<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.0 20040830//EN" "journalpublishing.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="2.0" xml:lang="en" article-type="research-article"><front><journal-meta><journal-id journal-id-type="nlm-ta">JMIR Public Health Surveill</journal-id><journal-id journal-id-type="publisher-id">publichealth</journal-id><journal-id journal-id-type="index">9</journal-id><journal-title>JMIR Public Health and Surveillance</journal-title><abbrev-journal-title>JMIR Public Health Surveill</abbrev-journal-title><issn pub-type="epub">2369-2960</issn><publisher><publisher-name>JMIR Publications</publisher-name><publisher-loc>Toronto, Canada</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">v12i1e73002</article-id><article-id pub-id-type="doi">10.2196/73002</article-id><article-categories><subj-group subj-group-type="heading"><subject>Original Paper</subject></subj-group></article-categories><title-group><article-title>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</article-title></title-group><contrib-group><contrib contrib-type="author"><name name-style="western"><surname>Yang</surname><given-names>Ziying</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Yu</surname><given-names>Yanqiu</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="aff2">2</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Lu</surname><given-names>Hui</given-names></name><degrees>MS</degrees><xref ref-type="aff" rid="aff3">3</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Wang</surname><given-names>Xu</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Xu</surname><given-names>Yong</given-names></name><degrees>BS</degrees><xref ref-type="aff" rid="aff4">4</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Ying</surname><given-names>Junqiang</given-names></name><degrees>BS</degrees><xref ref-type="aff" rid="aff4">4</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Wen</surname><given-names>Xianying</given-names></name><degrees>MS</degrees><xref ref-type="aff" rid="aff5">5</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Luo</surname><given-names>Lei</given-names></name><degrees>BS</degrees><xref ref-type="aff" rid="aff5">5</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Wang</surname><given-names>Meng</given-names></name><degrees>MS</degrees><xref ref-type="aff" rid="aff6">6</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Liu</surname><given-names>Muwen</given-names></name><degrees>MS</degrees><xref ref-type="aff" rid="aff6">6</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Geng</surname><given-names>Xingyi</given-names></name><degrees>MS</degrees><xref ref-type="aff" rid="aff7">7</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Zhao</surname><given-names>Xuchong</given-names></name><degrees>BS</degrees><xref ref-type="aff" rid="aff7">7</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>He</surname><given-names>Biyu</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="aff8">8</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Liu</surname><given-names>Tao</given-names></name><degrees>MS</degrees><xref ref-type="aff" rid="aff9">9</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Maimaitijiang</surname><given-names>Remina</given-names></name><degrees>MS</degrees><xref ref-type="aff" rid="aff10">10</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Gu</surname><given-names>Jing</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff11">11</xref><xref ref-type="aff" rid="aff12">12</xref><xref ref-type="aff" rid="aff13">13</xref></contrib><contrib contrib-type="author" corresp="yes"><name name-style="western"><surname>Lau</surname><given-names>Joseph T F</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="aff14">14</xref><xref ref-type="aff" rid="aff15">15</xref></contrib></contrib-group><aff id="aff1"><institution>Department of Medical Statistics, School of Public Health, Sun Yat-sen University</institution><addr-line>No. 74, Zhongshan 2nd Road, Nonglin Street, Yuexiu District</addr-line><addr-line>Guangzhou</addr-line><country>China</country></aff><aff id="aff2"><institution>School of Public Health, Fudan University</institution><addr-line>Shanghai</addr-line><country>China</country></aff><aff id="aff3"><institution>Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision, and Brain Health), Postgraduate Training Base Alliance of Wenzhou Medical University</institution><addr-line>Wenzhou</addr-line><country>China</country></aff><aff id="aff4"><institution>Neijiang Center for Disease Control and Prevention</institution><addr-line>Neijiang</addr-line><country>China</country></aff><aff id="aff5"><institution>Mianyang Center for Disease Control and Prevention</institution><addr-line>Mianyang</addr-line><country>China</country></aff><aff id="aff6"><institution>Hangzhou Center for Disease Control and Prevention</institution><addr-line>Hangzhou</addr-line><country>China</country></aff><aff id="aff7"><institution>Jinan Center for Disease Control and Prevention</institution><addr-line>Jinan</addr-line><country>China</country></aff><aff id="aff8"><institution>Shanghai Municipal Center for Health Promotion</institution><addr-line>Shanghai</addr-line><country>China</country></aff><aff id="aff9"><institution>Community Health Service Center of Friendship Street</institution><addr-line>Shanghai</addr-line><country>China</country></aff><aff id="aff10"><institution>Department of Public Health, School of Medicine, Shihezi University</institution><addr-line>Shihezi</addr-line><country>China</country></aff><aff id="aff11"><institution>Guangzhou Joint Research Center for Disease Surveillance, Early Warning, and Risk Assessment</institution><addr-line>Guangzhou</addr-line><country>China</country></aff><aff id="aff12"><institution>Sun Yat-Sen University Global Health Institute, School of Public Health and Institute of State Governance, Sun Yat-Sen University</institution><addr-line>Guangzhou</addr-line><country>China</country></aff><aff id="aff13"><institution>Guangdong Key Laboratory of Health Informatics</institution><addr-line>Guangzhou</addr-line><country>China</country></aff><aff id="aff14"><institution>Zhejiang Provincial Clinical Research Center for Mental Disorders, The Affiliated Wenzhou Kangning Hospital, Wenzhou Medical University</institution><addr-line>1 Shengjing Road, Lucheng District</addr-line><addr-line>Wenzhou</addr-line><country>China</country></aff><aff id="aff15"><institution>School of Mental Health, Wenzhou Medical University</institution><addr-line>Wenzhou</addr-line><country>China</country></aff><contrib-group><contrib contrib-type="editor"><name name-style="western"><surname>Biswas</surname><given-names>Bijit</given-names></name></contrib></contrib-group><contrib-group><contrib contrib-type="reviewer"><name name-style="western"><surname>Chen</surname><given-names>Xu</given-names></name></contrib><contrib contrib-type="reviewer"><name name-style="western"><surname>Gan</surname><given-names>Yi-Qun</given-names></name></contrib></contrib-group><author-notes><corresp>Correspondence to Joseph T F Lau, PhD, Zhejiang Provincial Clinical Research Center for Mental Disorders, The Affiliated Wenzhou Kangning Hospital, Wenzhou Medical University, 1 Shengjing Road, Lucheng District, Wenzhou, China, 86 13143882252; <email>jlau@cuhk.edu.hk</email></corresp></author-notes><pub-date pub-type="collection"><year>2026</year></pub-date><pub-date pub-type="epub"><day>11</day><month>3</month><year>2026</year></pub-date><volume>12</volume><elocation-id>e73002</elocation-id><history><date date-type="received"><day>23</day><month>02</month><year>2025</year></date><date date-type="rev-recd"><day>17</day><month>12</month><year>2025</year></date><date date-type="accepted"><day>29</day><month>12</month><year>2025</year></date></history><copyright-statement>&#x00A9; Ziying Yang, Yanqiu Yu, Hui Lu, Xu Wang, Yong Xu, Junqiang Ying, Xianying Wen, Lei Luo, Meng Wang, Muwen Liu, Xingyi Geng, Xuchong Zhao, Biyu He, Tao Liu, Remina Maimaitijiang, Jing Gu, Joseph T F Lau. Originally published in JMIR Public Health and Surveillance (<ext-link ext-link-type="uri" xlink:href="https://publichealth.jmir.org">https://publichealth.jmir.org</ext-link>), 11.3.2026. </copyright-statement><copyright-year>2026</copyright-year><license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (<ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on <ext-link ext-link-type="uri" xlink:href="https://publichealth.jmir.org">https://publichealth.jmir.org</ext-link>, as well as this copyright and license information must be included.