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失眠、睡眠时间与焦虑风险:两样本孟德尔随机化研究。

Insomnia, sleep duration, and risk of anxiety: A two-sample Mendelian randomization study.

机构信息

Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, 410078, Hunan, China.

School of Public Health, Peking University, Beijing, 100191, China.

出版信息

J Psychiatr Res. 2022 Nov;155:219-225. doi: 10.1016/j.jpsychires.2022.08.012. Epub 2022 Sep 2.

DOI:10.1016/j.jpsychires.2022.08.012
PMID:36087367
Abstract

BACKGROUND

The effect of insomnia and sleep duration on risk of anxiety has been assessed based on traditional epidemiological studies. However, the inconsistent conclusions do not establish causal associations. This study aimed to explore the causal associations of insomnia, short sleep, and long sleep with anxiety.

METHODS

We used summary statistics from three large-scale genome-wide association studies (GWAS) of European ancestry to perform a two-sample Mendelian randomization (MR) study. MR analyses were mainly conducted with the inverse-variance-weighted (IVW) method. To evaluate the robustness of our findings, we performed the weighted-median approach, the MR-Egger method, and the MR-robust adjusted profile score (MR-RAPS) method for sensitivity analyses.

RESULTS

There was a statistically significant association of genetically predicted insomnia with anxiety using the IVW method (OR = 1.36, 95% CI = 1.23-1.51, P < 0.001). Genetically predicted short sleep was potentially associated with anxiety using IVW method (OR = 1.67, 95% CI = 1.08-2.60, P = 0.022). However, sensitivity analyses did not find the causal association of short sleep with anxiety (all P > 0.053). We did not observe a statistically significant causal association of genetically predicted long sleep with anxiety (OR = 0.91, 95% CI = 0.48-1.74, P = 0.775).

CONCLUSIONS

We found strong evidence that insomnia but not short sleep and long sleep has a causal effect on anxiety. The characteristics of insomnia should be incorporated into anxiety prevention and intervention strategies, which have important public health significance.

摘要

背景

基于传统的流行病学研究,已经评估了失眠和睡眠时间对焦虑风险的影响。然而,不一致的结论并不能确定因果关系。本研究旨在探讨失眠、短睡和长睡与焦虑之间的因果关系。

方法

我们使用了三个欧洲裔人群的大规模全基因组关联研究(GWAS)的汇总统计数据来进行两样本孟德尔随机化(MR)研究。MR 分析主要采用逆方差加权(IVW)法进行。为了评估我们研究结果的稳健性,我们进行了加权中位数法、MR-Egger 法和 MR-robust adjusted profile score(MR-RAPS)法的敏感性分析。

结果

使用 IVW 法,遗传预测的失眠与焦虑之间存在统计学上显著的关联(OR=1.36,95%CI=1.23-1.51,P<0.001)。遗传预测的短睡也可能与焦虑有关,使用 IVW 法(OR=1.67,95%CI=1.08-2.60,P=0.022)。然而,敏感性分析并未发现短睡与焦虑之间存在因果关系(所有 P>0.053)。我们没有发现遗传预测的长睡与焦虑之间存在统计学上显著的因果关系(OR=0.91,95%CI=0.48-1.74,P=0.775)。

结论

我们有强有力的证据表明,失眠而不是短睡和长睡对焦虑有因果影响。失眠的特征应该纳入焦虑预防和干预策略中,这具有重要的公共卫生意义。

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