睡眠不佳与类风湿关节炎高风险：来自英国生物银行大型队列研究的证据。
Poor sleep and high rheumatoid arthritis risk: Evidence from large UK Biobank cohort.
作者信息
Yang Yi-Qun, Cao Han-Wen, Yu Xing-Hao, Bo Lin, Deng Fei-Yan, Lei Shu-Feng
机构信息
Collaborative Innovation Center for Bone and Immunology between Sihong Hospital and Soochow University; Center for Genetic Epidemiology and Genomics, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, Jiangsu, P. R. China.
Jiangsu Key Laboratory of Preventive and Translational Medicine for Major Chronic Non-Communicable Diseases, Soochow University, Suzhou, Jiangsu, P. R. China.
出版信息
PLoS One. 2025 Apr 23;20(4):e0318728. doi: 10.1371/journal.pone.0318728. eCollection 2025.
OBJECTIVE
To evaluate the relationship between sleep behaviors and rheumatoid arthritis (RA) risk.
METHODS
First, based on large-scale data from the UK Biobank, we analyzed the associations between multiple sleep factors and RA risk and calculated a poor sleep score (PSS) to assess their combined effect. Then we constructed genetic risk scores (GRS) based on a large genome-wide association study and assessed the interaction or combined effect of sleep and genetic factors on RA risk. Finally, we conducted a case-control study to explore the effect of RA on sleep.
RESULTS
Sleep duration, getting up, napping during the day, insomnia, and daytime dozing were associated with the risk of RA, but no associations were observed for chronotype and snoring with RA. Participants in the high genetic risk and high PSS group had a 363.1% higher risk of developing RA compared to those with low genetic risk and low PSS. We also found that women were more likely than men to be affected by the combined effects of PSS and GRS. In the case-control study, there were statistically significant associations of RA with getting up, PSS grade and PSS.
CONCLUSIONS
Unhealthy sleep patterns were associated with increasing risk of RA among participants with low, intermediate, or high genetic risk.
目的
评估睡眠行为与类风湿关节炎（RA）风险之间的关系。
方法
首先，基于英国生物银行的大规模数据，我们分析了多种睡眠因素与RA风险之间的关联，并计算了一个不良睡眠评分（PSS）以评估它们的综合效应。然后，我们基于一项大型全基因组关联研究构建了遗传风险评分（GRS），并评估了睡眠和遗传因素对RA风险的相互作用或综合效应。最后，我们进行了一项病例对照研究，以探讨RA对睡眠的影响。
结果
睡眠时间、起床时间、白天小睡、失眠和白天打瞌睡与RA风险相关，但未观察到昼夜节律类型和打鼾与RA之间存在关联。与低遗传风险和低PSS的参与者相比，高遗传风险和高PSS组的参与者患RA的风险高363.1%。我们还发现，女性比男性更容易受到PSS和GRS综合效应的影响。在病例对照研究中，RA与起床时间、PSS分级和PSS之间存在统计学上的显著关联。
结论
在低、中或高遗传风险的参与者中，不健康的睡眠模式与RA风险增加相关。
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