Dietary Glycemic Index and Glycemic Load in Relation to Measures of Body Weight
Bibliographic record
Abstract
The role of dietary carbohydrates in body weight control is still controversial. We investigated the relationship of the dietary glycemic index (GI) and glycemic load (GL) on body mass index (BMI), waist to hip ratio (WHR) and waist circumference (WC) in a cross‐sectional analysis of 4,721 hospital controls from a cancer case‐control series (Italy, 1991–2002). After allowance for confounding variables the odds ratios for the highest versus the lowest quartile of GI and GL were: 0.65 (95% CI: 0.54–0.78) and 0.85 (95% CI: 0.71–1.02) for BMI>=25, 0.67 (95% CI: 0.51–0.89) and 0.69 (95% CI: 0.52–0.92) for BMI>=30, 0.78 (95% CI: 0.64–0.95) and 0.84 (95% CI: 0.69–1.04) for higher WHR, and 0.69 (95% CI: 0.50–0.94) and 0.70 (95% CI: 0.47–1.03) for higher WC. In conclusion GI and GL were not directly related to measures of body weight in this Mediterranean population.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".