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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Neurol.</journal-id>
<journal-title>Frontiers in Neurology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Neurol.</abbrev-journal-title>
<issn pub-type="epub">1664-2295</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fneur.2022.796296</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Neurology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Validation of the Chinese Version of the Stigma Scale of Epilepsy</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Wu</surname> <given-names>Yuanxia</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1519796/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Huang</surname> <given-names>Kailing</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1353827/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Wen</surname> <given-names>Shirui</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1593203/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Xiao</surname> <given-names>Bo</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/469493/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Feng</surname> <given-names>Li</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/432154/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Neurology, 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 Geriatric Disorders, Xiangya Hospital, Central South University</institution>, <addr-line>Changsha</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Xin Tian, First Affiliated Hospital of Chongqing Medical University, China</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Kheng Seang Lim, University of Malaya, Malaysia; Beatriz Parejo-Carbonell, Servicio de Neurolog&#x000ED;a, Hospital Cl&#x000ED;nico San Carlos, Spain</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Li Feng <email>fenglihx&#x00040;163.com</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Epilepsy, a section of the journal Frontiers in Neurology</p></fn>
<fn fn-type="equal" id="fn002"><p>&#x02020;These authors have contributed equally to this work and share first authorship</p></fn></author-notes>
<pub-date pub-type="epub">
<day>07</day>
<month>02</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>796296</elocation-id>
<history>
<date date-type="received">
<day>16</day>
<month>10</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>06</day>
<month>01</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2022 Wu, Huang, Wen, Xiao and Feng.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Wu, Huang, Wen, Xiao and Feng</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license> </permissions>
<abstract>
<sec>
<title>Purpose</title>
<p>This study was carried out to test the validity and reliability of the Chinese version of the Stigma Scale of Epilepsy (SSE), with aim to better understand the public stigmatizing attitudes of epilepsy in China and help elucidate stigma determinants for interventions.</p></sec>
<sec>
<title>Methods</title>
<p>The SSE was translated into Simplified Chinese Mandarin. In this study, most of the participants were enrolled <italic>via</italic> convenience sampling by randomly distributing questionnaires on the streets and parts of the participants were recruited by an online platform named Wenjuanxing. We assessed the psychometric properties of the SSE in 310 Chinese native-speaker. Cronbach&#x00027;s alpha was tested for reliability. Index of Content Validity (CVI) was calculated. Exploratory and confirmatory analysis were used to explore the factor structure and verify the validity of SSE.</p></sec>
<sec>
<title>Results</title>
<p>The Cronbach&#x00027;s alpha is 0.936 for the overall scale, and the CVI value is greater than 0.78. The exploratory factor analysis (EFA) extracted SSE six factors: the fear of seizure attacks (factor 1), sympathy for patients with epilepsy (PWEs) (factor 2); difficulties faced by PWEs (factor 3); speculation on PWEs&#x00027; feeling (factor 4); discrimination against PWEs (factor 5); and knowledge about epilepsy (factor 6). The item 13 was proven to be problematic and has been eliminated. The confirmatory factor analysis (CFA) ensured the great construct validity (&#x003C7;<sup>2</sup>/SD = 1.725, goodness of fit index (GFI) = 0.916, and root mean square error of approximation (RMSEA) = 0.048), convergent validity (the factor loads of each item corresponding to each latent variable &#x0003E;0.6, average variance extracted (AVE) &#x0003E; 0.5, and composite reliability (CR) &#x0003E; 0.7), and discrimination validity (all of the absolute value of correlation coefficient are &#x0003C;0.5,and less than the square root of AVE) of the SSE.</p></sec>
