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Latent class analysis of depression and anxiety among medical students during COVID-19 epidemic.
Liu, Zhuang; Liu, Rongxun; Zhang, Yue; Zhang, Ran; Liang, Lijuan; Wang, Yang; Wei, Yange; Zhu, Rongxin; Wang, Fei.
  • Liu Z; School of Public health, China Medical University, Shenyang, Liaoning, China.
  • Liu R; Early Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing, Jiangsu, 210029, People's Republic of China.
  • Zhang Y; School of Medical Engineering, Xinxiang Medical University, Xinxiang, Henan, China.
  • Zhang R; School of Public health, China Medical University, Shenyang, Liaoning, China.
  • Liang L; Early Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing, Jiangsu, 210029, People's Republic of China.
  • Wang Y; Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China.
  • Wei Y; Department of Psychology, The First Affiliated Hospital of Hainan Medical University, Haikou, Hainan, China.
  • Zhu R; Psychology Institute, Inner Mongolia Normal University, Huhehaote, Inner Mongolia, China.
  • Wang F; Early Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing, Jiangsu, 210029, People's Republic of China.
BMC Psychiatry ; 21(1): 498, 2021 10 12.
Article in English | MEDLINE | ID: covidwho-1468051
ABSTRACT

OBJECTIVE:

The novel coronavirus disease 2019 (COVID-19) is a global public health emergency that has caused worldwide concern. The mental health of medical students under the COVID-19 epidemic has attracted much attention. This study aims to identify subgroups of medical students based on depression and anxiety and explore the influencing factors during the COVID-19 epidemic in China.

METHODS:

A total of 29,663 medical students were recruited during the epidemic of COVID-19 in China. Depression and anxiety symptoms were assessed using Patient Health Questionnaire 9 (PHQ9) and Generalized Anxiety Disorder 7 (GAD7) respectively. Latent class analysis was performed based on depression and anxiety symptoms in medical students. The latent class subtypes were compared using the chi-square test. Multinomial logistic regression was used to examine associations between identified classes and related factors.

RESULTS:

In this study, three distinct subgroups were identified, namely, the poor mental health group, the mild mental health group and the low symptoms group. The number of medical students in each class is 4325, 9321 and 16,017 respectively. The multinomial logistic regression results showed that compared with the low symptoms group, the factors influencing depression and anxiety in the poor mental health group and mild mental health group were sex, educational level, drinking, individual psychiatric disorders, family psychiatric disorders, knowledge of COVID-19, fear of being infected, and participate in mental health education on COVID-19.

CONCLUSIONS:

Our findings suggested that latent class analysis can be used to categorize different medical students according to their depression and anxiety symptoms during the outbreak of COVID-19. The main factors influencing the poor mental health group and the mild mental health group are basic demographic characteristics, disease history, COVID-19 related factors and behavioural lifestyle. School administrative departments can carry out targeted psychological counseling according to different subgroups to promote the physical and mental health of medical students.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Students, Medical / Epidemics / COVID-19 Type of study: Observational study / Prognostic study / Randomized controlled trials Limits: Humans Country/Region as subject: Asia Language: English Journal: BMC Psychiatry Journal subject: Psychiatry Year: 2021 Document Type: Article Affiliation country: S12888-021-03459-W

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Students, Medical / Epidemics / COVID-19 Type of study: Observational study / Prognostic study / Randomized controlled trials Limits: Humans Country/Region as subject: Asia Language: English Journal: BMC Psychiatry Journal subject: Psychiatry Year: 2021 Document Type: Article Affiliation country: S12888-021-03459-W