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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Microbiol.</journal-id>
<journal-title>Frontiers in Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">1664-302X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmicb.2017.02092</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Microbiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Seroepidemiology and Risk Factors of <italic>Toxoplasma gondii</italic> Infection among the Newly Enrolled Undergraduates and Postgraduate Students in China</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Yang</surname> <given-names>Na</given-names></name>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/489125/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Dawei</given-names></name>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Xing</surname> <given-names>Mengen</given-names></name>
</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Chenghuan</given-names></name>
</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Jiaqi</given-names></name>
</contrib>
<contrib contrib-type="author">
<name><surname>Wu</surname> <given-names>Anhe</given-names></name>
</contrib>
<contrib contrib-type="author">
<name><surname>Sang</surname> <given-names>Xiaoyu</given-names></name>
<uri xlink:href="http://loop.frontiersin.org/people/195297/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Feng</surname> <given-names>Ying</given-names></name>
<uri xlink:href="http://loop.frontiersin.org/people/489136/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Jiang</surname> <given-names>Ning</given-names></name>
<uri xlink:href="http://loop.frontiersin.org/people/460249/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Chen</surname> <given-names>Qijun</given-names></name>
<xref ref-type="author-notes" rid="fn001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/360093/overview"/>
</contrib>
</contrib-group>
<aff><institution>Key Laboratory of Zoonosis of Liaoning Province, College of Animal Science and Veterinary Medicine, Shenyang Agricultural University</institution>, <addr-line>Shenyang</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: <italic>Guan Zhu, Texas A&#x0026;M University, United States</italic></p></fn>
<fn fn-type="edited-by"><p>Reviewed by: <italic>Shuping Zhang, University of Missouri, United States; Eloiza Teles Caldart, Universidade Estadual de Londrina, Brazil</italic></p></fn>
<fn fn-type="corresp" id="fn001"><p>&#x002A;Correspondence: <italic>Qijun Chen, <email>qijunchen759@syau.edu.cn</email></italic></p></fn>
<fn fn-type="other" id="fn002"><p><italic><sup>&#x2020;</sup>These authors have contributed equally to this work</italic>.</p></fn>
<fn fn-type="other" id="fn003"><p>This article was submitted to Infectious Diseases, a section of the journal Frontiers in Microbiology</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>26</day>
<month>10</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="collection">
<year>2017</year>
</pub-date>
<volume>8</volume>
<elocation-id>2092</elocation-id>
<history>
<date date-type="received">
<day>15</day>
<month>06</month>
<year>2017</year>
</date>
<date date-type="accepted">
<day>11</day>
<month>10</month>
<year>2017</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2017 Yang, Wang, Xing, Li, Li, Wu, Sang, Feng, Jiang and Chen.</copyright-statement>
<copyright-year>2017</copyright-year>
<copyright-holder>Yang, Wang, Xing, Li, Li, Wu, Sang, Feng, Jiang and Chen</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) or licensor 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>
<p><italic>Toxoplasma gondii</italic> is an obligate intracellular zoonotic parasite, infecting warm-blood animals including humans. Previous serological surveys of <italic>T. gondii</italic> infection have focused on people of different occupations and special groups, such as slaughterhouse workers, AIDS patients and pregnant women. To investigate the potential impact of <italic>T. gondii</italic> infection on the health of young students, the prevalence of <italic>T. gondii</italic> infection and associated risk factors among the newly enrolled undergraduates and postgraduate students were investigated. A total of 3,569 newly enrolled students (age range: 15- to 37-years-old, median 26 years) from various regions of China were recruited in this study. The serum samples were tested for the presence of <italic>T. gondii</italic> specific IgG by the modified agglutination test (MAT). Questionnaires were used to collect information on risk factors for <italic>T. gondii</italic> infection. Sixty-five (1.82%) out of 3,569 participants were seropositive for IgG antibodies to <italic>T. gondii</italic> by MAT (titer&#x2265;1:20). Four variables were found to be positively associated with <italic>T. gondii</italic> infection, including primary geographical location, living in rural areas, gardening or agriculture, and drinking unboiled water by the univariate logistic regression, and only gardening or agriculture was the independent risk factor for <italic>T. gondii</italic> positivity by using multivariate logistic regression in this study, which may provide information to guide future research and control policies.</p>
</abstract>
<kwd-group>
<kwd><italic>Toxoplasma gondii</italic></kwd>
<kwd>seroepidemiology</kwd>
<kwd>risk factors</kwd>
<kwd>students</kwd>
<kwd>China</kwd>
</kwd-group>
<contract-num rid="cn001">31201894</contract-num>
<contract-num rid="cn001">31672546</contract-num>
<contract-sponsor id="cn001">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content></contract-sponsor>
<counts>
<fig-count count="1"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="19"/>
<page-count count="7"/>
<word-count count="0"/>
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</article-meta>
</front>
<body>