<sec>
<title>Conclusions</title>
<p>The Chinese version of the SSE scale was a valid and reliable tool to measure epilepsy-associated stigma in the Chinese society.</p></sec></abstract>
<kwd-group>
<kwd>epilepsy</kwd>
<kwd>the stigma scale of epilepsy</kwd>
<kwd>validation</kwd>
<kwd>China</kwd>
<kwd>stigma</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="7"/>
<equation-count count="0"/>
<ref-count count="40"/>
<page-count count="9"/>
<word-count count="6891"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Epilepsy is a chronic neurological disease characterized as excessive hyper synchronized discharge of brain neurons (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). Patients with epilepsy (PWEs) not only suffer from the physical problems (such as, fractures and bruising from injuries related to seizures), but also a series of complex psychosocial disorders, such as anxiety, depression, suicidal risk, stigma and discrimination, exclusion, and overprotection (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B3">3</xref>&#x02013;<xref ref-type="bibr" rid="B6">6</xref>). Among these psychosocial disorders, stigma is the one with great impacts on the recovery, prognosis, and quality of life among PWEs (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>), which is even greater than the adverse reactions of epileptic seizure and antiepileptic drugs (<xref ref-type="bibr" rid="B9">9</xref>).</p>
<p>The stigma related to epilepsy prevails globally (<xref ref-type="bibr" rid="B10">10</xref>), and it may be much more serious in China than elsewhere. To date, there are more than 9 million PWEs in China with a treatment gap of 63% (<xref ref-type="bibr" rid="B10">10</xref>&#x02013;<xref ref-type="bibr" rid="B12">12</xref>). The incidence of stigma among PWEs in urban and rural areas are 71% and 89%, respectively (<xref ref-type="bibr" rid="B13">13</xref>). Guo pointed out that the sources of PWEs&#x00027; stigma in China come from three main aspects: seizure attacks, social misconceptions, and negative attitudes toward epilepsy and negative psychological factors of patients (<xref ref-type="bibr" rid="B14">14</xref>). Unlike other chronic diseases, such as diabetes, the onset of seizures is sudden, uncontrollable, and always accompanied with a series of unsightly manifestations, such as sudden falls, limbs twitching, and foaming at the mouth (<xref ref-type="bibr" rid="B15">15</xref>), which may be a shock or an unacceptable thing to the witnesses for the first time. These feelings will alienate the witnesses from PWEs, which is a form of stigma. Besides, social misconception about epilepsy may contribute a lot to epilepsy-associated stigma (<xref ref-type="bibr" rid="B16">16</xref>). In rural areas of China, it is believed that epilepsy was caused by seeing ghosts, being possessed by devils, and was always thought to be a mental disease rather than neurological disease, with high possibility to be passed on to the next generation (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>). About 14% of parents do not want their children to play with children with epilepsy, and 75% of parents do not want their children to marry a PWE (<xref ref-type="bibr" rid="B19">19</xref>). Even the medical staffs in basic-level hospitals from southern China, they still showed negative and conservative attitudes toward PWEs (<xref ref-type="bibr" rid="B20">20</xref>). For PWEs themselves, they feel that they are physically defective and worry about their future career and social life because of their misperceptions about epilepsy, which will definitely lead to the aggravation of felt stigma (<xref ref-type="bibr" rid="B21">21</xref>). Therefore, it is of great importance to make everyone aware of the problems faced by PWEs and fundamentally change misconceptions of people and explore stigma determinants for social interventions in China.</p>
