Yuan Lu-Lu, Lu Lu, Wang Xue-Hang, Guo Xiao-Xi, Ren Hong, Gao Yu-Qin, Pan Bo-Chen
Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
Liaoning Provincial Key Laboratory of Oral Diseases, School and Hospital of Stomatology, China Medical University, Shenyang, China.
Front Psychiatry. 2021 Nov 4;12:761964. doi: 10.3389/fpsyt.2021.761964. eCollection 2021.
The rapid spread of Coronavirus Disease-19 (COVID-19) infection has been the most important public health crisis across the globe since the end of 2019. Anxiety and depression are the most common mental health problems among people during the pandemic, and many studies have reported anxiety and depressive symptoms in college students. However, information on the mental health status of international medical students during this critical period of time has been scarce, which hinders the efforts in making proper policy or strategies to help these students. The present study aims to explore the prevalence of anxiety and depressive symptoms in international medical students in China and to find out the factors that have potential predictive value for anxiety and depressive symptoms. A cross-sectional study was carried out for international medical students during November 2020 at China Medical University in Shenyang, China. Five hundred and nineteen international students were interviewed with questionnaires containing demographic variables, Stressors in school, Generalized Anxiety Disorder Assessment (GAD-7), Patient Health Questionnaire-9 (PHQ-9), Simplified Coping Style Questionnaire (SCSQ), Perceived Stress Scale (PSS-10), the Multidimensional Scale of Perceived Social Support (MSPSS), Revised Life Orientation Test (LOT-R) and Resilience Scale-14 (RS-14). Univariate logistic regression and stepwise multiple logistic regression analyses were conducted where appropriate to explore the predictive factors of anxiety symptoms and depressive symptoms. The prevalence of anxiety symptoms and depressive symptoms in the sample population was 28.5% (148/519) and 31.6% (164/519), respectively. Stressors in school (β = 0.176, OR = 1.192, CI: 1.102-1.289), negative coping style (β = 0.639, OR = 1.894, CI: 1.287-2.788) and perceived stress (β = 0.230, OR = 1.258, CI: 1.184-1.337) were found to be the predictors of anxiety symptoms among the international medical students; while gender (β = -0.594, OR = 0.552, CI: 0.315-0.968), stay up late (β = 0.828, OR = 2.288, CI: 1.182-4.431), current place of residence (β = 1.082, OR = 2.951, CI: 1.256-6.931), stressors in the school (β = 0.303, OR = 1.354, CI: 1.266-1.496), negative coping style (β = 0.866, OR = 2.377, CI: 1.516-3.725), perceived stress (β = 0.233, OR = 1.262, CI: 1.180-1.351) were found to be predictors of depressive symptoms. The prevalence of anxiety symptoms and depressive symptoms was moderate among international medical students in China. The communal predictors of anxiety and depressive symptoms were stressors in school, negative coping style and perceived stress; while demographic factors such as gender (male), stay up late at night and current place of residence were found associated with depressive symptoms. These results suggest that proper stress management and specific interventions are needed to help students maintain their mental health during the COVID-19 pandemic period.
自2019年底以来,新型冠状病毒肺炎(COVID-19)感染的迅速传播一直是全球最重要的公共卫生危机。焦虑和抑郁是疫情期间人们最常见的心理健康问题,许多研究报告了大学生的焦虑和抑郁症状。然而,在这一关键时期,关于国际医学生心理健康状况的信息却很匮乏,这阻碍了制定适当政策或策略来帮助这些学生的努力。本研究旨在探讨中国国际医学生焦虑和抑郁症状的患病率,并找出对焦虑和抑郁症状具有潜在预测价值的因素。2020年11月,在中国沈阳的中国医科大学对国际医学生进行了一项横断面研究。对519名国际学生进行了问卷调查,问卷内容包括人口统计学变量、学校压力源、广泛性焦虑障碍评估量表(GAD-7)、患者健康问卷-9(PHQ-9)、简易应对方式问卷(SCSQ)、感知压力量表(PSS-10)、多维感知社会支持量表(MSPSS)、修订的生活取向测验(LOT-R)和复原力量表-14(RS-14)。在适当情况下进行单因素逻辑回归和逐步多因素逻辑回归分析,以探讨焦虑症状和抑郁症状的预测因素。样本人群中焦虑症状和抑郁症状的患病率分别为28.5%(148/519)和31.6%(164/519)。学校压力源(β = 0.176,OR = 1.192,CI:1.102 - 1.289)、消极应对方式(β = 0.639,OR = 1.894,CI:1.287 - 2.788)和感知压力(β = 0.230,OR = 1.258,CI:1.184 - 1.337)被发现是国际医学生焦虑症状的预测因素;而性别(β = -0.594,OR = 0.552,CI:0.315 - 0.968)、熬夜(β = 0.828,OR = 2.288,CI:1.182 - 4.431)、当前居住地(β = 1.082,OR = 2.951,CI:1.256 - 6.931)、学校压力源(β = 0.303,OR = 1.354,CI:1.266 - 1.496)、消极应对方式(β = 0.866,OR = 2.377,CI:1.516 - 3.725)、感知压力(β = 0.233,OR = 1.262,CI:1.180 - 1.351)被发现是抑郁症状的预测因素。中国国际医学生焦虑症状和抑郁症状的患病率处于中等水平。焦虑和抑郁症状的共同预测因素是学校压力源、消极应对方式和感知压力;而人口统计学因素如性别(男性)、熬夜和当前居住地与抑郁症状有关。这些结果表明,在COVID-19大流行期间,需要进行适当的压力管理和特定干预措施来帮助学生保持心理健康。