Impact of dairy consumption on essential hypertension: a clinical study
Bibliographic record
Abstract
BACKGROUND: Several studies have presented evidence suggesting that dairy consumption has beneficial effects on blood pressure (BP) in healthy subjects; however, only a few studies have examined this possibility in patients with established essential hypertension using ambulatory blood pressure monitoring. The objective of this study was to investigate how consuming dairy products impacts mean daytime systolic and diastolic BP in men and women with mild to moderate essential hypertension. METHODS: Eighty-nine men and women with systolic BP ≥ 135 mm Hg and ≤ 160 mm Hg and diastolic BP ≤ 110 mm Hg were enrolled in this single-blind, randomized, cross-over, controlled study. Participants had to incorporate three daily servings of dairy products or control products equivalent in macronutrients and sodium during four-week treatment phases. Twenty-four hour ambulatory BP and endothelial function were assessed at screening and at the end of each dietary phase. RESULTS: The consumption of three daily servings of dairy products led to a significant reduction in mean daytime ambulatory systolic BP (-2 mm Hg; P = 0.05) in men compared with readings after the control phase. In women, dairy consumption had no effect on ambulatory systolic BP. Moreover, endothelial function was significantly improved by dairy consumption in the whole cohort. CONCLUSION: These data indicate that the consumption of three daily servings of dairy products have beneficial effects on daytime systolic ambulatory BP compared to a heart-healthy, dairy-free, diet in men with mild to moderate essential hypertension. TRIAL REGISTRATION: This trial is registered at clinicaltrials.gov as NCT01776216.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".