<p>To achieve effective stigma reducing interventions, stigma need to be measured accurately. The Epilepsy Stigma Scale (EES) and the Kilifi Stigma Scale of Epilepsy (KSSE) are the commonly used scales for evaluating self-stigma of PWEs (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>). From the perspective of people without epilepsy, the Stigma Scale of Epilepsy (SSE), developed by Brazilian researchers, has been widely applied all over the world, such as Zambia, the Czech Republic, Italy, India, and Korea (<xref ref-type="bibr" rid="B24">24</xref>&#x02013;<xref ref-type="bibr" rid="B31">31</xref>). Some studies used &#x0201C;Public Attitudes Toward Epilepsy&#x0201D; scale (PATE) to evaluate the epilepsy-associated knowledge, attitudes, and practices (KAP) among the public (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>). But this scale lacks the focus on emotional reaction of public to epilepsy and PWEs. It is known that the PWEs are always accompanied with mood disorder, which would have effect on stigma (<xref ref-type="bibr" rid="B34">34</xref>). Furthermore, the public emotional reactions toward epilepsy or seizure attacks may be a source of stigma of PWEs (<xref ref-type="bibr" rid="B29">29</xref>). Thus, in our study, we chose the SSE to assess the epilepsy-related stigma and related emotional reaction from the perspective of people without epilepsy. Considering that its high internal consistency and validity has not been confirmed in China, we proposed to investigate the psychometric properties of the SSE and validate the Chinese version of SSE to access the epilepsy-related stigmatization of the public in China.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<sec>
<title>Subjects</title>
<p>Chinese-native speakers were enrolled <italic>via</italic> convenience sampling by randomly distributing questionnaires on the streets of Changsha, China, and parts of the participants were recruited by an online platform named Wenjuanxing. The participants in the study had no history of seizures or epilepsy. No other exclusion criteria were made. Written consents were obtained and all questionnaires were administered anonymously. The sociodemographic characteristics of participants, such as age, gender, marital status, educational levels, medical background, and family history of epilepsy were recorded.</p>
</sec>
<sec>
<title>Ethics Statement</title>
<p>Our study has been approved by the Ethics Committee of the Xiangya Hospital of Central South University [No. 201912528]. All the participants were informed about the purpose and significance of our study and that their answers to the scale will be used in our scientific research. All the subjects provided informed consent in writing.</p>
</sec>
<sec>
<title>Measurements</title>
<p>The SSE scale is developed and validated by Fernandes (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B29">29</xref>). The SSE scale is a five-dimensional 24-item scale that measures public stigma toward epilepsy. The first dimension includes one item for the understanding of disease essence. The second dimension consists of four items about the emotions when the people witness a seizure. The third and fourth dimension both have seven items, reflecting the difficulties face by PWEs and the public emotions from the patient&#x00027;s point of view, respectively. The fifth dimension contains 5 items showing the prejudice and discrimination associated with epilepsy. Each item has four response categories with 1 being &#x0201C;agree not at all,&#x0201D; 2 being &#x0201C;a little,&#x0201D; 3 being &#x0201C;a lot,&#x0201D; and 4 being &#x0201C;totally agree.&#x0201D; The internal consistency of the SSE for the score showed a general Cronbach&#x00027;s coefficient of 0.88 for the PWEs and 0.81 for people in the community.</p>
</sec>
<sec>
<title>Translation of the SSE Into Simplified Mandarin Chinese</title>
<p>To be consistent with rules for the translation of research tools and make the questionnaire acceptable and comprehensible, the original SSE scale was translated into Mandarin Chinese by the two separate and bilingual researchers, who have no medical knowledge and systematic training. Then, the authors modified the translated words because of conservative culture and thinking. A team of clinical neurologists and psychologists checked and determined the better version. Furthermore, the better Chinese version of SSE was translated back into English and compared with the original scale. Modifications are made until the acceptable Chinese version is agreed. After reviewing the logic and typo errors, twenty native Chinese speakers from different background were asked to complete the draft and point out any ambiguities or difficulties in understanding. All the revisions were contained in the last version of the scale. After that, we invited another twenty native Chinese speakers, and they did not raise any new questions. Therefore, the last version was finalized.</p>
</sec>
<sec>
<title>Sample Size</title>
