新冠疫情期间人群的心理健康、睡眠质量、行为及互联网使用情况:一项横断面研究
Psychological Health, Sleep Quality, Behavior, and Internet Use Among People During the COVID-19 Pandemic: A Cross-Sectional Study.
作者信息
Elhadi Muhammed, Alsoufi Ahmed, Msherghi Ahmed, Alshareea Entisar, Ashini Aimen, Nagib Taha, Abuzid Nada, Abodabos Sanabel, Alrifai Hind, Gresea Eman, Yahya Wisal, Ashour Duha, Abomengal Salma, Qarqab Noura, Albibas Amel, Anaiba Mohamed, Idheiraj Hanadi, Abraheem Hudi, Fayyad Mohammed, Alkilani Yosra, Alsuwiyah Suhir, Elghezewi Abdelwahap, Zaid Ahmed
机构信息
Faculty of Medicine, University of Tripoli, Tripoli, Libya.
Faculty of Medicine, Al-Zawia University, Zawia, Libya.
出版信息
Front Psychiatry. 2021 Mar 31;12:632496. doi: 10.3389/fpsyt.2021.632496. eCollection 2021.
The COVID-19 pandemic has led to an increase in the risk of suicide, uncertainty, mental stress, terror, annoyance, weariness, financial issues, and frustration. We aim to determine the prevalence of insomnia, depressive and anxiety symptoms, and their associated factors among Libyan populations during the COVID-19 pandemic and the civil war. An online cross-sectional survey was conducted among the Libyan population between July 18 and August 23, 2020. The data collected included basic demographic characteristics, level of education, employment status, COVID-19-related questions, and questions about abuse and domestic violence. This study assessed the psychological status of participants who were screened for anxiety symptoms using the seven-item Generalized Anxiety Disorder scale (GAD-7). Depressive symptoms were also screened for using the two-item Patient Health Questionnaire (PHQ-2) and the Insomnia Severity Index (ISI). Binomial logistic regression was used to predict the probability of insomnia, anxiety and depressive symptoms. A total of 10,296 responses were recorded. Among the participants, 4,756 (46.2%) obtained a cut-off score of ≥ 3 which indicated depressive symptoms. For anxiety, 1,952 participants (19%) obtained a cut-off score of ≥ 15, which indicated anxiety symptoms. For the ISI, the mean (SD) was 11.4 (6.1) for the following categories: no clinical insomnia (0-7) 3,132 (30.4%), sub-threshold insomnia (1-7) 3,747 (36.4%), moderate severity clinical insomnia (8-14) 2,929 (28.4%), and severe clinical insomnia (15-21) 488 (4.7%). Logistic regression analysis showed that depressive symptoms were statistically associated with age, marital status, education level, occupational category, financial problems during the COVID-19 pandemic, health status, having a COVID-19 infection, current health status, suicide ideation, abuse or domestic violence, and lockdown compliance ( < 0.05). The regression analysis revealed a statistically significant association between anxiety symptoms and age, education level, occupational status, financial problems during the COVID-19 pandemic, having a COVID-19 infection, health status, suicide ideation, abuse or domestic violence, and lockdown compliance ( < 0.05). The regression analysis revealed a statistically significant association between insomnia and all study variables with the exception of age, educational level, and occupational status ( < 0.05). Confronted with the COVID-19 outbreak, the Libyan population exhibited high levels of psychological stress manifested in the form of depressive and anxiety symptoms, while one-third of the Libyan population suffered from clinical insomnia. Policymakers need to promote effective measures to reduce mental health issues and improve people's quality of life during the civil war and the COVID-19 pandemic.
新冠疫情导致自杀风险、不确定性、精神压力、恐惧、烦恼、疲惫、财务问题和挫折感增加。我们旨在确定新冠疫情和内战期间利比亚人群中失眠、抑郁和焦虑症状的患病率及其相关因素。2020年7月18日至8月23日对利比亚人群进行了一项在线横断面调查。收集的数据包括基本人口统计学特征、教育水平、就业状况、与新冠疫情相关的问题以及关于虐待和家庭暴力的问题。本研究使用七项广泛性焦虑障碍量表(GAD - 7)对筛查焦虑症状的参与者的心理状况进行评估。还使用两项患者健康问卷(PHQ - 2)和失眠严重程度指数(ISI)筛查抑郁症状。采用二项逻辑回归预测失眠、焦虑和抑郁症状的发生概率。共记录了10296份回复。在参与者中,4756人(46.2%)的截断分数≥3,表明存在抑郁症状。对于焦虑,1952名参与者(19%)的截断分数≥15,表明存在焦虑症状。对于ISI,以下类别中的均值(标准差)为11.4(6.1):无临床失眠(0 - 7)3132人(30.4%),亚阈值失眠(8 - 14)2929人(28.4%),中度严重临床失眠(15 - 21)488人(4.7%)。逻辑回归分析表明,抑郁症状与年龄、婚姻状况、教育水平、职业类别、新冠疫情期间的财务问题、健康状况、感染新冠病毒、当前健康状况自杀意念、虐待或家庭暴力以及遵守封锁规定在统计学上相关(<0.05)。回归分析显示,焦虑症状与年龄、教育水平、职业状况、新冠疫情期间的财务问题、感染新冠病毒、健康状况、自杀意念、虐待或家庭暴力以及遵守封锁规定在统计学上相关(<0.05)。回归分析显示,失眠与除年龄、教育水平和职业状况之外的所有研究变量在统计学上相关(<0.05)。面对新冠疫情爆发,利比亚人群表现出以抑郁和焦虑症状形式存在的高水平心理压力,而三分之一的利比亚人群患有临床失眠。政策制定者需要推行有效措施,以减少内战和新冠疫情期间的心理健康问题并提高人们的生活质量。