</p></license><self-uri xlink:type="simple" xlink:href="https://publichealth.jmir.org/2026/1/e73002"/><abstract><sec><title>Background</title><p>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.</p></sec><sec><title>Objective</title><p>The study aimed to investigate the potential of personal cognitive or emotional factors and environmental factors of ASD.</p></sec><sec sec-type="methods"><title>Methods</title><p>A cross-sectional study was conducted among 5545 people ever infected with COVID-19 aged 18&#x2010;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.</p></sec><sec sec-type="results"><title>Results</title><p>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.</p></sec><sec sec-type="conclusions"><title>Conclusions</title><p>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.</p></sec></abstract><kwd-group><kwd>COVID-19</kwd><kwd>China</kwd><kwd>acute stress disorder</kwd><kwd>perceptions</kwd><kwd>emotions</kwd><kwd>risk factors</kwd></kwd-group></article-meta></front><body><sec id="s1" sec-type="intro"><title>Introduction</title><p>As of September 29, 2023, COVID-19 had caused approximately 770 million confirmed cases and over 6 million deaths globally [<xref ref-type="bibr" rid="ref1">1</xref>]. The Chinese government responded immediately to implement the zero-COVID-19 strategy after the outbreak in Wuhan, including strict measures such as lockdown, quarantine, travel restrictions, and regular mass testing [<xref ref-type="bibr" rid="ref2">2</xref>-<xref ref-type="bibr" rid="ref4">4</xref>]. By November 2022, the country had recorded about 9.3 million COVID-19 cases and 29,000 related deaths [<xref ref-type="bibr" rid="ref5">5</xref>], respectively. Subsequently, the &#x201C;Twenty Measures&#x201D; were announced to ease certain controls (eg, quarantine measures and testing requirements for entry to public venues). On December 7, 2022, the &#x201C;New Ten Measures&#x201D; removed all control measures in China [<xref ref-type="bibr" rid="ref6">6</xref>]. Due to the previously low population immunity to COVID-19 in China and the high transmissibility of the virus, infections surged rapidly across the country [<xref ref-type="bibr" rid="ref7">7</xref>,<xref ref-type="bibr" rid="ref8">8</xref>]. For instance, a seroprevalence study detecting open reading frame 8 antigen reported infection rates from 61.5% (922/1500) to 80.7% (1210/1500) in Guangzhou, China, during January 5, 2023, and January 14, 2023 [<xref ref-type="bibr" rid="ref9">9</xref>].</p><p>The pandemic has been associated with an elevated prevalence of depression in both infected and uninfected individuals [<xref ref-type="bibr" rid="ref10">10</xref>,<xref ref-type="bibr" rid="ref11">11</xref>]. For example, the global prevalence of depression increased by 25% during the pandemic [<xref ref-type="bibr" rid="ref12">12</xref>]. Meta-analyses have reported depression prevalence rates from 18% to 33% in the general population [<xref ref-type="bibr" rid="ref10">10</xref>] and 37% to 54% among people ever infected with COVID-19 during that time period [<xref ref-type="bibr" rid="ref13">13</xref>]. People ever infected with COVID-19 may encounter stronger stressors and hence experience a higher prevalence of mental distress than their uninfected counterparts [<xref ref-type="bibr" rid="ref14">14</xref>-<xref ref-type="bibr" rid="ref20">20</xref>].</p><p>People ever infected with COVID-19 are at risk of developing acute stress disorder (ASD) and posttraumatic stress disorder (PTSD). ASD is a mental health disorder that can emerge shortly after a traumatic event. If the symptoms persist beyond 1 month, the diagnosis may progress to PTSD [<xref ref-type="bibr" rid="ref21">21</xref>]. PTSD was significantly associated with depression and suicidal ideation [<xref ref-type="bibr" rid="ref22">22</xref>,<xref ref-type="bibr" rid="ref23">23</xref>]. Furthermore, ASD is a known predictor of PTSD [<xref ref-type="bibr" rid="ref24">24</xref>,<xref ref-type="bibr" rid="ref25">25</xref>] and other harms such as memory impairment [<xref ref-type="bibr" rid="ref26">26</xref>]. Studies in China, Italy, and Singapore reported PTSD prevalence among people ever infected with COVID-19 ranging from 9.3% to 43.3% [<xref ref-type="bibr" rid="ref27">27</xref>]. The prevalence of ASD was 25.0%, 40.0%, and 24.1% in New York City, Romania, and Spain, respectively [<xref ref-type="bibr" rid="ref28">28</xref>-<xref ref-type="bibr" rid="ref30">30</xref>]. In China, only 1 study has reported ASD in people ever infected with COVID-19 (71%) during the early outbreak phase [<xref ref-type="bibr" rid="ref31">31</xref>]. The unprecedented acceleration of COVID-19 spread in the final phase of the pandemic in China created an extremely stressful social context. People ever infected with COVID-19 may worry about transmitting the virus to their family members, which can worsen their mental distress [<xref ref-type="bibr" rid="ref32">32</xref>-<xref ref-type="bibr" rid="ref34">34</xref>]. Given that hundreds of millions of Chinese people were infected within a few months, a substantial number were exposed to a high risk of ASD. To inform the design of prevention programs, it is crucial to understand the risk factors for ASD among people ever infected with COVID-19.</p><p>According to the diathesis-stress model and its contemporary refinements (eg, differential susceptibility), the development of mental disorders is jointly shaped by personal predispositions and contextual or environmental factors [<xref ref-type="bibr" rid="ref35">35</xref>-<xref ref-type="bibr" rid="ref38">38</xref>]. Based on this framework, severity of symptoms, negative cognitions, and negative emotions related to COVID-19 have been identified as personal risk factors of mental distress. For example, severe symptoms experienced during the acute phase of infection have been shown to increase the risk of long-term depression among people ever infected with COVID-19 [<xref ref-type="bibr" rid="ref14">14</xref>]. Negative cognitions such as a perceived risk of infection were associated with negative mental health outcomes among health care workers [<xref ref-type="bibr" rid="ref39">39</xref>,<xref ref-type="bibr" rid="ref40">40</xref>]. Personal emotional factors commonly studied included concern about family members&#x2019; infection [<xref ref-type="bibr" rid="ref41">41</xref>] and worry about the long-term negative effects of COVID-19 [<xref ref-type="bibr" rid="ref42">42</xref>]. Contextual risk factors included limited access to accurate disease-related information [<xref ref-type="bibr" rid="ref43">43</xref>], necessary supplies [<xref ref-type="bibr" rid="ref44">44</xref>], masks [<xref ref-type="bibr" rid="ref45">45</xref>], medicine [<xref ref-type="bibr" rid="ref46">46</xref>], and medical care [<xref ref-type="bibr" rid="ref47">47</xref>]. Additionally, COVID-19 infection among family members and colleagues was identified as an environmental risk factor of depression, anxiety, and insomnia among people ever infected with COVID-19 [<xref ref-type="bibr" rid="ref19">19</xref>].</p><p>Only 5 studies were identified in our literature review that specifically investigated risk factors for ASD among people ever infected with COVID-19. A survey conducted in Pakistan (n=114) identified several risk factors of ASD, including inadequate communication, poor ward facilities, worries about family members, and financial problems [<xref ref-type="bibr" rid="ref48">48</xref>]. A Spanish study (n=90) found risk factors, including younger age, female sex, obesity, history of psychiatric diseases, and disease severity at intensive care unit (ICU) admission [<xref ref-type="bibr" rid="ref49">49</xref>]. Another Italian study found that hypoxemia at ICU admission was negatively associated with ASD [<xref ref-type="bibr" rid="ref30">30</xref>]. An Indian study found that smell or taste disturbance was associated with ASD [<xref ref-type="bibr" rid="ref50">50</xref>]. An American study found that neither demographic characteristics nor clinical characteristics (eg, ICU admission and inflammatory markers) were associated with ASD [<xref ref-type="bibr" rid="ref29">29</xref>]. These findings indicate that a relatively narrow range of potential risk factors has been examined. To the best of our knowledge, no such ASD studies were conducted among people ever infected with COVID-19 in China, although several reported factors of ASD in populations, including both people ever infected with COVID-19 and non&#x2013;people ever infected with COVID-19 [<xref ref-type="bibr" rid="ref31">31</xref>,<xref ref-type="bibr" rid="ref51">51</xref>-<xref ref-type="bibr" rid="ref54">54</xref>]. Furthermore, most of such studies were conducted during the early phase of the pandemic, whereas the pandemic&#x2019;s ending phase in China presented a distinct social and psychological context with its own uncertainties.