Nikhil Arora, Ben Michael Brumpton, Bjørn Olav Åsvold, Jan Pål Loennechen, Vegard Malmo, Laxmi Bhatta, Eivind Schjelderup Skarpsno, Rebecca Claire Richmond, Linn Beate Strand
{"title":"一项孟德尔随机研究调查了睡眠特征及其对房颤发病率的共同影响。","authors":"Nikhil Arora, Ben Michael Brumpton, Bjørn Olav Åsvold, Jan Pål Loennechen, Vegard Malmo, Laxmi Bhatta, Eivind Schjelderup Skarpsno, Rebecca Claire Richmond, Linn Beate Strand","doi":"10.1093/eurjpc/zwaf062","DOIUrl":null,"url":null,"abstract":"<p><strong>Background and aims: </strong>Sleep disturbances can induce alterations in functional and electrical properties of the heart, thereby increasing susceptibility to atrial fibrillation (AF). We aimed to test the causal role of different sleep traits and their joint effects on the risk of AF.</p><p><strong>Methods: </strong>We used an observational cohort study design along with one-sample and factorial Mendelian randomization (MR) approaches to test for individual and joint associations of sleep traits (i.e., insomnia symptoms, sleep duration and chronotype) on the risk of AF using UK Biobank and the second survey of the Trøndelag Health Study (HUNT2).</p><p><strong>Results: </strong>One-sample MR analysis showed that genetic predisposition to insomnia symptoms (hazard ratio (HR) 1.14; 95% confidence interval (CI) 1.07, 1.21) and short (≤6 h vs. 7-8 h) sleep duration (HR 1.14; 95% CI 1.04, 1.26) increased the risk of AF in UK Biobank. However these findings (HR 0.95; 95% CI 0.81, 1.11 for insomnia symptoms and HR 1.41; 95% CI 0.57, 3.46 for short sleep duration) were not consistent in HUNT2. Factorial MR analysis showed participants with genetic predisposition to both insomnia symptoms and short sleep duration (HR 1.08; 95% CI 1.03, 1.12) had the highest risk of AF, although there was no evidence of interaction (relative excess risk due to interaction (RERI 0.03; 95% CI -0.03, 0.09). However, this finding (HR 0.96; 95% CI 0.89, 1.04) was not consistent in HUNT2. Participants with genetic predisposition to both a morning chronotype and insomnia symptoms (HR 1.08; 95% CI 1.04, 1.13) and a morning chronotype and short sleep (HR 1.06; 95% CI 1.02, 1.10) had the highest risk of AF in UK Biobank, although there was no evidence of interaction (RERI -0.01; 95% CI -0.07, 0.04 and RERI 0.06; 95% CI -0.01, 0.12, respectively).</p><p><strong>Conclusions: </strong>Our study indicates that insomnia symptoms and short sleep duration are causal risk factors for AF. However, having two sleep traits in combination does not increase risk beyond the additive risk of each individual trait. This reinforces clinical and public health efforts to effectively manage insomnia symptoms and short sleep, in order to mitigate the risk of AF and improve overall cardiovascular health.</p>","PeriodicalId":12051,"journal":{"name":"European journal of preventive cardiology","volume":" ","pages":""},"PeriodicalIF":7.5000,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Mendelian randomization study investigating the role of sleep traits and their joint effects on the incidence of atrial fibrillation.\",\"authors\":\"Nikhil Arora, Ben Michael Brumpton, Bjørn Olav Åsvold, Jan Pål Loennechen, Vegard Malmo, Laxmi Bhatta, Eivind Schjelderup Skarpsno, Rebecca Claire Richmond, Linn Beate Strand\",\"doi\":\"10.1093/eurjpc/zwaf062\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background and aims: </strong>Sleep disturbances can induce alterations in functional and electrical properties of the heart, thereby increasing susceptibility to atrial fibrillation (AF). We aimed to test the causal role of different sleep traits and their joint effects on the risk of AF.</p><p><strong>Methods: </strong>We used an observational cohort study design along with one-sample and factorial Mendelian randomization (MR) approaches to test for individual and joint associations of sleep traits (i.e., insomnia symptoms, sleep duration and chronotype) on the risk of AF using UK Biobank and the second survey of the Trøndelag Health Study (HUNT2).</p><p><strong>Results: </strong>One-sample MR analysis showed that genetic predisposition to insomnia symptoms (hazard ratio (HR) 1.14; 95% confidence interval (CI) 1.07, 1.21) and short (≤6 h vs. 7-8 h) sleep duration (HR 1.14; 95% CI 1.04, 1.26) increased the risk of AF in UK Biobank. However these findings (HR 0.95; 95% CI 0.81, 1.11 for insomnia symptoms and HR 1.41; 95% CI 0.57, 3.46 for short sleep duration) were not consistent in HUNT2. Factorial MR analysis showed participants with genetic predisposition to both insomnia symptoms and short sleep duration (HR 1.08; 95% CI 1.03, 1.12) had the highest risk of AF, although there was no evidence of interaction (relative excess risk due to interaction (RERI 0.03; 95% CI -0.03, 0.09). However, this finding (HR 0.96; 95% CI 0.89, 1.04) was not consistent in HUNT2. Participants with genetic predisposition to both a morning chronotype and insomnia symptoms (HR 1.08; 95% CI 1.04, 1.13) and a morning chronotype and short sleep (HR 1.06; 95% CI 1.02, 1.10) had the highest risk of AF in UK Biobank, although there was no evidence of interaction (RERI -0.01; 95% CI -0.07, 0.04 and RERI 0.06; 95% CI -0.01, 0.12, respectively).