Hao Zhao, Xiaojie Wang, Lan Guo, Xiuwen Li, Kayla M Teopiz, Roger S McIntyre, Wanxin Wang, Ciyong Lu
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引用次数: 0
Abstract
Background: Observational studies have reported that sleep is associated with the risk of major depressive disorder (MDD) and cardiovascular diseases (CVDs). However, the causal relationships among various sleep traits remain contentious, and whether MDD mediates the impact of specific sleep traits on CVDs is unclear.
Methods: We performed two-sample Mendelian randomisation analyses to explore whether insomnia, sleep time, daytime napping, daytime sleepiness, chronotype, snoring or obstructive sleep apnoea were causally associated with the risk of five CVDs, including coronary artery disease (CAD), myocardial infarction (MI), heart failure (HF), atrial fibrillation and stroke. Mediation analyses were performed to assess the proportion mediated by MDD.
Results: Genetically predicted insomnia, short sleep, daytime napping and daytime sleepiness increased the risk of CVDs, with the OR ranging from 1.24 (95% CI 1.06 to 1.45) for insomnia on stroke to 1.55 (95% CI 1.28 to 1.89) for insomnia on MI. In contrast to short sleep, genetically predicted sleep duration decreased the risk of CAD (OR 0.88 (95% CI 0.80 to 0.97)), MI (OR 0.89 (95% CI 0.80 to 0.99)) and HF (OR 0.90 (95% CI 0.83 to 0.98)). However, we found no significant associations of long sleep, chronotype, snoring and obstructive sleep apnoea with increased risk for any CVD subtype. Additionally, the effect of insomnia was partially mediated by MDD for the risk of CAD (proportion mediated: 8.81% (95% CI 1.20% to 16.43%)), MI (9.17% (95% CI 1.71% to 16.63%)) and HF (14.46% (95% CI 3.48% to 25.45%)). Similarly, the effect of short sleep was partially mediated by MDD for the risk of CAD (8.92% (95% CI 0.87% to 16.97%)), MI (11.43% (95% CI 0.28% to 22.57%)) and HF (12.65% (95% CI 1.35% to 23.96%)). MDD also partially mediated the causal effects of insomnia on stroke, sleep duration on CAD, MI and HF, daytime napping on HF and daytime sleepiness on CAD.
Conclusions: Our study provides evidence that genetically predicted insomnia, short sleep, frequent daytime napping and sleepiness are associated with a higher risk of certain CVD subtypes, partly mediated by MDD.
背景:观察性研究报道睡眠与重度抑郁症(MDD)和心血管疾病(cvd)的风险相关。然而,各种睡眠特征之间的因果关系仍然存在争议,并且MDD是否介导特定睡眠特征对cvd的影响尚不清楚。方法:我们进行了两样本孟德尔随机分析,以探讨失眠、睡眠时间、白天午睡、白天嗜睡、睡眠类型、打鼾或阻塞性睡眠呼吸暂停是否与五种心血管疾病的风险有因果关系,包括冠状动脉疾病(CAD)、心肌梗死(MI)、心力衰竭(HF)、心房颤动和中风。进行中介分析以评估MDD介导的比例。结果:基因预测的失眠、睡眠不足、白天打盹和白天嗜睡增加了心血管疾病的风险,中风失眠的OR范围为1.24 (95% CI 1.06至1.45),心肌梗死失眠的OR范围为1.55 (95% CI 1.28至1.89)。与短睡眠相比,基因预测的睡眠时间降低了冠心病(OR 0.88 (95% CI 0.80至0.97))、心肌梗死(OR 0.89 (95% CI 0.80至0.99))和心衰(OR 0.90 (95% CI 0.83至0.98))的风险。然而,我们没有发现长时间睡眠、睡眠类型、打鼾和阻塞性睡眠呼吸暂停与任何CVD亚型的风险增加有显著关联。此外,失眠的影响部分由MDD介导CAD(比例介导:8.81% (95% CI 1.20%至16.43%)),MI (9.17% (95% CI 1.71%至16.63%))和HF (14.46% (95% CI 3.48%至25.45%))的风险。同样,睡眠不足对冠心病(8.92% (95% CI 0.87% ~ 16.97%)、心肌梗死(11.43% (95% CI 0.28% ~ 22.57%)和心衰(12.65% (95% CI 1.35% ~ 23.96%)风险的影响部分由重度睡眠不足介导。MDD还部分介导了失眠对中风的因果效应,睡眠时间对CAD、MI和HF的因果效应,白天午睡对HF的因果效应和白天嗜睡对CAD的因果效应。结论:我们的研究提供了基因预测的失眠、睡眠不足、频繁的白天小睡和嗜睡与某些CVD亚型的高风险相关的证据,部分由重度抑郁症介导。
期刊介绍:
Open Heart is an online-only, open access cardiology journal that aims to be “open” in many ways: open access (free access for all readers), open peer review (unblinded peer review) and open data (data sharing is encouraged). The goal is to ensure maximum transparency and maximum impact on research progress and patient care. The journal is dedicated to publishing high quality, peer reviewed medical research in all disciplines and therapeutic areas of cardiovascular medicine. Research is published across all study phases and designs, from study protocols to phase I trials to meta-analyses, including small or specialist studies. Opinionated discussions on controversial topics are welcomed. Open Heart aims to operate a fast submission and review process with continuous publication online, to ensure timely, up-to-date research is available worldwide. The journal adheres to a rigorous and transparent peer review process, and all articles go through a statistical assessment to ensure robustness of the analyses. Open Heart is an official journal of the British Cardiovascular Society.