</p><p>The present study investigated the prevalence of ASD and associated personal factors and contextual or environmental factors of ASD among people ever infected with COVID-19 during the ending phase of the COVID-19 pandemic (from December 2022 to January 2023) in mainland China. It is hypothesized that (1) the following personal factors will be positively associated with ASD: (a) severity of COVID-19 infection, (b) cognitive variables, including perceived risk of reinfection and perceived strong acquired natural immunity within 6 months since infection, and (c) emotional factors, including worry about long-term harms of COVID-19 infection to oneself and panic about risks of infection of one&#x2019;s older or younger family members; (2) the following contextual or environmental factors will be positively associated with ASD: (a) difficulties in obtaining COVID-19 related information, (b) difficulties in obtaining drugs rapid antigen test (RAT) supplies, (c) presence of unvaccinated older or younger family members, and (d) having relatives or friends with severe COVID-19 symptoms. Most of these factors of ASD among people ever infected with COVID-19 have not been studied.</p></sec><sec id="s2" sec-type="methods"><title>Methods</title><sec id="s2-1"><title>Participants and Data Collection</title><p>An anonymous cross-sectional study was conducted in 7 Chinese cities during December 27, 2022, and January 9, 2023. Eligible participants were adults aged 18 to 60 years who received a COVID-19 diagnosis between December 1, 2022 (when the control measures started to be loosened or removed) and the survey date. The 7 cities&#x2014;Hangzhou and Shanghai (east), Guangzhou (south), Jinan (northeast), Neijiang and Mianyang (west), and Shihezi (northwest)&#x2014;were purposively selected to reflect different geographic regions.</p><p>Participants were recruited using a multistage, cluster-based recruitment across the above selected cities. Administratively, Chinese cities are divided into districts, which are further subdivided into streets, and in turn, into communities. With support from local Centers for Disease Control and Prevention (CDC), at least 3 districts were selected in each city. Within each selected district, at least 1 street was randomly selected using simple random sampling from the administrative list. Within each selected street, at least 6 communities with more than 100 residents and an existing WeChat group were randomly selected from the administrative list. WeChat groups are widely used communication platforms in communities in China [<xref ref-type="bibr" rid="ref55">55</xref>]. Centers for Disease Control and Prevention representatives or community leaders then posted the survey link to the WeChat group of each community and invited only 1 adult per household to complete the questionnaire via the Wenjuanxing platform (Changsha Ranxing Information Technology Co, Ltd) [<xref ref-type="bibr" rid="ref56">56</xref>].</p><p>A total of 6028 completed questionnaires met the inclusion criteria. For quality control, 483 participants were excluded (completion time &#x003E; 4 min: n=445; repetitive answer patterns and substantial missingness, n=38), yielding an analytic sample size of 5545.</p></sec><sec id="s2-2"><title>Ethical Considerations</title><p>The participation was voluntary and anonymous, and returning the completed questionnaire indicated informed consent. No incentives were given to the participants. Personal identifiers were not collected, and all analyses were performed on deidentified data to ensure participant privacy and confidentiality. Ethics approval was obtained from the ethics committee of the School of Public Health, Zhejiang University (ZLG202301-01).</p></sec><sec id="s2-3"><title>Measures</title><p>The overall survey comprised modules on illness perception, protective behaviors, and mental health. This study focuses on the prevalence of ASD and its associated personal and environmental factors. Findings from the other modules are reported in published papers [<xref ref-type="bibr" rid="ref57">57</xref>].</p></sec><sec id="s2-4"><title>Background Information</title><p>Such information included the study city, community type (urban or rural area), sex, age, education level, current marital status, employment status, and chronic disease status (no chronic disease, chronic disease well controlled, and chronic disease not well controlled).</p></sec><sec id="s2-5"><title>Acute Stress Disorder Assessment</title><p>ASD was assessed by the 5-item Chinese version of the Primary Care PTSD Screen (Primary Care PTSD Screen for <italic>Diagnostic and Statistical Manual of Mental Disorders, Fifth Revision</italic> [PC-PTSD-5]) [<xref ref-type="bibr" rid="ref58">58</xref>], which was also validated in a Chinese population [<xref ref-type="bibr" rid="ref59">59</xref>]. The items have binary responses (0=no, 1=yes). Probable ASD was defined as PC-PTSD-5 total scores greater than or equal to 3 [<xref ref-type="bibr" rid="ref58">58</xref>]. The Cronbach &#x03B1; was .808 in this study.</p></sec><sec id="s2-6"><title>Personal Factors</title><sec id="s2-6-1"><title>Severity of COVID-19 Infection</title><p>The item was as follows: &#x201C;How severe were your COVID-19 symptoms?&#x201D; It was rated with a 4-point Likert scale (asymptomatic, mild, severe and not hospitalized, and severe and hospitalized).</p></sec><sec id="s2-6-2"><title>Cognitive Factors</title><p>The cognitive factors were as follows:</p><list list-type="order"><list-item><p>Perceived risk of reinfection was assessed by the item: &#x201C;In the next month, there is a high possibility that I might contract or experience a reinfection of COVID-19&#x201D; (&#x201C;1=strongly disagree,&#x201D; &#x201C;2=disagree,&#x201D; &#x201C;3=neutral,&#x201D; &#x201C;4=agree,&#x201D; and &#x201C;5=strongly agree&#x201D;). The responses were recoded into high (4 and 5), average (3), and low (1 and 2).</p></list-item><list-item><p>Perceived natural immunity level within the 6 months since COVID-19 infection was assessed by the item: &#x201C;With COVID-19 infection, I have acquired natural immunity and would not be re-infected within the next six months&#x201D; (&#x201C;1=strongly disagree,&#x201D; &#x201C;2=disagree,&#x201D; &#x201C;3=neutral,&#x201D; &#x201C;4=agree,&#x201D; and &#x201C;5 =strongly agree&#x201D;). The responses were recoded into strong (4 and 5), average (3), and weak (1 and 2).</p></list-item></list></sec><sec id="s2-6-3"><title>Emotional Factors</title><p>The emotional factors were as follows:</p><list list-type="order"><list-item><p>Worry about long-term physical harms of COVID-19: the item was as follows: &#x201C;What are the chances that the COVID-19 infection would cause serious long-term physical harms to you?&#x201D; (0=no chance to 10=extremely great chances).</p></list-item><list-item><p>Panic about infection of older or younger family members: the item was as follows: &#x201C;Do you feel panic about the high risk that older or younger family members (age &#x003E;65 years and aged 3&#x2010;11 years) would contract or recontract COVID-19?&#x201D; (0=no, 1=yes).</p></list-item></list></sec></sec><sec id="s2-7"><title>Contextual or Environmental Factors</title><sec id="s2-7-1"><title>Information-Related Difficulty</title><p>Difficulties in obtaining high-quality information related to COVID-19 were assessed by the summative scores of 3 items: &#x201C;Have you frequently received inconsistent or confusing COVID-19-related information from external sources?,&#x201D; &#x201C;Do you find it hard to determine the accuracy of the COVID-19-related information you have received?,&#x201D; and &#x201C;Do you feel overwhelmed and uncertain about what to do due to the rapid changes in COVID-19 related information&#x201D; (0=no, 1=yes). Higher scores indicate more difficulties in obtaining high-quality information.</p></sec><sec id="s2-7-2"><title>Difficulty in Obtaining Drugs or RAT Supplies</title><p>It was assessed by the item: &#x201C;How difficult was it to obtain medications (eg, for fever or cough) and RAT currently?&#x201D; (1=not difficult at all to 7=impossible to obtain).</p></sec><sec id="s2-7-3"><title>Vaccination and Infection Status of Family Members, Relatives, or Friends</title><p>The vaccination and infection status were as follows:</p><list list-type="order"><list-item><p>Having unvaccinated family members aged greater than or equal to 65 years: the item was as follows: &#x201C;Do you have any unvaccinated family members aged greater than or equal to 65 years?