<sec><title>Introduction</title>
<p><italic>Toxoplasma gondii</italic> is an obligate intracellular zoonotic parasite, infecting warm-blood animals, including humans. It has been reported that one-third of the human population worldwide and more than 7% of the population in China are chronically infected with <italic>T. gondii</italic> (<xref ref-type="bibr" rid="B6">Dubey, 2010</xref>; <xref ref-type="bibr" rid="B19">Zhou et al., 2011</xref>; <xref ref-type="bibr" rid="B13">Qin et al., 2014</xref>). Humans can be infected through three major ways including consumption of undercooked meat containing <italic>T. gondii</italic> tissue cysts, ingesting oocysts-contaminated water, soil, vegetables and fruits, and transmission from mother to fetus during pregnancy (<xref ref-type="bibr" rid="B6">Dubey, 2010</xref>; <xref ref-type="bibr" rid="B15">Wang et al., 2016</xref>).</p>
<p>In women, primary infection during pregnancy can cause severe damage to fetus and newborns including stillbirth, abortion and blindness. It can cause severe infections in individuals with compromised immune systems such as patients with AIDS, cancer treatment or organ transplantation (<xref ref-type="bibr" rid="B6">Dubey, 2010</xref>; <xref ref-type="bibr" rid="B19">Zhou et al., 2011</xref>). Immune competent individuals infected with <italic>T. gondii</italic> are generally asymptomatic; however, <italic>T. gondii</italic> infection has been associated with neuropsychiatric disorders suggesting that latent infection may have subtle neurological effects (<xref ref-type="bibr" rid="B8">John et al., 2015</xref>).</p>
<p>Toxoplasmosis has become a notifiable disease in China since the first epidemic survey on <italic>T. gondii</italic> infection in humans was carried out in Guangxi Province in 1978 (<xref ref-type="bibr" rid="B2">Chen et al., 2005</xref>). Previous serological surveys of <italic>T. gondii</italic> infection have focused on people of different occupations, such as slaughterhouse workers, dairy workers, veterinarians, meat-processing workers, cook, and animal breeder, and special groups, such as pregnant women, AIDS and cancer patients, and intravenous drug users (IVDU) in China (<xref ref-type="bibr" rid="B19">Zhou et al., 2011</xref>). However, the infection of <italic>T. gondii</italic> in young students and its potential impact has not been investigated. In this study, the prevalence of <italic>T. gondii</italic> infection and associated risk factors among the newly enrolled 3,569 undergraduates and postgraduate students of Shenyang Agricultural University from all over China was investigated.</p>
</sec>
<sec id="s1" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec><title>Participants</title>
<p>A total of 3,569 whole blood samples of newly enrolled undergraduates and postgraduate students of Shenyang Agricultural University originated from various regions of China were collected in September 2016 to survey the presence of <italic>T. gondii</italic> specific antibodies. The-original regions of the students are mainly located in eastern, southern, central, north, northwest, southwestern, and northeastern regions of China. The age of the newly enrolled students ranged from 15 to 37 years (median 26 years).</p>
</sec>
<sec><title>Ethics Statement</title>
<p>This study was carried out in accordance with the recommendations of the Guidelines for Using Subjects from Humans and Animals, Ethical Committee of Shenyang Agricultural University (Clearance number 2015-CAV-01) with written informed consent from all participants. All subjects gave written informed consent in accordance with the Declaration of Helsinki.</p>
</sec>
<sec><title>Serological Testing</title>
<p>The sera of all participants were tested for the specific IgG to <italic>T. gondii</italic> by the modified agglutination test (MAT) as described by <xref ref-type="bibr" rid="B7">Dubey and Desmonts (1987</xref>) and the <italic>T. gondii</italic> Whole Cell Antigen was purchased from Kerafast, Inc. (Boston, MA, United States). MAT has been regarded as the gold-standard for <italic>T. gondii</italic> infection test. Twofold dilutions of the sera were performed from 1:20 to 1:1,280. The test was regarded positive when a layer of agglutinated parasite antigen was formed in wells at dilutions of 1:20 or higher; positive and negative controls were included in each test. Each serum was tested for three times.</p>
</sec>
<sec><title>Questionnaire</title>
<p>The questionnaire contained information of basic demographic data, including age, gender, education background and residence before university. Possible risk factors, including drinking unboiled water, raw or not well-cooked meat (including lamb, beef, pork, fish, oyster) and raw vegetable consumption, animal contacts (cats or dogs), gardening or agricultural activities, blood transfusion and living in urban areas or countryside.</p>
</sec>
<sec><title>Statistical Analysis</title>
<p>For the statistical analysis, the SPSS 13.0 software package (IBM, Armonk, NY, United States) was used. <italic>P</italic>-values less than 0.05 were considered statistically significant. Logistic regression was used to analyze the association between <italic>T. gondii</italic> infection and potential risk factors. Multivariate logistic analysis was further performed with the full model, including all potential risk factors in the analyses.</p>
</sec>
</sec>
<sec><title>Results</title>
<sec><title>Seroprevalence of <italic>T. gondii</italic> Infection</title>
