Evidence map›Paper›PMID 41174646›Full record

ArticleBMC public health2025

Exploring the association between the post-pandemic period and psychological problems among university students in Wuhan: a cross-sectional analysis.

Zhichao He, Shengzhong Yi, Huanhua Zhou, Feifei Hu, Qianqian Nie, Dan Song, Xiaochang Liu, Junyi Wang, Juan Zhou, Jing Liu and 7 more

Abstract read
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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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2 · The registry

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3 · Its place in the literature

Who cites it

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

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Zhichao He *Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan,, China.
Shengzhong Yi *Hubei, Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Huanhua Zhou *International College, Wuchang Institute of Technology, Wuhan, China.
Feifei HuBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan,, China.
Qianqian NieBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan,, China.
Dan SongBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan,, China.
Xiaochang LiuBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan,, China.
Junyi WangBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan,, China.
Juan ZhouBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan,, China.
Jing LiuBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan,, China.
Yiqing LiBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan,, China.
Lang XuBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan,, China.
Yangming OuBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan,, China.
Yufei MeiBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan,, China.
Deyang ZengBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan,, China.
Guirong ChengBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan,, China. chengguirong@wust.edu.cn.
Dan LiuBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan,, China. liudan@wust.edu.cn.

Funding

Hubei Teaching Program No. 2020355National Natural Science Foundation of China No. 81870901
6 · The paper itself

Abstract

objectiveEvidence demonstrates that Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection influences mental health through biological, psychological, and social mechanisms. In the post-pandemic period, defined as the time following the easing of major public health restrictions and the return to normalcy in daily life, university students represent a vulnerable population, experiencing a high prevalence of psychological problems due to the lingering influence of the pandemic on daily life and the emergence of long-term health consequences. There is an urgent need to understand these mental health symptoms and quantify their associated factors.

methodsA questionnaire was designed to investigate the mental health symptoms of anxiety, depression, and insomnia among university students in Wuhan, focusing on four key domains: individual, family, school, and pandemic. Logistic regression was employed to analyze the related factors and conduct attribution analysis.

resultsOf the 2,668 eligible participants, 2,112 (79.2%) self-reported Omicron infection, and 352 (16.7%) experienced Long-COVID. The prevalence of moderate-to-severe depression was 18.2% (95% CI: 16.8%-19.7%), anxiety was 8.9% (95% CI: 7.8% - 10.0%) and insomnia was 31.4% (95% CI: 29.6%-33.1%). Moderate-to-severe psychological symptoms among university students were associated with ten factors across the four key domains, with total weighted Population Attributable Fractions (PAFs) accounting for 60.1% of depression, 40.8% of anxiety, and 61.6% of insomnia. Individual factors had the highest PAFs, contributing 31.2% to depression, 23.8% to anxiety, and 25.1% to insomnia, followed by pandemic-related PAFs of 17.7% ,10.3%, and 21.9% for depression, anxiety, and insomnia, respectively.

conclusionThe psychological challenges confronting university students in Wuhan are alarmingly severe, with individual factors superimposed on the pandemic caused by SARS-CoV2 being the primary contributors. We propose targeted intervention measures: strengthening psychological counseling services, increasing communication and exchange to enhance students' psychological resilience, raising awareness about mental health and lifestyle, alleviating students' fear of sequelae, assisting university students with academic planning and career guidance, cultivating adaptability, and promoting overall physical and mental health.

Indexed as

AnxietyCOVID-19DepressionStudentsAdolescentAdultChinaCross-Sectional StudiesFemaleHumansMalePandemicsPrevalenceSARS-CoV-2Sleep Initiation and Maintenance DisordersSurveys and QuestionnairesAttribution analysisPost-pandemic periodPsychological problemsUniversity studentsWuhan

Identifiers

PMID41174646
PMCPMC12577210

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.