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<?covid-19-tdm?>
<article xml:lang="EN" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="systematic-review">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Psychol.</journal-id>
<journal-title>Frontiers in Psychology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Psychol.</abbrev-journal-title>
<issn pub-type="epub">1664-1078</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpsyg.2022.846789</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Psychology</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Mental Health Among Medical Students During COVID-19: A Systematic Review and Meta-Analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Jia</surname> <given-names>Qingwen</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Qu</surname> <given-names>Yi</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Sun</surname> <given-names>Huiyuan</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Huo</surname> <given-names>Huisheng</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Yin</surname> <given-names>Hongxia</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>You</surname> <given-names>Dianping</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1618408/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Graduate School, Hebei Medical University</institution>, <addr-line>Shijiazhuang</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Editorial Department of Nursing Practice and Research, Children&#x2019;s Hospital of Hebei Province</institution>, <addr-line>Shijiazhuang</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Scientific Research, Children&#x2019;s Hospital of Hebei Province</institution>, <addr-line>Shijiazhuang</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>Party and Government Integrated Office, Children&#x2019;s Hospital of Hebei Province</institution>, <addr-line>Shijiazhuang</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Mar&#x00ED;a Cristina Richaud, Consejo Nacional de Investigaciones Cient&#x00ED;ficas y T&#x00E9;cnicas (CONICET), Argentina</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Quan Zhuang, Central South University, China; Josu&#x00E9; Quinde, Adventist University of Plata, Argentina</p></fn>
<corresp id="c001">&#x002A;Correspondence: Dianping You, <email>hbyoudianping@163.com</email></corresp>
<fn fn-type="other" id="fn004"><p>This article was submitted to Health Psychology, a section of the journal Frontiers in Psychology</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>10</day>
<month>05</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>846789</elocation-id>
<history>
<date date-type="received">
<day>31</day>
<month>12</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>04</day>
<month>04</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2022 Jia, Qu, Sun, Huo, Yin and You.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Jia, Qu, Sun, Huo, Yin and You</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>The mental health of medical students is an issue worthy of attention, especially during COVID-19. Many studies have shown that depression and anxiety are the main problems faced by medical students. To assess the pooled prevalence of depression and anxiety among medical students worldwide, we conducted this meta-analysis.</p>
</sec>
<sec>
<title>Methods</title>
<p>According to PRISMA, we used a computerized strategy to search studies in EMBASE, PubMed, PsycArticles, Web of Science, and China Biology Medicine disc. The pooled prevalence of depression and anxiety was calculated by a random-effects model. Heterogeneity was explored by subgroup analysis. Sensitivity analysis and publication bias were also carried out in this meta-analysis.</p>
</sec>
<sec>
<title>Results</title>
<p>Of 1316 studies, 41 studies were selected based on 36608 medical students. The pooled depression prevalence was 37.9% (95% CI: 30.7&#x2013;45.4%), and pooled anxiety prevalence was 33.7% (95% CI: 26.8&#x2013;41.1%). The prevalence of depression and anxiety among medical students varied by gender, country, and continent.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>The data reported that the prevalence of depression and anxiety among medical students during COVID-19 was relatively higher than those of the general population and the healthcare workers. The impact of COVID-19 on medical students and how to protect the mental health of medical students are needed to determine through further research.</p>
</sec>
<sec>
<title>Systematic Review Registration</title>
<p>[<ext-link ext-link-type="uri" xlink:href="https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021274015">https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021274015</ext-link>], identifier [CRD42021274015].</p>
</sec>
</abstract>
<kwd-group>
<kwd>COVID-19</kwd>
<kwd>medical students</kwd>
<kwd>depression</kwd>
<kwd>anxiety</kwd>
<kwd>meta-analysis</kwd>
</kwd-group>
<counts>
<fig-count count="9"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="97"/>
<page-count count="15"/>
<word-count count="8235"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>Introduction</title>
<p>College students were considered to be a sensitive and special group, and their mental health seemed to be more troubled, as their vulnerability is exacerbated by their inability to adapt to the new environment of universities, higher education plans, and the insufficient identification and utilization of social resources (<xref ref-type="bibr" rid="B2">Acharya et al., 2018</xref>). Many studies had investigated the mental health problems of college students and explored the related influencing factors. They suggested that college students&#x2019; mental health was affected by academic education, psychological elasticity, stress level, and other factors (<xref ref-type="bibr" rid="B81">Torres et al., 2017</xref>; <xref ref-type="bibr" rid="B2">Acharya et al., 2018</xref>; <xref ref-type="bibr" rid="B5">Alqudah et al., 2021</xref>; <xref ref-type="bibr" rid="B6">Alyoubi et al., 2021</xref>).</p>
<p>In December 2019, unexplained pneumonia suddenly broke out, which had swept the globe in a short time (<xref ref-type="bibr" rid="B25">Galea et al., 2020</xref>). With numerous infected people appearing every day, the government took lockdown measures to control and prevent the serious epidemic (<xref ref-type="bibr" rid="B62">Pierce et al., 2020</xref>; <xref ref-type="bibr" rid="B82">Tran et al., 2020</xref>; <xref ref-type="bibr" rid="B10">Basheti et al., 2021</xref>; <xref ref-type="bibr" rid="B23">Fancourt et al., 2021</xref>). Some studies had reported that mental health was related to COVID-19. A cross-sectional study conducted in China shows that Chinese people&#x2019;s anxiety, depression, and drinking levels are more significant than before, and their mental health status decreases during the outbreak of COVID-19 (<xref ref-type="bibr" rid="B4">Ahmed et al., 2020</xref>). Some studies have shown that anxiety and depression are common mental health problems faced by college students during COVID-19, and they are at a high risk level (<xref ref-type="bibr" rid="B53">Naser et al., 2020</xref>); similarly, research results show that college students are vulnerable to psychological problems during the pandemic of COVID-19 and isolation and distance learning has a significant impact on students&#x2019; anxiety levels (<xref ref-type="bibr" rid="B5">Alqudah et al., 2021</xref>); In addition to COVID-19 patients and medical staff, college students are another group of people who are particularly prone to mental health disorders during the pandemic. Even if not during the outbreak of COVID-19, college students are experiencing considerable anxiety and depression due to academic pressure (<xref ref-type="bibr" rid="B17">Deng et al., 2021</xref>). Some related meta-analyses also confirmed this, the prevalence of depression and anxiety among college students increased during the COVID-19 (<xref ref-type="bibr" rid="B17">Deng et al., 2021</xref>; <xref ref-type="bibr" rid="B28">Guo et al., 2021</xref>).</p>
