Abstract P511: Adherence to the Dietary Portfolio is Associated With Lower Cardiovascular Disease Risk in the Women's Health Initiative Study
Bibliographic record
Abstract
Introduction: The Dietary Portfolio is a plant-based dietary pattern of a combination of recognized cholesterol-lowering foods and has been shown to lower a number of cardiovascular disease (CVD) risk factors, including low-density lipoprotein cholesterol, blood pressure and C-reactive protein. However, no studies have assessed if following the Portfolio results in fewer CVD events. Hypothesis: Higher adherence to the Portfolio will be associated with fewer CVD events. Methods: We included 125,389 postmenopausal women from the Women’s Health Initiative Observational Study and Clinical Trials (from 1993 to 2017) who were free of CVD at baseline. Adherence to the Portfolio was assessed using an a priori diet index based on 6 food categories (high in plant protein [soy & pulses], nuts, viscous fiber, plant sterols and monounsaturated fat, and low in saturated fat) that were found to lower CVD risk factors in the Portfolio trials. Adjusted hazard ratios (HRs) and 95% confidence intervals [CIs] for CVD were calculated using Cox regressions. We adjusted for CVD risk & lifestyle factors and potential confounders (see Table 1). Results: During 1,826,176 person-years of follow-up, we documented 11,370 total CVD cases, including 5,739 coronary heart disease (CHD) cases, 4,451 stroke cases, 1,946 heart failure (HF) cases and 935 atrial fibrillation (AF) cases. Comparing the highest to the lowest quartile in the fully adjusted model, higher adherence to the Portfolio was associated with a reduced risk of total CVD (HR=0.89 [95% CI 0.84-0.95]), CHD (0.87 [0.79-0.95]) and HF (0.83 [0.70-0.98]). No association was found with stroke (0.97 [0.87-1.08]) and AF (1.09 [0.87-1.38]). Conclusions: In postmenopausal women, higher adherence to the Portfolio was inversely associated with total CVD, CHD and HF but not stroke or AF. These findings suggest that the Portfolio may assist with CVD, CHD and HF prevention and warrants further investigation. Table 1: Association of the Dietary Portfolio and risk of CVD in Postmenopausal Women
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".