&#x201D; (0=no, 1=yes).</p></list-item><list-item><p>Having unvaccinated family members aged 3&#x2010;11 years: the item asked: &#x201C;Do you have any unvaccinated family members aged 3&#x2010;11 years?&#x201D; (0=no, 1=yes).</p></list-item><list-item><p>Having relatives or friends having severe COVID-19 symptoms: the item was as follows: &#x201C;Do you know of any relatives or friends having developed severe COVID-19 symptoms?&#x201D; A 4-point Likert scale was used (none, only a few, some, and many).</p></list-item></list></sec></sec><sec id="s2-8"><title>Statistical Analysis</title><p>The distributions of studied variables are presented. Univariate logistic regression models were used to test the associations between the background factors and ASD; univariate odds ratio and 95% CIs were estimated. Multivariable logistic regression models were used to identify independent correlates of probable ASD. For each of the considered personal and environmental factors, adjusted odds ratio (ORa) and their 95% CI were respectively estimated with adjustment for all background variables. Statistical significance was reached when the 2-tailed <italic>P</italic> &#x003C;.05. The analyses were performed using <italic>R</italic> Software, version 4.2.3 (R Foundation for Statistical Computing) [<xref ref-type="bibr" rid="ref60">60</xref>].</p></sec></sec><sec id="s3" sec-type="results"><title>Results</title><sec id="s3-1"><title>Descriptive Statistics</title><p>The characteristics of the study participants are summarized in <xref ref-type="table" rid="table1">Table 1</xref>. Of the 5545 participants, the majority were female participants (n=1590, 71.3%), living in an urban area (n=4569, 82.4%), aged below 40 years (n=3422, 61.7%), had attained an undergraduate degree or above (n=3095, 55.8%), working full-time (n=4065, 73.3%), and did not have chronic diseases (n=4643, 83.7%). More than half of them had mild COVID-19 symptoms (n=2883, 52%); 0.7% (n=37) had been hospitalized. Among the participants, 25.8% (n=1433), 45.4% (n=2515), or 28.8% (n=1597) perceived a high, average, or low risk of reinfection; 21.6% (n=1197), 50.2% (n=2782), or 28.2% (n=1566) perceived strong, average, or weak natural immunity within 6 months since COVID-19 infection; 75.7% (n=4195) felt panic about infection of their older or younger family members. The majority did not have unvaccinated family members aged greater than or equal to 65 years (n=4789, 86.4%) and 3 to 11 years (n=5216, 94.1%); 52.2% (n=2897) had a few relatives or friends having severe COVID-19 symptoms. The mean scores (SD; range) of worry about long-term physical harms of COVID-19, information-related difficulty, and difficulty in obtaining drugs or RAT supplies were 6.39 (2.44; 0&#x2010;10), 1.42 (1.14; 0&#x2010;3), and 4.44 (1.30; 1&#x2010;7), respectively. The prevalence of ASD was 21.2% (n=1174; 95% CI 20.1%-22.2%).</p><table-wrap id="t1" position="float"><label>Table 1.</label><caption><p>Descriptive statistics among people ever infected with COVID-19 aged 18&#x2010;60 years (N=5545).<sup><xref ref-type="table-fn" rid="table1fn1">a</xref></sup></p></caption><table id="table1" frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom"/><td align="left" valign="bottom">Value</td></tr></thead><tbody><tr><td align="left" valign="top">Background variables, n (%)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>City</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Guangzhou</td><td align="left" valign="top">414 (7.5)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Hangzhou</td><td align="left" valign="top">1790 (32.3)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Jinan</td><td align="left" valign="top">668 (12.0)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Mianyang</td><td align="left" valign="top">1176 (21.2)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Neijiang</td><td align="left" valign="top">1090 (19.7)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Shanghai</td><td align="left" valign="top">243 (4.3)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Shihezi</td><td align="left" valign="top">164 (3.0)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Community type</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Rural</td><td align="left" valign="top">976 (17.6)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Urban</td><td align="left" valign="top">4569 (82.4)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Sex</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Male</td><td align="left" valign="top">1590 (28.7)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Female</td><td align="left" valign="top">3955 (71.3)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Age group (y)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>18-30</td><td align="left" valign="top">1465 (26.4)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>31-40</td><td align="left" valign="top">1957 (35.3)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>41-50</td><td align="left" valign="top">1493 (26.9)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>51-60</td><td align="left" valign="top">630 (11.4)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Education level</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Below undergraduate degree</td><td align="left" valign="top">2450 (44.2)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Undergraduate degree and above</td><td align="left" valign="top">3095 (55.8)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Current marital status</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Unmarried</td><td align="left" valign="top">1296 (23.4)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Married</td><td align="left" valign="top">4249 (76.6)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Employment status</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Not being employed</td><td align="left" valign="top">1321 (23.8)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Full-time job</td><td align="left" valign="top">4062 (73.3)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Part-time job</td><td align="left" valign="top">162 (2.9)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Chronic disease status</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>None</td><td align="left" valign="top">4643 (83.7)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Yes, extremely well controlled</td><td align="left" valign="top">126 (2.3)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Yes, well controlled</td><td align="left" valign="top">564 (10.2)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Yes, not well controlled</td><td align="left" valign="top">212 (3.8)</td></tr><tr><td align="left" valign="top">Personal factors, n (%)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Severity of COVID-19 infection</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Asymptomatic</td><td align="left" valign="top">65 (1.1)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Mild</td><td align="left" valign="top">2883 (52)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Severe and not hospitalized</td><td align="left" valign="top">2560 (46.2)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Severe and hospitalized</td><td align="left" valign="top">37 (0.7)</td></tr><tr><td align="left" valign="top">Cognitive factors, n (%)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Perceived risk of reinfection</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Low</td><td align="left" valign="top">1597 (28.8)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Average</td><td align="left" valign="top">2515 (45.4)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>High</td><td align="left" valign="top">1433 (25.8)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Perceived natural immunity level within 6 mo since COVID-19 infection</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Strong</td><td align="left" valign="top">1197 (21.6)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Average</td><td align="left" valign="top">2782 (50.2)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Weak</td><td align="left" valign="top">1566 (28.2)</td></tr><tr><td align="left" valign="top">Emotional factors</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Worry about long-term physical harms of COVID-19, mean (SD)</td><td align="left" valign="top">6.39 (2.44)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Panic about infection of older or younger family members, n (%)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>No</td><td