| Title: | Associations of Accelerometer-measured Sleep Duration with Incident Cardiovascular Disease and Cardiovascular Mortality |
| Journal: | Sleep |
| Published: | 12 Jul 2024 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/38995667/ |
| DOI: | https://doi.org/10.1093/sleep/zsae157 |
Publication 11663
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Abstract
STUDY OBJECTIVES: This study aimed to determine the associations between accelerometer-measured sleep durations and the risks of incident cardiovascular disease (CVD) and CVD-related mortality.</p>
METHODS: A total of 92,261 participants (mean age: 62.4±7.8 years, 56.4% female) were included in UK Biobank between 2013 and 2015. Average daily sleep durations were measured using wrist-worn accelerometers over a seven-day period. Sleep durations were categorized as <7 hours/day, 7-9 hours/day (reference), and >9 hours/day. The incidence of CVD and CVD-related mortality were ascertained by hospital records and death registries.</p>
RESULTS: During a median follow-up period of 7.0 years, a total of 13,167 participants developed CVD, and 1,079 participants died of CVD. Compared with a sleep duration 7-9 hours/day, an accelerometer-measured sleep duration <7 hours/day but not >9 hours/day was associated with higher risks of incident CVD (HR 1.06, 95% CI: 1.02-1.10), CVD-related mortality (HR 1.29, 95% CI: 1.14-1.47), coronary heart disease (HR 1.11, 95% CI: 1.03-1.19), myocardial infarction (HR 1.14, 95% CI: 1.03-1.27), heart failure (HR 1.20, 95% CI: 1.08-1.34), and atrial fibrillation (HR 1.15, 95% CI: 1.07-1.24). A curvilinear dose-response pattern was observed between accelerometer-measured sleep durations and incident CVD (Poverall<0.001), with L-shaped associations found for incident CVD and CVD-related mortality.</p>
CONCLUSIONS: An accelerometer-measured sleep duration <7 hours/day but not >9 hours/day was associated with elevated risks of incident CVD and CVD-related mortality. Maintaining adequate sleep may help promote cardiovascular health.</p>
9 Authors
- Mingqing Zhou
- Yannis Yan Liang
- Sizhi Ai
- Hongliang Feng
- Yujing Zhou
- Yaping Liu
- Jihui Zhang
- Fujun Jia
- Binbin Lei
1 Application
| Application ID | Title |
|---|---|
| 58082 | Using Mendelian Randomization to investigate the causal associations between rest-activity patterns and common diseases |
Enabling scientific discoveries that improve human health