Evidence map›Paper›PMID 41812140›Full record

ArticleJMIR public health and surveillance2026

Prevalence and Factors Associated With Acute Stress Disorder Among Adults Ever Infected With COVID-19 During the Ending Phase of the Pandemic in 7 Chinese Cities: Cross-Sectional Study.

Ziying Yang, Yanqiu Yu, Hui Lu, Xu Wang, Yong Xu, Junqiang Ying, Xianying Wen, Lei Luo, Meng Wang, Muwen Liu and 7 more

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Ziying YangDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, No. 74, Zhongshan 2nd Road, Nonglin Street, Yuexiu District, Guangzhou, China, 86 13660017090.ORCID http://orcid.org/0009-0006-1164-2457
Yanqiu YuSchool of Public Health, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0002-7953-6320
Hui LuOujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision, and Brain Health), Postgraduate Training Base Alliance of Wenzhou Medical University, Wenzhou, China.ORCID http://orcid.org/0009-0009-1415-029X
Xu WangDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, No. 74, Zhongshan 2nd Road, Nonglin Street, Yuexiu District, Guangzhou, China, 86 13660017090.ORCID http://orcid.org/0009-0005-0340-5884
Yong XuNeijiang Center for Disease Control and Prevention, Neijiang, China.ORCID http://orcid.org/0009-0006-7439-1536
Junqiang YingNeijiang Center for Disease Control and Prevention, Neijiang, China.ORCID http://orcid.org/0009-0009-5292-3206
Xianying WenMianyang Center for Disease Control and Prevention, Mianyang, China.ORCID http://orcid.org/0009-0009-3004-5895
Lei LuoMianyang Center for Disease Control and Prevention, Mianyang, China.ORCID http://orcid.org/0009-0009-1066-0807
Meng WangHangzhou Center for Disease Control and Prevention, Hangzhou, China.ORCID http://orcid.org/0009-0007-5356-2225
Muwen LiuHangzhou Center for Disease Control and Prevention, Hangzhou, China.ORCID http://orcid.org/0000-0001-7403-8376
Xingyi GengJinan Center for Disease Control and Prevention, Jinan, China.ORCID http://orcid.org/0000-0002-5544-0260
Xuchong ZhaoJinan Center for Disease Control and Prevention, Jinan, China.ORCID http://orcid.org/0009-0004-3882-2728
Biyu HeShanghai Municipal Center for Health Promotion, Shanghai, China.ORCID http://orcid.org/0009-0000-3194-6120
Tao LiuCommunity Health Service Center of Friendship Street, Shanghai, China.ORCID http://orcid.org/0009-0005-8156-5824
Remina MaimaitijiangDepartment of Public Health, School of Medicine, Shihezi University, Shihezi, China.ORCID http://orcid.org/0000-0002-7197-3323
Jing GuDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, No. 74, Zhongshan 2nd Road, Nonglin Street, Yuexiu District, Guangzhou, China, 86 13660017090.ORCID http://orcid.org/0000-0001-5436-2339
Joseph T F LauZhejiang Provincial Clinical Research Center for Mental Disorders, The Affiliated Wenzhou Kangning Hospital, Wenzhou Medical University, 1 Shengjing Road, Lucheng District, Wenzhou, China, 86 13143882252.ORCID http://orcid.org/0000-0003-2344-7107

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Acute stress disorder (ASD) among people ever infected with COVID-19 is prevalent and may lead to posttraumatic stress disorder. Soon after China relaxed their COVID-19 control measures in November 2022 or December 2022, the infection rate surged rapidly, creating huge uncertainty and stressful situations. Little is known about situations regarding ASD at the ending phase of the pandemic. Objective: The study aimed to investigate the potential of personal cognitive or emotional factors and environmental factors of ASD. Methods: A cross-sectional study was conducted among 5545 people ever infected with COVID-19 aged 18-60 years from December 27, 2022, to January 9, 2023, living in 7 cities of China. The 5-item Chinese version of the Primary Care PTSD Screen was used to assess ASD. Multiple logistic regression analyses were performed to identify factors of ASD. Results: The prevalence of ASD was 21.2% (1174/5545). Adjusted for the background variables, significant personal risk factors (COVID-19 infection severity, cognitions including perceived high reinfection risk and perceived weak acquired natural immunity, and emotions including worry about the long-term physical harms and panic about infection of older or younger family members), and significant environmental risk factors (difficulties in getting information and medical supplies, having unvaccinated older or younger family members, and having significant others with severe COVID-19 symptoms) were identified. Conclusions: The prevalence of ASD among people ever infected with COVID-19 was noticeable. It is warranted to identify those at high risk of developing ASD and provide them with care and early interventions to prevent deterioration. Such programs may consider targeting the modifiable risk factors found in this study.

Indexed as

COVID-19Stress Disorders, Traumatic, AcuteAdolescentAdultChinaCitiesCross-Sectional StudiesFemaleHumansMaleMiddle AgedPandemicsPrevalenceRisk FactorsYoung Adultacute stress disorderChinaCOVID-19emotionsperceptionsrisk factors

Identifiers

PMID41812140
PMCPMC12978538

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.