Assessing the synergy between a mediterranean diet and physical activity on cardiometabolic risk: a 2x2 factorial randomized controlled study
Bibliographic record
Abstract
Background and Aims No randomized clinical trial (RCT) using a factorial design has yet tested the hypothesis that a healthy diet and regular physical activity (PA) have synergistic effects on cardiometabolic risk. Objective: to assess the synergy between a Mediterranean diet (MedDiet) and regular PA on postprandial triglyceridemia (TG) and other lipid risk factors. Methods and Results In this 2x2 factorial 16-week RCT, two hundred men and women with abdominal obesity and moderate hypertriglyceridemia (TG≥1.5mmol/L) were randomly assigned to one of four groups: 1-control, 2-MedDiet only, 3-PA only and 4-MedDiet+PA. MedDiet groups were counseled to adhere to a MedDiet and received key MedDiet foods. The PA intervention targeted 150 min/week of moderate intensity exercise (65% of measured VO 2 peak). Controls were asked to maintain their usual dietary and PA habits. Postprandial serum TG was measured 4h after consumption of 35.1g fat/m 2 of body surface area. The dropout rate among participants (mean [SD] age, 53.8 [10.6] years; 75.5% women) was 2.5%. There was a small synergistic effect of the MedDiet and PA on 4h postprandial TG (P interaction =0.025), the MedDiet+PA group exhibiting the lowest post-intervention 4h TG concentrations of all groups. There was also evidence of a small synergistic effect between treatments in reducing apolipoprotein B concentrations (P interaction =0.077) measured on the last day of intervention, which was no longer observed when measured 48 hours after the end of intervention. Conclusion The combination of a MedDiet and regular PA may have small, short-lived synergistic effects on postprandial TG concentrations and other cardiometabolic risk factors.
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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 | 0.015 | 0.011 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.007 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".