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<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.2021.648059</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Psychology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Stigmatizing Attitudes Toward Depression Among Male and Female, Medical and Non-medical Major College Students</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>He</surname>
<given-names>Haoyu</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1044966/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wu</surname>
<given-names>Qiuxia</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hao</surname>
<given-names>Yuzhu</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Shubao</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Liu</surname>
<given-names>Tieqiao</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<xref rid="c001" ref-type="corresp"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/527391/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Liao</surname>
<given-names>Yanhui</given-names>
</name>
<xref rid="aff3" ref-type="aff"><sup>3</sup></xref>
<xref rid="c002" ref-type="corresp"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/888325/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Psychiatry, The Second Xiangya Hospital, Central South University</institution>, <addr-line>Changsha</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>National Clinical Research Center for Mental Disorders</institution>, <addr-line>Changsha</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Psychiatry, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University</institution>, <addr-line>Hangzhou</addr-line>, <country>China</country></aff>
<author-notes>
<fn id="fn1" fn-type="edited-by"><p>Edited by: Wenhai Zhang, Hengyang Normal University, China</p></fn>
<fn id="fn2" fn-type="edited-by"><p>Reviewed by: Hua Xu, Shanghai Jiao Tong University, China; Manyu Li, University of Louisiana at Lafayette, United States; Huirong Zheng, Guangdong Provincial People&#x2019;s Hospital, China; Xiu-Jun Liu, Wuhan Mental Health Center, China</p></fn>
<corresp id="c001">&#x002A;Correspondence: Tieqiao Liu, <email>liutieqiao123@csu.edu.cn</email></corresp>
<corresp id="c002">Yanhui Liao, <email>liaoyanhui@zju.edu.cn</email></corresp>
<fn id="fn3" fn-type="other"><p>This article was submitted to Emotion Science, a section of the journal Frontiers in Psychology</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>25</day>
<month>06</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>648059</elocation-id>
<history>
<date date-type="received">
<day>31</day>
<month>12</month>
<year>2020</year>
</date>
<date date-type="accepted">
<day>03</day>
<month>06</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2021 He, Wu, Hao, Chen, Liu and Liao.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>He, Wu, Hao, Chen, Liu and Liao</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>
<p><bold>Background</bold>: Stigma is often reported to be a barrier to the treatment and rehabilitation of depression. However, little is known about stigma toward people with depression among college students in China.</p>
<p><bold>Methods</bold>: Using a questionnaire with a case vignette describing depression, a total of 1,056 students from nine colleges/universities in Hunan Province of China were included in this study. The questionnaire addressed the attitudes toward depression and the desire for keeping a distance from depressed individuals. The current study explored the stigma attitudes of college students toward people with depression and the desire for social distancing, as well as the gender (male and female) and major (medical and non-medical) differences.</p>
<p><bold>Results</bold>: Over half of the respondents agreed that people described in the vignette were &#x201C;dangerous&#x201D; (60.7%) and &#x201C;could snap out of the problem&#x201D; (58.7%). Compared with female students, males were more likely to agree that &#x201C;If I had this problem, I would not tell anyone&#x201D; (7.0 vs. 13.2%, <italic>p</italic> = 0.001); compared with non-medical students, medical students were more likely to agree that &#x201C;The problem is a sign of personal weakness&#x201D; (38.0 vs. 50.0%, <italic>p</italic> &#x003C; 0.001). A lot of respondents would be unwilling to &#x201C;marry into the family of people with depression&#x201D; (71.1%) or &#x201C;work closely with them&#x201D; (45.1%). Compared with male students, females were more unwilling to &#x201C;work closely with them&#x201D; (40.3 vs. 47.5%, <italic>p</italic> = 0.026).</p>
<p><bold>Conclusion</bold>: This study found that a high proportion of Chinese college students showed stigma toward and desire for social distancing from people with depression, male students and medical major students showed higher stigma in some subscale items toward people with depression. The present results suggest that more anti-stigma interventions should be applied for Chinese college students to help prevent or reduce stigma attitudes toward people with depression.</p>
</abstract>
<kwd-group>
<kwd>depression</kwd>
<kwd>stigma</kwd>
<kwd>social distance</kwd>
<kwd>college students</kwd>
<kwd>gender differences</kwd>
<kwd>medical and non-medical students</kwd>
</kwd-group>
<contract-num rid="cn1">2017YFC1310400</contract-num>
<contract-num rid="cn2">81671324</contract-num>
<contract-num rid="cn2">81371465</contract-num>
<contract-sponsor id="cn1">National Key R&#x0026;D Program of China</contract-sponsor>
<contract-sponsor id="cn2">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content>
</contract-sponsor>
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<ref-count count="48"/>
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</front>
<body>
<sec id="sec1" sec-type="intro">
<title>Introduction</title>
<p>Depression (major depressive disorder or clinical depression), a leading cause of disability worldwide, is one of the most prevalent mental health disorders that affects more than 300 million people worldwide (<xref ref-type="bibr" rid="ref35">Marcus et al., 2012</xref>). The prevalence of 12-month depression (weighted) in the general Chinese population was 3.6% (<xref ref-type="bibr" rid="ref24">Huang et al., 2019</xref>), and the overall prevalence of depression among Chinese university and college students was 23.8% (<xref ref-type="bibr" rid="ref31">Lei et al., 2016</xref>). Depression in university students negatively affects psychological and physical health, such as sleep disturbances (<xref ref-type="bibr" rid="ref12">Eller et al., 2006</xref>), academic struggles (<xref ref-type="bibr" rid="ref2">Abu Ruz et al., 2018</xref>), self-injury and suicidal thoughts (<xref ref-type="bibr" rid="ref6">Bayram and Bilgel, 2008</xref>), smartphone addiction (<xref ref-type="bibr" rid="ref36">Matar Boumosleh and Jaalouk, 2017</xref>), and heavy episodic drinking (<xref ref-type="bibr" rid="ref37">Mushquash et al., 2013</xref>). Furthermore, youth depression is a major risk factor for suicide (<xref ref-type="bibr" rid="ref34">Majeed and Lee, 2017</xref>). University students experience depression at a significantly higher rate than the general population, and also higher than their non-college contemporaries (<xref ref-type="bibr" rid="ref6">Bayram and Bilgel, 2008</xref>; <xref ref-type="bibr" rid="ref31">Lei et al., 2016</xref>; <xref ref-type="bibr" rid="ref16">Gao et al., 2020</xref>). However, negative attitudes and beliefs (stigma) toward people with depression are common. For example, a community-based sample study in China showed that 53.0% participants reported personal stigma, and 83.4% reported perceived stigma (<xref ref-type="bibr" rid="ref45">Yang et al., 2020</xref>); a survey in Japan reported that 30.7% of the participants thought that a weak personality causes depression (<xref ref-type="bibr" rid="ref46">Yokoya et al., 2018</xref>).</p>
