Impact of the Traditional Mediterranean Diet on the Framingham Risk Score and the Metabolic Syndrome According to Sex
Bibliographic record
Abstract
BACKGROUND: The traditional Mediterranean diet (MedDiet) has been recognized as a food pattern with beneficial effects on cardiovascular health. However, even if sex-related differences in the cardiovascular response to diet have been previously highlighted, the existence of such differences in the impact of the MedDiet on the global cardiovascular risk has not been yet investigated. This study examined sex differences in the global cardiovascular impact of a 4-week isoenergetic controlled MedDiet using the Framingham risk score and the National Cholesterol Education Program (NCEP) metabolic syndrome criteria. METHODS: This study included 38 men and 32 premenopausal women (24-53 years) who had slightly elevated low-density lipoprotein cholesterol (LDL-C) concentrations (between 3.4 and 4.9 mmol/L) or total cholesterol-to-high-density lipoprotein cholesterol (HDL-C) ratios ≥5.0. Cardiovascular risk factors were measured before and after the controlled MedDiet. RESULTS: A time effect (P=0.04) was found for the Framingham risk score, with both men and women showing a nonsignificant decrease in response to the MedDiet. No time effect was found for the prevalence of the metabolic syndrome and the number of metabolic syndrome criteria that were met by participants (P>0.05). However, a time effect was noted for the continuous metabolic syndrome score (P=0.008), with nonsignificant decreases in both men and women. No sex-by-time interaction was noted for any of variables studied (P>0.05). CONCLUSIONS: Results from this study suggest that the global cardiovascular impact of the MedDiet, as assessed by the Framingham risk score and metabolic syndrome criteria, is not significantly different in men than in premenopausal women in isoenergetic conditions.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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) | 0.002 | 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".