Physical activity, sedentary behaviour and their associations with cardiovascular risk in systemic lupus erythematosus
Bibliographic record
Abstract
OBJECTIVE: Using a novel isotemporal substitution paradigm, this study aimed to estimate the cross-sectional associations of objectively measured sedentary behaviour and physical activity (PA) with cardiovascular risk factors among patients with SLE. METHODS: This was a cross-sectional study of adult SLE patients without documented cardiovascular disease (CVD). Cardiovascular risk factors were measured, including BMI, blood pressure, fasting glucose and lipid profile. Ten-year CVD risk was estimated using the American College of Cardiology/American Heart Association risk assessment tool. Time in sedentary behaviour, light PA, and moderate-vigorous PA (MVPA) was measured by accelerometry. We used three linear regression models-single-activity models, partition models, and isotemporal substitution models-to evaluate the associations of time spent at each movement intensity with each CVD risk variable. RESULTS: There were 100 SLE patients [92% female; mean (s.d.) age 52.4 (14.4) years]. Only 11 participants adhered to current PA recommendations (⩾150 MVPA min/week in ⩾10-min bouts). In isotemporal substitution, reallocating 10 min from sedentary behaviour to MVPA was associated with lower systolic (β = -2.15 mmHg; P = 0.01) and diastolic blood pressure (β = -1.56 mmHg; P = 0.01), as well as lower estimated 10-year CVD risk (RR 0.81, 95% CI 0.70, 0.93). Time reallocation from light PA to MVPA was associated with lower diastolic blood pressure (β = -1.45 mmHg; P = 0.01) and lower 10-year CVD risk estimates (RR 0.80, 95% CI 0.69, 0.94). CONCLUSION: Given that reallocating time from other movement intensities to MVPA is associated favourably with lower cardiovascular risk, PA interventions are needed to address suboptimal MVPA levels among SLE patients.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".