The Effects of a Six Month Nutrition Intervention on Diet Quality in Persons with or at Risk for the Metabolic Syndrome
Bibliographic record
Abstract
One quarter of the world’s population is thought to have the metabolic syndrome, and first line treatments include dietary strategies for weight loss. Restrictive diet interventions commonly used in research appear to lack long-term sustainability; therefore, other approaches are warranted. The Canadian Healthy Eating Index (CHEI) was used as a framework and outcome measure for a 6-month ad-libitum diet quality intervention that assessed diet quality and key risk factors of the syndrome. Participants (n=23) were randomized to the nutrition program (n=16) or usual care (control) (n=7). Post intervention, CHEI scores increased by 9.1 and 3.4 points intervention and control, respectively (p=0.179). Weight changed by -1.1 and +0.2 kg in intervention and control participants, respectively (p=0.476). No significant differences were observed in blood work. Results suggest a diet quality focused ad-libitum nutrition program may offer an alternative to traditional restrictive approaches to diet interventions.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".