Evidence map›Paper›PMID 34641795›Full record

ArticleBMC psychiatry2021

Latent class analysis of depression and anxiety among medical students during COVID-19 epidemic.

Zhuang Liu, Rongxun Liu, Yue Zhang, Ran Zhang, Lijuan Liang, Yang Wang, Yange Wei, Rongxin Zhu, Fei Wang

Abstract read
In one paragraph

Article in BMC psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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18citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Zhuang Liu *School of Public health, China Medical University, Shenyang, Liaoning, China.
Rongxun Liu *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.
Yue ZhangSchool of Public health, China Medical University, Shenyang, Liaoning, China.
Ran ZhangEarly Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing, Jiangsu, 210029, People's Republic of China.
Lijuan LiangDepartment of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China.
Yang WangPsychology Institute, Inner Mongolia Normal University, Huhehaote, Inner Mongolia, China.
Yange WeiEarly Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing, Jiangsu, 210029, People's Republic of China.
Rongxin ZhuEarly Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing, Jiangsu, 210029, People's Republic of China. zhurx2000@njmu.edu.cn.
Fei WangEarly Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing, Jiangsu, 210029, People's Republic of China. fei.wang@yale.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe 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.

methodsA 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.

resultsIn 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.

conclusionsOur 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.

Indexed as

COVID-19EpidemicsStudents, MedicalAnxietyAnxiety DisordersChinaCross-Sectional StudiesDepressionHumansLatent Class AnalysisSARS-CoV-2Surveys and QuestionnairesAnxietyCOVID-19DepressionLatent class analysisMedical students

Identifiers

PMID34641795
PMCPMC8506472

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.