<p>Stigma refers to the process of distinguishing and labeling individuals with certain socially undesirable characteristics that are different from the norms of society (<xref ref-type="bibr" rid="ref18">Goffman, 2009</xref>). Stigma toward mental illness (such as depression) is usually associated with violence, crime, abnormality, or general dangerousness, which results in factual separation of stigmatized individuals through loss of status, economic, and political power (<xref ref-type="bibr" rid="ref3">Anderson et al., 2015</xref>). University students are in a critical developmental period during which they are separated from family, develop new social connections, increase their autonomy and responsibility, and create more self-awareness and control (<xref ref-type="bibr" rid="ref10">Duffy et al., 2019</xref>). Moreover, well-educated university students are important resources for the development of science, technology, and economic construction in the country. Their attitude and view toward depression may generate profound and long-term effects on themselves and to the society as a whole. A research found that depressed university students are more sensitive toward stigma from classmates, schoolmates, teachers, and caregivers (<xref ref-type="bibr" rid="ref9">Cheng et al., 2013</xref>). Under the negative influence of stigma, they might worry that their depression is prone to be revealed by mental health service utilization (<xref ref-type="bibr" rid="ref20">Guille et al., 2010</xref>). Moreover, there were higher levels of stigma among university students regarding mental health treatment, and only a minority of depressed young students sought professional help for treatment (<xref ref-type="bibr" rid="ref11">Eisenberg et al., 2009</xref>; <xref ref-type="bibr" rid="ref25">Ibrahim et al., 2019</xref>). However, the more they fear stigma (perceived public stigma and personal stigma), the more resistant they are to seek professional assistance voluntarily, and the worse their depression becomes, which forms a vicious circle (<xref ref-type="bibr" rid="ref30">Lauber and R&#x00F6;ssler, 2007</xref>). Stigma is also considered an obstacle for the public to obtain an objective understanding, and as a rational attitude toward depressed university students, accelerating the formation of this vicious circle.</p>
<p>College- and university-level stigma is not only negatively associated with self-reported of suicidal thoughts and self-injury, but also negatively associated with medication utilization, clinic visits, and informal support (<xref ref-type="bibr" rid="ref14">Gaddis et al., 2018</xref>). Stigma attitudes toward depression even prevalent among medical students (<xref ref-type="bibr" rid="ref9">Cheng et al., 2013</xref>). However, young people with medical background were more unwilling to seek mental health treatment (<xref ref-type="bibr" rid="ref20">Guille et al., 2010</xref>). A survey of 194 medical students from the School of Medicine at the University of California, San Francisco, reported that only 22% depressed students were willing to receive mental health counseling services (<xref ref-type="bibr" rid="ref17">Givens and Tjia, 2002</xref>). Moreover, the stigmatization from medical students affected patients with depression in the quality of care offered to patients and caused self-stigmatization and other related consequences (<xref ref-type="bibr" rid="ref42">Suwalska et al., 2016</xref>). Exploring the misunderstanding and stigma toward depressed youth among medical and non-medical students can provide insights to overcome these barriers and improve this underserved population&#x2019;s mental health.</p>
<p>The aim of this study was to explore college/university students&#x2019; stigma attitudes toward people with depression and the desire for social distancing, as well as the gender (male and female) and major (medical and non-medical) differences. Considering the high level of stigma attitudes toward depression in Chinese community (<xref ref-type="bibr" rid="ref45">Yang et al., 2020</xref>), and the majority of medical youth unwilling to seek professional help (<xref ref-type="bibr" rid="ref20">Guille et al., 2010</xref>; <xref ref-type="bibr" rid="ref14">Gaddis et al., 2018</xref>), this study hypothesized that (i) stigma attitudes toward depression is prevalent among college/university students; (ii) compared with the non-medical counterparts, medical students show higher level of stigma attitudes toward depression; (iii) male students show greater preferred social distancing than female students toward people with social anxiety disorder (<xref ref-type="bibr" rid="ref3">Anderson et al., 2015</xref>); and (iv) men showed more stigmatization than women for depression and other mental illness (<xref ref-type="bibr" rid="ref29">Korszun et al., 2012</xref>). However, the gender difference in stigma toward depression is largely unknown among university students. Thus, it is also hypothesized that male students keep more stigma attitudes toward depression than females. We assessed the gender and medical and non-medical major differences in college students&#x2019; stigma attitudes toward depression and the desire for social distancing.</p>
</sec>
<sec id="sec2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="sec3">
<title>Procedures</title>
<p>The protocol was approved by the ethics committee of the Second Xiangya Hospital of Central South University (No. S095, 2013). The convenience sampling method was used in the present study. Considering the representativeness of the sample, this study randomly selected different classes by school, grade, and major. Nine colleges/universities in Hunan (a province in southern China) with different school levels and majors were selected. The aim of the present study was explained in the questionnaires, and oral informed consent was obtained from all the respondents. They were encouraged to independently analyze the vignette and answer a battery of questions, including demographic information, depression stigma scale (DSS), and social distance scale (SDS).</p>
</sec>
<sec id="sec4">
<title>Sample</title>