<p>Compared with other higher education, medical education was regarded as one of the training programs with the highest academic and emotional requirements out of any profession (<xref ref-type="bibr" rid="B7">Azad et al., 2017</xref>; <xref ref-type="bibr" rid="B65">Quek et al., 2019</xref>; <xref ref-type="bibr" rid="B92">Zeng et al., 2019</xref>). This demand and pressure caused a negative impact on the medical students&#x2019; mental health (<xref ref-type="bibr" rid="B11">Basudan et al., 2017</xref>; <xref ref-type="bibr" rid="B76">Shao et al., 2020</xref>). School closures, online teaching, and the inability to complete hospital internships had changed the inherent training model of medical students (<xref ref-type="bibr" rid="B1">Abbasi et al., 2020</xref>; <xref ref-type="bibr" rid="B14">Byrnes et al., 2020</xref>; <xref ref-type="bibr" rid="B24">Farooq et al., 2020</xref>; <xref ref-type="bibr" rid="B78">Soled et al., 2020</xref>; <xref ref-type="bibr" rid="B13">Bilgi et al., 2021</xref>). The study of medical students of bezmialem vakif University shows that many students are deeply affected by the epidemic process, no matter how long they have studied in medical school, one of the main reasons is the interruption of educational activities (<xref ref-type="bibr" rid="B13">Bilgi et al., 2021</xref>). The challenges of COVID-19 to global medical students&#x2019; mental health were unknown, especially the pooled prevalence of depression and anxiety, although some researchers were concerned about medical students&#x2019; mental health during this special period (<xref ref-type="bibr" rid="B44">Liu et al., 2020</xref>; <xref ref-type="bibr" rid="B52">Nakhostin-Ansari et al., 2020</xref>; <xref ref-type="bibr" rid="B29">Gupta et al., 2021</xref>). However, available studies had varied widely in terms of countries, assessments, and sample sizes, and in addition, there had been considerable variations in the reported prevalence of depression and anxiety. Therefore, for future researchers to quickly grasp the depression and anxiety of medical students during the epidemic, to facilitate their further research, this meta-analysis was conducted.</p>
</sec>
<sec id="S2">
<title>Methods</title>
<sec id="S2.SS1">
<title>Data Sources and Search Strategy</title>
<p>This systematic review and meta-analysis had already been registered on PROSPERO before review initiation (CRD42021274015). We searched five databases (EMBASE, PubMed, PsycArticles, Web of Science, and China Biology Medicine disc) to identify the studies, and the final retrieval time of the literature was August 18, 2021. A search strategy consisting of three separate parts was applied to each database (&#x201C;anxiety&#x201D; OR &#x201C;depression&#x201D;) AND (&#x201C;medical student&#x002A;&#x201D; OR &#x201C;students, medical&#x002A;&#x201D;) AND (&#x201C;COVID-19&#x201D; OR &#x201C;pneumonia&#x201D; OR &#x201C;Coronavirus&#x201D; OR &#x201C;SARS-COV-2&#x201D;), and the publication time was limited to 2019-2021. The reference lists of relevant articles were searched for additional eligible papers (<xref ref-type="supplementary-material" rid="DS1">Supplementary Material 1</xref>).</p>
</sec>
<sec id="S2.SS2">
<title>Selection Criteria</title>
<p>Literature inclusion criteria: (1) The sample population consisting of students from medical colleges or medical-related majors; (2) Validated instrument was used to screen depression or anxiety and explicit cutoff value was given in the article; (3) Research conducted during COVID-19; (4) Published articles in English. Exclusion criteria were: (1) Qualitative studies, oral presentations, letter or non-original research; (2) Medical students with mental illness were not excluded; (3) Lack of useful information or the data needed.</p>
</sec>
<sec id="S2.SS3">
<title>Study Selection</title>
<p>After duplicate publications were excluded, irrelevant literature was further excluded through titles and abstracts. Then appraised the remaining articles according to inclusion and exclusion criteria of literature formulated in advance by reading the full texts. Reference lists of the selected articles were checked to identify further articles. The whole process was completed by two researchers independently, and disagreements were resolved through discussion, or a third arbitrator, if necessary.</p>
</sec>
<sec id="S2.SS4">
<title>Data Collection</title>
<p>Two researchers independently reviewed the full text of eligible studies and extracted the following data by using the predefined standardized form: The first author, year of publication, country, study period, study design, sample size, female ratio, assessment tools, and the event of depression or anxiety. For longitudinal studies, data collected during COVID-19 were included. Disagreements were resolved by consensus.</p>
</sec>
<sec id="S2.SS5">
<title>Quality Assessment</title>
<p>AHRQ (Agency for Healthcare Research and Quality criteria) was used to evaluate the methodological quality of the literature included in our meta-analysis, which is suitable for cross-sectional studies (<xref ref-type="bibr" rid="B94">Zhang et al., 2021b</xref>). There are 11 questions in total, those who meet the requirements will get 1 point. After scoring each item, according to the total score, each study quality was assessed as follows: low-quality = 0&#x2013;3; moderate-quality = 4&#x2013;7; high-quality = 8&#x2013;11.</p>
</sec>
<sec id="S2.SS6">
<title>Analysis</title>
<p>We utilized software R (&#x201C;meta&#x201D; package) to perform meta-analytic calculations. To ensure that the prevalence proportions conform to the normal distribution, we converted the data through PRAW (untransformed), PLN (log transformation), PLOGIT (logit transformation), PAS (arcsine transformation), and PFT (Freeman&#x2013;Tukey double arcsine transformation) (<xref ref-type="bibr" rid="B9">Barendregt et al., 2013</xref>; <xref ref-type="bibr" rid="B46">Luo et al., 2021</xref>). Based on the high expected heterogeneity between studies, the random-effects model was used in our meta-analyses. We calculated the pooled prevalence of depression and anxiety, and its corresponding 95% confidence interval (CI). According to the recommendations of the Cochrane Handbook, heterogeneity was estimated by Cochran&#x2019;s Q test (<italic>p</italic> &#x003C; 0.10) and the I<sup>2</sup> statistic: the cutoff value of 75% indicates high heterogeneity. The source of heterogeneity was explored through subgroup analysis, we conducted additional subgroup analysis by countries, assessment tools, gender, and continents. The stability and reliability of pooled prevalence were evaluated by sensitivity analysis (<xref ref-type="bibr" rid="B45">Liu et al., 2021</xref>). Egger test of bias was used to assess the publication bias (<xref ref-type="bibr" rid="B20">Egger et al., 1997</xref>).</p>
</sec>
</sec>
<sec id="S3" sec-type="results">
<title>Results</title>
<sec id="S3.SS1">
<title>Literature Screening</title>
<p>A total of 1310 articles were identified from the electronic database; 6 additional papers were found through a references list check. First, 465 duplicate literatures were excluded, two researchers independently evaluated the remaining 717 articles through title and abstract, irrelevant literature was further excluded. And then appraised the remaining articles according to inclusion and exclusion criteria of literature formulated in advance, 591 articles that did not meet the inclusion criteria were further excluded. The remaining 126 articles were evaluated through reading the full text to determine whether they were included in the meta-analysis. Reference lists of the selected articles were checked to identify further articles. The whole process was completed by two researchers independently, and disagreements were resolved through discussion, or a third arbitrator, if necessary. Ultimately, 41 studies were included in meta-analysis (<xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Flow chart of study selection.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyg-13-846789-g001.tif"/>
