Recommended Dairy Intake: Impact on Lipid Profile and Surrogate Markers of Cholesterol Homeostasis in Healthy Adults from Two Canadian Cities
Bibliographic record
Abstract
We assessed the impact of dairy intake on lipid profile and surrogate markers of cholesterol absorption, synthesis, and clearance in a free‐living, randomized, multicentre crossover trial of two 4‐wk dietary phases, DAIY and CONTROL, separated by a 4–8 wk washout, in Winnipeg and Quebec City, Canada. As part of a healthy‐style eating pattern, participants (n= 126) consumed 3 servings/d of conventional dairy products (375 ml/d low‐fat milk, 175 g/d low‐fat yogurt and 30 g/d regular cheddar cheese) or energy‐equivalent control products (290 ml/d fruit juice, 156 ml/d vegetable juice, 20 g/d cashews and 1 cookie). The DAIRY diet had no significant impact on circulating lipids, except for low density lipoprotein (LDL) levels, which were slightly higher relative to the CONTROL diet (2.98 vs. 2.90 mmol/L, P =0.03). This was accompanied by a reduction in plasma phytosterols’ levels (−11.0%, P<0.001) , with no changes in lathosterol and proprotein convertase subtilisin/kexin‐9 (PCSK9) concentrations. These data indicate that the short‐term intake of DAIRY diet had possibly lowered cholesterol absorption, but not synthesis or clearance, in comparison to the CONTROL diet. Although plasma LDL levels were raised subsequent to the dairy consumption, the variability in the response of LDL (range: −1.29 to 1.03 mmol/L) across individuals suggested a genetic determinant. Supported by the Dairy Farmers of Canada. Grant Funding Source : Dairy Farmers of Canada
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".