Dietary intake of peripheral artery disease patients
Bibliographic record
Abstract
Peripheral artery disease (PAD) is one of the most common cardiovascular diseases. Despite high prevalence of PAD, data regarding the dietary patterns of Canadian individuals with PAD is required. Biomarkers are used as an alternative to dietary assessment methods and are generally used to measure true dietary intake. A total of 30 participants with established PAD were recruited for this study. Dietary intakes were estimated using a 3 day food record (3DFR) and food frequency questionnaire (FFQ). Docosahexaenoic acid (DHA) status was analyzed in plasma, plasma PL and RBC membrane PL. The determined mean dietary macronutrient distribution consisted of 18% protein, 33% fat and 47% carbohydrate with 3DFR and 19% protein, 36% fat and 43% carbohydrate with FFQ. The mean intakes using 3DFR and FFQ, respectively, were: saturated fat = 24.2, 22.8 g; sodium = 4156.6, 2852.3 mg; eicosapentaenoic acid (EPA) = 90.0, 50.0 mg and DHA = 128.5, 110.0 mg. FFQ showed significant (p<0.05) correlation (r=0.48) with plasma and plasma PL DHA. As compared to national guidelines, the participants consumed a diet that was 61% higher than National Cholesterol Education Program (NCEP) recommendations for saturated fat. Also, the participants consumed a diet which was 177% and 246% higher than NCEP and the Institute of Medicine (IOM) recommendations for sodium, respectively. Hence, PAD patients should be encouraged to eat a diet that is lower in saturated fat and sodium. None of the participants met the American Heart Association (AHA) recommendations for established cardiovascular disease of 1g of combined EPA and DHA.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".