</fig>
</sec>
<sec id="S3.SS2">
<title>Study Characteristics</title>
<p><xref ref-type="table" rid="T1">Table 1</xref> shows the overall characteristics of the 41 included studies (<xref ref-type="bibr" rid="B21">Elhadi et al., 2020</xref>; <xref ref-type="bibr" rid="B33">Jindal et al., 2020</xref>; <xref ref-type="bibr" rid="B44">Liu et al., 2020</xref>; <xref ref-type="bibr" rid="B47">Medeiros et al., 2020</xref>; <xref ref-type="bibr" rid="B50">Muhammad Alfareed Zafar et al., 2020</xref>; <xref ref-type="bibr" rid="B51">Nadeem et al., 2020</xref>; <xref ref-type="bibr" rid="B52">Nakhostin-Ansari et al., 2020</xref>; <xref ref-type="bibr" rid="B54">Nihmath Nisha et al., 2020</xref>; <xref ref-type="bibr" rid="B73">Sartorao Filho Carlos et al., 2020</xref>; <xref ref-type="bibr" rid="B80">Sun et al., 2020</xref>; <xref ref-type="bibr" rid="B3">Adhikari et al., 2021</xref>; <xref ref-type="bibr" rid="B8">Banstola et al., 2021</xref>; <xref ref-type="bibr" rid="B10">Basheti et al., 2021</xref>; <xref ref-type="bibr" rid="B13">Bilgi et al., 2021</xref>; <xref ref-type="bibr" rid="B27">Gao et al., 2021</xref>; <xref ref-type="bibr" rid="B28">Guo et al., 2021</xref>; <xref ref-type="bibr" rid="B29">Gupta et al., 2021</xref>; <xref ref-type="bibr" rid="B30">Halperin et al., 2021</xref>; <xref ref-type="bibr" rid="B34">Kalkan U&#x011F;urlu et al., 2021</xref>; <xref ref-type="bibr" rid="B35">Kaplan Serin and Do&#x011F;an, 2021</xref>; <xref ref-type="bibr" rid="B36">Keskin, 2021</xref>; <xref ref-type="bibr" rid="B39">Kuman Tun&#x00E7;el et al., 2021</xref>; <xref ref-type="bibr" rid="B42">Li et al., 2021</xref>; <xref ref-type="bibr" rid="B48">Mekhemar et al., 2021</xref>; <xref ref-type="bibr" rid="B49">Meng et al., 2021</xref>; <xref ref-type="bibr" rid="B55">Nishimura et al., 2021</xref>; <xref ref-type="bibr" rid="B58">Patelarou et al., 2021</xref>; <xref ref-type="bibr" rid="B59">Pavan et al., 2021</xref>; <xref ref-type="bibr" rid="B60">Pelaccia et al., 2021</xref>; <xref ref-type="bibr" rid="B61">Perissotto et al., 2021</xref>; <xref ref-type="bibr" rid="B69">Saeed and Javed, 2021</xref>; <xref ref-type="bibr" rid="B70">Safa et al., 2021</xref>; <xref ref-type="bibr" rid="B79">Song et al., 2021</xref>; <xref ref-type="bibr" rid="B86">Xiao et al., 2021</xref>; <xref ref-type="bibr" rid="B87">Xie et al., 2021</xref>; <xref ref-type="bibr" rid="B89">Yadav et al., 2021</xref>; <xref ref-type="bibr" rid="B90">Yang et al., 2021</xref>; <xref ref-type="bibr" rid="B91">Yin et al., 2021</xref>; <xref ref-type="bibr" rid="B93">Zhang et al., 2021a</xref>; <xref ref-type="bibr" rid="B96">Zheng et al., 2021</xref>; <xref ref-type="bibr" rid="B97">Zhu et al., 2021</xref>). On the whole, 40 cross-sectional studies and 1 longitudinal study were included in our study. We included the two surveys of the longitudinal study, as they were conducted during the pandemic (<xref ref-type="bibr" rid="B27">Gao et al., 2021</xref>). Included studies came from 15 countries, including China, Turkey, the United States, Nepal, Brazil, India, and other countries. The included studies were conducted from January 2020 to February 2021. The minimum sample size of the included study is more than 100 and the maximum sample size is 6348. One of the studies was a transnational study, and the sample population came from Albania (<italic>n</italic> = 197), Greece (<italic>n</italic> = 348), and Spain (<italic>n</italic> = 242) (<xref ref-type="bibr" rid="B58">Patelarou et al., 2021</xref>). Of the 41 included studies, 38 studies reported anxiety prevalence and 31 studies reported depression prevalence. In total, 36608 participants were included. One study included 195 participants, 6 of whom only participated in the depression survey and did not complete the anxiety-related survey (<xref ref-type="bibr" rid="B29">Gupta et al., 2021</xref>).</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Characteristics of 41 included studies.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Author, Year</td>
<td valign="top" align="left">Country</td>
<td valign="top" align="left">Survey time (2020)</td>
<td valign="top" align="left">Study design</td>
<td valign="top" align="center">Sample size (N)</td>
<td valign="top" align="center">Female (%)</td>
<td valign="top" align="center" colspan="2">Assessment<hr/></td>
<td valign="top" align="left">Quality of study</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td/>
<td valign="top" align="left">Depression</td>
<td valign="top" align="center">Anxiety</td>
<td valign="top" align="left"/></tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B3">Adhikari et al., 2021</xref></td>
<td valign="top" align="left">Nepal</td>
<td valign="top" align="left">Aug&#x2013;Sep</td>
<td valign="top" align="left">CS</td>
<td valign="top" align="center">223</td>
<td valign="top" align="center">39.5</td>
<td valign="top" align="left">PHQ-9</td>
<td valign="top" align="left">/</td>
<td valign="top" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B8">Banstola et al., 2021</xref></td>
<td valign="top" align="left">Nepal</td>
<td valign="top" align="left">Jan&#x2013;Feb <xref ref-type="table-fn" rid="t1fns1">&#x002A;</xref></td>
<td valign="top" align="left">CS</td>
<td valign="top" align="center">144</td>
<td valign="top" align="center">100</td>
<td valign="top" align="left">/</td>
<td valign="top" align="left">BAI-21</td>
<td valign="top" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B10">Basheti et al., 2021</xref></td>
<td valign="top" align="left">Jordan</td>
<td valign="top" align="left">Jul</td>
<td valign="top" align="left">CS</td>
<td valign="top" align="center">450</td>
<td valign="top" align="center">67.1</td>
<td valign="top" align="left">HADS</td>
<td valign="top" align="left">HADS</td>
<td valign="top" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B13">Bilgi et al., 2021</xref></td>
<td valign="top" align="left">Turkey</td>
<td valign="top" align="left">Jun</td>
<td valign="top" align="left">CS</td>
<td valign="top" align="center">178</td>
<td valign="top" align="center">71.3</td>
<td valign="top" align="left">PHQ-9</td>
<td valign="top" align="left">GAD-7</td>
<td valign="top" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B21">Elhadi et al., 2020</xref></td>
<td valign="top" align="left">Libya</td>
<td valign="top" align="left">Apr&#x2013;May</td>
<td valign="top" align="left">CS</td>
<td valign="top" align="center">2430</td>
<td valign="top" align="center">79</td>
<td valign="top" align="left">PHQ-9</td>
<td valign="top" align="left">GAD-7</td>
<td valign="top" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B27">Gao et al., 2021</xref></td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Jun&#x2013;Oct</td>
<td valign="top" align="left">LS</td>
<td valign="top" align="center">702</td>
<td valign="top" align="center">71.3</td>
<td valign="top" align="left">DASS-21</td>
<td valign="top" align="left">DASS-21</td>
<td valign="top" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B28">Guo et al., 2021</xref></td>
<td valign="top" align="left">America</td>
<td valign="top" align="left">Jun&#x2013;Aug</td>
<td valign="top" align="left">CS</td>
<td valign="top" align="center">852</td>
<td valign="top" align="center">/</td>
<td valign="top" align="left">/</td>
