Abstract P365: Effects of a Health Partner Intervention on Arterial Health
Bibliographic record
Abstract
Introduction: Lifestyle modification is effective for cardiovascular disease prevention. Whether lifestyle intervention also preserves vascular health is less clear. Our study examined the role of a Health Partner-administered lifestyle intervention on vascular function. Hypothesis: Lifestyle intervention improves and preserves vascular function. Methods: A total of 711 university employees (48±11 years, 66% women, 22.5% Black) enrolled in a program that promoted healthier lifestyles at Emory University. Participants collaborated with a Health Partner to generate a personalized plan focused on achieving ideal health metrics. Anthropometric, laboratory and vascular function measurements were performed at baseline and at 1-year and 2-years of follow-up. Arterial stiffness was assessed by carotid-femoral pulse wave velocity and radial tonometry-derived central augmentation index. Microvascular function was assessed as digital reactive hyperemia index. Flow-mediated dilation was measured using ultrasound. The sample was divided into individuals within the lowest tertile and those in the upper two tertiles for vascular function at baseline. Paired t-test was used to assess the changes in vascular functions at 1 and 2 years of follow-up compared to baseline. Results: At each of the 1-year and 2-year follow-up visits, vascular function improved in the group within the abnormal tertile at baseline. Flow-mediated dilation increased by 1.6% and 2.0% (P<0.001) respectively, pulse wave velocity decreased by 0.85 m/s and 0.93 m/s (P<0.001), central augmentation index was lower by 3.4 and 3.2 (P<0.001), and microvascular function assessed by reactive hyperemia index improved by 0.48 and 0.52 (P<0.001). In those within the upper two tertiles, pulse wave velocity did not significantly change, but flow-mediated dilation and reactive hyperemia index showed significant decline at 2 years of follow up. Conclusion: A personalized, goal directed Health Partner intervention was associated with better vascular stiffness, endothelial and microvascular function in those with baseline abnormal values. These effects were evident at 1 year following enrollment and were sustained for 2 years. Whether the impact of Health Partner intervention on vascular function improves long-term morbidity and mortality needs further investigation in a controlled design.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 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".