<p>Data were collected from nine colleges/universities in Hunan Province of China from September 2014 to January 2015, including three national key universities (Project 985 and 211): Central South University, Hunan University, and Hunan Normal University; four ordinary universities: Hunan University of Chinese Medicine, Central South University of Forestry and Technology, Hunan University of Technology and Business, and Changsha Medical University; and two 3-year colleges: Changsha Society Work College and Hunan College of Information. NCSS_PASS 2011 software<xref rid="fn0001" ref-type="fn"><sup>1</sup></xref> was used to calculate the sample size. According to our previous studies (<xref ref-type="bibr" rid="ref43">Wu et al., 2017</xref>; <xref ref-type="bibr" rid="ref21">Hao et al., 2020</xref>), the required sample size in the current study was 1,220 participants. The sample size was calculated as the proportion of the stigma to 50%, at the 95% confidence level with a 6% CI width (3% marginal error) and a 10% non-response rate. A total of 1,224 participants (136 students in each school) were invited to complete the face-to-face paper and pencil-based questionnaires independently.</p>
</sec>
<sec id="sec5">
<title>Measurements in the Survey Questionnaires</title>
<p>The questionnaires consisted of four parts: the first part was a brief introduction to the study, including the research sponsor, purpose, method, and significance; the second part was a range of questions about demographic data; the third part was a vignette describing a person with symptoms of depression &#x2013; these symptoms were appropriately locally adapted from the questionnaire developed by <xref ref-type="bibr" rid="ref26">Jorm et al. (1997)</xref>, and met with the diagnostic criteria in Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV), and the International Classification of Diseases, Tenth Revision (ICD-10); and the last part included scales of depression stigma and social distance based on the context of the vignette, including DSS and SDS.</p>
<sec id="sec6">
<title>Depression Stigma Scale</title>
<p>The DSS contains personal stigma subscales (nine items) and perceived stigma subscales (nine items). The statements in each item of the two subscales are the same with the exception of the subject of items. In the personal stigma subscales, respondents were asked their own attitude toward people with depression symptoms described in the vignette (e.g., &#x201C;People with depression could snap out of it if they wanted&#x201D;). In the perceived stigma subscales, respondents were asked their beliefs about most of the other people&#x2019;s attitudes toward people with depression symptoms described in the vignette (e.g., &#x201C;Most people believe that people with depression could snap out of it if they wanted&#x201D;). The response of each item was measured on a five-point scale ranging from &#x201C;strongly agree&#x201D; to &#x201C;strongly disagree&#x201D; (<xref ref-type="bibr" rid="ref19">Griffiths et al., 2004</xref>). The Chinese version of the scale has been widely used with good reliability and validity (<xref ref-type="bibr" rid="ref47">Zhu et al., 2019</xref>; <xref ref-type="bibr" rid="ref45">Yang et al., 2020</xref>).</p>
</sec>
<sec id="sec7">
<title>Social Distance Scale</title>
<p>The five-item short measurement of SDS was developed by <xref ref-type="bibr" rid="ref33">Link et al. (1999)</xref> to measure the desire for social distancing from the person with mental illness. The Chinese version of the SDS was used to estimate the willingness to come into contact (such as live next door, marry into family) with the person described in the vignette. The response of each item was measured on a four-point scale, which ranged from &#x201C;definitely willing&#x201D; to &#x201C;definitely unwilling.&#x201D; The reliability and validity of its Chinese version has been tested, and the results showed that all the indicators met the requirements of psychometrics (<xref ref-type="bibr" rid="ref22">Haoyu et al., 2020</xref>).</p>
</sec>
</sec>
<sec id="sec8">
<title>Statistical Analysis</title>
<p>All data were analyzed by SPSS 22 (IBM SPSS, Armonk, NY, United States) and Excel. Descriptive statistics were applied for demographic data (percentage), stigma attitudes toward people with depression (percentage frequencies and 95% CI) and social distance (percentage frequencies and 95% CI). The options of &#x201C;agree&#x201D; and &#x201C;strongly agree&#x201D; were combined into one option on the DSS, and the options of &#x201C;definitely unwilling&#x201D; and &#x201C;probably unwilling&#x201D; were combined into one option on the SDS. The combined options represent the positive and negative attitudes of the respondents. Pearson&#x2019;s Chi-square test was used to assess the significant difference in each item on the DSS and SDS among different demographic variables (gender, major, educational level, and school level) in the proportion of agreement. Multiple linear regression analysis was applied to explore any stigma or social distance&#x2013;associated factors, including education level (1 = graduate students, 2 = postgraduate students); major (1 = non-medicine, 2 = medicine); school level (1 = national key university, 2 = ordinary universities, and 3-year college); age and gender (1 = male, 2 = female). The value of <italic>p</italic> was set at &#x003C;0.05 for statistical significance.</p>
</sec>
</sec>
<sec id="sec9" sec-type="results">
<title>Results</title>
<p>A total of 1,056 (the response rate: 86.3%) qualified questionnaires were included in the final analysis from 1,224 distributed questionnaires. Demographic characteristics are shown in <xref rid="tab1" ref-type="table">Table 1</xref>. The average age of the respondents was 21.05 &#x00B1; 2.54 (mean &#x00B1; SD). The ratio of gender (male 33.62%: female 66.38%) was approximately 1:2, which may be resulted from the imbalance in gender ratio in many Chinese colleges and universities (<xref ref-type="bibr" rid="ref41">Schwenk et al., 2010</xref>). In order to explore the stigma attitudes toward depression between medical and non-medical students, the respondents from nine majors were classified into non-medicine (71.2%) and medicine (28.8%) majors.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption><p>Demographic characteristics of participants.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle" rowspan="2">Participant characteristics</th>
<th align="center" valign="top" colspan="2"><italic>N</italic> = 1,056</th>
</tr>
<tr>
<th align="center" valign="top"><italic>n</italic></th>
<th align="center" valign="top">%</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" colspan="3">Gender</td>
</tr>
<tr>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">355</td>
<td align="left" valign="middle">33.62</td>
</tr>
<tr>
<td align="left" valign="middle">Female</td>
<td align="center" valign="middle">701</td>
<td align="left" valign="middle">66.38</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="3">Marital status</td>
</tr>
<tr>
<td align="left" valign="middle">Married</td>
<td align="center" valign="middle">27</td>
<td align="left" valign="middle">2.56</td>
</tr>
<tr>
<td align="left" valign="middle">Unmarried</td>
<td align="center" valign="middle">1,029</td>
<td align="left" valign="middle">97.44</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="3">Major</td>
</tr>
<tr>
<td align="left" valign="middle">Non-medicine</td>
<td align="center" valign="middle">752</td>
<td align="left" valign="middle">71.21</td>