<p>The sample was calculated according to the widely quoted rule of thumb (<xref ref-type="bibr" rid="B35">35</xref>), in which 10 or 5 subjects at a minimum are required for every item being analyzed. Not &#x0003C;120 or 240 subjects are required in our research. As Comrey (<xref ref-type="bibr" rid="B36">36</xref>) suggested that &#x0201C;a sample size of 100 is poor, 200, fair; 300, good; 500, very good; and 1,000, excellent, we included 300 subjects at least in our study.&#x0201D;</p>
</sec>
<sec>
<title>Data Analysis</title>
<p>Data were input with excel and analyzed with IBM SPSS Statistics 25 software and AMOS 24 software. Descriptive statistics were used to characterize the subjects and distribution of SSE scores. Categorical variables were expressed as number and percentage.</p>
<sec>
<title>Reliability</title>
<p>The internal consistency of the scale was assessed by corrected item-total correlations, Cronbach&#x00027;s alpha and Cronbach&#x00027;s Alpha if item removed. The value of corrected item-total correlations should be &#x0003E;0.4. An alpha value of 0.7&#x02013;0.9 is acceptable, &#x0003E;0.9 is ideal.</p>
</sec>
<sec>
<title>Validity</title>
<p>We invited six experts from the psychology, epidemiology, and neurology departments to evaluate the content validity of the SSE. Experts were asked to make a choice on how relevant (or representative) each item was to the corresponding content dimension, and to suggest items that needed to be added or adjusted. In general, the options are 4-point rating: 1 = inappropriate, 2 = relatively inappropriate, 3 = relatively appropriate, and 4 = appropriate. The higher the score, the more appropriate the item. Index of Content Validity (CVI) was calculated to evaluate to the relevance of the item to the corresponding content dimension, and the value of CVI should be not &#x0003C;0.78. Before exploratory factor analysis (EFA), The Kaiser&#x02013;Meyer&#x02013;Olkin (KMO) test was applied for sampling adequacy and whether the data met the criteria of principal component analysis (PCA). The KMO value should be &#x0003E;0.6 and the factor loading coefficient of the item on the corresponding factor need to be &#x0003E;0.5. We used the varimax rotation and scree plot for EFA. Eigenvalue &#x0003E;1 was used to identify the number of extracting factors in the scree plot. Confirmatory factor analysis (CFA) was performed to further check the factor structure of the translated Chinese version of SSE. Average variance extracted (AVE) and composite reliability (CR) are commonly used indicators of polymerization validity. In general, AVE is &#x0003E;0.5 and CR value is &#x0003E;0.7 (<xref ref-type="bibr" rid="B37">37</xref>), indicating high polymerization validity. The discriminant validity can be tested by comparing the AVE square root with the correlation value. If the AVE square root is greater than the correlation value, the discriminant validity is good. We performed a comparison between the total score of SSE and scores of each factor with medical background and family history of epilepsy using Mann&#x02013;Whitney test to prove the validity.</p>
</sec>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>The Chinese SSE</title>
<p>After the standard translation process described above, the finalized Chinese version of the SSE was created (<xref ref-type="supplementary-material" rid="SM1">Appendix 1</xref>). The average time to fill out the scale was about 5 min.</p>
</sec>
<sec>
<title>Demographic Data</title>
<p>In total, 310 subjects completed the questionnaire. The ages of the 310 respondents in the study varied between 15 and 74 years, with 57.7% male respondents, 40.6% married, 98.7% having a minimum education of 9 years, 21.0% having medical background, and 3.2% having family history of epilepsy (<xref ref-type="table" rid="T1">Table 1</xref>). <xref ref-type="table" rid="T2">Table 2</xref> depicts the percentage distributions of the responses to each item on the Chinese SSE scale.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Demographic characteristic of participants (<italic>n</italic> = 310).</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th/>
<th valign="top" align="center"><bold>Number (%)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Sex</td>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">179 (57.7)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">131 (42.3)</td>
</tr>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="left">under 18 years old</td>
