Abstract 470: Outpatient Community Based Educational Program Reduces Lipids in Two Weeks
Bibliographic record
Abstract
Background: Dyslipidemias are a common problem among Caucasians. Community based lifestyle education programs could be an effective tool to manage lipids. Hypothesis: A community based program could have a positive influence in diet, habits and blood lipids. Study Methods: A group of 23 Caucasian retirees from Canada and America who spend their winters in San Felipe, Baja California, Mexico, participated in a two week program. No food was provided, only educational principles. The town where the program took place is known for having very poor access to fresh produce. This study included an educational component of classes twice a week on diet and lifestyle instruction, plant based cooking classes, menu planning and recipe book distribution. Each participant was evaluated via a food frequency questionnaire. Blood tests were taken at baseline and at the end of the study to measure the fasting serum lipid levels. Laboratory results were reported in mg/dL. Results: From 23 participants (14 females), 19 completed the two-week plant based diet trial. All participants decreased their total cholesterol. Laboratory results at the beginning of the study reported an initial mean, median, mode total cholesterol of 224, 219, 173 (SD 49, SEM 10.2), the initial mean, median, mode LDL cholesterol was 147, 136, 106 (SD 52, SEM 10.9), the initial mean, median, mode HDL cholesterol was 44, 42, 35 (SD 11, SEM 2.2), and the initial mean triglyceride level was 140 (SD 53, SEM 11.3). At the completion of the program the mean, median, mode total cholesterol was 177, 176, 145 (SD 31, SEM 7.1), the end mean, median, mode LDL cholesterol was 122, 124, N/A, (SD 24, SEM 5.5), the end mean, median, mode HDL cholesterol was 36, 35, 35 (SD 10, SEM 2.3), and the end mean triglyceride level was 128 (SD 45, SEM 10.4). The average total cholesterol decreased 21%, LDL decreased 25%, HDL decreased 17% and triglycerides decreased 8%. Conclusion: Even in areas where there is poor produce, a plant based diet is a good way of helping participants with dyslipidemia in a short amount of time. A long term follow up would be advised.
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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 | 0.000 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.015 | 0.001 |
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".