Evidence map›Paper›PMID 32302816›Full record

ArticlePsychiatry research2020

Psychological symptoms of ordinary Chinese citizens based on SCL-90 during the level I emergency response to COVID-19.

Fangyuan Tian, Hongxia Li, Shuicheng Tian, Jie Yang, Jiang Shao, Chenning Tian

Open access · greenAbstract read
In one paragraph

Article in Psychiatry research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 185 papers, 12 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
185citing papers in PubMed, 12 pooled it
39.2field-weighted citation impact, top 1% 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

185 citing papers in PubMed, 12 syntheses or guidelines pooled it, 480 citations in OpenAlex.

  1. Anxiety, depression and acromegaly: a systematic review.Journal of endocrinological investigation · 2025
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  3. Prevalence of Anxiety in University Students during the COVID-19 Pandemic: A Systematic Review.International journal of environmental research and public health · 2021
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  7. Mental Health of Children and Adolescents Amidst COVID-19 and Past Pandemics: A Rapid Systematic Review.International journal of environmental research and public health · 2021
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  10. Exploring the Impact of COVID-19 on Mental Health Outcomes in Children and Adolescents: A Systematic Review.International journal of environmental research and public health · 2020
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125 more citing papers are in PubMed but not listed here.

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

6 authors at 2 institutions in 1 country.

Fangyuan TianInstitute of Safety Management & Risk Control, Institute of Safety & Emergency Management, School of Safety Science and Engineering, Xi'an University of Science and Technology, No. 58 Yanta Road, Xi'an 710054 China.
Hongxia LiInstitute of Safety Management & Risk Control, Institute of Safety & Emergency Management, School of Safety Science and Engineering, Xi'an University of Science and Technology, No. 58 Yanta Road, Xi'an 710054 China. Electronic address: lihx@xust.edu.cn.
Shuicheng TianInstitute of Safety Management & Risk Control, Institute of Safety & Emergency Management, School of Safety Science and Engineering, Xi'an University of Science and Technology, No. 58 Yanta Road, Xi'an 710054 China. Electronic address: tiansc@xust.edu.cn.
Jie YangInstitute of Safety Management & Risk Control, Institute of Safety & Emergency Management, School of Safety Science and Engineering, Xi'an University of Science and Technology, No. 58 Yanta Road, Xi'an 710054 China.
Jiang ShaoSchool of Architecture & Design, China University of Mining and Technology, Xuzhou 221116 China.
Chenning TianInstitute of Safety Management & Risk Control, Institute of Safety & Emergency Management, School of Safety Science and Engineering, Xi'an University of Science and Technology, No. 58 Yanta Road, Xi'an 710054 China.
Xi'an University of Science and Technology · CNChina University of Mining and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The World Health Organization (WHO) has declared that the Corona Virus (COVID-19) has become a global pandemic. This study aimed to investigate the psychological symptoms of ordinary Chinese citizens during the Level I Emergency Response throughout China. From January 31 to February 2 2020, an online questionnaire, Symptom Checklist 90 (SCL-90) was designed, and differences in GSI T-scores among subgroups were examined by ANOVA. Based on a cut-off point of the GSI T-scores of 63, the overall sample was divided into high and low-risk groups. of the 1,060 participants investigated in China, more than 70% of them have moderate and higher level of psychological symptoms specifically elevated scores for obsessive compulsion, interpersonal sensitivity, phobic anxiety, and psychoticism. There were no significant differences between males and females. Those who were of over 50 years old, had an undergraduate education and below, were divorced or widowed, and agricultural workers had significantly more symptoms. However, significantly more minors and medical staff were in the high-risk group. These results show that COVID-19 has a significant adverse socio-psychological influence on ordinary citizens. Therefore, governments should equip psychological health departments and pay attention to the people who are in high-risk groups, providing psychological interventions and assistance.

Indexed as

EmergenciesMental DisordersMental HealthAdolescentAdultAgedAnxietyAnxiety DisordersAsian PeopleBetacoronavirusChinaCoronavirus InfectionsCOVID-19FemaleHumansMaleCOVID-19Ordinary Chinese citizensPsychological symptomsSCL-90 level I emergency response

Identifiers

PMID32302816
PMCPMC7151383
OpenAlexW3015768714

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.