0911 Sleep Duration Is Associated with Subclinical Carotid Plaque Burden
Bibliographic record
Abstract
Abstract Introduction Sleep duration is associated with stroke risk and is one of eight essential components of cardiovascular health according to the American Heart Association. As stroke disproportionately burdens Black and Hispanic populations in the United States, we hypothesized that long and short sleep duration would be associated with greater subclinical carotid atherosclerosis, a precursor of stroke, in the racially and ethnically diverse Northern Manhattan Study (NOMAS). Methods NOMAS is a study of community-dwelling adults that recorded self-reported nightly sleep duration and daytime sleepiness. Carotid plaque presence, total plaque area, and intima media thickness were measured by ultrasound. Linear and logistic regression models examined the cross-sectional associations of sleep duration groups (primary exposure) or daytime sleepiness (secondary exposure) with measures of carotid atherosclerosis. Models adjusted for age, sex, race/ethnicity, education, health insurance, smoking, alcohol use, physical activity, body mass index, hypertension, diabetes, hypercholesterolemia, and cardiac disease. Results The sample (n=1,553) had a mean age of 64.7±8.5 years and was 61.9% female, 64.8% Hispanic and 18.2% non-Hispanic Black. Of the sample, 55.6% had carotid plaque, 22.3% reported nightly short sleep (< 6 hours), 66.6% intermediate sleep (≥6 and < 9 hours), and 11.1% long sleep (≥9 hours). Compared to intermediate sleep, long sleep was associated with greater odds of carotid plaque presence (OR 1.5, 95% CI 1.1-2.2) and greater odds of plaque within the tertile of largest plaque area (OR 1.7, 95% CI 1.0-2.7), each relative to plaque absence after full covariate adjustment. Short sleep was associated with lower odds of plaque within the tertile of largest carotid plaque area but was not associated with plaque presence. Daytime sleepiness was not associated with carotid measures. Conclusion Subclinical carotid atherosclerosis may mediate previously observed relationships between long sleep and increased stroke risk. Support (if any) This work was supported by the National Institutes of Health through grants from the National Institute of Neurological Disorders and Stroke (R37 NS029993, PI: Sacco/Elkind) and the National Institute on Aging (R01 AG067568, PI: Ramos), and by The Evelyn F. McKnight Brain Institute.
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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 | 0.000 | 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) | 0.006 | 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".