Solving the Obesity Crisis in Older Adults with the Mediterranean Diet: Policy Brief
Bibliographic record
Abstract
Obesity is a chronic disease classified by excessive accumulation of fat which may impair health. The prevalence of obesity is increasing in most nations worldwide, both developed and developing. At the same time, the aging population is also growing worldwide. In the United States, approximately 38% of adults 60+ years old are obese, with similar trends in Canada and the United Kingdom. Obesity is associated with increased risk of death (mortality) and disease (morbidity) and carries specific risks for older adults, such disability and frailty. It also presents a financial burden. The Mediterranean Diet (MedDiet) is an extensively studied healthy diet pattern which can be used to combat obesity in older populations. Specifically for older adults, the MedDiet has benefits over other common diets or weight-loss interventions. This policy brief provides suggestions specifically for the Canadian population, though they are general enough to be applied to other countries.
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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 | 0.014 | 0.056 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.011 | 0.010 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.042 | 0.031 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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".