Lu Zong-Xiao, Sang Ni, Liu Rong-Chao, Li Bo-Han, Zhang Meng-Yao, Zhang Ming-Hui, Cheng Meng-Cheng, Wu Guo-Cui
School of Nursing, Anhui Medical University, 15 Feicui Road, Hefei, Anhui, China.
Eur J Ageing. 2024 Mar 19;21(1):9. doi: 10.1007/s10433-024-00804-2.
Adequate sleep is closely related to people's health. However, with increasing age, the quality of sleep worsens. At the same time, among elderly individuals, frailty is also a disturbing factor, which makes elderly individuals more vulnerable to negative factors. To explore the relationship between the two, we conducted this study.
In this paper, independent genetic variations related to insomnia, sleep duration and daytime sleepiness were selected as IVs, and related genetic tools were used to search published genome-wide association studies for a two-sample Mendelian randomization (TSMR) analysis. The inverse-variance weighted (IVW) method was used as the main Mendelian randomization analysis method. Cochran's Q test was used to test heterogeneity, MR‒Egger was used to test horizontal pleiotropy, and the MR-PRESSO test was used to remove outliers.
According to our research, insomnia (OR = 1.10, 95% CI 1.03-1.17, P = 2.59e-97), long sleep duration (OR = 0.66, 95% CI 0.37-1.17, P = 0.02), short sleep duration (OR = 1.30, 95% CI 1.22-1.38, P = 2.23e-17) and daytime sleepiness (OR = 1.49, 95% CI 1.25-1.77, P = 0.96e-4) had a bidirectional causal relationship with frailty.
Our research showed that there is a causal relationship between sleep disturbances and frailty. This result was obtained by a TSMR analysis, which involves the use of genetic variation as an IV to determine causal relationships between exposure and outcome. Future TSMR studies should include a larger sample for analysis.
充足的睡眠与人们的健康密切相关。然而,随着年龄的增长,睡眠质量会变差。同时,在老年人中,虚弱也是一个令人困扰的因素,这使得老年人更容易受到负面因素的影响。为了探究两者之间的关系,我们开展了这项研究。
在本文中,选择与失眠、睡眠时间和日间嗜睡相关的独立基因变异作为工具变量,并使用相关基因工具在已发表的全基因组关联研究中进行两样本孟德尔随机化(TSMR)分析。采用逆方差加权(IVW)法作为主要的孟德尔随机化分析方法。使用 Cochr an's Q检验来检验异质性,使用MR-Egger检验来检验水平多效性,并使用MR-PRESSO检验来去除异常值。
根据我们的研究,失眠(OR = 1.10,95%CI 1.03 - 1.17,P = 2.59e - 97)、睡眠时间长(OR = 0.66,95%CI 0.37 - 1.17,P = 0.02)、睡眠时间短(OR = 1.30,95%CI 1.22 - 1.38,P = 2.23e - 17)和日间嗜睡(OR = 1.49,95%CI 1.25 - 1.77,P = 0.96e - 4)与虚弱存在双向因果关系。
我们的研究表明,睡眠障碍与虚弱之间存在因果关系。这一结果是通过TSMR分析获得的,该分析涉及使用基因变异作为工具变量来确定暴露与结局之间的因果关系。未来的TSMR研究应纳入更大的样本进行分析。