</tr>
<tr>
<td align="left" valign="middle">Medicine</td>
<td align="center" valign="middle">304</td>
<td align="left" valign="middle">28.79</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="3">Educational level</td>
</tr>
<tr>
<td align="left" valign="middle">Graduate students</td>
<td align="center" valign="middle">888</td>
<td align="left" valign="middle">83.91</td>
</tr>
<tr>
<td align="left" valign="middle">Postgraduate students</td>
<td align="center" valign="middle">168</td>
<td align="left" valign="middle">16.91</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="3">University level</td>
</tr>
<tr>
<td align="left" valign="middle">National key university</td>
<td align="center" valign="middle">463</td>
<td align="left" valign="middle">43.84</td>
</tr>
<tr>
<td align="left" valign="middle">Ordinary universities</td>
<td align="center" valign="middle">402</td>
<td align="left" valign="middle">38.07</td>
</tr>
<tr>
<td align="left" valign="middle">Three-year college</td>
<td align="center" valign="middle">191</td>
<td align="left" valign="middle">18.09</td>
</tr>
</tbody>
</table>
</table-wrap>
<sec id="sec10">
<title>Stigma</title>
<p>The gender differences and medical and non-medical major differences in the percentage of participants who held stigma attitudes toward the person with depression in the vignette are shown in <xref rid="tab2" ref-type="table">Table 2</xref>. Over half of the respondents agreed that people described in the vignette were &#x201C;dangerous&#x201D; (60.7%) and &#x201C;could snap out of the problem&#x201D; (58.7%). Compared with female students, males were more likely to agree that &#x201C;If I had this problem, I would not tell anyone&#x201D; (7.0 vs. 13.2%, <italic>p</italic> = 0.001); compared with non-medical students, medical students were more likely to agree that &#x201C;Problem is a sign of personal weakness&#x201D; (38.0 vs. 50.0%, <italic>p</italic> &#x003C; 0.001).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Percentage of participants who &#x201C;agree&#x201D; or &#x201C;strongly agree&#x201D; with statements about their attitudes toward the person in the vignette.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle" rowspan="3">Statement about personal belief (DSS)</th>
<th align="center" valign="top" colspan="2">Total (<italic>N</italic> = 1,056)</th>
<th align="center" valign="top" colspan="5">Gender</th>
<th align="center" valign="top" colspan="5">Major</th>
</tr>
<tr>
<th align="center" valign="top" rowspan="2"><italic>n</italic></th>
<th align="center" valign="top" rowspan="2">%</th>
<th align="center" valign="top" colspan="2">Male (<italic>n</italic> = 355)</th>
<th align="center" valign="top" colspan="2">Female (<italic>n</italic> = 701)</th>
<th align="center" valign="top" rowspan="2"><italic>p</italic> <xref rid="tfn1" ref-type="table-fn"><sup>&#x002A;</sup></xref></th>
<th align="center" valign="top" colspan="2">Non-medical (<italic>n</italic> = 752)</th>
<th align="center" valign="top" colspan="2">Medical (<italic>n</italic> = 304)</th>
<th align="center" valign="top" rowspan="2"><italic>p</italic> <xref rid="tfn1" ref-type="table-fn"><sup>&#x002A;</sup></xref></th>
</tr>
<tr>
<th align="center" valign="top"><italic>n</italic></th>
<th align="center" valign="top">% (95% CI)</th>
<th align="center" valign="top"><italic>n</italic></th>
<th align="center" valign="top">% (95% CI)</th>
<th align="center" valign="top"><italic>n</italic></th>
<th align="center" valign="top">% (95% CI)</th>
<th align="center" valign="top"><italic>n</italic></th>
<th align="center" valign="top">% (95% CI)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">1. The person could snap out of the problem</td>
<td align="center" valign="middle">620</td>
<td align="left" valign="middle">58.7</td>
<td align="center" valign="middle">216</td>
<td align="left" valign="middle">60.8 (55.7&#x2013;65.3)</td>
<td align="center" valign="middle">404</td>
<td align="left" valign="middle">57.6 (53.9&#x2013;61.3)</td>
<td align="left" valign="middle">0.316</td>
<td align="center" valign="middle">459</td>
<td align="left" valign="middle">61.0 (57.5&#x2013;64.5)</td>
<td align="center" valign="middle">161</td>
<td align="left" valign="middle">53.0 (47.4&#x2013;58.6)</td>
<td align="left" valign="middle">0.016</td>
</tr>
<tr>
<td align="left" valign="top">2. Problem is a sign of personal weakness</td>
<td align="center" valign="middle">438</td>
<td align="left" valign="middle">41.5</td>
<td align="center" valign="middle">150</td>
<td align="left" valign="middle">42.3 (37.2&#x2013;47.4)</td>
<td align="center" valign="middle">288</td>
<td align="left" valign="middle">41.1 (37.5&#x2013;44.7)</td>
<td align="left" valign="middle">0.716</td>
<td align="center" valign="middle">286</td>
<td align="left" valign="middle">38.0 (34.5&#x2013;41.5)</td>
<td align="center" valign="middle">152</td>
<td align="left" valign="middle">50.0 (44.4&#x2013;55.6)</td>
<td align="left" valign="middle">
<bold>&#x003C;0.0001</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">3. Problem is not a real medical illness</td>
<td align="center" valign="middle">316</td>
<td align="left" valign="middle">29.9</td>
<td align="center" valign="middle">111</td>
<td align="left" valign="middle">31.3 (26.5&#x2013;36.1)</td>
<td align="center" valign="middle">205</td>
<td align="left" valign="middle">29.2 (25.8&#x2013;32.6)</td>
<td align="left" valign="middle">0.498</td>
<td align="center" valign="middle">238</td>
<td align="left" valign="middle">31.6 (28.3&#x2013;34.9)</td>
<td align="center" valign="middle">78</td>
<td align="left" valign="middle">25.7 (20.8&#x2013;30.6)</td>
<td align="left" valign="middle">0.054</td>
</tr>
<tr>
<td align="left" valign="top">4. People with this problem are dangerous</td>
<td align="center" valign="middle">641</td>
<td align="left" valign="middle">60.7</td>
<td align="center" valign="middle">205</td>
<td align="left" valign="middle">57.7 (52.6&#x2013;62.8)</td>
<td align="center" valign="middle">436</td>
<td align="left" valign="middle">62.2 (58.6&#x2013;65.8)</td>
<td align="left" valign="middle">0.162</td>
<td align="center" valign="middle">453</td>
<td align="left" valign="middle">60.2 (56.7&#x2013;63.7)</td>
<td align="center" valign="middle">188</td>
<td align="left" valign="middle">61.8 (56.3&#x2013;67.3)</td>
<td align="left" valign="middle">0.629</td>
</tr>
<tr>
<td align="left" valign="top">5. Avoid people with this problem</td>
<td align="center" valign="middle">48</td>
<td align="left" valign="middle">4.5</td>
<td align="center" valign="middle">16</td>
<td align="left" valign="middle">4.5 (39.8&#x2013;50.2)</td>
<td align="center" valign="middle">32</td>
<td align="left" valign="middle">4.6 (42.4&#x2013;49.7)</td>
<td align="left" valign="middle">0.966</td>
<td align="center" valign="middle">40</td>
<td align="left" valign="middle">5.3 (3.70&#x2013;6.90)</td>
<td align="center" valign="middle">8</td>
<td align="left" valign="middle">2.6 (0.8&#x2013;4.4)</td>
<td align="left" valign="middle">0.058</td>
</tr>
<tr>
<td align="left" valign="top">6. People with this problem are unpredictable</td>
<td align="center" valign="middle">308</td>
<td align="left" valign="middle">29.2</td>
