Effect of an Oat Bran-Rich Supplement on the Metabolic Profile of Overweight Premenopausal Women
Bibliographic record
Abstract
BACKGROUND/AIMS: A healthy diet is a key factor in the prevention of cardiovascular disease, the leading cause of death for women in industrialized countries. In this regard, soluble fibers may have beneficial effects on the plasma lipoprotein/lipid profile. The objective of the present study was to investigate the plasma lipoprotein/lipid response to dietary fibers in overweight premenopausal women within a randomized controlled trial. METHODS: Following a 2-week run-in phase, 34 premenopausal women (age: 22-53 years) were randomly assigned either to the control group (no supplement) or to the treatment group, which received 2 oat bran-enriched muffins per day (28 g/day of oat bran) during 4 weeks. RESULTS: Supplementation with oat bran had a beneficial effect on plasma HDL-C levels. Indeed, compared to the control group (n = 16), a mean increase in plasma HDL-C levels of 11.2% was observed in women eating the oat bran supplement (n = 18) (p = 0.01), whereas the total cholesterol/HDL-C ratio decreased by 7.0% (p = 0.002). Results were similar after adjustment for age, apo E genotype and weight change. CONCLUSION: These results suggest that oat bran-rich foods have beneficial effect on the metabolic profile of overweight women. Integration of these foods as part of a healthy diet may, therefore, improve the cardiovascular risk profile of women.
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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 | 0.000 |
| 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".