COVID-19 uncertainty and sleep: the roles of perceived stress and intolerance of uncertainty during the early stage of the COVID-19 outbreak.

COVID-19 uncertainty and sleep: the roles of perceived stress and intolerance of uncertainty during the early stage of the COVID-19 outbreak.
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COVID-19 不确定性和睡眠:在 COVID-19 爆发的早期阶段,感知压力和对不确定性的不容忍所发挥的作用。

DOI:
10.1186/s12888-021-03310-2
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发表时间:
2021-06-14
期刊:
影响因子:
4.4
通讯作者:
Jiao C
Jiao C
中科院分区:
医学2区
文献类型:
--
作者:
Wu D;Yang T;Hall DL;Jiao G;Huang L;Jiao C

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COVID-19疫情带来前所未有的不确定性和压力。本研究旨在描述中国居民在疫情爆发早期的总体睡眠状况,并探讨COVID-19不确定性、不确定性耐受、感知压力和睡眠状况之间的网络关系。在线进行横断面相关调查。在2020年2月7日至14日(封锁的第三周)期间,共有来自中国30个省、市、自治区和国外地区的2534名中国居民接受了调查。对2215名参与者的最终有效数据进行了分析。自我报告措施评估了对COVID-19的不确定性,对不确定性的耐受性,感知压力和一般睡眠状况。采用自举法和路径分析的系列中介分析,检验了不确定性耐受和感知压力在COVID-19不确定性与睡眠状态之间关系中的中介作用。睡眠状况总评分为4.82(SD = 2.72)。年龄、居住地、种族、婚姻状况、感染和检疫状况都与一般睡眠状况显著相关。大约一半的参与者(47.1%)报告在12:00后上床睡觉,23.0%需要30分钟或更长时间才能入睡,30.3%的人总共睡了7小时或更少。对COVID-19的不确定性越高,对不确定性的耐受性越高,两者之间存在显著正相关(r = 0.506,p < 0.001)。中介分析发现,感知压力在COVID-19不确定性和一般睡眠状况之间的关系中起中介作用(β = 0.015,95%C.I. = 0.009-0.021)。然而,IU并不是COVID-19不确定性与睡眠之间关系的重要中介因素(β = 0.009,95% CI =-0.002-0.020)。此外,路径分析的结果进一步表明,对COVID-19的不确定性对睡眠质量有微弱的直接影响(β = 0.043,p < 0.05);然而,通过对不确定性和感知压力的不容忍,对睡眠质量有强烈的间接影响。这些发现表明,对不确定性的不容忍和感知压力是COVID-19不确定性与睡眠结果之间关系的关键因素。本报告在COVID-19疫情背景下讨论了结果,并提供了实际的政策含义。在线版本包含补充材料,可通过10.1186/s12888-021-03310-2获得。
The COVID-19 pandemic brings unprecedented uncertainty and stress. This study aimed to characterize general sleep status among Chinese residents during the early stage of the outbreak and to explore the network relationship among COVID-19 uncertainty, intolerance of uncertainty, perceived stress, and sleep status. A cross-sectional correlational survey was conducted online. A total of 2534 Chinese residents were surveyed from 30 provinces, municipalities, autonomous regions of China and regions abroad during the period from February 7 to 14, 2020, the third week of lockdown. Final valid data from 2215 participants were analyzed. Self-report measures assessed uncertainty about COVID-19, intolerance of uncertainty, perceived stress, and general sleep status. Serial mediation analysis using the bootstrapping method and path analysis were applied to test the mediation role of intolerance of uncertainty and perceived stress in the relationship between uncertainty about COVID-19 and sleep status. The total score of sleep status was 4.82 (SD = 2.72). Age, place of residence, ethnicity, marital status, infection, and quarantine status were all significantly associated with general sleep status. Approximately half of participants (47.1%) reported going to bed after 12:00 am, 23.0% took 30 min or longer to fall asleep, and 30.3% slept a total of 7 h or less. Higher uncertainty about COVID-19 was significantly positively correlated with higher intolerance of uncertainty (r = 0.506, p < 0.001). The mediation analysis found a mediating role of perceived stress in the relationship between COVID-19 uncertainty and general sleep status (β = 0.015, 95%C.I. = 0.009–0.021). However, IU was not a significant mediator of the relationship between COVID-19 uncertainty and sleep (β = 0.009, 95%C.I. = − 0.002–0.020). Moreover, results from the path analysis further showed uncertainty about COVID-19 had a weak direct effect on poor sleep (β = 0.043, p < 0.05); however, there was a robust indirect effect on poor sleep through intolerance of uncertainty and perceived stress. These findings suggest that intolerance of uncertainty and perceived stress are critical factors in the relationship between COVID-19 uncertainty and sleep outcomes. Results are discussed in the context of the COVID-19 pandemic, and practical policy implications are also provided. The online version contains supplementary material available at 10.1186/s12888-021-03310-2.
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