Abstract P136: Adherence to the Mediterranean Diet is Associated With Lower Pericardial Fat in African-Caribbean Men
Bibliographic record
Abstract
Introduction: Adherence to a Mediterranean-style diet pattern has been associated with altered body fat distribution among African Americans. To further evaluate these relationships, we investigated associations of adherence to the Alternative Mediterranean Diet (aMED) pattern with fat deposition in an ongoing cohort study of African-Caribbean men. Methods: Diet was assessed from 2014-2017 using a 146-item semi-quantitative food frequency questionnaire in the Tobago Health Study (N = 800, mean age=64.1, mean BMI=27.7). Adherence to the aMED pattern (score range 0-9) was calculated as the following: +1 for intake above the population median for fruits, vegetables, whole grains, nuts, legumes, fish, and monounsaturated:saturated fat ratio; +1 for intake below the population median for red and processed meats; and +1 for alcohol intake between 10-25 grams per day. Walking, TV watching, and smoking were assessed by interviewer-administered questionnaires. Abdominal subcutaneous adipose tissue (SAT), visceral adipose tissue (VAT), and pericardial adipose tissue (PAT) depot volumes were measured in a subset of this cohort (N = 679) using computed tomography. Multiple linear regressions were performed across adherence groups. Results: The average age was 64.1 ± 8.8 years old. After adjusting for age, walking, TV watching, total energy intake, and BMI (for VAT and PAT models only), PAT significantly decreased across increasing aMED adherence groups (P=0.0174), with median PAT being 8% lower in the high-adherence versus low-adherence group. No other fat measure significantly differed by adherence group (Table). Conclusion: Higher adherence to the aMED pattern was significantly associated with reduced PAT, but not with measures of general or central fat, in middle-aged and older African Caribbean men. Further studies are needed on dietary patterns and ectopic fat distribution to fully describe the potential impact of race/ethnicity.
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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 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".