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      Mental health and its associated factors in college students during COVID-19 confinement in campus

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          Abstract

          Objective To investigate mental health and its associated factors in college students during COVID-19 confinement in campus, and to provide a scientific basis for mental health education.

          Methods A general questionnaire, the Patient Health Questionnaire 9 (PHQ-9) and the Generalized Anxiety Disorder-7 (GAD-7) were administered. A total of 1 816 college students under COVID-19 confinement in campus in Lanzhou City were surveyed from October 18 to November 18, 2021. Data were analyzed by using the ordinal Logistic regression method.

          Results The overall incidence of depressive emotions was 38.76%, and the incidences of mild, moderate to severe depression emotions were 31. 33% and 7. 43%, respectively. About 16. 36% of students showed anxiety, with mild, moderate to severe anxiety being 13.33% and 3.03%, respectively. Multivariate analysis showed that poverty ( OR = 1.29), daily schedule (basically normal OR = 0.33, normal OR = 0.18), adaptability of online learning (moderate adaptation OR = 0.45, high level of adaptation OR = 0.25), concerns about the infection of oneself and family members (some concerns OR = 1.73, considerable concerns OR = 2.09), male ( OR = 0.78), and the isolation mode ( OR =1.70). The music listening (sometimes OR = 0.44, often OR = 0.41), daily schedule (basically normal OR = 0.36, normal OR = 0.19), adaptability of online learning (moderate adaptation OR = 0.42, high level of adaptation OR = 0.28), and concerns about the infection of oneself and family members (some concerns OR = 1.87, considerable concerns OR = 3.27) were primary factors associated with high level of anxiety among college students ( P<0.05).

          Conclusion The incidence of depression and anxiety among college students increased following COVID-19 confinement and centralized isolation for medical observation in campus. Universities and relevant departments should take timely and precise measures for psychological counseling.

          Abstract

          【摘要】 目的 了解新型冠状病毒肺炎 (COVID-19) 局部暴发期间封闭式管理下大学生心理健康状况及其影响因素, 为 疫情应急状态下大学生心理健康教育提供科学依据。 方法 于 2021 年 10 月 18 日至 11 月 18 日, 采用一般情况调查表、抑 郁症状群量表、广泛性焦虑量表对 1 816 名实行封闭式管理的兰州某高校在读大学生进行调查, 运用有序多分类 Logistic 回归方法进行统计分析。 结果 大学生抑郁的发生率是 38.76%, 其中轻度抑郁和中重度抑郁发生率分别为 31.33% 和 7.43%; 焦虑的发生率为 16.36%, 其中轻度焦虑和中重度焦虑发生率分别为 13.33% 和 3.03%。多因素 Logistic 回归分析结 果显示, 贫困生 ( OR =1.29)、作息情况(基本规律 OR = 0.33、规律 OR = 0.18)、网络教学适应度(一般适应 OR = 0.45、很适应 OR = 0.25)、担心自己及家人感染 (有些担心 OR =1.73、非常担心 OR = 2.09)、男生 ( OR = 0.78)、隔离方式( OR =1.70) 等 6 个 因素是大学生抑郁状况的影响因素 ( P 值均<0.05); 听音乐情况 (有时 OR = 0.44、经常 OR = 0.41)、作息情况 (基本规律 OR= 0.36、规律 OR = 0.19)、网络教学适应度 (一般适应 OR = 0.42、很适应 OR = 0.28)、担心自己及家人感染 (有些担心 OR = 1.87、非常担心 OR =3.27) 等 4 个因素是大学生焦虑状况的影响因素 ( P 值均<0.05)。 结论 新冠肺炎局部暴发校园封闭式管理 和集中隔离医学观察期间, 大学生抑郁和焦虑状况检出率高, 高校和有关部门应及时采取精准措施进行心理疏导。

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          Author and article information

          Journal
          CJSH
          Chinese Journal of School Health
          Chinese Journal of School Health (China )
          1000-9817
          01 July 2022
          01 July 2022
          : 43
          : 7
          : 1061-1065
          Affiliations
          [1] 1Department of Gynaecology and Obstetrics, Hospital of Lanzhou Jiaotong University, Lanzhou (730000), China
          Article
          j.cnki.1000-9817.2022.07.024
          10.16835/j.cnki.1000-9817.2022.07.024
          ec1a293e-2427-4d67-abcf-a5c5c7fd028c
          © 2022 Chinese Journal of School Health

          This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 Unported License (CC BY-NC 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See https://creativecommons.org/licenses/by-nc/4.0/.

          Product
          Self URI (journal-page): http://www.cjsh.org.cn
          Categories
          Journal Article

          Ophthalmology & Optometry,Pediatrics,Nutrition & Dietetics,Clinical Psychology & Psychiatry,Public health
          Regression analysis,Mental health,Depression,Students,Anxiety

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