
Background: Coronary Microvascular Dysfunction (CMVD), affects the smaller vasculature and is difficult to diagnose without invasive tests. Little is known about the relationship between movement behaviours and CMVD, which may offer insight for primary prevention and early management. Objective: Examine and compare patterns of obesity, metabolic health, and movement behaviors amongst patients with CMVD and epicardial disease. Methods: The relationship between metabolic health, movement behaviors, and CMVD were estimated by logistic regression (unadjusted and adjusted for confounders). Results: Sleep quality and quantity were significantly worse in those with suspected coronary microvascular dysfunction. Physical activity was not significantly different between referral groups. Interestingly, obese-CMVD patients were 31.7% more likely to have suspected CMVD compared to their normal weight counterparts. Conclusions: Despite a relatively high prevalence of inactivity, sleep disturbance, MetS, and general and abdominal obesity, patterns of lifestyle factors did not materially differ between cases of suspected CMVD and epicardial disease.
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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 | 0.001 |
| 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) | 0.004 | 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".