<td valign="top" align="left">GAD-7</td>
<td valign="top" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B29">Gupta et al., 2021</xref></td>
<td valign="top" align="left">America</td>
<td valign="top" align="left">Apr</td>
<td valign="top" align="left">CS</td>
<td valign="top" align="center">195</td>
<td valign="top" align="center">/</td>
<td valign="top" align="left">PHQ-9</td>
<td valign="top" align="left">GAD-7</td>
<td valign="top" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B30">Halperin et al., 2021</xref></td>
<td valign="top" align="left">America</td>
<td valign="top" align="left">Apr</td>
<td valign="top" align="left">CS</td>
<td valign="top" align="center">1428</td>
<td valign="top" align="center">66.7</td>
<td valign="top" align="left">PHQ-9</td>
<td valign="top" align="left">GAD-7</td>
<td valign="top" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B33">Jindal et al., 2020</xref></td>
<td valign="top" align="left">India</td>
<td valign="top" align="left">May</td>
<td valign="top" align="left">CS</td>
<td valign="top" align="center">762</td>
<td valign="top" align="center">/</td>
<td valign="top" align="left">/</td>
<td valign="top" align="left">GAD-7</td>
<td valign="top" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B34">Kalkan U&#x011F;urlu et al., 2021</xref></td>
<td valign="top" align="left">Turkey</td>
<td valign="top" align="left">May</td>
<td valign="top" align="left">CS</td>
<td valign="top" align="center">411</td>
<td valign="top" align="center">79.3</td>
<td valign="top" align="left">DASS-42</td>
<td valign="top" align="left">DASS-42</td>
<td valign="top" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B35">Kaplan Serin and Do&#x011F;an, 2021</xref></td>
<td valign="top" align="left">America</td>
<td valign="top" align="left">Jun</td>
<td valign="top" align="left">CS</td>
<td valign="top" align="center">344</td>
<td valign="top" align="center">70.9</td>
<td valign="top" align="left">/</td>
<td valign="top" align="left">GAD-7</td>
<td valign="top" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B36">Keskin, 2021</xref></td>
<td valign="top" align="left">Turkey</td>
<td valign="top" align="left">Sep</td>
<td valign="top" align="left">CS</td>
<td valign="top" align="center">259</td>
<td valign="top" align="center">60.2</td>
<td valign="top" align="left">DASS-42</td>
<td valign="top" align="left">DASS-42</td>
<td valign="top" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B39">Kuman Tun&#x00E7;el et al., 2021</xref></td>
<td valign="top" align="left">Turkey</td>
<td valign="top" align="left">Apr&#x2013;May</td>
<td valign="top" align="left">CS</td>
<td valign="top" align="center">3105</td>
<td valign="top" align="center">56.7</td>
<td valign="top" align="left">/</td>
<td valign="top" align="left">BAI-21</td>
<td valign="top" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B42">Li et al., 2021</xref></td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Mar</td>
<td valign="top" align="left">CS</td>
<td valign="top" align="center">6348</td>
<td valign="top" align="center">90.4</td>
<td valign="top" align="left">PHQ-9</td>
<td valign="top" align="left">GAD-7</td>
<td valign="top" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B44">Liu et al., 2020</xref></td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Feb&#x2013;Apr</td>
<td valign="top" align="left">CS</td>
<td valign="top" align="center">217</td>
<td valign="top" align="center">58.5</td>
<td valign="top" align="left">PHQ-9</td>
<td valign="top" align="left">GAD-7</td>
<td valign="top" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B47">Medeiros et al., 2020</xref></td>
<td valign="top" align="left">Brazil</td>
<td valign="top" align="left">May</td>
<td valign="top" align="left">CS</td>
<td valign="top" align="center">113</td>
<td valign="top" align="center">77</td>
<td valign="top" align="left">HADS</td>
<td valign="top" align="left">HADS</td>
<td valign="top" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B48">Mekhemar et al., 2021</xref></td>
<td valign="top" align="left">Germany</td>
<td valign="top" align="left">Jul&#x2013;Jan<xref ref-type="table-fn" rid="t1fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="left">CS</td>
<td valign="top" align="center">211</td>
<td valign="top" align="center">73.5</td>
<td valign="top" align="left">DASS-21</td>
<td valign="top" align="left">DASS-21</td>
<td valign="top" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B49">Meng et al., 2021</xref></td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Feb</td>
<td valign="top" align="left">CS</td>
<td valign="top" align="center">1624</td>
<td valign="top" align="center">/</td>
<td valign="top" align="left">PHQ-9</td>
<td valign="top" align="left">GAD-7</td>
<td valign="top" align="left">High</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B50">Muhammad Alfareed Zafar et al., 2020</xref></td>
<td valign="top" align="left">Pakistan</td>
<td valign="top" align="left">Mar&#x2013;Apr</td>
<td valign="top" align="left">CS</td>
<td valign="top" align="center">323</td>
<td valign="top" align="center">/</td>
<td valign="top" align="left">SDS</td>
<td valign="top" align="left">SAS</td>
<td valign="top" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B51">Nadeem et al., 2020</xref></td>
<td valign="top" align="left">Pakistan</td>
<td valign="top" align="left">Jun</td>
<td valign="top" align="left">CS</td>
<td valign="top" align="center">281</td>
<td valign="top" align="center">69.3</td>
<td valign="top" align="left">/</td>
<td valign="top" align="left">GAD-7</td>
<td valign="top" align="left">Low</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B52">Nakhostin-Ansari et al., 2020</xref></td>
<td valign="top" align="left">Iran</td>
<td valign="top" align="left">Apr</td>
<td valign="top" align="left">CS</td>
<td valign="top" align="center">323</td>
<td valign="top" align="center">52.3</td>
<td valign="top" align="left">BDI-II</td>
<td valign="top" align="left">BAI -21</td>
<td valign="top" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B54">Nihmath Nisha et al., 2020</xref></td>
<td valign="top" align="left">India</td>
<td valign="top" align="left">Apr&#x2013;Jun</td>
<td valign="top" align="left">CS</td>
<td valign="top" align="center">359</td>
<td valign="top" align="center">49.6</td>
<td valign="top" align="left">CES-D</td>
<td valign="top" align="left">GAD-7</td>
<td valign="top" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B55">Nishimura et al., 2021</xref></td>
<td valign="top" align="left">Japan</td>
<td valign="top" align="left">Apr</td>
<td valign="top" align="left">CS</td>
<td valign="top" align="center">473</td>
<td valign="top" align="center">34</td>
<td valign="top" align="left">PHQ-9</td>
<td valign="top" align="left">GAD-7</td>
<td valign="top" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B58">Patelarou et al., 2021</xref></td>
<td valign="top" align="left">Greece</td>
<td valign="top" align="left">Apr&#x2013;May</td>
<td valign="top" align="left">CS</td>
<td valign="top" align="center">348</td>
<td valign="top" align="center">84.8</td>
<td valign="top" align="left">PHQ-9</td>
<td valign="top" align="left">/</td>
<td valign="top" align="left">Moderate</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Spain</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">242</td>
<td valign="top" align="center">85.5</td>
<td/>
<td/>
<td valign="top" align="center"/></tr>
<tr>
<td/>
<td valign="top" align="left">Albania</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">197</td>
<td valign="top" align="center">80.2</td>
<td/>
<td/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B59">Pavan et al., 2021</xref></td>
<td valign="top" align="left">India</td>
<td valign="top" align="left">Aug</td>
<td valign="top" align="left">CS</td>
<td valign="top" align="center">233</td>