align="left" valign="top">1350 (24.3)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Yes</td><td align="left" valign="top">4195 (75.7)</td></tr><tr><td align="left" valign="top">Contextual/environmental factors</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Information-related difficulty, mean (SD)</td><td align="left" valign="top">1.42 (1.14)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Difficulty in obtaining drugs/RAT<sup><xref ref-type="table-fn" rid="table1fn2">b</xref></sup> supplies, mean (SD)</td><td align="left" valign="top">4.44 (1.3)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Having unvaccinated family members aged &#x2265;65 years, n (%)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>No</td><td align="left" valign="top">4789 (86.4)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Yes</td><td align="left" valign="top">756 (13.6)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Having unvaccinated younger family members aged 3-11 years, n (%)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>No</td><td align="left" valign="top">5216 (94.1)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Yes</td><td align="left" valign="top">329 (5.9)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Having relatives/friends with severe COVID-19 symptoms, n (%)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>None</td><td align="left" valign="top">884 (15.9)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Only a few</td><td align="left" valign="top">2897 (52.2)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Some</td><td align="left" valign="top">1377 (24.8)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Many</td><td align="left" valign="top">387 (7.0)</td></tr><tr><td align="left" valign="top">Dependent variable, n (%)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Acute stress disorder</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>No</td><td align="left" valign="top">4371 (78.8)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Yes</td><td align="left" valign="top">1174 (21.2)</td></tr></tbody></table><table-wrap-foot><fn id="table1fn1"><p><sup>a</sup>Chronic disease includes any of hypertension, diabetes, chronic lung disease, myocardial infarction, heart failure, cerebrovascular disease, dementia, and ulcerative diseases such as gastric ulcer, liver disease, and tumor. Range of worry for long-term impact of COVID-19, information difficulty, and difficulty in obtaining drugs or rapid antigen test supplies are 0&#x2010;10, 0&#x2010;3, and 1&#x2010;7, respectively. Acute stress disorder is defined using a cutoff of 3 or higher.</p></fn><fn id="table1fn2"><p><sup>b</sup>RAT: rapid antigen test.</p></fn></table-wrap-foot></table-wrap></sec><sec id="s3-2"><title>Factors of ASD</title><sec id="s3-2-1"><title>Background Factors</title><p>Univariate logistic regression analyses showed that living in Neijiang (vs Guangzhou), female sex, ages greater than 30 years (vs 18&#x2010;30 y), being currently married, having a part-time job (vs not being employed), and having chronic diseases (both well controlled and not well controlled vs no chronic disease) were more likely than others to develop ASD. Conversely, university or above education and full-time employment (vs not being employed) were negatively associated with ASD (<xref ref-type="table" rid="table2">Table 2</xref>).</p><table-wrap id="t2" position="float"><label>Table 2.</label><caption><p>The association between background factors and acute stress disorder among people ever infected with COVID-19 aged 18&#x2010;60 years (N=5545).</p></caption><table id="table2" frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom"/><td align="left" valign="bottom">ORu<sup><xref ref-type="table-fn" rid="table2fn1">a</xref></sup> (95% CI)</td></tr></thead><tbody><tr><td align="left" valign="top">City</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Guangzhou</td><td align="left" valign="top">Ref<sup><xref ref-type="table-fn" rid="table2fn2">b</xref></sup></td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Hangzhou</td><td align="left" valign="top">1.11 (0.84-1.46)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Jinan</td><td align="left" valign="top">1.29 (0.95-1.75)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Mianyang</td><td align="left" valign="top">1.15 (0.87-1.53)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Neijiang</td><td align="left" valign="top">1.45 (1.09-1.93)<sup><xref ref-type="table-fn" rid="table2fn3">c</xref></sup></td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Shanghai</td><td align="left" valign="top">1.43 (0.97-2.09)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Shihezi</td><td align="left" valign="top">0.65 (0.39-1.10)</td></tr><tr><td align="left" valign="top">Community type</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Rural</td><td align="left" valign="top">Ref</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Urban</td><td align="left" valign="top">0.97 (0.82-1.15)</td></tr><tr><td align="left" valign="top">Sex</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Male</td><td align="left" valign="top">Ref</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Female</td><td align="left" valign="top">1.41 (1.21-1.63)<sup><xref ref-type="table-fn" rid="table2fn4">d</xref></sup></td></tr><tr><td align="left" valign="top">Age group (y)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>18&#x2010;30</td><td align="left" valign="top">Ref</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>31&#x2010;40</td><td align="left" valign="top">1.24 (1.05-1.48)<sup><xref ref-type="table-fn" rid="table2fn5">e</xref></sup></td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>41&#x2010;50</td><td align="left" valign="top">1.25 (1.05-1.50)<sup><xref ref-type="table-fn" rid="table2fn5">e</xref></sup></td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>51&#x2010;60</td><td align="left" valign="top">1.38 (1.10-1.73)<sup><xref ref-type="table-fn" rid="table2fn5">e</xref></sup></td></tr><tr><td align="left" valign="top">Education level</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Below undergraduate degree-</td><td align="left" valign="top">Ref</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Undergraduate degree and above</td><td align="left" valign="top">0.85 (0.74-0.96)<sup><xref ref-type="table-fn" rid="table2fn3">c</xref></sup></td></tr><tr><td align="left" valign="top">Current marital status</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Unmarried</td><td align="left" valign="top">Ref</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Married</td><td align="left" valign="top">1.28 (1.09-1.50)</td></tr><tr><td align="left" valign="top">Employment status</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Not being employed</td><td align="left" valign="top">Ref</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Full-time job</td><td align="left" valign="top">0.81 (0.70-0.94)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Part-time job</td><td align="left" valign="top">1.49 (1.04-2.12)<sup><xref ref-type="table-fn" rid="table2fn3">c</xref></sup></td></tr><tr><td align="left" valign="top">Chronic disease status<sup><xref ref-type="table-fn" rid="table2fn6">f</xref></sup></td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>None</td><td align="left" valign="top">Ref</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Yes, extremely well controlled</td><td align="left" valign="top">1.08 (0.70-1.67)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Yes, well controlled</td><td align="left" valign="top">1.48 (1.21-1.81)<sup><xref ref-type="table-fn" rid="table2fn4">d</xref></sup></td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Yes, not well controlled</td><td align="left" valign="top">3.71 (2.81-4.91)<sup><xref ref-type="table-fn" rid="table2fn4">d</xref></sup></td></tr></tbody></table><table-wrap-foot><fn id="table2fn1"><p><sup>a</sup>ORu: univariate odds ratio.</p></fn><fn id="table2fn2"><p><sup>b</sup>Ref: reference group.</p></fn><fn id="table2fn3"><p><sup>c</sup><italic>P</italic>&#x003C;.05.</p></fn><fn id="table2fn4"><p><sup>d</sup> <italic>P</italic>&#x003C;.001.</p></fn><fn id="table2fn5"><p><sup>e</sup> <italic>P</italic>&#x003C;.01.</p></fn><fn id="table2fn6"><p><sup>f</sup>Chronic disease includes any of hypertension, diabetes, chronic lung disease, myocardial infarction, heart failure, cerebrovascular disease, dementia, and ulcerative diseases such as gastric ulcer, liver disease, and tumor.