Freeze‐dried strawberry powder lowers total cholesterol and LDL‐cholesterol in females with abdominal adiposity and dyslipidemia
Bibliographic record
Abstract
Strawberry flavonoids are potent antioxidants and anti‐inflammatory agents and have been shown to reduce cardiovascular mortality in prospective studies. In this feeding study we tested the hypothesis that freeze‐dried strawberry powder (FSP) will lower fasting lipids and biomarkers of oxidative stress compared to baseline. Females (n=16) with abdominal adiposity (BMI = 30, waist circumference >35 inches) and elevated lipids (total cholesterol >200 mg/dL, or triglycerides > 150mg/dL) or low high‐density lipoproteins (HDL <50mg/dL) were fed 2 cups of the strawberry drink daily. Each cup had 25g of FSP blended in water. Subjects made 3 days/week visits for 4 weeks. Fasting blood draws, anthropometrics and blood pressure measurements were done at baseline and 4 weeks. FSP significantly reduced total cholesterol and low‐density lipoproteins (LDL)‐cholesterol levels at 4 weeks versus baseline {195.25±6.23mg/dL vs. 205.56±7.18 mg/dL (p=0.017), and 114.93±4.83 mg/dL vs. 124.27±6.37 mg/dL (p= 0.038), respectively}. Oxidized‐LDL showed a decreasing trend at 4 weeks (p=0.123). Thus, freeze‐dried strawberry powder exerts hypocholesterolemic effects and lowers CVD risk factors in obese women. (Funded by CHES, OSU)
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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) | 0.000 | 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) | 0.002 | 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".