<td align="center" valign="middle">104</td>
<td align="left" valign="middle">29.3 (24.6&#x2013;34.0)</td>
<td align="center" valign="middle">204</td>
<td align="left" valign="middle">29.1 (25.7&#x2013;32.5)</td>
<td align="left" valign="middle">0.948</td>
<td align="center" valign="middle">218</td>
<td align="left" valign="middle">29.0 (25.8&#x2013;32.2)</td>
<td align="center" valign="middle">90</td>
<td align="left" valign="middle">29.6 (24.5&#x2013;34.7)</td>
<td align="left" valign="middle">0.842</td>
</tr>
<tr>
<td align="left" valign="top">7. If I had this problem, I would not tell anyone</td>
<td align="center" valign="middle">96</td>
<td align="left" valign="middle">9.1</td>
<td align="center" valign="middle">47</td>
<td align="left" valign="middle">13.2 (9.7&#x2013;16.7)</td>
<td align="center" valign="middle">49</td>
<td align="left" valign="middle">7.0 (5.1&#x2013;8.8)</td>
<td align="left" valign="middle"><bold>0.001</bold></td>
<td align="center" valign="middle">77</td>
<td align="left" valign="middle">10.2 (8.0&#x2013;12.4)</td>
<td align="center" valign="middle">19</td>
<td align="left" valign="middle">6.3 (3.6&#x2013;9.0)</td>
<td align="left" valign="middle">0.041</td>
</tr>
<tr>
<td align="left" valign="top">8. I would not employ someone with this problem</td>
<td align="center" valign="middle">293</td>
<td align="left" valign="middle">27.7</td>
<td align="center" valign="middle">102</td>
<td align="left" valign="middle">28.7 (24.0&#x2013;33.4)</td>
<td align="center" valign="middle">191</td>
<td align="left" valign="middle">27.2 (23.9&#x2013;30.5)</td>
<td align="left" valign="middle">0.611</td>
<td align="center" valign="middle">203</td>
<td align="left" valign="middle">27.0 (23.8&#x2013;30.2)</td>
<td align="center" valign="middle">90</td>
<td align="left" valign="middle">29.6 (24.5&#x2013;34.7)</td>
<td align="left" valign="middle">0.391</td>
</tr>
<tr>
<td align="left" valign="top">9. I would not vote for a politician with this problem</td>
<td align="center" valign="middle">448</td>
<td align="left" valign="middle">42.4</td>
<td align="center" valign="middle">148</td>
<td align="left" valign="middle">41.6 (36.5&#x2013;46.7)</td>
<td align="center" valign="middle">300</td>
<td align="left" valign="middle">42.8 (39.1&#x2013;46.5)</td>
<td align="left" valign="middle">0.731</td>
<td align="center" valign="middle">311</td>
<td align="left" valign="middle">41.4 (37.9&#x2013;44.9)</td>
<td align="center" valign="middle">137</td>
<td align="left" valign="middle">45.1 (39.5&#x2013;50.7)</td>
<td align="left" valign="middle">0.269</td>
</tr>
<tr>
<td align="left" valign="top">DSS total score (mean &#x00B1; SD)</td>
<td align="left" valign="middle" colspan="2">26.91 &#x00B1; 3.56</td>
<td align="left" valign="middle" colspan="2">27.05 &#x00B1; 3.72</td>
<td align="left" valign="middle" colspan="2">26.84 &#x00B1; 3.52</td>
<td align="left" valign="middle">0.378</td>
<td align="left" valign="middle" colspan="2">27.06 &#x00B1; 3.683</td>
<td align="left" valign="middle" colspan="2">26.54 &#x00B1; 3.321</td>
<td align="left" valign="middle">
<bold>0.035</bold>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>CI, confidence interval; DSS, depression stigma scale. Data are n, % or mean &#x00B1; SD.</p> <fn id="tfn1">
<label>&#x002A;</label><p><italic>p</italic> &#x003C; 0.05.</p>
<p><italic>Bold value means p</italic> &#x003C; 0.05.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p><xref ref-type="supplementary-material" rid="SM1">Supplementary Table 1</xref> shows the under- and post-graduate differences, and school-level (national key/ordinary/3-year college) differences in the percentage of participants who held sigma attitudes toward the person with depression in the vignette. <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 2</xref> shows the under- and post-graduate differences, and school-level (national key/ordinary/3-year college) differences. <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 3</xref> shows the entire sample, gender differences, and medical and non-medical major differences in the percentage of participants who thought that other people may hold stigma attitudes toward the person with depression in the vignette.</p>
</sec>
<sec id="sec11">
<title>Social Distance</title>
<p>The gender differences and medical and non-medical major differences in the percentage of participants who were unwilling to have contact with the person described in the vignette are shown in <xref rid="tab3" ref-type="table">Table 3</xref>. Many respondents were unwilling to &#x201C;marry into the family of people with depression&#x201D; (71.1%) or &#x201C;work closely with them&#x201D; (45.1%). Compared with male students, females were more unwilling to &#x201C;work closely with them&#x201D; (40.3 vs. 47.5%, <italic>p</italic> = 0.026). There were no other gender or medical and non-medical major differences in social distancing for people with depression.</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Percentage of participants who &#x201C;probably unwilling&#x201D; or &#x201C;definitely unwilling&#x201D; to have contact with the person described in the vignette.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle" rowspan="3">Statement about personal belief (SDS)</th>
<th align="center" valign="top" colspan="2">Total (<italic>N</italic> = 1,056)</th>
<th align="center" valign="top" colspan="5">Gender</th>
<th align="center" valign="top" colspan="5">Major</th>
</tr>
<tr>
<th align="center" valign="top" rowspan="2"><italic>n</italic></th>
<th align="center" valign="top" rowspan="2">%</th>
<th align="center" valign="top" colspan="2">Male (<italic>n</italic> = 355)</th>
<th align="center" valign="top" colspan="2">Female (<italic>n</italic> = 701)</th>
<th align="center" valign="top" rowspan="2"><italic>p</italic> <xref rid="tfn2" ref-type="table-fn"><sup>&#x002A;</sup></xref></th>
<th align="center" valign="top" colspan="2">Non-medical (<italic>n</italic> = 752)</th>
<th align="center" valign="top" colspan="2">Medical (<italic>n</italic> = 304)</th>
<th align="center" valign="top" rowspan="2"><italic>p</italic> <xref rid="tfn2" ref-type="table-fn"><sup>&#x002A;</sup></xref></th>
</tr>
<tr>
<th align="center" valign="top"><italic>n</italic></th>
<th align="center" valign="top">% (95% CI)</th>
<th align="center" valign="top"><italic>n</italic></th>
<th align="center" valign="top">% (95% CI)</th>
<th align="center" valign="top"><italic>n</italic></th>
<th align="center" valign="top">% (95% CI)</th>
<th align="center" valign="top"><italic>n</italic></th>
<th align="center" valign="top">% (95% CI)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">1. Live next door</td>
<td align="center" valign="middle">289</td>
<td align="left" valign="middle">27.4</td>
<td align="center" valign="top">103</td>
<td align="left" valign="top">29.0 (24.3&#x2013;33.7)</td>
<td align="center" valign="top">186</td>
<td align="left" valign="top">26.5 (23.2&#x2013;29.8)</td>
<td align="left" valign="top">0.393</td>
<td align="center" valign="top">211</td>
<td align="left" valign="top">28.1 (42.9&#x2013;31.3)</td>
<td align="center" valign="top">78</td>
<td align="left" valign="top">25.7 (20.8&#x2013;30.6)</td>