<td valign="top" align="center">7 (2.3)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">18&#x02013;60 years old</td>
<td valign="top" align="center">296 (95.4)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">60 years old or above</td>
<td valign="top" align="center">7 (2.3)</td>
</tr>
<tr>
<td valign="top" align="left">Marital status</td>
<td valign="top" align="left">Married</td>
<td valign="top" align="center">126 (40.6)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">178 (57.4)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Divorced</td>
<td valign="top" align="center">6 (1.9)</td>
</tr>
<tr>
<td valign="top" align="left">Education level</td>
<td valign="top" align="left">Primary or under</td>
<td valign="top" align="center">4 (1.3)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Middle or High School</td>
<td valign="top" align="center">106 (34.2)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">College or above</td>
<td valign="top" align="center">200 (64.5)</td>
</tr>
<tr>
<td valign="top" align="left">Medical background</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">65 (21.0)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">No</td>
<td valign="top" align="center">245 (79.0)</td>
</tr>
<tr>
<td valign="top" align="left">Family history of epilepsy</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">10 (3.2)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">No</td>
<td valign="top" align="center">300 (96.8)</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Felt stigma measures using the Stigma Scale of Epilepsy (SSE).</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Stigma scale of epilepsy, number (%)</bold></th>
<th/>
<th/>
<th/>
<th/>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>Not at all</bold></th>
<th valign="top" align="center"><bold>A little</bold></th>
<th valign="top" align="center"><bold>A lot</bold></th>
<th valign="top" align="center"><bold>Totally</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="5">Question 1: Do you think that people with epilepsy feel able to control their own epilepsy?</td>
</tr>
<tr>
<td valign="top" align="left">1. Control</td>
<td valign="top" align="center">190 (61.3)</td>
<td valign="top" align="center">87 (28.1)</td>
<td valign="top" align="center">28 (9.0)</td>
<td valign="top" align="center">5 (1.6)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Question 2: How would you feel when you see an epileptic seizure?</td>
</tr>
<tr>
<td valign="top" align="left">2. Scared</td>
<td valign="top" align="center">57 (18.4)</td>
<td valign="top" align="center">151 (48.7)</td>
<td valign="top" align="center">50 (16.1)</td>
<td valign="top" align="center">52 (16.8)</td>
</tr>
<tr>
<td valign="top" align="left">3. Fear</td>
<td valign="top" align="center">75 (24.2)</td>
<td valign="top" align="center">129 (41.6)</td>
<td valign="top" align="center">56 (18.1)</td>
<td valign="top" align="center">50 (16.1)</td>
</tr>
<tr>
<td valign="top" align="left">4. Sadness</td>
<td valign="top" align="center">22 (7.1)</td>
<td valign="top" align="center">82 (26.5)</td>
<td valign="top" align="center">80 (25.8)</td>
<td valign="top" align="center">126 (40.6)</td>
</tr>
<tr>
<td valign="top" align="left">5. Pity</td>
<td valign="top" align="center">15 (4.8)</td>
<td valign="top" align="center">58 (18.7)</td>
<td valign="top" align="center">61 (19.7)</td>
<td valign="top" align="center">176 (56.8)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Question 3: Which difficulties do you think people with epilepsy have in their daily lives?</td>
</tr>
<tr>
<td valign="top" align="left">6. Relationships</td>
<td valign="top" align="center">19 (6.1)</td>
<td valign="top" align="center">117 (37.7)</td>
<td valign="top" align="center">71 (22.9)</td>
<td valign="top" align="center">103 (33.2)</td>
</tr>
<tr>
<td valign="top" align="left">7.Work</td>
<td valign="top" align="center">12 (3.9)</td>
<td valign="top" align="center">104 (33.5)</td>
<td valign="top" align="center">74 (23.9)</td>
<td valign="top" align="center">120 (38.7)</td>
</tr>
<tr>
<td valign="top" align="left">8. School</td>
<td valign="top" align="center">36 (11.6)</td>
<td valign="top" align="center">107 (34.5)</td>
<td valign="top" align="center">73 (23.5)</td>
<td valign="top" align="center">94 (30.3)</td>
</tr>
<tr>
<td valign="top" align="left">9. Friendships</td>
<td valign="top" align="center">27 (8.7)</td>
<td valign="top" align="center">113 (36.5)</td>
<td valign="top" align="center">72 (23.2)</td>
<td valign="top" align="center">98 (31.6)</td>
</tr>
<tr>
<td valign="top" align="left">10. Sexual</td>
