Habitual intake of fermented milk products containing Lactobacillus casei strain Shirota and a reduced risk of hypertension in older people
Bibliographic record
Abstract
This study investigated relationships between the frequent intake of fermented milk products containing Lactobacillus casei strain Shirota (LcS) and the onset of hypertension (resting systemic pressure ≥140 mmHg [systolic]/≥90 mmHg [diastolic], a doctor's diagnosis and/or antihypertensive medicine use) during a 5-year period in 352 communityliving Japanese aged 65 to 93 years (125 men and 227 women). Initially normotensive subjects were divided into two groups (n=254 and n=98) on the basis of their intake of fermented milk products (<3 or ≥3 times/week, respectively), as estimated during an interview by a certified nutritionist. The incidence of hypertension over the 5-year interval was significantly lower in those who took fermented milk products ≥3 rather than <3 times/week (6.1 vs 14.2%, P=0.037). A multivariate-adjusted proportional hazards model predicted that blood pressures were significantly more likely to remain normal over 5 years in subjects who took ≥3 fermented milk products rather than <3 times/ week (relative risk 0.398 [95% confidence interval 0.167-0.948], P=0.037). These results suggest that after adjustment for potential confounders, the risk of developing hypertension is substantially lower in elderly people who take fermented milk products containing LcS at least 3 times a week.
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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 | 0.000 | 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) | 0.001 | 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".