Impact of dairy intake on circulating fatty acids and associations with blood pressure: A randomized crossover trial
Bibliographic record
Abstract
BACKGROUND AND AIMS: This study aimed to investigate the effects of high and adequate dairy intake (>4, 2-3 serving/day, respectively) on circulating fatty acids (FAs) and their associations with blood pressure (BP). METHODS AND RESULTS: A randomized crossover clinical trial was conducted with 27 participants (8 women, 19 men) at the CHU de Québec-Université Laval Research Center. Participants were assigned to either a high-dairy (HD) or adequate-dairy (AD) diet for six weeks, followed by a six-week washout period before crossing over. Plasma phospholipid-bound FAs were analyzed using gas chromatography, and BP and arterial stiffness were measured at each visit. Partial correlation analyses, generalized linear mixed models and machine learning techniques were employed to analyze the data. Pentadecanoic acid (15:0) and heptadecanoic acid (17:0) were positively correlated with dairy intake and showed increases after the HD. Palmitic acid (16:0) and total saturated FAs were positively associated with systolic (SBP) and diastolic (DBP), while 17:0 was inversely associated with diastolic BP. CONCLUSIONS: HD was associated with increased 15:0 and 17:0. Notably, 17:0 had an inverse association with diastolic BP, while 16:0 was positively linked. These findings highlight the importance of dietary strategies that incorporate specific FAs to enhance cardiovascular health. REGISTRATION NUMBER: NCT02961179.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".