<p>In the present study, 65 (1.82%) of the 3,569 participants were seropositive for anti-<italic>T. gondii</italic> IgG by MAT, with titers of 1:20 in 35, 1:40 in 20, and 1:80 in 10 participants. The seroprevalence of <italic>T. gondii</italic> infection in postgraduate students (2.46%) was higher than that in undergraduates (1.63%), however, the difference was not statistically significant (<italic>p ></italic> 0.05) (<bold>Tables <xref ref-type="table" rid="T1">1</xref>, <xref ref-type="table" rid="T2">2</xref></bold>). By gender, the anti-<italic>T. gondii</italic> IgG seropositive rates was 1.91% (26/1360) in men and 1.31% (29/2209) in women (<italic>p</italic> = 0.751), respectively (<bold>Tables <xref ref-type="table" rid="T1">1</xref>, <xref ref-type="table" rid="T2">2</xref></bold>).</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Demographic characteristics and seroprevalence of <italic>Toxoplasma gondii</italic> infection in 3,569 participants tested by the modified agglutination test (MAT).</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left" colspan="2">Characteristics</th>
<th valign="top" align="center">Samples</th>
<th valign="top" align="center">No. positive</th>
<th valign="top" align="center">Positive rate (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Region</td>
<td valign="top" align="left">East China</td>
<td valign="top" align="center">335</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.49</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">South China</td>
<td valign="top" align="center">36</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">5.55</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Central China</td>
<td valign="top" align="center">279</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">2.15</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">North China</td>
<td valign="top" align="center">439</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">1.37</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Northwest China</td>
<td valign="top" align="center">152</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">1.97</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Southwest china</td>
<td valign="top" align="center">228</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">6.58</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Northeast China</td>
<td valign="top" align="center">2,076</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">1.34</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Unknown regions</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left">Gender</td>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">1,360</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">1.91</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">2,209</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">1.31</td>
</tr>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="left">16&#x2013;19</td>
<td valign="top" align="center">2,362</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">1.57</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">20&#x2013;25</td>
<td valign="top" align="center">1,122</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">2.22</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">26&#x2013;37</td>
<td valign="top" align="center">85</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">3.52</td></tr>
<tr>
<td valign="top" align="left">Education</td>
<td valign="top" align="left">Undergraduate</td>
<td valign="top" align="center">2,756</td>
<td valign="top" align="center">45</td>
<td valign="top" align="center">1.63</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Postgraduate</td>
<td valign="top" align="center">813</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">2.46</td>
</tr>
<tr>
<td valign="top" align="left">Blood group type</td>
<td valign="top" align="left">A</td>
<td valign="top" align="center">304</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">3.29</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">B</td>
<td valign="top" align="center">398</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">1.01</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">AB</td>
<td valign="top" align="center">155</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.64</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">O</td>
<td valign="top" align="center">437</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">1.83</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Unknown</td>
<td valign="top" align="center">2,275</td>
<td valign="top" align="center">42</td>
<td valign="top" align="center">1.84</td>
</tr>
<tr>
<td valign="top" align="left">Total</td>
<td valign="top" align="left"></td>
<td valign="top" align="center">3,569</td>
<td valign="top" align="center">65</td>
<td valign="top" align="center">1.82</td></tr>
<tr>
<td valign="top" align="left"></td></tr></tbody></table>
</table-wrap>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Univariate analysis of the variables associated with <italic>T. gondii</italic> seroprevalence in participants tested by MAT.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Variable</th>
<th valign="top" align="center">Blood donor No.</th>
<th valign="top" align="center">Seropositivity (%)</th>
<th valign="top" align="center">Odds ratio (95% Confidence internal)</th>
<th valign="top" align="center"><italic>P</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="5">Geographical location</td></tr>
<tr>
<td valign="top" align="left">&#x00A0;&#x00A0;&#x00A0;Unknown</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="center">0.998</td>
</tr>
<tr>
<td valign="top" align="left">&#x00A0;&#x00A0;&#x00A0;North of the Yangtze River</td>
<td valign="top" align="center">3,045</td>
<td valign="top" align="center">1.44</td>
<td valign="top" align="center">0.4 (0.2&#x2013;0.9)</td>
<td valign="top" align="center">0.026<sup>&#x2217;</sup></td>
</tr>
<tr>
<td valign="top" align="left">&#x00A0;&#x00A0;&#x00A0;South of the Yangtze River</td>
<td valign="top" align="center">303</td>
<td valign="top" align="center">4.62</td>
<td valign="top" align="center">1.3 (0.5&#x2013;3.3)</td>