<td valign="top" align="center">41.3</td>
<td valign="top" align="left">/</td>
<td valign="top" align="left">GAD-7</td>
<td valign="top" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B60">Pelaccia et al., 2021</xref></td>
<td valign="top" align="left">France</td>
<td valign="top" align="left">May</td>
<td valign="top" align="left">CS</td>
<td valign="top" align="center">1165</td>
<td valign="top" align="center">65.2</td>
<td valign="top" align="left">/</td>
<td valign="top" align="left">STAI-A</td>
<td valign="top" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B61">Perissotto et al., 2021</xref></td>
<td valign="top" align="left">Brazil</td>
<td valign="top" align="left">Mar&#x2013;Jun</td>
<td valign="top" align="left">CS</td>
<td valign="top" align="center">347</td>
<td valign="top" align="center">65.9</td>
<td valign="top" align="left">HADS</td>
<td valign="top" align="left">HADS</td>
<td valign="top" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B69">Saeed and Javed, 2021</xref></td>
<td valign="top" align="left">Pakistan</td>
<td valign="top" align="left">Jun&#x2013;Aug</td>
<td valign="top" align="left">CS</td>
<td valign="top" align="center">234</td>
<td valign="top" align="center">47.4</td>
<td valign="top" align="left">PHQ-9</td>
<td valign="top" align="left">GAD-7</td>
<td valign="top" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B70">Safa et al., 2021</xref></td>
<td valign="top" align="left">Bangladesh</td>
<td valign="top" align="left">Apr&#x2013;May</td>
<td valign="top" align="left">CS</td>
<td valign="top" align="center">425</td>
<td valign="top" align="center">62.4</td>
<td valign="top" align="left">HADS</td>
<td valign="top" align="left">HADS</td>
<td valign="top" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B73">Sartorao Filho Carlos et al., 2020</xref></td>
<td valign="top" align="left">Brazil</td>
<td valign="top" align="left">May</td>
<td valign="top" align="left">CS</td>
<td valign="top" align="center">340</td>
<td valign="top" align="center">73.8</td>
<td valign="top" align="left">PHQ-9</td>
<td valign="top" align="left">GAD-7</td>
<td valign="top" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B79">Song et al., 2021</xref></td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Feb</td>
<td valign="top" align="left">CS</td>
<td valign="top" align="center">435</td>
<td valign="top" align="center">/</td>
<td valign="top" align="left">SDS</td>
<td valign="top" align="left">SAS</td>
<td valign="top" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B80">Sun et al., 2020</xref></td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Feb&#x2013;Mar</td>
<td valign="top" align="left">CS</td>
<td valign="top" align="center">474</td>
<td valign="top" align="center">84.8</td>
<td valign="top" align="left">/</td>
<td valign="top" align="left">SAS</td>
<td valign="top" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B86">Xiao et al., 2021</xref></td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Feb</td>
<td valign="top" align="left">CS</td>
<td valign="top" align="center">933</td>
<td valign="top" align="center">70.1</td>
<td valign="top" align="left">PHQ-9</td>
<td valign="top" align="left">GAD-7</td>
<td valign="top" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B87">Xie et al., 2021</xref></td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Feb</td>
<td valign="top" align="left">CS</td>
<td valign="top" align="center">1026</td>
<td valign="top" align="center">63.6</td>
<td valign="top" align="left">SDS</td>
<td valign="top" align="left">/</td>
<td valign="top" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B89">Yadav et al., 2021</xref></td>
<td valign="top" align="left">Nepal</td>
<td valign="top" align="left">Jun</td>
<td valign="top" align="left">CS</td>
<td valign="top" align="center">409</td>
<td valign="top" align="center">83.1</td>
<td valign="top" align="left">PHQ-9</td>
<td valign="top" align="left">GAD-7</td>
<td valign="top" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B90">Yang et al., 2021</xref></td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Apr&#x2013;May</td>
<td valign="top" align="left">CS</td>
<td valign="top" align="center">212</td>
<td valign="top" align="center">88.2</td>
<td valign="top" align="left">/</td>
<td valign="top" align="left">SAS</td>
<td valign="top" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B91">Yin et al., 2021</xref></td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Feb</td>
<td valign="top" align="left">CS</td>
<td valign="top" align="center">5982</td>
<td valign="top" align="center">60</td>
<td valign="top" align="left">PHQ-9</td>
<td valign="top" align="left">GAD-7</td>
<td valign="top" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B93">Zhang et al., 2021a</xref></td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Apr</td>
<td valign="top" align="left">CS</td>
<td valign="top" align="center">1041</td>
<td valign="top" align="center">52.4</td>
<td valign="top" align="left">DASS-21</td>
<td valign="top" align="left">DASS-21</td>
<td valign="top" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B96">Zheng et al., 2021</xref></td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Dec</td>
<td valign="top" align="left">CS</td>
<td valign="top" align="center">468</td>
<td valign="top" align="center">/</td>
<td valign="top" align="left">PHQ-9</td>
<td valign="top" align="left">GAD-7</td>
<td valign="top" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B97">Zhu et al., 2021</xref></td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Mar&#x2013;Apr</td>
<td valign="top" align="left">CS</td>
<td valign="top" align="center">342</td>
<td valign="top" align="center">86.8</td>
<td valign="top" align="left">PHQ-9</td>
<td valign="top" align="left">GAD-7</td>
<td valign="top" align="left">Moderate</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t1fns1"><p><italic>&#x201C;/&#x201D; mean Not reported. Study design: LS, longitudinal study; CS, cross-sectional study. Assessment of depression: PHQ-9, Patient Health Questionnaire-9; SDS, Self-Rating Depression Scale; BDI-II, Beck Depression Inventory-II; CES-D, Center for Epidemiology Studies for Depression. Assessment of anxiety: BAI-21, Beck Anxiety Inventory 21-item; GAD-7, Generalized Anxiety Disorder 7-item Scale; STAI-A, State-Trait Anxiety Inventory; SAS, Self-Rating Anxiety Scale. Assessment of anxiety and depression: DASS-21, Depression Anxiety and Stress Scale-21; DASS-42, Depression Anxiety and Stress Scale-42; HADS, Hospital Anxiety and Depression Scale. &#x002A;Data collection from January to February- 2021. &#x002A;&#x002A;Data collection from July 2020 to January 2021.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS3">
<title>Quality of Study</title>
<p>According to the methodological quality evaluation of the literature by two researchers, forty studies were of moderate quality, one of high quality (<xref ref-type="bibr" rid="B49">Meng et al., 2021</xref>), and one of low quality (<xref ref-type="bibr" rid="B51">Nadeem et al., 2020</xref>). Our meta-analysis will not include low quality studies (<xref ref-type="supplementary-material" rid="DS2">Supplementary Material 2</xref>).</p>
</sec>
<sec id="S3.SS4">
<title>Prevalence of Depression and Anxiety</title>
<p>Meta-analysis included 31 of the total studies with depression (<italic>n</italic> = 29036), the pooled prevalence of depression was 37.9% (95% CI: 30.7&#x2013;45.4%) with high heterogeneity (<italic>I</italic><sup>2</sup> = 99%, <italic>p</italic> = 0.00) (<xref ref-type="fig" rid="F2">Figure 2</xref>). Of the 41 studies, 37 studies (<italic>n</italic> = 34285) with the condition of anxiety were conducted to meta-analysis. The pooled prevalence of anxiety was 33.7% (95% CI: 26.8&#x2013;41.1%) with high heterogeneity (<italic>I</italic><sup>2</sup> = 99%, <italic>p</italic> = 0.00) (<xref ref-type="fig" rid="F3">Figure 3</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>Forest plot for depression.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyg-13-846789-g002.tif"/>
