Supine sleep position and angina frequency: an analysis from the sleep heart health study
Bibliographic record
Abstract
PURPOSE: Habitual sleep positions might influence cardiovascular function, but its association with cardiovascular risk in the general population remains unknown. This study aimed to examine the relationship between the supine sleep position and the frequency of angina pectoris (angina), a common symptom of ischemic heart disease, and to explore whether body mass index (BMI) or sex moderate this relationship. METHODS: Data from the Sleep Heart Health Study (SHHS) were used. Supine sleep position was quantified as the percentage of total sleep duration spent in the supine position, measured by unattended home polysomnography (PSG) during the first SHHS visit. Angina frequency was defined by the number of episodes over a 15-year follow-up period. Multiple Poisson regression was conducted, adjusting for various conventional cardiovascular disease (CVD) risk factors. RESULTS: . The average time spent in the supine position was 32.4%, and the mean number of angina episodes was 0.48. Longer time in the supine sleep position was independently associated with an increased risk of angina (IRR = 1.003, p < .0001); a 10% increase in supine sleep time was associated with a 3% increase in angina risk. BMI (p = .189) and sex (p = .117) did not significantly moderate this association. CONCLUSION: Sleeping in the supine position was significantly associated with more angina episodes. The study lacked information on other sleep positions. Identifying optimal sleep positions to support cardiovascular health could significantly contribute to CVD prevention.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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".