<td valign="top" align="center">0.562</td>
</tr>
<tr>
<td valign="top" align="left">&#x00A0;&#x00A0;&#x00A0;Yangtze River Province</td>
<td valign="top" align="center">197</td>
<td valign="top" align="center">3.55</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Living in rural areas or city</td></tr>
<tr>
<td valign="top" align="left">&#x00A0;&#x00A0;&#x00A0;City</td>
<td valign="top" align="center">2,183</td>
<td valign="top" align="center">1.33</td>
<td valign="top" align="center">0.5 (0.3&#x2013;0.8)</td>
<td valign="top" align="center">0.009<sup>&#x2217;</sup></td>
</tr>
<tr>
<td valign="top" align="left">&#x00A0;&#x00A0;&#x00A0;Rural areas</td>
<td valign="top" align="center">1,386</td>
<td valign="top" align="center">2.59</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Cat in the household</td></tr>
<tr>
<td valign="top" align="left">&#x00A0;&#x00A0;&#x00A0;Yes</td>
<td valign="top" align="center">299</td>
<td valign="top" align="center">1.67</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="center">0.998</td>
</tr>
<tr>
<td valign="top" align="left">&#x00A0;&#x00A0;&#x00A0;No</td>
<td valign="top" align="center">3,270</td>
<td valign="top" align="center">1.83</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Cat in the neighborhood</td></tr>
<tr>
<td valign="top" align="left">&#x00A0;&#x00A0;&#x00A0;Yes</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.9 (0.4&#x2013;2.3)</td>
<td valign="top" align="center">0.841</td>
</tr>
<tr>
<td valign="top" align="left">&#x00A0;&#x00A0;&#x00A0;No</td>
<td valign="top" align="center">3,532</td>
<td valign="top" align="center">1.84</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Keep a dog</td></tr>
<tr>
<td valign="top" align="left">&#x00A0;&#x00A0;&#x00A0;Yes</td>
<td valign="top" align="center">773</td>
<td valign="top" align="center">1.16</td>
<td valign="top" align="center">0.6 (0.3&#x2013;1.2)</td>
<td valign="top" align="center">0.127</td>
</tr>
<tr>
<td valign="top" align="left">&#x00A0;&#x00A0;&#x00A0;No</td>
<td valign="top" align="center">2,796</td>
<td valign="top" align="center">2.01</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Drink unboiled water</td></tr>
<tr>
<td valign="top" align="left">&#x00A0;&#x00A0;&#x00A0;Yes</td>
<td valign="top" align="center">1,340</td>
<td valign="top" align="center">2.46</td>
<td valign="top" align="center">1.7 (1.1&#x2013;2.8)</td>
<td valign="top" align="center">0.028<sup>&#x2217;</sup></td>
</tr>
<tr>
<td valign="top" align="left">&#x00A0;&#x00A0;&#x00A0;No</td>
<td valign="top" align="center">2,229</td>
<td valign="top" align="center">1.43</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Undercooked beef meat/lamb consumption</td></tr>
<tr>
<td valign="top" align="left">&#x00A0;&#x00A0;&#x00A0;Yes</td>
<td valign="top" align="center">240</td>
<td valign="top" align="center">1.25</td>
<td valign="top" align="center">0.7 (0.2&#x2013;2.1)</td>
<td valign="top" align="center">0.496</td>
</tr>
<tr>
<td valign="top" align="left">&#x00A0;&#x00A0;&#x00A0;No</td>
<td valign="top" align="center">3,329</td>
<td valign="top" align="center">1.86</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Undercooked pork meat consumption</td></tr>
<tr>
<td valign="top" align="left">&#x00A0;&#x00A0;&#x00A0;Yes</td>
<td valign="top" align="center">46</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="center">0.998</td></tr>
<tr>
<td valign="top" align="left">&#x00A0;&#x00A0;&#x00A0;No</td>
<td valign="top" align="center">3,523</td>
<td valign="top" align="center">1.85</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Raw fish consumption</td></tr>
<tr>
<td valign="top" align="left">&#x00A0;&#x00A0;&#x00A0;Yes</td>
<td valign="top" align="center">585</td>
<td valign="top" align="center">1.71</td>
<td valign="top" align="center">0.926 (0.5&#x2013;1.8)</td>
<td valign="top" align="center">0.825</td>
</tr>
<tr>
<td valign="top" align="left">&#x00A0;&#x00A0;&#x00A0;No</td>
<td valign="top" align="center">2,984</td>
<td valign="top" align="center">1.84</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Fresh oyster consumption</td></tr>
<tr>
<td valign="top" align="left">&#x00A0;&#x00A0;&#x00A0;Yes</td>
<td valign="top" align="center">544</td>
<td valign="top" align="center">2.21</td>
<td valign="top" align="center">1.3 (0.7&#x2013;2.4)</td>
<td valign="top" align="center">0.467</td>
</tr>
<tr>
<td valign="top" align="left">&#x00A0;&#x00A0;&#x00A0;No</td>
<td valign="top" align="center">3,025</td>
<td valign="top" align="center">1.75</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Undercooked vegetables consumption</td></tr>
<tr>
<td valign="top" align="left">&#x00A0;&#x00A0;&#x00A0;Yes</td>
<td valign="top" align="center">2,198</td>
<td valign="top" align="center">1.55</td>
<td valign="top" align="center">0.7 (0.4&#x2013;1.1)</td>
<td valign="top" align="center">0.123</td>
</tr>
<tr>
<td valign="top" align="left">&#x00A0;&#x00A0;&#x00A0;No</td>
<td valign="top" align="center">1,371</td>
<td valign="top" align="center">2.26</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Gardening or agriculture</td></tr>
<tr>
<td valign="top" align="left">&#x00A0;&#x00A0;&#x00A0;Yes</td>
<td valign="top" align="center">644</td>
<td valign="top" align="center">4.04</td>
<td valign="top" align="center">3.1 (1.9&#x2013;5.2)</td>
<td valign="top" align="center">0.000<sup>&#x2217;</sup></td>
</tr>
<tr>
<td valign="top" align="left">&#x00A0;&#x00A0;&#x00A0;No</td>
<td valign="top" align="center">2,925</td>
<td valign="top" align="center">1.33</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Blood transfusion</td></tr>
<tr>
<td valign="top" align="left">&#x00A0;&#x00A0;&#x00A0;Yes</td>
<td valign="top" align="center">41</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="center">0.998</td>
</tr>
<tr>
<td valign="top" align="left">&#x00A0;&#x00A0;&#x00A0;No</td>