</p></fn></table-wrap-foot></table-wrap></sec><sec id="s3-2-2"><title>Personal Factors</title><p>The results of the adjusted logistic regression analyses are shown in <xref ref-type="table" rid="table3">Table 3</xref>. Regarding the personal factors, having severe symptoms that did not hospitalize (ORa=5.56, 95% CI 2.00-15.47; reference group: asymptomatic) and a condition that hospitalized (ORa=9.74, 95% CI 2.88-32.93; reference group: asymptomatic) were both positively associated with ASD. Regarding the cognitive factors, both higher perceived risk of reinfection (average vs low: ORa=1.68, 95% CI 1.40-2.02; high versus low: ORa=3.62, 95% CI 3.00-4.38) and lower perceived natural immunity level within 6 months since infection (weak vs strong: ORa=1.51, 95% CI 1.25-1.82) were positively associated with ASD. In terms of emotional factors, higher levels of worry about long-term physical harms of COVID-19 (ORa=1.47, 95% CI 1.42-1.52) and panic about risk of infection of older or younger family members (ORa=2.00, 95% CI 1.68-2.39) were positively associated with ASD.</p><table-wrap id="t3" position="float"><label>Table 3.</label><caption><p>Logistic regression on personal/environmental factors and acute stress disorder among people ever infected with COVID-19 aged 18&#x2010;60 y (N=5545). The models were adjusted for city, urban/rural area, sex, age group, education level, current marital status, employment status, and chronic disease status.</p></caption><table id="table3" frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom"/><td align="left" valign="bottom">ORa<sup><xref ref-type="table-fn" rid="table3fn1">a</xref></sup> (95% CI)</td></tr></thead><tbody><tr><td align="left" valign="top">Personal factors</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Severity of COVID-19 infection</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Asymptomatic</td><td align="left" valign="top">Ref<sup><xref ref-type="table-fn" rid="table3fn2">b</xref></sup></td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Mild</td><td align="left" valign="top">2.48 (0.89-6.90)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Severe and not hospitalized</td><td align="left" valign="top">5.56 (2.00-15.47)<sup><xref ref-type="table-fn" rid="table3fn3">c</xref></sup></td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Severe and hospitalized</td><td align="left" valign="top">9.74 (2.88-32.93)<sup><xref ref-type="table-fn" rid="table3fn4">d</xref></sup></td></tr><tr><td align="left" valign="top">Cognitive factors</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Perceived risk of reinfection</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Low</td><td align="left" valign="top">Ref</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Average</td><td align="left" valign="top">1.68 (1.40-2.02)<sup><xref ref-type="table-fn" rid="table3fn4">d</xref></sup></td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>High</td><td align="left" valign="top">3.62 (3.00-4.38)<sup><xref ref-type="table-fn" rid="table3fn4">d</xref></sup></td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Perceived natural immunity level within 6 months since COVID-19 infection</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Strong</td><td align="left" valign="top">Ref</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Average</td><td align="left" valign="top">1.13 (0.95-1.35)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Weak</td><td align="left" valign="top">1.51 (1.25-1.82)<sup><xref ref-type="table-fn" rid="table3fn4">d</xref></sup></td></tr><tr><td align="left" valign="top">Emotional factors</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Worry about long-term physical harms of COVID-19</td><td align="left" valign="top">1.47 (1.42-1.52)<sup><xref ref-type="table-fn" rid="table3fn4">d</xref></sup></td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Panic about infection of older or younger family members</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>No</td><td align="left" valign="top">Ref</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Yes</td><td align="left" valign="top">2.00 (1.68-2.39)<sup><xref ref-type="table-fn" rid="table3fn4">d</xref></sup></td></tr><tr><td align="left" valign="top">Contextual/environmental factors</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Information-related difficulty</td><td align="left" valign="top">1.42 (1.34-1.51)<sup><xref ref-type="table-fn" rid="table3fn4">d</xref></sup></td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Difficulty in obtaining drugs/RAT<sup><xref ref-type="table-fn" rid="table3fn5">e</xref></sup> supplies</td><td align="left" valign="top">1.35 (1.28-1.44)<sup><xref ref-type="table-fn" rid="table3fn4">d</xref></sup></td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Having unvaccinated family members aged &#x2265;65 years</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>No</td><td align="left" valign="top">Ref</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Yes</td><td align="left" valign="top">1.48 (1.23-1.78)<sup><xref ref-type="table-fn" rid="table3fn4">d</xref></sup></td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Having unvaccinated family members aged 3-11 years</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>No</td><td align="left" valign="top">Ref</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Yes</td><td align="left" valign="top">1.35 (1.04-1.75)<sup><xref ref-type="table-fn" rid="table3fn6">f</xref></sup></td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Having relatives/friends with severe COVID-19 symptoms?</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>None</td><td align="left" valign="top">Ref</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Only a few</td><td align="left" valign="top">1.65 (1.29, 2.10)<sup><xref ref-type="table-fn" rid="table3fn4">d</xref></sup></td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Some</td><td align="left" valign="top">3.99 (3.10, 5.13)<sup><xref ref-type="table-fn" rid="table3fn4">d</xref></sup></td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Many</td><td align="left" valign="top">6.95 (5.13, 9.41)<sup><xref ref-type="table-fn" rid="table3fn4">d</xref></sup></td></tr></tbody></table><table-wrap-foot><fn id="table3fn1"><p><sup>a</sup>ORa: adjusted odds ratio.</p></fn><fn id="table3fn2"><p><sup>b</sup>Ref: reference group.</p></fn><fn id="table3fn3"><p><sup>c</sup><italic>P</italic>&#x003C;.01.</p></fn><fn id="table3fn4"><p><sup>d</sup><italic>P</italic>&#x003C;.001.</p></fn><fn id="table3fn5"><p><sup>e</sup>RAT: rapid antigen test.</p></fn><fn id="table3fn6"><p><sup>f</sup><italic>P</italic>&#x003C;.05.</p></fn></table-wrap-foot></table-wrap></sec><sec id="s3-2-3"><title>Contextual or Environmental Factors</title><p>Significant contextual or environmental factors included higher levels of information-related difficulty (ORa=1.42, 95% CI 1.34-1.51), difficulty in obtaining drugs or RAT supplies (ORa=1.35, 95% CI 1.28-1.44), having unvaccinated family members aged greater than or equal to 65 years (ORa=1.48, 95% CI 1.23-1.78), having unvaccinated family member aged 3&#x2010;11 years (ORa=1.35, 95% CI 1.04-1.75), and having relatives or friends having severe COVID-19 symptoms (only a few versus none: ORa=1.65, 95% CI 1.29-2.10; some versus none: ORa=3.99, 95% CI 3.10-5.13; many versus none: ORa=6.95, 95% CI 5.13-9.41).</p></sec></sec></sec><sec id="s4" sec-type="discussion"><title>Discussion</title><p>Substantially, about one-fifth of the sampled people ever infected with COVID-19 showed ASD, especially among those who were female, older, less educated, married, not in full-time employment, and having chronic disease conditions. Supporting the initial hypotheses, significant personal risk factors of ASD (severity of infection, perceived high reinfection risk, perceived low natural immunity level postinfection, worry about long-term physical harms of COVID-19, and panic about infection of older or younger family members) and contextual or environmental risk factors of ASD (difficulties in getting information and medical supplies, the unvaccinated status of older and younger family members, and having relatives or friends with severe COVID-19 symptoms) were identified.