Abstract P214: The Portfolio Dietary Pattern and Risk of Cardiovascular Disease in US Adults
Bibliographic record
Abstract
Introduction: The plant-based portfolio dietary pattern includes recognized cholesterol-lowering foods shown to improve several cardiovascular disease (CVD) risk factors in clinical trials. Epidemiological evidence on the association between longer-term adherence to the portfolio dietary pattern and CVD risk remains more limited. Objective: To examine whether the portfolio dietary pattern is associated with the risk of total CVD, coronary heart disease (CHD, including myocardial infarction and fatal coronary deaths), and stroke. Methods: Participants included 73,925 women in the Nurses’ Health Study (NHS) (1984-2014), 92,354 women in the NHS2 (1991-2017) and 43,970 men from the Health Professionals Follow-up Study (HPFS) (1986-2016) without CVD and cancer at baseline. Diet was assessed using validated food frequency questionnaires at baseline and every four years using a portfolio diet score (PDS) which positively ranks plant protein (soy & pulses), nuts, viscous fiber sources, phytosterols (mg/day) and plant monounsaturated fat sources, and negatively ranks foods high in saturated fat and dietary cholesterol. Cox proportional hazards regressions were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs), adjusted for covariates. Results: During up to 30 years of follow-up, 16,917 incident CVD cases, including 10,666 CHD cases and 6,473 stroke cases, were documented. After multivariable adjustment of lifestyle and other dietary factors, comparing the highest to the lowest quintile, participants with a higher PDS had a lower risk of total CVD (pooled HR: 0.84; 95% CI: 0.80-0.89, P trend<0.001), CHD (pooled HR: 0.82; 95% CI: 0.76-0.87, P trend<0.001) and stroke (pooled HR: 0.88; 95% CI: 0.81-0.97, P trend=0.001). In addition, a 25-percentile higher PDS was associated with a lower risk of total CVD (pooled HR: 0.91; 95% CI: 0.88-0.93), CHD (pooled HR: 0.89; 95% CI: 0.86-0.92) and stroke (pooled HR: 0.93; 95% CI: 0.89-0.97). Results remained largely consistent across sensitivity and subgroup analyses. Conclusions: Greater adherence to the portfolio dietary pattern was consistently associated with lower risk of CVD, including CHD and stroke, in three large prospective cohorts of U.S. men and 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.003 | 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".