<td valign="top" align="center">3,528</td>
<td valign="top" align="center">1.85</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Blood group type</td></tr>
<tr>
<td valign="top" align="left">&#x00A0;&#x00A0;&#x00A0;Unknown</td>
<td valign="top" align="center">2,275</td>
<td valign="top" align="center">1.84</td>
<td valign="top" align="center">2.9 (0.4&#x2013;21.2)</td>
<td valign="top" align="center">0.295</td>
</tr>
<tr>
<td valign="top" align="left">&#x00A0;&#x00A0;&#x00A0;O</td>
<td valign="top" align="center">437</td>
<td valign="top" align="center">1.83</td>
<td valign="top" align="center">2.9 (0.4&#x2013;23.1)</td>
<td valign="top" align="center">0.322</td>
</tr>
<tr>
<td valign="top" align="left">&#x00A0;&#x00A0;&#x00A0;A</td>
<td valign="top" align="center">304</td>
<td valign="top" align="center">3.29</td>
<td valign="top" align="center">5.2 (0.7&#x2013;41.3)</td>
<td valign="top" align="center">0.116</td>
</tr>
<tr>
<td valign="top" align="left">&#x00A0;&#x00A0;&#x00A0;B</td>
<td valign="top" align="center">398</td>
<td valign="top" align="center">1.01</td>
<td valign="top" align="center">1.6 (0.2&#x2013;14.1)</td>
<td valign="top" align="center">0.690</td>
</tr>
<tr>
<td valign="top" align="left">&#x00A0;&#x00A0;&#x00A0;AB</td>
<td valign="top" align="center">155</td>
<td valign="top" align="center">0.64</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center"></td></tr>
<tr>
<td valign="top" align="left" colspan="5">Gender</td></tr>
<tr>
<td valign="top" align="left">&#x00A0;&#x00A0;&#x00A0;Male</td>
<td valign="top" align="center">1,360</td>
<td valign="top" align="center">1.91</td>
<td valign="top" align="center">1.1 (0.7&#x2013;1.8)</td>
<td valign="top" align="center">0.751</td>
</tr>
<tr>
<td valign="top" align="left">&#x00A0;&#x00A0;&#x00A0;Female</td>
<td valign="top" align="center">2,209</td>
<td valign="top" align="center">1.31</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Education level</td></tr>
<tr>
<td valign="top" align="left">&#x00A0;&#x00A0;&#x00A0;Undergraduate</td>
<td valign="top" align="center">2,756</td>
<td valign="top" align="center">1.63</td>
<td valign="top" align="center">0.7 (0.4&#x2013;1.1)</td>
<td valign="top" align="center">0.124</td>
</tr>
<tr>
<td valign="top" align="left">&#x00A0;&#x00A0;&#x00A0;Postgraduate students</td>
<td valign="top" align="center">813</td>
<td valign="top" align="center">2.46</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center"></td></tr>
<tr>
<td valign="top" align="left"></td></tr></tbody></table>
<table-wrap-foot>
<attrib><sup>&#x2217;</sup><italic>Statistically significant</italic>.</attrib>
</table-wrap-foot>
</table-wrap>
<p>By geographic region, seroprevalence of <italic>T. gondii</italic> infection was 1.49% (5/335) in Eastern China, 5.55% (2/36) in Southern China, 2.15% (6/279) in Central China, 1.37% (6/439) in Northern China, 1.97% (3/152) in Northwest China, 6.58% (15/228) in Southwest China, 1.34% (28/2,076) in Northeast China (<bold>Figure <xref ref-type="fig" rid="F1">1</xref></bold> and <bold>Table <xref ref-type="table" rid="T1">1</xref></bold>). In addition, the seroprevalence of <italic>T. gondii</italic> infection varied in different geographical regions, ranging from 1.44 to 4.62%, with a general tendency of a lower prevalence in the North and higher in the South (<bold>Tables <xref ref-type="table" rid="T2">2</xref>, <xref ref-type="table" rid="T3">3</xref></bold>). Students originated from provinces of Hainan and Chongqing showed the significantly higher infection rates (11.11 and 15.38%, respectively).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Geographical locations where this study was carried out.</p></caption>
<graphic xlink:href="fmicb-08-02092-g001.tif"/>
</fig>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>The seroprevalence of <italic>T. gondii</italic> infection in 3,569 participants from different geographical regions in China.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"></td>
<th valign="top" align="left">Province</th>
<th valign="top" align="center">Samples</th>
<th valign="top" align="center">No. positive</th>
<th valign="top" align="center">Positive rate (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">East China</td>
<td valign="top" align="left">Shandong</td>
<td valign="top" align="center">162</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1.23</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Jiangsu</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Anhui</td>
<td valign="top" align="center">84</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.19</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Zhejiang</td>
<td valign="top" align="center">44</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2.27</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Fujian</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Shanghai</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">6.25</td>
</tr>
<tr>
<td valign="top" align="left">South China</td>
<td valign="top" align="left">Guangdong</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Guangxi</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">3.85</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Hainan</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">11.11</td></tr>
<tr>
<td valign="top" align="left">Central China</td>
<td valign="top" align="left">Hubei</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Hunan</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">4.54</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Henan</td>
<td valign="top" align="center">229</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">2.18</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Jiangxi</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left">North China</td>
