The Effect of Consuming Beans for Four Weeks on Risk Factors for the Metabolic Syndrome
Bibliographic record
Abstract
Regular consumption of beans has been associated with reduced risk of obesity and improved blood lipid profiles. The objective was to determine the effect of consuming 5 cups/week of navy beans on risk factors associated with the metabolic syndrome. Overweight/obese adults (n=16) with BMI of 27‐40 kg/m 2 were asked to consume 5 cups per week of canned navy beans for 4 weeks. Blood glucose and insulin were measured over 60 min after a 75g glucose load. A decrease was found in waist circumference (2.5 cm in females and 2.1 cm in males, p<0.05). The effects of beans on pulse rate, TC and LDL were sex dependent. In females, pulse rate increased, while in males pulse rate decreased. In females, TC and LDL did not change. However in males, both TC and LDL decreased (p<0.05). No changes from the beginning to the end of the study were found in body weight, TG, HDL, C‐reactive protein, HbA1, blood pressure and insulin or glucose area under the curve after the glucose load. In conclusion, regular consumption of navy beans has the potential to reduce risk factors associated with the metabolic syndrome. Supported by Ontario Ministry of Agriculture, Food and Rural Affairs, The Ontario Bean Producers, and H. J. Heinz Canada.
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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) | 0.002 | 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".