Changes in Visceral Adiposity and Serum Cholesterol with a Novel Viscous Polysaccharide in Japanese Adults with Abdominal Obesity
Bibliographic record
Abstract
OBJECTIVE: Evidence supports the role of dietary fiber in improving metabolic health. PolyGlycopleX (PGX), a viscous functional polysaccharide improves lipidemia and glycemia in healthy adults. Our objective was to examine the effects of PGX on risk factors associated with the metabolic syndrome in Japanese adults with abdominal obesity. DESIGN AND METHODS: Sixty four subjects assigned to 14 weeks of 15 g day(-1) of PGX or placebo were assessed in a randomized, double-blind, placebo-controlled, parallel group trial. At week 0 and 14, primary outcome measures were serum lipids, abdominal adiposity, glucose tolerance and blood pressure. RESULTS: Total and LDL cholesterol were reduced at week 14 with PGX but not placebo (P < 0.05). The reduction in waist circumference at week 14 was greater with PGX versus placebo (P < 0.05). In females, abdominal visceral fat was decreased to a greater extent with PGX versus placebo (P < 0.05). While glucose tolerance worsened with placebo over time, PGX reduced glucose total area under the curve from week 0 to 6 (P = 0.039). Serum concentrations of resistin and IL6 increased slightly in placebo and decreased slightly with PGX . CONCLUSIONS: PGX is a functional fiber that shows promise in reducing risk factors related to the metabolic syndrome in Japanese adults with abdominal obesity.
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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 | 0.001 | 0.001 |
| 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".