</p><p><strong>Conclusions: </strong>Our study indicates that insomnia symptoms and short sleep duration are causal risk factors for AF. However, having two sleep traits in combination does not increase risk beyond the additive risk of each individual trait. This reinforces clinical and public health efforts to effectively manage insomnia symptoms and short sleep, in order to mitigate the risk of AF and improve overall cardiovascular health.</p>\",\"PeriodicalId\":12051,\"journal\":{\"name\":\"European journal of preventive cardiology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":7.5000,\"publicationDate\":\"2025-02-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European journal of preventive cardiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1093/eurjpc/zwaf062\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CARDIAC & CARDIOVASCULAR SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European journal of preventive cardiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/eurjpc/zwaf062","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
引用次数: 0
摘要
背景和目的:睡眠障碍可引起心脏功能和电特性的改变,从而增加心房颤动(AF)的易感性。方法:采用观察性队列研究设计,结合单样本和因子孟德尔随机化(MR)方法,利用UK Biobank和Trøndelag健康研究(HUNT2)的第二次调查,检验睡眠特征(即失眠症状、睡眠持续时间和生物钟)与AF风险的个体和联合关联。结果:单样本MR分析显示失眠症状的遗传易感性(风险比(HR) 1.14;95%置信区间(CI) 1.07, 1.21)和较短的睡眠时间(≤6小时vs. 7-8小时)(HR 1.14;95% CI 1.04, 1.26)增加了英国生物银行房颤的风险。然而,这些发现(HR 0.95;失眠症状的95% CI为0.81,1.11,HR为1.41;95% CI 0.57,短睡眠时间3.46)在HUNT2中不一致。析因磁共振分析显示,参与者具有失眠症状和短睡眠时间的遗传易感性(HR 1.08;95% CI 1.03, 1.12)发生房颤的风险最高,尽管没有相互作用的证据(相互作用导致的相对超额风险(rei 0.03;95% ci -0.03, 0.09)。然而,这一发现(HR 0.96;95% CI 0.89, 1.04)在HUNT2中不一致。具有晨起型和失眠症状遗传易感性的参与者(HR 1.08;95%可信区间为1.04,1.13),早晨睡眠类型和短睡眠(HR 1.06;95% CI 1.02, 1.10)在UK Biobank中发生房颤的风险最高,尽管没有相互作用的证据(rei -0.01;95% CI为-0.07,0.04,rei为0.06;95% CI分别为-0.01,0.12)。结论:我们的研究表明,失眠症状和睡眠时间短是房颤的因果危险因素。然而,两种睡眠特征的结合并不会增加房颤的风险,而是每一种睡眠特征的加性风险。这加强了临床和公共卫生工作,有效地控制失眠症状和睡眠不足,以减轻房颤的风险,改善整体心血管健康。
A Mendelian randomization study investigating the role of sleep traits and their joint effects on the incidence of atrial fibrillation.
Background and aims: Sleep disturbances can induce alterations in functional and electrical properties of the heart, thereby increasing susceptibility to atrial fibrillation (AF). We aimed to test the causal role of different sleep traits and their joint effects on the risk of AF.
Methods: We used an observational cohort study design along with one-sample and factorial Mendelian randomization (MR) approaches to test for individual and joint associations of sleep traits (i.e., insomnia symptoms, sleep duration and chronotype) on the risk of AF using UK Biobank and the second survey of the Trøndelag Health Study (HUNT2).
Results: One-sample MR analysis showed that genetic predisposition to insomnia symptoms (hazard ratio (HR) 1.14; 95% confidence interval (CI) 1.07, 1.21) and short (≤6 h vs. 7-8 h) sleep duration (HR 1.14; 95% CI 1.04, 1.26) increased the risk of AF in UK Biobank. However these findings (HR 0.95; 95% CI 0.81, 1.11 for insomnia symptoms and HR 1.41; 95% CI 0.57, 3.46 for short sleep duration) were not consistent in HUNT2. Factorial MR analysis showed participants with genetic predisposition to both insomnia symptoms and short sleep duration (HR 1.08; 95% CI 1.03, 1.12) had the highest risk of AF, although there was no evidence of interaction (relative excess risk due to interaction (RERI 0.03; 95% CI -0.03, 0.09). However, this finding (HR 0.96; 95% CI 0.89, 1.04) was not consistent in HUNT2. Participants with genetic predisposition to both a morning chronotype and insomnia symptoms (HR 1.08; 95% CI 1.04, 1.13) and a morning chronotype and short sleep (HR 1.06; 95% CI 1.02, 1.10) had the highest risk of AF in UK Biobank, although there was no evidence of interaction (RERI -0.01; 95% CI -0.07, 0.04 and RERI 0.06; 95% CI -0.01, 0.12, respectively).
Conclusions: Our study indicates that insomnia symptoms and short sleep duration are causal risk factors for AF. However, having two sleep traits in combination does not increase risk beyond the additive risk of each individual trait. This reinforces clinical and public health efforts to effectively manage insomnia symptoms and short sleep, in order to mitigate the risk of AF and improve overall cardiovascular health.
期刊介绍:
European Journal of Preventive Cardiology (EJPC) is an official journal of the European Society of Cardiology (ESC) and the European Association of Preventive Cardiology (EAPC). The journal covers a wide range of scientific, clinical, and public health disciplines related to cardiovascular disease prevention, risk factor management, cardiovascular rehabilitation, population science and public health, and exercise physiology. The categories covered by the journal include classical risk factors and treatment, lifestyle risk factors, non-modifiable cardiovascular risk factors, cardiovascular conditions, concomitant pathological conditions, sport cardiology, diagnostic tests, care settings, epidemiology, pharmacology and pharmacotherapy, machine learning, and artificial intelligence.