Efficacy of a plant sterol‐fortified low fat soy beverage on cholesterol metabolism in normal to mildly‐hypercholesterolemic subjects
Bibliographic record
Abstract
The objective of this study was to evaluate the efficacy of plant sterol‐enriched low‐fat soy milk (PS‐LS) on lipid levels in individuals with normal to elevated low density lipoprotein‐cholesterol (LDL‐C) levels, compared to 1% dairy milk (DM). Thirty‐three subjects (LDL‐C >2.1 mmol/L) were fed a controlled low fat diet supplemented with DM or PS‐LS providing 1.95 g of PS/d, using a cross‐over study. Each dietary phase was 4 wk in duration, separated by a 4 wk wash‐out period. Blood samples were taken at the beginning and the end of each phase. Consumption of PS‐LS lowered ( P <0.0001) plasma total cholesterol (T‐C) levels by 10%, compared to DM feeding (5.26±0.16 vs 5.80±0.17 mmol/L). A 13% reduction ( P <0.0001) in plasma LDL‐C levels was observed following PS‐LS consumption, relative to DM intake (3.20±0.15 vs 3.66±0.15 mmol/L). Compared to the DM control, PS‐LS supplementation lowered T‐C/HDL‐C (P=0.0011) and LDL‐C/HDL‐C (P=0.0008) ratios (T‐C/HDL‐C=4.71±0.27 and 5.05±0.26 for PS‐LS and DM, respectively; LDL‐C/HDL‐C=2.74±0.20 and 3.21±0.20 for PS‐LS and DM, respectively). Results promote the use of PS‐LS as an effective functional food, which may exert more profound cardio‐protective effects, compared to the choice of DM, in normal and hypercholesterolemic populations. Sponsored by WhiteWave Foods Company.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".