<td align="left" valign="top">0.428</td>
</tr>
<tr>
<td align="left" valign="middle">2. Spend the evening socializing</td>
<td align="center" valign="middle">208</td>
<td align="left" valign="middle">19.7</td>
<td align="center" valign="top">78</td>
<td align="left" valign="top">22.0 (17.7&#x2013;26.3)</td>
<td align="center" valign="top">130</td>
<td align="left" valign="top">18.5 (15.6&#x2013;21.4)</td>
<td align="left" valign="top">0.186</td>
<td align="center" valign="top">150</td>
<td align="left" valign="top">19.9 (17.0&#x2013;22.8)</td>
<td align="center" valign="top">58</td>
<td align="left" valign="top">19.1 (14.7&#x2013;23.5)</td>
<td align="left" valign="top">0.748</td>
</tr>
<tr>
<td align="left" valign="middle">3. Make friends</td>
<td align="center" valign="middle">253</td>
<td align="left" valign="middle">24.0</td>
<td align="center" valign="top">93</td>
<td align="left" valign="top">26.2 (21.6&#x2013;30.8)</td>
<td align="center" valign="top">160</td>
<td align="left" valign="top">22.8 (19.7&#x2013;25.9)</td>
<td align="left" valign="top">0.225</td>
<td align="center" valign="top">172</td>
<td align="left" valign="top">22.9 (19.9&#x2013;25.9)</td>
<td align="center" valign="top">81</td>
<td align="left" valign="top">26.6 (21.6&#x2013;31.6)</td>
<td align="left" valign="top">0.193</td>
</tr>
<tr>
<td align="left" valign="middle">4. Work closely</td>
<td align="center" valign="middle">476</td>
<td align="left" valign="middle">45.1</td>
<td align="center" valign="top">143</td>
<td align="left" valign="top">40.3 (35.2&#x2013;45.4)</td>
<td align="center" valign="top">333</td>
<td align="left" valign="top">47.5 (43.8&#x2013;51.2)</td>
<td align="left" valign="top">
<bold>0.026</bold>
</td>
<td align="center" valign="top">335</td>
<td align="left" valign="top">44.5 (40.9&#x2013;48.1)</td>
<td align="center" valign="top">141</td>
<td align="left" valign="top">46.4 (40.8&#x2013;52.0)</td>
<td align="left" valign="top">0.588</td>
</tr>
<tr>
<td align="left" valign="middle">5. Marry into family</td>
<td align="center" valign="middle">751</td>
<td align="left" valign="middle">71.1</td>
<td align="center" valign="top">243</td>
<td align="left" valign="top">68.5 (63.7&#x2013;73.3)</td>
<td align="center" valign="top">508</td>
<td align="left" valign="top">72.5 (69.2&#x2013;75.8)</td>
<td align="left" valign="top">0.174</td>
<td align="center" valign="top">533</td>
<td align="left" valign="top">70.9 (67.7&#x2013;74.1)</td>
<td align="center" valign="top">218</td>
<td align="left" valign="top">71.7 (66.7&#x2013;76.8)</td>
<td align="left" valign="top">0.787</td>
</tr>
<tr>
<td align="left" valign="middle">DSS total score (mean &#x00B1; SD)</td>
<td align="left" valign="middle" colspan="2">11.5 &#x00B1; 2.76</td>
<td align="left" valign="top" colspan="2">11.59 &#x00B1; 2.883</td>
<td align="left" valign="top" colspan="2">11.45 &#x00B1; 2.701</td>
<td align="left" valign="top">0.439</td>
<td align="left" valign="top" colspan="2">11.46 &#x00B1; 2.799</td>
<td align="left" valign="top" colspan="2">11.58 &#x00B1; 2.674</td>
<td align="left" valign="top">0.536</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>CI, confidence interval; SDS, social distance scale. Data are n, % or mean &#x00B1; SD.</p> 
<fn id="tfn2">
<label>&#x002A;</label><p><italic>p</italic> &#x003C; 0.05.</p>
<p><italic>Bold value means p</italic> &#x003C; 0.05.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The under- and post-graduate differences, and school-level (national key/ordinary/3-year college) differences in the percentage of participants who were unwilling to have contact with the person with depression described in the vignette are shown in <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 4</xref>.</p>
</sec>
<sec id="sec12">
<title>Predictors for Stigma and Social Distance</title>
<p>Predictors (education level, major, school level, age, and gender) for stigma and social distance are shown in <xref rid="tab4" ref-type="table">Table 4</xref>. Compared with ordinary universities and 3-year colleges, students from national key universities are more likely to hold stigma attitudes toward depression and keep social distance toward people with depression. Also, compared with postgraduate students, graduate students were more likely to hold stigma attitudes toward depression. The analysis did not find any associations among major, age, and gender with the total score of stigma or social distance.</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Predictors for stigma and social distance by multiple linear regression analysis.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Dependent variable</th>
<th align="left" valign="top">Predictors</th>
<th align="center" valign="top"><italic>B</italic></th>
<th align="center" valign="top"><italic>t</italic></th>
<th align="center" valign="top"><italic>p</italic>
<xref rid="tfn3" ref-type="table-fn"><sup>&#x002A;</sup></xref>
</th>
<th align="center" valign="top"><italic>R</italic></th>
<th align="center" valign="top"><italic>R</italic><sup>2</sup></th>
<th align="center" valign="top"><italic>Adj.R</italic><sup>2</sup></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="5">DSS total score</td>
<td align="left" valign="middle">Education level</td>
<td align="left" valign="top">&#x2212;2.713</td>
<td align="left" valign="top">&#x2212;2.604</td>
<td align="left" valign="top">
<bold>0.009</bold>
</td>
<td align="left" valign="top">0.153</td>
<td align="left" valign="top">0.023</td>
<td align="left" valign="top">0.019</td>
</tr>
<tr>
<td align="left" valign="middle">Major</td>
<td align="left" valign="top">&#x2212;0.213</td>
<td align="left" valign="top">&#x2212;0.427</td>
<td align="left" valign="top">0.669</td>
<td align="left" valign="top">
</td>
<td align="left" valign="top">
</td>
<td align="left" valign="top">
</td>
</tr>
<tr>
<td align="left" valign="middle">School level</td>
<td align="left" valign="top">&#x2212;1.307</td>
<td align="left" valign="top">&#x2212;3.804</td>
<td align="left" valign="top">
<bold>0.000</bold>
</td>
<td align="left" valign="top">
</td>
<td align="left" valign="top">
</td>
<td align="left" valign="top">
</td>
</tr>
<tr>
<td align="left" valign="middle">Gender</td>
<td align="left" valign="top">0.012</td>
<td align="left" valign="top">0.024</td>
<td align="left" valign="top">0.980</td>
<td align="left" valign="top">
</td>
<td align="left" valign="top">
</td>
<td align="left" valign="top">
</td>
</tr>
<tr>
<td align="left" valign="middle">Age</td>
<td align="left" valign="top">&#x2212;0.060</td>
<td align="left" valign="top">&#x2212;0.385</td>
<td align="left" valign="top">0.700</td>
<td align="left" valign="top">
</td>
<td align="left" valign="top">
</td>
<td align="left" valign="top">
</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="5">SDS total score</td>
<td align="left" valign="middle">Education level</td>
<td align="left" valign="top">&#x2212;0.472</td>
<td align="left" valign="top">&#x2212;1.201</td>
<td align="left" valign="top">0.230</td>
<td align="left" valign="top">0.101</td>
<td align="left" valign="top">0.010</td>
<td align="left" valign="top">0.006</td>
</tr>
<tr>
<td align="left" valign="middle">Major</td>
<td align="left" valign="top">&#x2212;0.111</td>
