Evidence map›Paper›PMID 33616541›Full record

ArticleJMIR mental health2021

Factors Influencing Depression and Mental Distress Related to COVID-19 Among University Students in China: Online Cross-sectional Mediation Study.

Yanqiu Yu, Rui She, Sitong Luo, Meiqi Xin, Lijuan Li, Suhua Wang, Le Ma, Fangbiao Tao, Jianxin Zhang, Junfeng Zhao and 11 more

Open access · goldAbstract read
In one paragraph

Article in JMIR mental health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 3 pooled it
8.0field-weighted citation impact, top 2% of its field
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.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 3 syntheses or guidelines pooled it, 59 citations in OpenAlex.

  1. Pooled it
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  5. Exploring the impact of the COVID-19 pandemic on cancer-related distress among thoracic oncology patients at a rural cancer center.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
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4 · The record

Corrections and comments

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

21 authors at 15 institutions in 2 countries.

Yanqiu Yu *Centre for Health Behaviours Research, Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, Hong Kong.ORCID https://orcid.org/0000-0002-7953-6320
Rui She *Centre for Health Behaviours Research, Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, Hong Kong.ORCID https://orcid.org/0000-0002-8948-2792
Sitong LuoCentre for Health Behaviours Research, Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, Hong Kong.ORCID https://orcid.org/0000-0002-7450-5613
Meiqi XinCentre for Health Behaviours Research, Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, Hong Kong.ORCID https://orcid.org/0000-0002-8636-4918
Lijuan LiSchool of Public Health, Dali University, Kunming, China.ORCID https://orcid.org/0000-0001-5665-5872
Suhua WangGraduate School of Baotou Medical College, Baotou Medical College, Baotou, China.ORCID https://orcid.org/0000-0002-9664-6986
Le MaHealth Science Center, School of Public Health, Xi'an Jiaotong University, Xi'an, China.ORCID https://orcid.org/0000-0001-7592-9779
Fangbiao TaoDepartment of Maternal, Child and Adolescent Health, School of Public Health, Hefei, China.ORCID https://orcid.org/0000-0003-4807-9670
Jianxin ZhangSchool of Public Health, Sichuan University, Chengdu, China.ORCID https://orcid.org/0000-0002-2568-2875
Junfeng ZhaoDepartment of Psychology, School of Education, Henan University, Kaifeng, China.ORCID https://orcid.org/0000-0002-7171-5658
Liping LiShantou Medical College, Shantou, China.ORCID https://orcid.org/0000-0003-3306-779X
Dongsheng HuDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, China.ORCID https://orcid.org/0000-0002-3247-5786
Guohua ZhangDepartment of Psychology, School of Psychiatry, Wenzhou Medical University, Wenzhou, China.ORCID https://orcid.org/0000-0003-2743-3167
Jing GuDepartment of Medical Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou, China.ORCID https://orcid.org/0000-0001-5436-2339
Danhua LinFaculty of Psychology, Beijing Normal University, Beijing, China.ORCID https://orcid.org/0000-0003-3755-1730
Hongmei WangSchool of Public Health, Zhejiang University School of Medicine, Hangzhou, China.ORCID https://orcid.org/0000-0002-7565-9040
Yong CaiSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0000-0002-5706-7906
Zhaofen WangPublic Health Department, Qinghai University Medical College, Xining, China.ORCID https://orcid.org/0000-0001-9406-2955
Hua YouDepartment of Social Medicine and Health Education, School of Public Health, Nanjing Medical University, Nanjing, China.ORCID https://orcid.org/0000-0001-6903-5058
Guoqing HuDepartment of Epidemiology of Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.ORCID https://orcid.org/0000-0002-5002-8015
Joseph Tak-Fai LauCentre for Health Behaviours Research, Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, Hong Kong.ORCID https://orcid.org/0000-0003-2344-7107
Chinese University of Hong Kong · HKShantou University · CNBaotou Medical College · CNBeijing Normal University · CNCentral South University · CNHenan University · CNNanjing Medical University · CNQinghai University · CNShanghai Jiao Tong University · CNSichuan University · CNSun Yat-sen University · CNWenzhou Medical University · CNXi'an Jiaotong University · CNZhejiang University · CNZhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 epidemic may elevate mental distress and depressive symptoms in various populations in China.

objectiveThis study investigates the levels of depression and mental distress due to COVID-19, and the associations between cognitive, behavioral, and psychosocial factors, and depression and mental distress due to COVID-19 among university students in China.

methodsA large-scale online cross-sectional study (16 cities in 13 provinces) was conducted among university students from February 1 to 10, 2020, in China; 23,863 valid questionnaires were returned. The Patient Health Questionnaire-9 was used to assess depression. Structural equation modeling was performed to test mediation and suppression effects.

resultsOf the 23,863 participants, 47.1% (n=11,235) reported high or very high levels of one or more types of mental distress due to COVID-19; 39.1% (n=9326) showed mild to severe depression. Mental distress due to COVID-19 was positively associated with depression. All but one factor (perceived infection risks, perceived chance of controlling the epidemic, staying at home, contacted people from Wuhan, and perceived discrimination) were significantly associated with mental distress due to COVID-19 and depression. Mental distress due to COVID-19 partially mediated and suppressed the associations between some of the studied factors and depression (effect size of 6.0%-79.5%).

conclusionsBoth mental distress due to COVID-19 and depression were prevalent among university students in China; the former may have increased the prevalence of the latter. The studied cognitive, behavioral, and psychosocial factors related to COVID-19 may directly or indirectly (via mental distress due to COVID-19) affect depression. Interventions to modify such factors may reduce mental distress and depressive symptoms during the COVID-19 epidemic.

Indexed as

ChinaCOVID-19depressionmediationmental distressonline surveypsychological responses

Identifiers

PMID33616541
PMCPMC7901598
OpenAlexW3131178722

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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.