<td valign="top" align="left">Beijing</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Tianjin</td>
<td valign="top" align="center">45</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2.22</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Hebei</td>
<td valign="top" align="center">143</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">2.09</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Shanxi</td>
<td valign="top" align="center">117</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1.71</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Inner Mongolia</td>
<td valign="top" align="center">122</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left">Northwest China</td>
<td valign="top" align="left">Ningxia</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Xinjiang</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">3.71</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Qinhai</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Shanxi</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">8.69</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Gansu</td>
<td valign="top" align="center">72</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left">Southwest China</td>
<td valign="top" align="left">Sichuan</td>
<td valign="top" align="center">36</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">8.33</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Yunnan</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">5.56</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Guizhou</td>
<td valign="top" align="center">161</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">5.59</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Chongqing</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">15.38</td>
</tr>
<tr>
<td valign="top" align="left">Northeast China</td>
<td valign="top" align="left">Liaoning</td>
<td valign="top" align="center">1,901</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">1.42</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Jilin</td>
<td valign="top" align="center">77</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.29</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Heilongjiang</td>
<td valign="top" align="center">98</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Unknown regions</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Total</td>
<td valign="top" align="center">3,569</td>
<td valign="top" align="center">65</td>
<td valign="top" align="center">1.82</td></tr>
<tr>
<td valign="top" align="left"></td></tr>
</tbody>
</table>
</table-wrap>
<p>The participants were also allocated to 3 age groups: 16- to 19-years-old, 20- to 25-years-old, and 26- to 37-years-old. The seroprevalence of <italic>T. gondii</italic> infection varied in different age groups, ranging from 1.57 to 3.52%, with a general tendency for older participants to have a higher prevalence, compared with younger participants (<bold>Table <xref ref-type="table" rid="T1">1</xref></bold>).</p>
</sec>
<sec><title>Risk Factors for <italic>T. gondii</italic> Infection</title>
<p>In the univariate analysis, four variables were found to be associated with anti<italic>-T. gondii</italic> IgG positivity, including geographical location, living in rural areas, gardening or agriculture, and drinking unboiled water (<bold>Table <xref ref-type="table" rid="T2">2</xref></bold>). Further analysis using multivariate logistic regression revealed that gardening or agriculture was independent risk factor for <italic>T. gondii</italic> seropositivity (<bold>Table <xref ref-type="table" rid="T4">4</xref></bold>).</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Multivariate logistic regression with full model for risk factors of <italic>T. gondii</italic> infection.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Variable</th>
<th valign="top" align="center">Odds ratio (95% Confidence internal)</th>
<th valign="top" align="center"><italic>P</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Geographical position (unknown vs. Yangtze River Province)</td>
<td valign="top" align="center">0.0</td>
<td valign="top" align="center">0.998</td>
</tr>
<tr>
<td valign="top" align="left">Geographical position (North of the Yangtze River vs. Yangtze River Province)</td>
<td valign="top" align="center">0.4 (0.2&#x2013;1.0)</td>
<td valign="top" align="center">0.050</td>
</tr>
<tr>
<td valign="top" align="left">Geographical position (South of the Yangtze River vs. Yangtze River Province)</td>
<td valign="top" align="center">1.2 (0.4&#x2013;3.0)</td>
<td valign="top" align="center">0.748</td>
</tr>
<tr>
<td valign="top" align="left">Living in rural areas or city</td>
<td valign="top" align="center">0.8 (0.4&#x2013;1.6)</td>
<td valign="top" align="center">0.620</td>
</tr>
<tr>
<td valign="top" align="left">Cat in the household</td>
<td valign="top" align="center">0.0</td>
<td valign="top" align="center">0.998</td>
</tr>
<tr>
<td valign="top" align="left">Cat in the neighborhood</td>
<td valign="top" align="center">0.8 (0.3&#x2013;2.2)</td>
<td valign="top" align="center">0.728</td>
</tr>
<tr>
<td valign="top" align="left">Keep a dog</td>
<td valign="top" align="center">0.4 (0.2&#x2013;0.9)</td>
<td valign="top" align="center">0.021</td>
</tr>
<tr>
<td valign="top" align="left">Drinking unboiled water</td>
<td valign="top" align="center">1.6 (0.9&#x2013;2.8)</td>
<td valign="top" align="center">0.084</td>
</tr>
<tr>
<td valign="top" align="left">Undercooked beef meat/lamb consumption</td>
<td valign="top" align="center">0.9 (0.3&#x2013;3.2)</td>
<td valign="top" align="center">0.889</td>
</tr>
<tr>
<td valign="top" align="left">Undercooked pork meat consumption</td>
<td valign="top" align="center">0.0</td>
<td valign="top" align="center">0.998</td>
</tr>
<tr>
<td valign="top" align="left">Raw fish consumption</td>
