In-Depth Characterization of Sleep Patterns Among People with Insomnia During the Pandemic of COVID-19.

Current Health Sciences Journal Pub Date : 2021-04-01 Epub Date: 2021-06-30 DOI:10.12865/CHSJ.47.02.02
Amin Nakhostin-Ansari, Samaneh Akbarour, Khosro Sadeghniiat Haghighi, Zahra Banafsheh Alemohammad, Farnaz Etesam, Arezu Najafi
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Abstract

Background: The effects of the COVID-19 pandemic on sleep duration and insomnia have been well studied in different studies. However, there is no study available on the characteristics of insomnia during the pandemic. This study aimed to evaluate the characteristics of insomnia experienced by the general Iranian population during the COVID-19 pandemic.

Methods: A cross-sectional community-based study was designed. We designed an online questionnaire and sent it to Iranian people via available social platforms. The questionnaire contained questions on the socio-demographic characteristics of the participants. We used Fear of COVID-19 scale (FCV-19), Insomnia Severity Index (ISI), Patient Health Questionnaire-2 (PHQ-2), and Generalized Anxiety Disorder Scale-2 (GAD-2) for detailed characterization of insomnia and its symptoms.

Results: In total, 675 people with insomnia with the mean age of 40.28 years (SD=11.15) participated in our study. Prevalence of difficulty initiating sleep (DIS), difficulty maintaining sleep (DMS), and early morning awakening (EMA) were 91.4%, 86.7%, and 77%, respectively. DIS, DMS, and EMA were more common in people with depression and anxiety. FCV-19 score was higher in those with more severe types of DIS, DMS, and EMA (P<0.001). FCV-19 was a risk factor for all patterns of insomnia (OR=1.19, 1.12, 1.02 for DIS, DMS, and EMA, respectively).

Conclusion: Fear of COVID-19 is a major contributing factor to insomnia patterns. Investigation of COVID-19 fear in people with insomnia and the addition of attributed relieving or management strategies to conventional management of insomnia are reasonable approaches to improve the sleep condition of people in the pandemic.

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COVID-19大流行期间失眠症患者睡眠模式的深入表征
背景:不同的研究已经很好地研究了COVID-19大流行对睡眠时间和失眠的影响。然而,目前还没有关于大流行期间失眠特征的研究。本研究旨在评估2019冠状病毒病大流行期间伊朗普通人群的失眠特征。方法:设计以社区为基础的横断面研究。我们设计了一份在线问卷,并通过可用的社交平台发送给伊朗人。调查表载有关于参与者的社会人口特征的问题。我们使用恐惧COVID-19量表(FCV-19)、失眠严重程度指数(ISI)、患者健康问卷-2 (PHQ-2)和广泛性焦虑障碍量表-2 (GAD-2)来详细描述失眠及其症状。结果:共有675例失眠症患者参与了我们的研究,平均年龄40.28岁(SD=11.15)。入睡困难(DIS)、维持睡眠困难(DMS)和清晨觉醒(EMA)的患病率分别为91.4%、86.7%和77%。DIS、DMS和EMA在抑郁症和焦虑症患者中更为常见。重度DIS、DMS和EMA患者FCV-19评分较高(结论:对COVID-19的恐惧是失眠模式的主要因素)。调查失眠症患者对新冠肺炎的恐惧,并在常规失眠管理的基础上增加归因缓解或管理策略,是改善大流行人群睡眠状况的合理途径。
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