<td align="left" valign="top">&#x2212;0.592</td>
<td align="left" valign="top">0.554</td>
<td align="left" valign="top">
</td>
<td align="left" valign="top">
</td>
<td align="left" valign="top">
</td>
</tr>
<tr>
<td align="left" valign="middle">School level</td>
<td align="left" valign="top">&#x2212;0.303</td>
<td align="left" valign="top">&#x2212;2.335</td>
<td align="left" valign="top">
<bold>0.020</bold>
</td>
<td align="left" valign="top">
</td>
<td align="left" valign="top">
</td>
<td align="left" valign="top">
</td>
</tr>
<tr>
<td align="left" valign="middle">Gender</td>
<td align="left" valign="top">&#x2212;0.153</td>
<td align="left" valign="top">&#x2212;0.816</td>
<td align="left" valign="top">0.415</td>
<td align="left" valign="top">
</td>
<td align="left" valign="top">
</td>
<td align="left" valign="top">
</td>
</tr>
<tr>
<td align="left" valign="middle">Age</td>
<td align="left" valign="top">&#x2212;0.048</td>
<td align="left" valign="top">&#x2212;0.818</td>
<td align="left" valign="top">0.413</td>
<td align="left" valign="top">
</td>
<td align="left" valign="top">
</td>
<td align="left" valign="top">
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>DSS, depression stigma scale; SDS, social distance scale.</p> <fn id="tfn3">
<label>&#x002A;</label><p><italic>p</italic> &#x003C; 0.05.</p>
<p><italic>Bold value means p</italic> &#x003C; 0.05.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="sec13" sec-type="discussions">
<title>Discussion</title>
<p>To the best of our knowledge, this is the first study that investigated the gender (male and female) and major (medical and non-medical) differences in Chinese college students&#x2019; stigma attitudes toward people with depression and the desire for social distancing by a case vignette. This study found that there is a high level of stigma and desire for social distancing among college students toward depressive people. This study also showed that male students and medical students hold higher stigma in some subscale items toward people with depression. To be specific, over 60% of respondents agreed that people described in the vignette were &#x201C;dangerous&#x201D; (60.7%) and &#x201C;could snap out of the problem&#x201D; (58.7%). Compared with female students (7.0%), male students (13.2%) were more likely to agree that &#x201C;If I had this problem, I would not tell anyone&#x201D;; compared with non-medical students (38.0%), medical students (50.0%) were more likely to agree that &#x201C;the problem is a sign of personal weakness.&#x201D; Over 70% respondents would be unwilling to &#x201C;marry into the family of people with depression,&#x201D; and more than 45% unwilling to &#x201C;work closely with them.&#x201D; Compared with male students (40.3%), females (47.5%) were more unwilling to &#x201C;work closely with them.&#x201D;</p>
<sec id="sec14">
<title>Stigma</title>
<p>In this study, the most common stigmatizing attitudes toward people with depression among college students were &#x201C;people with this problem are dangerous&#x201D; and &#x201C;the person could snap out of the problem.&#x201D; Danger often has been labeled among individuals with depression. It is highly consistent with other studies (<xref ref-type="bibr" rid="ref33">Link et al., 1999</xref>; <xref ref-type="bibr" rid="ref41">Schwenk et al., 2010</xref>; <xref ref-type="bibr" rid="ref28">Kashihara, 2015</xref>). A sample of university students in Qatar reported that over 60% of students believed that people with mental illness are dangerous (<xref ref-type="bibr" rid="ref48">Zolezzi et al., 2017</xref>). A systematic review and meta-analysis reported that one-third of young people in India display &#x201C;dangerous&#x201D; and other negative attitudes toward people with mental health problems (<xref ref-type="bibr" rid="ref15">Gaiha et al., 2020</xref>). A study compared perceptions of mental health among college students between two countries, and found that more college students from Vietnam tended to realize that individuals with mental illness were dangerous than their US counterparts (<xref ref-type="bibr" rid="ref27">Kamimura et al., 2018</xref>). In this study, 61.8% of medical students and 60.2% of non-medical students held this view. Our previous study of 1,123 non-mental health professionals in six general hospitals in Hunan Province showed that more than 70% of them believed that people with depression are dangerous (<xref ref-type="bibr" rid="ref43">Wu et al., 2017</xref>, <xref ref-type="bibr" rid="ref44">2019</xref>). Furthermore, a review indicated that this stigma is even widespread among mental health professionals (<xref ref-type="bibr" rid="ref40">Schulze, 2007</xref>). In addition to beliefs of dangerousness, the current study found that perceived stigma was generally higher than personal stigma. Similar trends have been reported by other studies on university students from different countries, such as Australia and the United States (<xref ref-type="bibr" rid="ref8">Busby Grant et al., 2016</xref>; <xref ref-type="bibr" rid="ref38">Pompeo-Fargnoli, 2020</xref>). Dualistic thinking about mental disorders among university students may contribute to this view. Multilevel efforts are encouraged to overcome mental illness stigma, such as changing attitudes and practices among mental health professionals, formulating policies and regulations, alternating media depictions, and enhancing empathy (<xref ref-type="bibr" rid="ref23">Hinshaw and Stier, 2008</xref>).</p>
</sec>
<sec id="sec15">
<title>Social Distance</title>
<p>The current study found that keeping social distance from depression patients is common among university/college students, which is consistent with the fact that the social distancing from people with mental illness is widespread. A lot of them would not like to marry a person who is depressed (71.1%), followed by not wanting to work closely with them (45.1%). A similar study found that 49.9% of undergraduate pharmacy students from Nigeria hold the belief that &#x201C;I would be against any daughter of mine marrying a man who had been to the hospital to see a psychiatrist about mental problems&#x201D; (<xref ref-type="bibr" rid="ref5">Anosike et al., 2020</xref>). This study indicated that people are not willing to have in-depth and close contact with patients with depression. The view of keeping social distance may be due to the belief of danger in people with depression, as 60.7% students hold this view in the current study. A line of research studies which also suggest that people with depression (or other mental illness) are dangerous seems to generate increased social distancing (<xref ref-type="bibr" rid="ref4">Angermeyer and Matschinger, 2003</xref>; <xref ref-type="bibr" rid="ref3">Anderson et al., 2015</xref>).</p>
</sec>
<sec id="sec16">
<title>Gender Differences in Stigma Attitude</title>
