1. Sleep Patterns and Traditional Cardiovascular Health Metrics: Joint Impact on Major Adverse Cardiovascular Events in a Prospective Cohort Study
- Author
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Si You, Hai‐Feng Zhang, Shao‐Ling Zhang, Qing‐Yuan Gao, Yang‐Wei Cai, Ze‐Gui Huang, Yu‐Biao Wu, Yang‐Xin Chen, Jing‐Feng Wang, Jing‐Wei Gao, and Pin‐Ming Liu
- Subjects
cardiovascular disease ,cardiovascular health ,Life's Simple 7 ,major adverse cardiovascular events ,sleep patterns ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Background This study examines the association between traditional cardiovascular health (CVH) metrics and major adverse cardiovascular events (MACE) incidence in individuals with diverse sleep patterns. Methods and Results We analyzed data from 208 621 participants initially free of cardiovascular disease (CVD) in the UK Biobank study. Sleep patterns were assessed using scores for chronotype, duration, insomnia, snoring, and daytime dozing. Traditional CVH scores were derived from the Life's Simple 7 metrics. Cox proportional hazards multivariate regression assessed associations between distinct combinations of CVH and sleep scores and MACE, including nonfatal myocardial infarction, nonfatal stroke, and CVD mortality. Over a mean follow‐up of 12.73 years, 9253 participants experienced incident MACE. Individuals with both a healthy sleep pattern and ideal CVH levels had the lowest MACE risk compared with those with a poor sleep pattern and poor CVH levels (hazard ratio, 0.306 [95% CI, 0.257–0.365]; P
- Published
- 2024
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