<td valign="top" align="center">1.1 (0.5&#x2013;2.6)</td>
<td valign="top" align="center">0.845</td>
</tr>
<tr>
<td valign="top" align="left">Fresh oyster consumption</td>
<td valign="top" align="center">2.0 (0.9&#x2013;4.4)</td>
<td valign="top" align="center">0.087</td>
</tr>
<tr>
<td valign="top" align="left">Undercooked vegetables consumption</td>
<td valign="top" align="center">0.7 (0.4&#x2013;1.2)</td>
<td valign="top" align="center">0.173</td>
</tr>
<tr>
<td valign="top" align="left">Gardening or agriculture</td>
<td valign="top" align="center">3.0 (1.5&#x2013;5.7)</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">Blood transfusion</td>
<td valign="top" align="center">0.0</td>
<td valign="top" align="center">0.998</td>
</tr>
<tr>
<td valign="top" align="left">Blood group type (Unknown vs. AB)</td>
<td valign="top" align="center">2.4 (0.3&#x2013;17.5)</td>
<td valign="top" align="center">0.403</td>
</tr>
<tr>
<td valign="top" align="left">Blood group type (O vs. AB)</td>
<td valign="top" align="center">2.8 (0.3&#x2013;22.9)</td>
<td valign="top" align="center">0.334</td>
</tr>
<tr>
<td valign="top" align="left">Blood group type (A vs. AB)</td>
<td valign="top" align="center">4.7 (0.6&#x2013;37.8)</td>
<td valign="top" align="center">0.143</td>
</tr>
<tr>
<td valign="top" align="left">Blood group type (B vs. AB)</td>
<td valign="top" align="center">1.5 (0.2&#x2013;13.3)</td>
<td valign="top" align="center">0.740</td>
</tr>
<tr>
<td valign="top" align="left">Gender</td>
<td valign="top" align="center">0.8 (0.5&#x2013;1.4)</td>
<td valign="top" align="center">0.522</td>
</tr>
<tr>
<td valign="top" align="left">Education level</td>
<td valign="top" align="center">0.6 (0.3&#x2013;1.0)</td>
<td valign="top" align="center">0.058</td></tr>
<tr>
<td valign="top" align="left"></td></tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec><title>Discussion</title>
<p>In this study, <italic>T. gondii</italic> infection among newly enrolled undergraduates and postgraduate students were systematically investigated. The overall prevalence of <italic>T. gondii</italic> antibodies among these participants was 1.82% (65/3,569); the infection rates of the students coming from eastern, southern, central, north, northwest, southwestern and northeastern regions of China are 1.49, 5.55, 2.15, 1.37, 1.97, 6.58, and 1.34%, respectively. These results indicated that <italic>T. gondii</italic> infection occurred earlier in students in all geographical regions in China, but at lower infection rate than that of total population reported earlier (<xref ref-type="bibr" rid="B16">Xiao et al., 2010</xref>; <xref ref-type="bibr" rid="B3">Chiang et al., 2012</xref>; <xref ref-type="bibr" rid="B17">Yang et al., 2013</xref>). The differences between the current study and the previous reports were likely due to the study population. Studies earlier focused predominantly on adult groups with different professions and disease exposures or co-infection (<xref ref-type="bibr" rid="B19">Zhou et al., 2011</xref>). Here, we only focused young students before university. It was reported that the seroprevalence of <italic>T. gondii</italic> infection in students was 3.2% in S&#x00E3;o Paulo State University (UNESP), in Assis, S&#x00E3;o Paulo state, Brazil (<xref ref-type="bibr" rid="B14">Rodrigues et al., 2015</xref>), which was higher than the infection rate in this study. Moreover, the seroprevalence of <italic>T. gondii</italic> infection varied in different geographical areas with a general tendency of lower infection rate in the Northern region of Yangtze River (1.44%) and higher infection rate in the Southern region of Yangtze River (4.62%) (<bold>Table <xref ref-type="table" rid="T1">1</xref></bold>). However, the infection rates in Hainan, Sichuan and Chongqing are the highest (<bold>Table <xref ref-type="table" rid="T3">3</xref></bold>). The causes for these variations in infection rates in the areas are not yet known. Environmental conditions and regional climate may determine the degree of natural distribution of <italic>T. gondii</italic> infection. It has been reported that infection is more prevalent in warm climates and high rain fall areas than in cold climates and dry areas (<xref ref-type="bibr" rid="B6">Dubey, 2010</xref>). For the three provinces with the highest infection rates, the habit of food consumption may be the main reason. People in Hainan Province consume more sea food than other areas and instant-boiling meat is very popular in Chongqing and Sichuan areas. Further, environmental conditions favoring sporulation and survival of oocysts may be another reason for the high prevalence in these regions. Rainfalls in Southern China are much heavier than that in the North, which facilitate and oocysts survived outdoors in soil will be brought to the surface and spread to other places to expand the scope of <italic>T. gondii</italic> infection. In addition, it is likely that oocysts are easily carried into homes on shoes in rainy and humid conditions (<xref ref-type="bibr" rid="B10">Kniel et al., 2002</xref>; <xref ref-type="bibr" rid="B6">Dubey, 2010</xref>). Moreover, drying under low humidity in the North of the Yangtze River were deleterious to oocysts (<xref ref-type="bibr" rid="B6">Dubey, 2010</xref>).</p>
<p>In this study, drinking unboiled water is found to be a significant risk factor for <italic>T. gondii</italic> seropositivity among these participants (<italic>p</italic> = 0.028, adjusted OR = 3.1, CI: 1.9&#x2013;5.2) (<bold>Table <xref ref-type="table" rid="T2">2</xref></bold>). This result indicated that contamination of drinking water by <italic>T. gondii</italic> are common, and drinking boiled water is a way of avoiding <italic>T. gondii</italic> infection in China. The result also speaks for the importance of the surveillance of water hygiene.</p>
