Depressive Symptom Level, Sleep Quality, and Internet Addiction among Medical Students in Home Quarantine during the COVID-19 Pandemic

IF 9 Q1 PSYCHIATRY
Danial Chaleshi, Fatemeh Badrabadi, Fatemeh Ghadiri Anari, Sepehr Sorkhizadeh, Z. Nematollahi, Mohammad Hosein Shirdareh Haghighi, M. Aghabagheri
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Abstract

The COVID-19 pandemic has a major impact on the mental health of people around the world. Due to the possible impact of quarantine conditions on mental health, we decided to assess internet addiction, depressive symptom level (DSL), and sleep disorders among medical students during the quarantine of COVID-19. This cross-sectional study was performed among medical students during the COVID-19 quarantine in Iran. Participants were selected using the available sampling method. Sleep quality, internet addiction, and depression were assessed using an online survey of the Pittsburgh Sleep Quality Index (PSQI), Internet Addiction Test (IAT), and Patient Health Questionnaire-9 (PHQ-9), respectively. Also, sociodemographic data including age, gender, marital status, smoking status, living circumstances, and educational status were asked. Participants were asked to share the link in their class social media groups. SPSS (version 16) was used for statistical analysis. Students participated; 64.9% of whom were female ( n = 564 ), and the mean age of participants was 21.3 years. 74.1% of students’ educational status was not mainly clinical. 48.2%, 28.6%, and 27.1% had poor sleep quality, DSL, and internet addiction, respectively. Smoking (AOR: 3.49, 95% CI: 1.56-7.76), living with family (AOR: 1.75, 95% CI: 1.16-2.66), and using social media for more than 2 hours were defined as predictive factors for depression. 165 participants (19%) were diagnosed with both poor sleep quality and DSL. There was a positive correlation between PSQI and PHQ-9 ( r : 0.51, P value <0.001). A positive correlation was observed between IAT and PHQ-9 ( r : 0.56, P value <0.001). The rate of DSL, internet addiction, and poor sleep quality were increased and strong correlations between them were concluded. Variables of gender, GPA, and smoking status were the most important associated variables.
新冠肺炎疫情期间居家隔离医学生抑郁症状水平、睡眠质量与网络成瘾
COVID-19大流行对世界各地人民的心理健康产生了重大影响。考虑到隔离条件可能对心理健康产生的影响,我们决定对新冠肺炎隔离期间医学生的网络成瘾、抑郁症状水平(DSL)和睡眠障碍进行评估。这项横断面研究是在伊朗COVID-19隔离期间在医学生中进行的。参与者是通过可用的抽样方法选择的。分别使用匹兹堡睡眠质量指数(PSQI)、网络成瘾测试(IAT)和患者健康问卷-9 (PHQ-9)的在线调查对睡眠质量、网络成瘾和抑郁进行评估。此外,还询问了社会人口统计数据,包括年龄、性别、婚姻状况、吸烟状况、生活环境和教育状况。参与者被要求在班级社交媒体群中分享这个链接。采用SPSS (version 16)软件进行统计分析。学生参与;64.9%为女性(n = 564),平均年龄21.3岁。74.1%的学生学历不以临床为主。48.2%、28.6%和27.1%的人睡眠质量差、DSL和网络成瘾。吸烟(AOR: 3.49, 95% CI: 1.56-7.76)、与家人同住(AOR: 1.75, 95% CI: 1.16-2.66)和使用社交媒体超过2小时被定义为抑郁症的预测因素。165名参与者(19%)被诊断为睡眠质量差和DSL。PSQI与PHQ-9呈正相关(r: 0.51, P值<0.001)。IAT与PHQ-9呈正相关(r: 0.56, P值<0.001)。DSL、网络成瘾和睡眠质量差的比率增加,并得出它们之间有很强的相关性。性别、GPA和吸烟状况是最重要的相关变量。
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来源期刊
Mental Illness
Mental Illness PSYCHIATRY-
CiteScore
1.10
自引率
0.00%
发文量
3
审稿时长
10 weeks
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