The Role of Nutrients in a Dietary Intervention in Improving Blood Cholesterol Profile and Lowering Cardiovascular Risk
Bibliographic record
Abstract
Low-density lipoprotein cholesterol has been positively associated to an increase of cardiovascular risk by a large number of epidemiological studies. On the contrary, high-density lipoprotein cholesterol results inversely related to cardiovascular risk. In this contest plasma total cholesterol and low-density lipoprotein cholesterol concentration, and the total cholesterol – high-density lipoprotein cholesterol ratio seems to be able to predict cardiovascular risk. Diet and its composition affects various plasma cholesterol concentration and their ratios. Particularly, a reduction of saturated fat acids dietary intake is strictly related to both improve of blood lipid profile and reduction of cardiovascular events incidence. On the other hand, the evidences from epidemiologic and clinical studies are consistent in finding that the reduction of cardiovascular risk depends by nutrients used for replacing saturated fat acids. Specifically it has been demonstrated that replacement of saturated fat acids with unsaturated fat acids, either monounsaturated or polyunsaturated ones, is effective in improving cardiovascular risk. On the contrary, saturated fat acids replacement with high glycemic index refined carbohydrate actually increases cardiovascular risk. Despite that, many dietary guidelines do not give any tips about nutrients to use in replacement of saturated fat acids, underestimating the significance. In this perspective Mediterranean diet, represents an attractive dietary pattern for the improvement of blood lipid profile and the reduction of the cardiovascular risk.
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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 | 0.003 | 0.000 |
| 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) | 0.000 | 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".