Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, 410078, Hunan, China.
Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, 410078, Hunan, China.
Sleep Med. 2021 Nov;87:85-91. doi: 10.1016/j.sleep.2021.08.025. Epub 2021 Sep 2.
The interactions and associations between insomnia, depressive symptoms, and subjective well-being are complex, thus it is hard to explore the effect and direction of causalities. This bidirectional Mendelian randomization (MR) study was to assess the causal associations of insomnia with depressive symptoms and subjective well-being.
Summary statistics for insomnia, depressive symptoms, and subjective well-being were obtained from three large-scale genome-wide association studies (GWAS) of European ancestry. MR analyses were mainly conducted with the inverse-variance-weighted (IVW) method. The weighted-median method, MR-Egger method, and MR-Pleiotropy RESidual Sum and Outlier (PRESSO) test were adopted to test whether the estimates were robust. The adjusted MR analysis was performed to avoid the effect of potential pleiotropy.
There was evidence to support a causal association between genetically predicted insomnia and depressive symptoms (beta (β) = 0.086, 95% confidence interval (CI) = 0.068 to 0.104, P = 8.6E-21). Meanwhile, genetically predicted depressive symptoms was associated with a higher risk of insomnia (β = 0.543, 95% CI = 0.331 to 0.754, P = 4.8E-07). Genetically predicted insomnia was negatively associated with subjective well-being (β = -0.043, 95% CI = -0.063 to -0.024, P = 1.2E-05). There was evidence of reverse causality between insomnia and subjective well-being (β = -0.821, 95% CI = -1.012 to -0.630, P = 4.0E-17).
MR analysis indicates bidirectional causal associations of insomnia with depressive symptoms and subjective well-being. People should give serious attention to and attempt to resolve the problems of insomnia, depressive symptoms, and subjective well-being, whichever comes first.
失眠、抑郁症状和主观幸福感之间的相互作用和关联很复杂,因此很难探索因果关系的影响和方向。本项双向孟德尔随机化(MR)研究旨在评估失眠与抑郁症状和主观幸福感之间的因果关联。
从三个欧洲血统的全基因组关联研究(GWAS)中获得失眠、抑郁症状和主观幸福感的汇总统计数据。MR 分析主要采用逆方差加权(IVW)法进行。加权中位数法、MR-Egger 法和 MR-Pleiotropy RESidual Sum and Outlier(PRESSO)检验用于检验估计值是否稳健。进行调整后的 MR 分析以避免潜在的混杂效应。
有证据表明,遗传预测的失眠与抑郁症状之间存在因果关联(β=0.086,95%置信区间[CI]:0.068 至 0.104,P=8.6E-21)。同时,遗传预测的抑郁症状与失眠风险增加相关(β=0.543,95%CI:0.331 至 0.754,P=4.8E-07)。遗传预测的失眠与主观幸福感呈负相关(β=-0.043,95%CI:-0.063 至-0.024,P=1.2E-05)。失眠与主观幸福感之间存在反向因果关系的证据(β=-0.821,95%CI:-1.012 至-0.630,P=4.0E-17)。
MR 分析表明失眠与抑郁症状和主观幸福感之间存在双向因果关系。无论哪种情况先出现,人们都应该认真关注并尝试解决失眠、抑郁症状和主观幸福感的问题。