</fig>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>Forest plot for anxiety.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyg-13-846789-g003.tif"/>
</fig>
</sec>
<sec id="S3.SS5">
<title>Subgroup Analysis</title>
<p>According to subgroup analysis of assessment instruments, the lowest pooled prevalence of anxiety was 16.1% (95% CI: 2.0&#x2013;39.9%) used SAS with high heterogeneity (<italic>I</italic><sup>2</sup> = 99%, <italic>p</italic> &#x003C; 0.01). The pooled prevalence of depression used SDS was 18.8% (95% CI: 14.9&#x2013;23.0%) with high heterogeneity (<italic>I</italic><sup>2</sup> = 79%, <italic>p</italic> &#x003C; 0.01) (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Subgroup analysis of assessment.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left" colspan="5">Depression</td>
<td valign="top" align="center" colspan="5">Anxiety</td>
</tr>
<tr>
<td valign="top" align="center" colspan="10"><hr/></td>
</tr>
<tr>
<td valign="top" align="left">Assessment</td>
<td valign="top" align="center">No. of Studies</td>
<td valign="top" align="center">P (%) mean (95%CI)</td>
<td valign="top" align="center">I<sup>2</sup></td>
<td valign="top" align="center">P value</td>
<td valign="top" align="left">Assessment</td>
<td valign="top" align="center">No. of Studies</td>
<td valign="top" align="center">P (%) mean (95%CI)</td>
<td valign="top" align="center">I<sup>2</sup></td>
<td valign="top" align="center">P value</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">PHQ-9</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">37.1% (27.4%&#x2013;47.4%)</td>
<td valign="top" align="center">99%</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="left">GAD-7</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">33.5% (24.1%&#x2013;43.6%)</td>
<td valign="top" align="center">99%</td>
<td valign="top" align="center">0.00</td>
</tr>
<tr>
<td valign="top" align="left">SDS</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">18.8% (14.9%&#x2013;23.0%)</td>
<td valign="top" align="center">79%</td>
<td valign="top" align="center">&#x003C; 0.01</td>
<td valign="top" align="left">SAS</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">16.1% (2.0% &#x2013;39.9%)</td>
<td valign="top" align="center">99%</td>
<td valign="top" align="center">&#x003C; 0.01</td>
</tr>
<tr>
<td valign="top" align="left">BDI-II</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">27.6% (22.8%&#x2013;32.8%)</td>
<td valign="top" align="center">/</td>
<td valign="top" align="center">/</td>
<td valign="top" align="left">BAI-21</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">26.4% (16.2%&#x2013;38.1%)</td>
<td valign="top" align="center">94%</td>
<td valign="top" align="center">&#x003C; 0.01</td>
</tr>
<tr>
<td valign="top" align="left">CES-D</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">74.7% (69.8%&#x2013;79.1%)</td>
<td valign="top" align="center">/</td>
<td valign="top" align="center">/</td>
<td valign="top" align="left">STAI-A</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">22.7% (20.3%&#x2013;25.2%)</td>
<td valign="top" align="center">/</td>
<td valign="top" align="center">/</td>
</tr>
<tr>
<td valign="top" align="left">DASS-21</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">26.0% (15.7%&#x2013;37.9%)</td>
<td valign="top" align="center">95%</td>
<td valign="top" align="center">&#x003C; 0.01</td>
<td valign="top" align="left">DASS-21</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">24.9% (19.6%&#x2013;30.6%)</td>
<td valign="top" align="center">89%</td>
<td valign="top" align="center">&#x003C; 0.01</td>
</tr>
<tr>
<td valign="top" align="left">HADS</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">46.4% (35.6%&#x2013;57.4%)</td>
<td valign="top" align="center">94%</td>
<td valign="top" align="center">&#x003C; 0.01</td>
<td valign="top" align="left">HADS</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">58.5% (52.2%&#x2013;64.6%)</td>
<td valign="top" align="center">78%</td>
<td valign="top" align="center">&#x003C; 0.01</td>
</tr>
<tr>
<td valign="top" align="left">DASS-42</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">65.6% (45.3%&#x2013;83.3%)</td>
<td valign="top" align="center">96%</td>
<td valign="top" align="center">&#x003C; 0.01</td>
<td valign="top" align="left">DASS-42</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">61.5% (40.4%&#x2013;80.6%)</td>
<td valign="top" align="center">97%</td>
<td valign="top" align="center">&#x003C; 0.01</td>
</tr>
</tbody>
</table></table-wrap>
<p>When classified according to countries, the prevalence of depression and anxiety in Japan was significantly lower than in other countries (15.9%, 95% CI: 12.7&#x2013;19.5%; 7.2%, 95% CI: 5.0&#x2013;9.9%). Interestingly, the prevalence of depression in Spanish medical students was the highest (86.0%, 95% CI: 80.9&#x2013;90.1%), and Bangladesh had the highest prevalence of anxiety among many countries (65.9%, 95% CI: 61.2&#x2013;70.4%) (<xref ref-type="fig" rid="F4">Figures 4</xref>, <xref ref-type="fig" rid="F5">5</xref>). Then, we conducted subgroup analysis according to the geographical location of the countries, and found that the prevalence of depression was the highest (52.3%, 95% CI: 22.9&#x2013;80.8%) but the prevalence of anxiety was relatively low (23.2%, 95% CI: 21.0&#x2013;25.5%) in Europe. At the same time, we found that the pooled prevalence of anxiety in female was higher than that in male (33.8%, 95% CI: 23.6&#x2013;45.9%; 28.4%, 95% CI:19.2&#x2013;40.0%), the pooled prevalence of depression also showed this characteristic (36.7%, 95% CI: 27.3&#x2013;46.6%; 32.2%, 95% CI:22.4&#x2013;42.8%) (<xref ref-type="table" rid="T3">Table 3</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption><p>Subgroup analysis by countries for depression.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyg-13-846789-g004.tif"/>
</fig>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption><p>Subgroup analysis by countries for anxiety.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyg-13-846789-g005.tif"/>
</fig>
<table-wrap position="float" id="T3">
<label>TABLE 3</label>
<caption><p>Subgroup analysis based on gender and region.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left" colspan="2">Subgroup<hr/></td>
<td valign="top" align="center" colspan="4">Depression<hr/></td>
<td valign="top" align="center" colspan="4">Anxiety<hr/></td>
</tr>
<tr>
<td valign="top" colspan="2"/>
<td valign="top" align="center">No. of Studies</td>
<td valign="top" align="center">P (%) mean (95%CI)</td>
<td valign="top" align="center">I<sup>2</sup></td>
<td valign="top" align="center">P value</td>
<td valign="top" align="center">No. of Studies</td>
<td valign="top" align="center">P (%) mean (95%CI)</td>
<td valign="top" align="center">I<sup>2</sup></td>
<td valign="top" align="center">P value</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Gender</td>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">32.2% (22.4%&#x2013;42.8%)</td>
<td valign="top" align="center">96%</td>
<td valign="top" align="center">&#x003C; 0.01</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">28.4% (19.2%&#x2013;40.0%)</td>
<td valign="top" align="center">98%</td>
<td valign="top" align="center">&#x003C; 0.01</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">36.7% (27.3%&#x2013;46.6%)</td>
<td valign="top" align="center">98%</td>
<td valign="top" align="center">&#x003C; 0.01</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">33.8% (23.6%&#x2013;45.9%)</td>
<td valign="top" align="center">99%</td>
<td valign="top" align="center">&#x003C; 0.01</td>
</tr>
<tr>