<p>We found that female students showed a significantly higher willingness to disclose themselves than males if they had this problem described in the vignette, which is in line with previous research (<xref ref-type="bibr" rid="ref32">Leong and Zachar, 1999</xref>). This gender difference in disclosure willingness may indicate the different genders show a difference in coping styles and attitudes toward seeking professional help (<xref ref-type="bibr" rid="ref32">Leong and Zachar, 1999</xref>; <xref ref-type="bibr" rid="ref7">Brown et al., 2018</xref>). This suggested that females are more likely to disclose their own situation and choose to seek help. Another interesting finding is that more female students were willing to work closely with people with depression than male students. A previous study suggested that females are generally more likely to experience stigma about depression or other mental illnesses than males (<xref ref-type="bibr" rid="ref13">Farina, 1981</xref>; <xref ref-type="bibr" rid="ref3">Anderson et al., 2015</xref>). A nationwide online survey on a group of UK medical students reported that women showed less stigmatization than men in nearly all conditions, including pneumonia, depression, psychotic symptoms, intravenous drug use, and long-standing unexplained abdominal complaints (<xref ref-type="bibr" rid="ref29">Korszun et al., 2012</xref>).</p>
</sec>
<sec id="sec17">
<title>Does Psychiatric Education Play a Role in Reducing Stigma?</title>
<p>In this study, a high proportion of both medical and non-medical students were reported negative attitudes and beliefs toward people with depression. Considering medical students are required to complete psychiatry course, including common mental disorders, such as depression, it is speculated that involving more anti-stigma interventions and mental health literacy into current psychiatric education may help to reduce stigma. The negative attitudes toward depression among medical students might be associated with their &#x201C;stereotype&#x201D; that depressive patients are unpredictable, ineloquent, and find it hard to control themselves (<xref ref-type="bibr" rid="ref42">Suwalska et al., 2016</xref>). A survey on 1,010 Australian-trained medical students reported that higher perceived stigma and higher stress, a past history of anxiety, and Year 3 of medical school were associated with higher personal stigma scores (<xref ref-type="bibr" rid="ref9">Cheng et al., 2013</xref>). A sample of the Lebanese population showed that higher knowledge of mental illness, high level of education, and being familiar with close people with mental illnesses were associated with less stigmatizing attitudes (<xref ref-type="bibr" rid="ref1">Abi Doumit et al., 2019</xref>). On the other hand, increased education and experience with mental illnesses are associated with reduced stigma (<xref ref-type="bibr" rid="ref39">Sandhu et al., 2019</xref>). The high proportion of negative attitudes toward depression may reflect the fact that the present psychiatric education mainly focuses on professional knowledge acquisition, but neglects knowledge about how to reduce mental health stigma and discrimination. The fact also reflects the lack of humanistic and emotional concerns that contributed to reduce stigma and negative attitudes toward depression and other mental disorders. It is imperative to take all available measures to provide more information about depression, which may help reduce the shame about the symptoms.</p>
</sec>
</sec>
<sec id="sec18">
<title>Limitation</title>
<p>There are several limitations in the present study. First, the use of convenience sampling in this study may have resulted in inherent deficiencies in sampling, such as poor representativeness and insufficient randomization. Thus, the sample may be biased in some degree and may not be fully representative of the population. However, this study randomly selected different classes by the school, grade, and major. Second, several important sociodemographic factors were not investigated, such as the history of contact with mentally ill patients, receiving psychological counseling, a history of depression or current depression, having important or close people suffering from mental illness, and parents&#x2019; education level. Finally, some critical factors (such as racial background, previous contact with someone with depression, and knowledge about mental illness) related to the stigma of depression were not included in the current study.</p>
</sec>
<sec id="sec19" sec-type="conclusions">
<title>Conclusion</title>
<p>The present study found that a high proportion of Chinese college students showed stigma and social distancing from people with depression; male students and medical major students showed a higher stigma in some subscale items toward people with depression. The present results indicate that stigmatization might be a critical interventional target for decreasing depression in university students, and suggest that more anti-stigma interventions should be carried out among college students to reduce their stigma attitudes toward people with depression.</p>
</sec>
<sec id="sec20">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="sec21">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by the Ethics Committee of the Second Xiangya Hospital of Central South University. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.</p>
</sec>
<sec id="sec22">
<title>Author Contributions</title>
<p>TL: conceived the study. YL and HH: performed the literature review, statistical analyses, and took the lead in writing the manuscript. HH collected the data. YL, QW, YH, and SC revised the manuscript. TL and YL: interpreted the data and commented on the manuscript. All authors contributed to the article and approved the submitted version.</p>
<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>
</body>
<back>
<ack>
<p>The authors thank all the participants.</p>
</ack>
<sec id="sec24" sec-type="supplementary-material">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fpsyg.2021.648059/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fpsyg.2021.648059/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.DOCX" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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<ref id="ref48"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zolezzi</surname> <given-names>M.</given-names></name> <name><surname>Bensmail</surname> <given-names>N.</given-names></name> <name><surname>Zahrah</surname> <given-names>F.</given-names></name> <name><surname>Khaled</surname> <given-names>S. M.</given-names></name> <name><surname>El-Gaili</surname> <given-names>T.</given-names></name></person-group> (<year>2017</year>). <article-title>Stigma associated with mental illness: perspectives of university students in Qatar</article-title>. <source>Neuropsychiatr. Dis. Treat.</source> <volume>13</volume>, <fpage>1221</fpage>&#x2013;<lpage>1233</lpage>. doi: <pub-id pub-id-type="doi">10.2147/ndt.s132075</pub-id>, PMID: <pub-id pub-id-type="pmid">28533684</pub-id></citation></ref></ref-list><fn-group><fn fn-type="financial-disclosure"><p><bold>Funding.</bold> This study was supported by the National Key R&#x0026;D Program of China (2017YFC1310400) and the National Natural Science Foundation of China (grant no. 81671324 and 81371465 to TL).</p></fn></fn-group><fn-group><fn id="fn0001"><p><sup>1</sup><ext-link xlink:href="https://www.ncss.com/" ext-link-type="uri">https://www.ncss.com/</ext-link></p></fn></fn-group></back></article>