</p><p>The ASD prevalence in our study was lower than the rate of 71% reported in another Chinese study [<xref ref-type="bibr" rid="ref31">31</xref>] and that of some other countries [<xref ref-type="bibr" rid="ref28">28</xref>-<xref ref-type="bibr" rid="ref30">30</xref>]. Such discrepancy could be attributed to variations in the stages of the COVID-19 pandemic as the other studies were conducted during the early phases. The early outbreak was characterized by fear of a novel and more severe virus, coupled with the experience of strict lockdowns&#x2014;both of which are established population-level stressors [<xref ref-type="bibr" rid="ref10">10</xref>,<xref ref-type="bibr" rid="ref13">13</xref>,<xref ref-type="bibr" rid="ref61">61</xref>]. In contrast, our study was conducted during the ending phase, which was dominated by the milder Omicron variant and followed the lifting of all restrictive measures. Given that disease severity is a key risk factor for ASD [<xref ref-type="bibr" rid="ref14">14</xref>], the population-level shift toward less severe clinical manifestations, together with the removal of lockdown-related stressors, provides a parsimonious explanation for the observed difference in ASD prevalence.</p><p>Among the personal factors, the severity of COVID-19 infection was positively associated with ASD, consistent with previous research [<xref ref-type="bibr" rid="ref14">14</xref>]. This relationship can be understood through several pathways. First, the direct physiological impact of a severe infection, including high fever, intense bodily pain, and dyspnea, can be perceived as a life-threatening physical trauma, which constitutes a core diagnostic criterion for stress-related disorders [<xref ref-type="bibr" rid="ref62">62</xref>-<xref ref-type="bibr" rid="ref65">65</xref>]. Second, the management of severe symptoms often necessitates intensive efforts, including seeking urgent medical care and securing necessary supplies, thereby amplifying situational stressors and potentially exacerbating the perception of threat [<xref ref-type="bibr" rid="ref62">62</xref>,<xref ref-type="bibr" rid="ref64">64</xref>,<xref ref-type="bibr" rid="ref65">65</xref>]. Importantly, the markedly elevated ASD risk observed in the &#x201C;severe and hospitalized&#x201D; group likely extends beyond a simple gradient of symptom intensity. During the study period in China, the decision to hospitalize a patient was shaped by a complex interplay of clinical necessity, health care resource availability, and local pandemic policies [<xref ref-type="bibr" rid="ref66">66</xref>,<xref ref-type="bibr" rid="ref67">67</xref>]. Therefore, hospitalization itself constituted a distinct and potent psychosocial stressor, characterized by forced isolation from one&#x2019;s daily milieu, reliance on an overburdened emergency health care system, anxieties related to treatment costs, and direct confrontation with the potential for severe health outcomes [<xref ref-type="bibr" rid="ref68">68</xref>,<xref ref-type="bibr" rid="ref69">69</xref>]. These factors&#x2014;stemming from health care system interaction and institutionalization&#x2014;may operate independently of, or synergistically with, the physiological distress of the infection to jointly exacerbate acute stress responses. Consequently, our findings highlight that individuals who experienced more severe COVID-19 illness, particularly those who required hospitalization, constitute a critical high-risk subgroup warranting prioritized screening and early psychological intervention to mitigate the potential progression to PTSD.</p><p>Corroborating previous studies among health care workers, a higher perceived risk of reinfection was positively associated with ASD [<xref ref-type="bibr" rid="ref39">39</xref>,<xref ref-type="bibr" rid="ref40">40</xref>]. This empirical relationship underscores the significant role of threat appraisal in the development of stress-related disorders. Within the framework of fear appeal theories, our results highlight the public health imperative of calibrating risk communication: excessively elevated perceptions of susceptibility may precipitate maladaptive emotional outcomes such as ASD [<xref ref-type="bibr" rid="ref70">70</xref>,<xref ref-type="bibr" rid="ref71">71</xref>], whereas unrealistically low perceptions can undermine protective behaviors [<xref ref-type="bibr" rid="ref72">72</xref>]. In the context of an evolving pathogen like SARS-CoV-2, this underscores the critical public health imperative to disseminate timely and accurate information. For instance, during Omicron-predominant waves, public communication should concurrently reinforce the high transmissibility (to motivate booster vaccination) and the substantially reduced severity (to alleviate excessive fear and prevent ASD), thereby fostering both protection and psychological resilience. Conversely, a stronger perceived level of natural immunity 6 months post-infection served as a protective factor against ASD, likely mediated by a reduction in perceived susceptibility. However, the durability of infection-induced immunity is finite, waning over time [<xref ref-type="bibr" rid="ref73">73</xref>,<xref ref-type="bibr" rid="ref74">74</xref>], and public awareness regarding its extent and duration is often incomplete or inaccurate [<xref ref-type="bibr" rid="ref75">75</xref>]. This knowledge gap underscores the necessity for clear communication that not only delineates the properties and limitations of natural immunity but also proactively promotes booster vaccination and the superior, more robust protection conferred by hybrid immunity [<xref ref-type="bibr" rid="ref76">76</xref>].</p><p>We postulate that confidence in vaccine-induced immunity may buffer against the anxiety stemming from waning natural immunity. Given the demonstrated efficacy of social media in shaping pandemic-related perceptions [<xref ref-type="bibr" rid="ref77">77</xref>], these platforms represent an indispensable channel for the prompt and accessible dissemination of evolving epidemiological and clinical evidence to the public.</p><p>Persistent worry is a recognized precursor to anxiety [<xref ref-type="bibr" rid="ref78">78</xref>] and ASD [<xref ref-type="bibr" rid="ref79">79</xref>]. In line with this, our study identified a significant positive association between worry about the long-term physical harms of COVID-19 and ASD, a finding consistent with prior research [<xref ref-type="bibr" rid="ref41">41</xref>,<xref ref-type="bibr" rid="ref42">42</xref>]. The prevalence of such concerns is understandable given evidence on long COVID; a meta-analysis reported a pooled prevalence of 43% [<xref ref-type="bibr" rid="ref80">80</xref>], encompassing symptoms such as fatigue, cognitive impairment, and cardiovascular sequelae [<xref ref-type="bibr" rid="ref81">81</xref>,<xref ref-type="bibr" rid="ref82">82</xref>]. As the majority of the Chinese population was infected during our survey period, long COVID emerged as a widespread public health concern, thereby elevating the population-level risk for ASD&#x2014;a dynamic potentially applicable to other global populations. The persistence of these concerns may be partly attributable to limited public understanding of the long-term effects of COVID-19 [<xref ref-type="bibr" rid="ref83">83</xref>]. Therefore, evidence-based information on the prevalence and severity of long COVID is warranted to mitigate excessive worry. Furthermore, our results indicate that panic about the risk of infection for vulnerable family members (the older adults and children) was independently associated with ASD, echoing its link to depression [<xref ref-type="bibr" rid="ref19">19</xref>]. The increased odds of ASD among participants with unvaccinated older or younger family members substantiates this concern, as unvaccinated infected older adults face a significantly elevated risk of severe outcomes and mortality [<xref ref-type="bibr" rid="ref84">84</xref>]. This underscores the continued importance of prompting vaccination in these vulnerable demographics. Collectively, these findings highlight the central role of emotional disturbance in ASD. Consequently, fostering adaptive emotional regulation should be a cornerstone of secondary prevention strategies for ASD. Maladaptive regulation strategies, such as rumination and catastrophizing, were robustly linked to mental distress during the pandemic [<xref ref-type="bibr" rid="ref85">85</xref>]. Evidence-based brief interventions, including cognitive behavioral therapy [<xref ref-type="bibr" rid="ref86">86</xref>] and mindfulness-based programs, which have demonstrated efficacy in ameliorating maladaptive emotional regulation [<xref ref-type="bibr" rid="ref87">87</xref>], should be integrated into such preventive frameworks.