<td valign="top" align="left">Region</td>
<td valign="top" align="left">Africa</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">21.6% (20.0%&#x2013;23.3%)</td>
<td valign="top" align="center">/</td>
<td valign="top" align="center">/</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">11.0% (9.8%&#x2013;12.3%)</td>
<td valign="top" align="center">/</td>
<td valign="top" align="center">/</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Asia</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">36.2% (27.6%&#x2013;45.3%)</td>
<td valign="top" align="center">99%</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">33.2% (24.4%&#x2013;42.6%)</td>
<td valign="top" align="center">99%</td>
<td valign="top" align="center">0.00</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Europe</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">52.3% (22.9%&#x2013;80.8%)</td>
<td valign="top" align="center">98%</td>
<td valign="top" align="center">&#x003C; 0.01</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">23.2% (21.0%&#x2013;25.5%)</td>
<td valign="top" align="center">34%</td>
<td valign="top" align="center">0.22</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">North America</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">39.3% (12.1%&#x2013;70.9%)</td>
<td valign="top" align="center">99%</td>
<td valign="top" align="center">&#x003C; 0.01</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">38.2% (27.3%&#x2013;49.7%)</td>
<td valign="top" align="center">94%</td>
<td valign="top" align="center">&#x003C; 0.01</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">South America</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">46.6% (29.1%&#x2013;64.5%)</td>
<td valign="top" align="center">97%</td>
<td valign="top" align="center">&#x003C; 0.01</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">49.0% (36.6%&#x2013;61.5%)</td>
<td valign="top" align="center">94%</td>
<td valign="top" align="center">&#x003C; 0.01</td>
</tr>
</tbody>
</table></table-wrap>
</sec>
<sec id="S3.SS6">
<title>Sensitivity Analysis and Publication Bias</title>
<p>The results of sensitivity analysis showed that there was no significant change in the prevalence of depression and anxiety (<xref ref-type="fig" rid="F6">Figures 6</xref>, <xref ref-type="fig" rid="F7">7</xref>). Similarly, Egger&#x2019;s regression test showed that there was no publication bias on depression and anxiety (<italic>p</italic> = 0.3742, <italic>p</italic> = 0.0528) (<xref ref-type="fig" rid="F8">Figures 8</xref>, <xref ref-type="fig" rid="F9">9</xref>).</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption><p>Sensitivity analysis of depression.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyg-13-846789-g006.tif"/>
</fig>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption><p>Sensitivity analysis of anxiety.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyg-13-846789-g007.tif"/>
</fig>
<fig id="F8" position="float">
<label>FIGURE 8</label>
<caption><p>Egger&#x2019;s regression test for depression.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyg-13-846789-g008.tif"/>
</fig>
<fig id="F9" position="float">
<label>FIGURE 9</label>
<caption><p>Egger&#x2019;s regression test for anxiety.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyg-13-846789-g009.tif"/>
</fig>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>Discussion</title>
<p>We conducted this systematic review and meta-analysis to determine the prevalence of depression and anxiety in medical students over the world during the COVID-19 pandemic. In our study, we find that the pooled prevalence of depression and anxiety among medical students was 37.9%, 95% CI: 30.7&#x2013;45.4%; 33.7%, 95% CI: 26.8&#x2013;41.1%, more prominent relative to the general population and healthcare workers (<xref ref-type="bibr" rid="B57">Pappa et al., 2020</xref>; <xref ref-type="bibr" rid="B15">Castaldelli-Maia et al., 2021</xref>; <xref ref-type="bibr" rid="B16">C&#x00E9;nat et al., 2021</xref>; <xref ref-type="bibr" rid="B66">Raoofi et al., 2021</xref>; <xref ref-type="bibr" rid="B71">Sahebi et al., 2021</xref>; <xref ref-type="bibr" rid="B72">Santab&#x00E1;rbara et al., 2021</xref>). This seemed to be consistent with the prevalence of anxiety reported by <xref ref-type="bibr" rid="B65">Quek et al. (2019)</xref> (33.8%, 95% CI: 29.2&#x2013;38.7%). However, we found that the research they included had a heavy period, from 1998 to 2019, while the research we included was more concentrated. We inferred that an excessive period might have an impact on the pooled prevalence of anxiety. Another study reported that the prevalence of anxiety among medical students during the epidemic was 28%, which was lower than our conclusion (<xref ref-type="bibr" rid="B40">Lasheras et al., 2020</xref>). We found that their latest literature search time was August 26, 2020, although the epidemic situation had been partially controlled at that time, its influence still existed. Even in China, medical students deferred enrollment until October 1, 2020. Repeated signs of the epidemic situation and the fear of returning to school, the impact of these factors on the mental health among medical students needed to be considered. In addition, we also found that the prevalence of depression among medical students was relatively high during the COVID-19 compared with before (<xref ref-type="bibr" rid="B63">Puthran et al., 2016</xref>; <xref ref-type="bibr" rid="B68">Rotenstein et al., 2016</xref>).</p>
<p>Interestingly, when we performed a subgroup analysis based on the sample source countries, we found that the pooled prevalence of depression and anxiety among Chinese medical students was not prominent (28.7%, 95% CI: 20.3&#x2013;38.0%; 24.3%, 95% CI: 15.7&#x2013;34.0%). We further divided countries according to continents and conducted subgroup analysis. It was noted that the prevalence of depression was the highest in Europe (52.3%, 95% CI: 22.9&#x2013;80.8%) and relatively low in Asia (36.2%, 95% CI: 27.6&#x2013;45.3%). In terms of anxiety prevalence, Europe is at a low level (23.2%, 95% CI: 21.0&#x2013;25.5%), and South America has the highest anxiety prevalence (49.0%, 95% CI: 36.6&#x2013;61.5%). Research showed that rumors about the epidemic affected the mental health of citizens (<xref ref-type="bibr" rid="B4">Ahmed et al., 2020</xref>; <xref ref-type="bibr" rid="B88">Xiong et al., 2020</xref>), and the mental health of the population was also related to the nationwide epidemic control (<xref ref-type="bibr" rid="B32">Jiang, 2020</xref>). Limited outdoor activities, increased new cases and fear of the possibility to be infected were identified to impact mental health (<xref ref-type="bibr" rid="B32">Jiang, 2020</xref>; <xref ref-type="bibr" rid="B85">Wang et al., 2020c</xref>; <xref ref-type="bibr" rid="B35">Kaplan Serin and Do&#x011F;an, 2021</xref>). In particular, the closure of schools and online teaching had brought unprecedented challenges to the education of medical students (<xref ref-type="bibr" rid="B13">Bilgi et al., 2021</xref>), and the effects of social distance and self-isolation might make students feel more vulnerable and lonelier, increasing depression and anxiety symptoms (<xref ref-type="bibr" rid="B31">Huang et al., 2020</xref>). Similarly, in some countries, medical students were limited to a clinical internship during the epidemic. Sudden changes impacted the traditional training mode of medical students (<xref ref-type="bibr" rid="B1">Abbasi et al., 2020</xref>; <xref ref-type="bibr" rid="B37">Keskin and &#x00D6;zkan, 2021</xref>). The impact of COVID-19 on psychological and mental health can be reduced by timely updating the relevant accurate information such as the number of new epidemic cases and the route of transmission (<xref ref-type="bibr" rid="B83">Wang et al., 2020a</xref>). Benefit from the rapid and effective measures taken by the Chinese government, the epidemic was quickly and effectively controlled and the public panic was reduced (<xref ref-type="bibr" rid="B41">Lau et al., 2020</xref>; <xref ref-type="bibr" rid="B56">Pan et al., 2020</xref>; <xref ref-type="bibr" rid="B42">Li et al., 2021</xref>).</p>
