睡眠特征与静脉血栓塞栓症的关联:前性队列和门德尔随机化研究
Yuqian Li1,2, Feifei Sun3, Chao Ji1,2
1Department of Clinical Epidemiology, Shengjing Hospital of China Mdical University, Shenyang, China.
American journal of hematology
|January 31, 2025
概括
坚持健康的睡眠习惯,包括最佳睡眠时间,可显著降低静脉血栓塞栓症 (VTE) 的风险. 睡眠时间短暂与增加VTE风险有因果关系.
科学领域:
- 心血管流行病学心血管流行病学
- 睡眠医学 睡眠医学
- 遗传学 是一个遗传学.
背景情况:
- 之前的研究表明,睡眠障碍与静脉血栓塞栓症 (VTE) 风险之间存在联系,但因果证据有限.
- 了解睡眠特征和VTE之间的关系对于公共卫生干预至关重要.
研究的目的:
- 调查各种睡眠特征与静脉瘤风险之间的关联.
- 使用孟德尔随机化 (MR) 探索睡眠特征和静脉瘤之间的潜在因果关系.
主要方法:
- 利用了来自314,077名无VTE参与者的英国生物库数据,对其进行了12.3年的跟踪.
- 采用考克斯比例危险回归用于观测分析和两个样本的MR,使用逆变量加权方法进行因果推理.
- 评估健康睡眠得分,睡眠时间,失眠,白天嗜睡,打和时间型与静脉瘤风险相关.
主要成果:
- 较高的健康睡眠分数与降低静脉瘤风险相关 (HR:0.70;95% CI:0.61-0.80).
- 对睡眠时间观察到一个U形的关联,短 (≤6h) 和长 (≥9h) 持续时间都会增加静脉瘤风险.
- 过度的白天嗜睡,打和夜间时间型与高静脉瘤风险有关,而MR分析支持睡眠时间短暂的因果关系 (OR:1.24;95% CI:1.04-1.47).
结论:
- 理想的睡眠模式,特别是足够的睡眠时间,对于减轻静脉瘤风险至关重要.
- 睡眠时间短暂表明与静脉瘤风险增加存在因果关系.
- 对睡眠干预的进一步研究可能为VTE预防提供新的策略.
相关概念视频
02:20Correlations
32.6K
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
32.6K
02:19Circadian Rhythms and Gene Regulation
4.0K
The biological clock is involved in many aspects of regulating complex physiology in all animals. It was in 1935 when German zoologists, Hans Kalmus and Erwin Bünning, discovered the existence of circadian rhythm in Drosophila melanogaster. However, the internal molecular mechanisms behind the circadian clock remained a mystery until 1984, when Jeffrey C. Hall, Michael Rosbash, and Michael W. Young discovered the expression of the Per gene oscillating over a 24-hour cycle. In subsequent...
4.0K
01:11Genome-wide Association Studies-GWAS
12.4K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
GWAS does not require the identification of the target gene involved in...
12.4K
01:13Insufficient Sleep and Sleep Deprivation
130
Insufficient sleep refers to not getting the recommended amount of sleep for optimal functioning, even if it's just slightly less than needed. Sleep insufficiency may occur due to lifestyle choices, such as staying up late for social events or work, resulting in routinely getting less sleep than required. For example, consistently sleeping 6 hours when the body needs 7-9 hours can lead to cumulative effects on health and well-being.
Sleep deprivation is a more severe form of sleep loss...
Sleep deprivation is a more severe form of sleep loss...
130
01:24Disorders of Hemostasis
688
Hemostasis, the process that stops bleeding after a blood vessel injury, is crucial for maintaining the integrity of the circulatory system. However, disorders of hemostasis can disrupt this delicate balance, leading to either excessive clotting or bleeding. These disorders can be broadly classified into thromboembolic disorders and bleeding disorders.
Thromboembolic Disorders
Two factors primarily cause thromboembolic conditions.
Thromboembolic Disorders
Two factors primarily cause thromboembolic conditions.
688
01:33Pleiotropy
39.5K
Pleiotropy is the phenomenon in which a single gene impacts multiple, seemingly unrelated phenotypic traits. For example, defects in the SOX10 gene cause Waardenburg Syndrome Type 4, or WS4, which can cause defects in pigmentation, hearing impairments, and an absence of intestinal contractions necessary for elimination. This diversity of phenotypes results from the expression pattern of SOX10 in early embryonic and fetal development. SOX10 is found in neural crest cells that form melanocytes,...
39.5K