</p><p>Regarding environmental factors, both difficulties in accessing timely and consistent COVID-19 information and in obtaining essential medical supplies were significantly associated with ASD. Information-related difficulties (eg, inconsistent messaging and information overload) may generate profound uncertainty and hinder effective coping, thereby elevating the risk of anxiety and ASD [<xref ref-type="bibr" rid="ref53">53</xref>,<xref ref-type="bibr" rid="ref88">88</xref>]. Furthermore, the significant association between difficulties in obtaining drug or RAT supplies and ASD underscores a critical and tangible dimension of the pandemic&#x2019;s psychological impact. Unlike informational uncertainty, the scarcity of essential medical supplies posed a direct threat to personal and family health, leaving individuals feeling vulnerable and powerless to manage their illness [<xref ref-type="bibr" rid="ref89">89</xref>,<xref ref-type="bibr" rid="ref90">90</xref>]. These findings collectively demonstrate that ensuring both informational clarity and physical access to key medical resources is critical for public mental health protection. Future epidemic responses must therefore prioritize robust supply chains and equitable distribution systems to mitigate these potential stressors.</p><p>Similarly, other studies have found that limited access to accurate COVID-19&#x2013;related information was associated with mental health problems [<xref ref-type="bibr" rid="ref43">43</xref>]. To our knowledge, the relationship between difficulty in accessing related information and ASD specifically has been underreported. The lack of clear information generates uncertainty or misconceptions, which can increase anxiety and hence the risk of ASD [<xref ref-type="bibr" rid="ref91">91</xref>]. This risk was exacerbated during the unprecedented surge in infections, which created an urgent public demand for updated, authoritative information regarding transmission dynamics, disease severity, access to health care, and government policies [<xref ref-type="bibr" rid="ref92">92</xref>-<xref ref-type="bibr" rid="ref94">94</xref>]. As supported by previous findings, infected individuals with limited understanding of the situation can experience significant uncertainty and panic [<xref ref-type="bibr" rid="ref93">93</xref>]. Therefore, ensuring public access to regular, accurate, and authoritative information from official sources is a critical public health strategy to mitigate ASD during crises. This also necessitates active efforts to combat the spread of misinformation on social media [<xref ref-type="bibr" rid="ref95">95</xref>].</p><p>Our study further identified that having relatives or friends who experienced severe COVID-19 symptoms was positively associated with ASD among people ever infected with COVID-19. This aligns with existing evidence linking such exposure to mental distress [<xref ref-type="bibr" rid="ref96">96</xref>]. This association may be explained by several mechanisms. First, emotional contagion [<xref ref-type="bibr" rid="ref97">97</xref>] could play a role, whereby the psychological distress of close contacts adversely affects the participant&#x2019;s own mental state. This suggests that people ever infected with COVID-19 should be counseled on the potential mental health impact their illness disclosures may have on significant others. Second, providing emotional and instrumental support to infected significant others may impose a caregiver burden on participants [<xref ref-type="bibr" rid="ref98">98</xref>], contributing to their distress. This burden can be particularly prolonged and severe when significant others develop long COVID, necessitating ongoing monitoring for ASD not only in the patients themselves but also in their caregivers [<xref ref-type="bibr" rid="ref99">99</xref>]. Community-based programs that foster mutual aid networks could help alleviate this burden. In addition, integrating interventions designed to bolster psychological resources such as resilience and optimism&#x2014;which are known to buffer against stress [<xref ref-type="bibr" rid="ref100">100</xref>]&#x2014;into support services for people ever infected with COVID-19 could represent an effective secondary prevention strategy.</p><p>As a universal public health strategy, it is recommended to raise awareness among stakeholders regarding the signs and consequences and preventive measures of ASD or PTSD, including the use of evidence-based brief positive psychology interventions [<xref ref-type="bibr" rid="ref101">101</xref>]. The establishment of a comprehensive, one-stop digital platform for ASD screening and support&#x2014;integrating self-assessment tools, online or printable self-help materials, emotional support hotlines, and facilitated referral pathways&#x2014;could be highly beneficial. Individuals screening positive for ASD should be proactively monitored for the potential development of PTSD in the subsequent months. Furthermore, the risk factors identified in this study could be operationalized into a structured checklist to facilitate the provision of personalized interventions. The development of algorithm-driven digital tools to select specific brief interventions from a pre-established library, based on an individual&#x2019;s unique risk profile, represents a promising avenue for scalable and efficient mental health support. Proactive development of such systems is crucial, as public health capacity is often strained during pandemics, underscoring the importance of preparedness during interpandemic periods.</p><p>The present study has interesting findings but also several limitations. First, our multistage, cluster-based recruitment across purposively selected cities, and voluntary, online participation means the sample is not strictly probability based; response metrics or weights were unavailable, so generalizability should be interpreted with caution, and WeChat-based recruitment may have introduced coverage and self-selection bias. Second, as this is a cross-sectional study, causal relationships cannot be inferred. Third, this study did not assess several important factors, including interpersonal factors (eg, perceived social support [<xref ref-type="bibr" rid="ref52">52</xref>]) and baseline dispositional traits (eg, emotional stability and emotion-regulation skills [<xref ref-type="bibr" rid="ref102">102</xref>,<xref ref-type="bibr" rid="ref103">103</xref>]), which are known predictors of ASD. Additionally, potential confounders such as a history of previous COVID-19 infection were not measured. Fourth, the variable &#x201C;having unvaccinated family members aged greater than or equal to 65&#x201D; measured a composite household stressor that conflates 2 concerns. Future research would benefit from measuring these 2 factors&#x2014;family age structure and vaccination status within the household&#x2014;separately to elucidate their unique and interactive contributions to mental distress. At last, we used logistic regression for risk identification, which does not assess mediation or moderation. Structural equation modeling or related methods based on multi-item scales are needed to clarify pathways and interconnections in future work.</p><p>To summarize, this study found noticeable ASD prevalence among people ever infected with COVID-19 at the explosive ending phase of the COVID-19 pandemic in China and identified some significant personal and environmental factors. The findings are implicative. First, the risk of ASD and PTSD is noticeable. Preparations for universal prevention, screening, brief secondary intervention, stocking of key materials, information campaign, and follow-ups are greatly warranted to prevent ASD and PTSD. Second, health promotion may consider modifying the identified risk factors of ASD. Longitudinal studies are required in future pandemics to better understand the relationship between ASD and PTSD. It is also important to investigate the level of PTSD during the postpandemic stage. The findings may improve prevention of ASD and PTSD in future pandemics.</p></sec></body><back><ack><p>The authors sincerely appreciate participants for their contributions to this study.</p></ack><notes><sec><title>Data Availability</title><p>The data presented in this study are available upon reasonable request from the corresponding author.</p></sec></notes><fn-group><fn fn-type="con"><p>JG contributed to this study as a co-corresponding author, providing supervision and critical revision of the manuscript, and can be reached via email at gujing5@mail.sysu.edu.cn.</p></fn><fn fn-type="conflict"><p>None declared.</p></fn></fn-group><glossary><title>Abbreviations</title><def-list><def-item><term id="abb1">ASD</term><def><p>acute stress disorder</p></def></def-item><def-item><term id="abb2">ICU</term><def><p>intensive care unit</p></def></def-item><def-item><term id="abb3">ORa</term><def><p>adjusted odds ratio</p></def></def-item><def-item><term 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