<p>Finally, we found that the prevalence of depression and anxiety in female medical students was higher than that in males, and some previous studies have reported a similar situation (<xref ref-type="bibr" rid="B63">Puthran et al., 2016</xref>; <xref ref-type="bibr" rid="B65">Quek et al., 2019</xref>; <xref ref-type="bibr" rid="B6">Alyoubi et al., 2021</xref>; <xref ref-type="bibr" rid="B46">Luo et al., 2021</xref>). Females seemed to be more vulnerable to mental health problems than males (<xref ref-type="bibr" rid="B12">Baxter et al., 2013</xref>; <xref ref-type="bibr" rid="B64">Qiu et al., 2020</xref>; <xref ref-type="bibr" rid="B88">Xiong et al., 2020</xref>; <xref ref-type="bibr" rid="B34">Kalkan U&#x011F;urlu et al., 2021</xref>), we speculated that it was related to females unique physiological and psychological factors: females are more likely to articulate their worries and emotions (<xref ref-type="bibr" rid="B11">Basudan et al., 2017</xref>; <xref ref-type="bibr" rid="B43">Lin et al., 2021</xref>). When we performed subgroup analysis according to the assessment tools, we found that different depression and anxiety assessment tools also brought different prevalence rates of depression and anxiety. Due to the diversity of sample sources and the high heterogeneity of subgroup analysis, we could not infer the impact of different assessment tools on the prevalence of depression and anxiety among medical students.</p>
<p>COVID-19 has a huge impact on mental health. An American study showed that the prevalence of depressive symptoms was more than 3 times higher during COVID-19 compared with before (<xref ref-type="bibr" rid="B22">Ettman et al., 2020</xref>). Economic turmoil, home quarantine and the uncertainty of COVID-19 cases had brought great stress to the people, accompanied by an increase in the level of anxiety and depression during the COVID-19 pandemic (<xref ref-type="bibr" rid="B77">Shehata et al., 2021</xref>). Studies have shown that strict government policies slow down the spread of COVID-19, but such interventions disrupt daily life and lead to adverse mental health outcomes, especially strict blockade measures and home confinement with unknown duration. Epidemiological monitoring and targeted intervention should be implemented in time to prevent further mental health problems (<xref ref-type="bibr" rid="B67">Rossi et al., 2020</xref>; <xref ref-type="bibr" rid="B84">Wang et al., 2020b</xref>; <xref ref-type="bibr" rid="B18">Ding et al., 2021</xref>). Personal exposure to COVID-19 is an important risk factor for increased anxiety and depressive symptoms during pandemic (<xref ref-type="bibr" rid="B18">Ding et al., 2021</xref>). The prevalence of anxiety was more significant in people who had infected with COVID-19 or knew someone who had experienced illness (<xref ref-type="bibr" rid="B74">Shabahang et al., 2021</xref>). In addition, less exercise and lack of social support can also lead to more anxiety and depression symptoms (<xref ref-type="bibr" rid="B38">Kong et al., 2020</xref>; <xref ref-type="bibr" rid="B75">Shah et al., 2021</xref>).</p>
<p>Although study had shown that the harm caused by COVID-19 pandemic to the overall mental health of the population will improve over time (<xref ref-type="bibr" rid="B26">Gallagher et al., 2021</xref>), epidemics and other health emergencies may lead to harmful and long-term psychosocial consequences, which cannot be ignored (<xref ref-type="bibr" rid="B19">Dong and Bouey, 2020</xref>). Even if the epidemic ends, its negative socio-economic consequences, such as work difficulties, may also have an adverse impact on the mental health of the population (<xref ref-type="bibr" rid="B67">Rossi et al., 2020</xref>). Without intervention and appropriate health and social policies, mental health problems will have serious adverse consequences. The government plays an important role in reducing the prevalence of anxiety and depression during COVID-19. The government&#x2019;s decisive and rapid epidemic prevention measures can help to reduce the further spread of the COVID-19 and protect the mental health of the public (<xref ref-type="bibr" rid="B84">Wang et al., 2020b</xref>; <xref ref-type="bibr" rid="B95">Zhang et al., 2021c</xref>). In addition, family companionship can reduce anxiety and depression levels (<xref ref-type="bibr" rid="B75">Shah et al., 2021</xref>).</p>
</sec>
<sec id="S5" sec-type="conclusion">
<title>Conclusion</title>
<p>In conclusion, this systematic review and meta-analysis reported a relatively high prevalence of depression and anxiety. The prevalence of depression and anxiety was 37.9%, 33.7%, higher than that of the general population and healthcare workers. The prevalence varied in different countries. Researchers can further explore the differences and influencing factors of mental health among medical students with different cultural backgrounds.</p>
<sec id="S5.SS1">
<title>Limitations and Strengths</title>
<p>In conclusion, this systematic review and meta-analysis reported a relatively high prevalence of depression and anxiety. For its high heterogeneity, we tried to use extensive subgroup analysis to reveal the source of heterogeneity. According to the results of subgroup analysis, we found that the combined prevalence was not reversed, indicating that our results remained relatively stable. Secondly, only studies published in English were eligible to be included in the meta-analysis, which limits the estimation of prevalence to a certain extent. In addition, most studies were descriptive, the association between COVID-19 and medical students&#x2019; depression and anxiety may not imply a causal relation. Moreover, the prevalence of the included studies was estimated by self-report, and the differences in individual emotional expressions are also factors that need further consideration. Then, due to the small number of studies in some countries, although we combine countries into continents for subgroup analysis, the number of studies in Africa is still small, and future researchers should pay attention to this problem. However, we have to say that our meta-analysis includes a sizeable sample size (n = 36608). Despite some limitations, the findings still have some key significance. Importantly, they support other researchers to grasp the prevalence of depression and anxiety in medical students during COVID-19, to make corresponding psychological intervention measures.</p>
</sec>
</sec>
<sec id="S6" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="DS1">Supplementary Material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="S7">
<title>Author Contributions</title>
<p>QJ conducted the data analyses and wrote the manuscript. HH and HY conducted the literature search. YQ and HS conducted the study quality assessment. DY conducted the supervision, review, and editing. All authors approved the final manuscript.</p>
</sec>
<sec id="conf1" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="pudiscl1" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<sec id="S8" sec-type="supplementary-material">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fpsyg.2022.846789/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpsyg.2022.846789/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.docx" id="DS1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Data_Sheet_2.docx" id="DS2" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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