<p>Among the participants in this study, both living in rural areas and gardening or agriculture are also significant risk factors for <italic>T. gondii</italic> infection, which was similar to the previous study (<xref ref-type="bibr" rid="B12">Mahmoudvand et al., 2015</xref>). The prevalence of <italic>T. gondii</italic> seropositivity was significantly higher in the participants living in rural areas (2.59%) than those living in cities (1.33%) (<italic>p</italic> = 0.009; adjusted OR = 0.5; 95% CI: 0.3&#x2013;0.8) (<bold>Table <xref ref-type="table" rid="T2">2</xref></bold>). Individuals with frequent gardening and farming activities are more easily exposure to <italic>T. gondii</italic> (<italic>p</italic> = 0.000; adjusted OR = 3.1; 95% CI: 1.9&#x2013;5.2) (<bold>Table <xref ref-type="table" rid="T2">2</xref></bold>), which were independent risk factors for <italic>T. gondii</italic> seropositivity by multivariate logistic regression analysis (<italic>p</italic> = 0.001; adjusted OR = 3.0; 95% CI: 1.5&#x2013;5.7) (<bold>Table <xref ref-type="table" rid="T4">4</xref></bold>). These results indicated that people living in rural areas or farming had more chance to contact with oocysts shed in the feces of infected cats. The finding that <italic>T. gondii</italic> infection rate of ranging chicken was much higher than that of caged chicken also support our data (<xref ref-type="bibr" rid="B16">Xiao et al., 2010</xref>).</p>
<p>Moreover, we found that fresh oyster consumption was another potential risk factor for <italic>T. gondii</italic> infection though the difference was not statistically significant (<bold>Tables <xref ref-type="table" rid="T2">2</xref>, <xref ref-type="table" rid="T4">4</xref></bold>), which was similar to the study from the United States (<xref ref-type="bibr" rid="B9">Jones et al., 2009</xref>). It was reported that <italic>T. gondii</italic> oocysts could be washed into the sea via runoff (<xref ref-type="bibr" rid="B11">Lindsay et al., 2003</xref>; <xref ref-type="bibr" rid="B5">Dubey, 2004</xref>), and oysters, clams, and mussels could ingest oocysts directly from seawater (<xref ref-type="bibr" rid="B11">Lindsay et al., 2003</xref>; <xref ref-type="bibr" rid="B5">Dubey, 2004</xref>, <xref ref-type="bibr" rid="B6">2010</xref>). In China, fresh oyster has become more popular in recent years, this may explain the higher infection rate in the participants originated from Hainan Province.</p>
<p>In this study, the seroprevalence of <italic>T. gondii</italic> infection showed a general tendency with aging. Meanwhile, seroprevalence of <italic>T. gondii</italic> infection in postgraduate students (2.46%) (&#x2265;22-years-old) was higher than that in undergraduates (1.63%) (&#x2264;21-years-old). These results suggested that older participants may have more chance of <italic>T. gondii</italic> infection, though there was no statistical significance between the two groups. This is in agreement with other reports (<xref ref-type="bibr" rid="B1">Agmas et al., 2015</xref>; <xref ref-type="bibr" rid="B4">Cong et al., 2015</xref>). In addition, the anti-<italic>T. gondii</italic> IgG-seropositive rates was 1.91% (26/1,360) and 1.31% (29/2,209) in men and women (<italic>p</italic> = 0.751), respectively, contrary to the previous report (<xref ref-type="bibr" rid="B18">Zemene et al., 2012</xref>). This might be due to the living conditions which are very different between the countries.</p>
<p>Cats are the main definite host of <italic>T. gondii</italic>, and oocysts are shed from infected cat feces constantly, which are a major source of <italic>T. gondii</italic> infection in humans (<xref ref-type="bibr" rid="B6">Dubey, 2010</xref>). Contact with cats is consistently demonstrated to be a risk factor in prior seroepidemiologic studies (<xref ref-type="bibr" rid="B3">Chiang et al., 2012</xref>; <xref ref-type="bibr" rid="B18">Zemene et al., 2012</xref>; <xref ref-type="bibr" rid="B1">Agmas et al., 2015</xref>; <xref ref-type="bibr" rid="B4">Cong et al., 2015</xref>; <xref ref-type="bibr" rid="B14">Rodrigues et al., 2015</xref>). However, this study did not show any association between <italic>T. gondii</italic> infection with keeping cats (<italic>p</italic>>0.5). According to the questionnaire survey, although these students once had cats, they rarely contacted with the cats because of perennial learning in school.</p>
</sec>
<sec><title>Conclusion</title>
<p>This study has shown that the general infection rate of <italic>T. gondii</italic> among the newly enrolled undergraduates and postgraduate students in China was 1.82% which is much lower than that obtained from the total population. Four variables were found to be associated with <italic>T. gondii</italic> infection, including geographical location, living in rural areas, gardening or agriculture, and drinking unboiled water by the univariate logistic regression, and only gardening or agriculture was the independent risk factor for <italic>T. gondii</italic> seropositivity by using multivariate logistic regression in this study.</p>
</sec>
<sec><title>Author Contributions</title>
<p>NY and QC conceived and designed the study. NY, DW, MX, CL, JL, and AW performed the study. XS, YF, and NJ helped to collected the samples. NY and QC wrote the manuscript.</p>
</sec>
<sec><title>Conflict of Interest Statement</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>
</body>
<back>
<fn-group>
<fn fn-type="financial-disclosure">
<p><bold>Funding.</bold> This work was supported by the National Key R&#x0026;D Program of China [2017YFD0500400], the National Natural Science Foundation of China [grant no. NSFC 31201894, 31672546], China Postdoctoral Science Foundation [grant no. 2014M561252], and Tianzhu mountain talent program of Shenyang Agricultural University.</p>
</fn>
</fn-group>
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