Mediterranean diet, weight loss and features of the metabolic syndrome
Bibliographic record
Abstract
The objective of this study was to examine the efficacy of the Mediterranean diet (MedDiet) under optimally controlled conditions, with and without weight loss, on the cardiometabolic risk profile of male patients with the metabolic syndrome (MetS). Twenty‐six men aged between 24 to 62 years with the MetS (NCEP‐ATP III) consumed a North American control diet for 5 weeks followed by a 5‐week MedDiet, both under weight‐maintaining conditions. They then underwent a 20‐week weight loss phase, after which they consumed the weight stabilizing MedDiet for the second time. All foods were provided to participants during the isocaloric phases of the study. The MedDiet without weight loss decreased total plasma cholesterol (C), LDL‐C and the total/HDL‐C ratio by 7.1%, 9.3% and 6.5% respectively, compared to the control diet (all p<0.05). Body weight was reduced by 8.2% and waist circumference by 8.0 cm during the weight loss phase (p<0.001). The MedDiet with weight loss reduced systolic blood pressure (‐4.6%), diastolic blood pressure (‐9.5%), triglyceride (‐16%), apoB (‐10%) and fasting glucose (‐6.0%) compared to the control diet (all p<0.03). Conclusion The MedDiet leads to significant changes in plasma cholesterol concentrations but weight loss appears to be required for the MedDiet to modify the cardiometabolic risk factors associated with the MetS. Financial support: Canadian Institutes for Health Research.
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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 | 0.001 |
| 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) | 0.001 | 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".