Effect of the Mediterranean Diet on the Lipid-Lipoprotein Profile: Is It Influenced by the Family History of Dyslipidemia?
Bibliographic record
Abstract
BACKGROUND/AIMS: To examine whether a family history of dyslipidemia influences the lipid-lipoprotein response to the Mediterranean diet (MedDiet). METHODS: We recruited 36 individuals with a positive family history of dyslipidemia (i.e. having at least one first-degree relative with a diagnosis of dyslipidemia) and 28 individuals with a negative family history of dyslipidemia, aged between 24 and 53 years, who had slightly elevated low-density lipoprotein cholesterol (LDL-C) concentrations (3.4-4.9 mmol/l) or a total cholesterol to high-density lipoprotein cholesterol (HDL-C) ratio≥5.0. Variables related to the lipid-lipoprotein profile were measured before and after a 4-week isocaloric MedDiet during which all foods and drinks were provided to participants. RESULTS: A group by time interaction was noted for plasma total cholesterol concentrations (p=0.03), subjects with a negative family history of dyslipidemia having greater decreases than those with a positive family history of dyslipidemia (-11.3 vs. -5.1%, respectively). Decreases in LDL-C, HDL-C, total cholesterol to HDL-C ratio, LDL-C to HDL-C ratio, apo B, apo A-1, apo A-2 and apo B to apo A-1 ratio were noted, with no difference between groups (p for group by time interaction≥0.11). CONCLUSIONS: Results highlight that inherited susceptibilities to dyslipidemia may explain at least in part the heterogeneity in the cholesterol-lowering effects of the MedDiet.
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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 | 0.001 |
| 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) | 0.000 | 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".