<td valign="top" align="center">40 (12.9)</td>
<td valign="top" align="center">131 (42.3)</td>
<td valign="top" align="center">73 (23.5)</td>
<td valign="top" align="center">66 (21.3)</td>
</tr>
<tr>
<td valign="top" align="left">11. Emotional</td>
<td valign="top" align="center">34 (11.0)</td>
<td valign="top" align="center">126 (40.6)</td>
<td valign="top" align="center">81 (26.1)</td>
<td valign="top" align="center">69 (22.3)</td>
</tr>
<tr>
<td valign="top" align="left">12. Prejudice</td>
<td valign="top" align="center">22 (7.1)</td>
<td valign="top" align="center">116 (37.4)</td>
<td valign="top" align="center">91 (29.4)</td>
<td valign="top" align="center">81 (26.1)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Question 4: How do you think that people with epilepsy feel?</td>
</tr>
<tr>
<td valign="top" align="left">13. Worried</td>
<td valign="top" align="center">15 (4.8)</td>
<td valign="top" align="center">92 (29.7)</td>
<td valign="top" align="center">105 (33.9)</td>
<td valign="top" align="center">98 (31.6)</td>
</tr>
<tr>
<td valign="top" align="left">14. Dependent</td>
<td valign="top" align="center">31 (10.0)</td>
<td valign="top" align="center">170 (54.8)</td>
<td valign="top" align="center">71 (22.9)</td>
<td valign="top" align="center">38 (12.3)</td>
</tr>
<tr>
<td valign="top" align="left">15. Incapable</td>
<td valign="top" align="center">42 (13.5)</td>
<td valign="top" align="center">148 (47.7)</td>
<td valign="top" align="center">78 (25.2)</td>
<td valign="top" align="center">42 (13.5)</td>
</tr>
<tr>
<td valign="top" align="left">16. Fearful</td>
<td valign="top" align="center">25 (8.1)</td>
<td valign="top" align="center">118 (38.1)</td>
<td valign="top" align="center">94 (30.3)</td>
<td valign="top" align="center">73 (23.5)</td>
</tr>
<tr>
<td valign="top" align="left">17. Depressed</td>
<td valign="top" align="center">22 (7.1)</td>
<td valign="top" align="center">136 (43.9)</td>
<td valign="top" align="center">89 (28.7)</td>
<td valign="top" align="center">63 (20.3)</td>
</tr>
<tr>
<td valign="top" align="left">18. Ashamed</td>
<td valign="top" align="center">18 (5.8)</td>
<td valign="top" align="center">134 (43.2)</td>
<td valign="top" align="center">99 (31.9)</td>
<td valign="top" align="center">59 (19.0)</td>
</tr>
<tr>
<td valign="top" align="left">19. The same as those without epilepsy</td>
<td valign="top" align="center">54 (17.4)</td>
<td valign="top" align="center">147 (47.4)</td>
<td valign="top" align="center">61 (19.7)</td>
<td valign="top" align="center">48 (15.5)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Question 5: In your opinion, the prejudice in epilepsy will be related to?</td>
</tr>
<tr>
<td valign="top" align="left">20. Relationships</td>
<td valign="top" align="center">33 (10.6)</td>
<td valign="top" align="center">129 (41.6)</td>
<td valign="top" align="center">84 (27.1)</td>
<td valign="top" align="center">64 (20.6)</td>
</tr>
<tr>
<td valign="top" align="left">21. Marriage</td>
<td valign="top" align="center">26 (8.4)</td>
<td valign="top" align="center">112 (36.1)</td>
<td valign="top" align="center">97 (31.3)</td>
<td valign="top" align="center">75 (24.2)</td>
</tr>
<tr>
<td valign="top" align="left">22. Work</td>
<td valign="top" align="center">23 (7.4)</td>
<td valign="top" align="center">120 (38.7)</td>
<td valign="top" align="center">94 (30.3)</td>
<td valign="top" align="center">73 (23.5)</td>
</tr>
<tr>
<td valign="top" align="left">23. School</td>
<td valign="top" align="center">33 (10.6)</td>
<td valign="top" align="center">124 (40.0)</td>
<td valign="top" align="center">90 (29.0)</td>
<td valign="top" align="center">63 (20.3)</td>
</tr>
<tr>
<td valign="top" align="left">24. Family</td>
<td valign="top" align="center">78 (25.2)</td>
<td valign="top" align="center">119 (38.4)</td>
<td valign="top" align="center">72 (23.2)</td>
<td valign="top" align="center">41 (13.2)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>Validity</title>
<p>The KMO test and Bartlett&#x00027;s test of sphericity were performed before PCA. The KMO value was 0.913, and Bartlett&#x00027;s test value was 5,226.218 (<italic>p</italic> = 0.001), suggesting that the data are suitable for a factor analysis. Researchers conducted EFA under a condition of undefined factor number. Six factors (eigenvalue &#x0003E;1) were extracted. The cumulative variance contribution rate (%) of six factors was 73.076%. Moreover, the scree plot indicated that the 6-factor structure was suitable for the scale (<xref ref-type="fig" rid="F1">Figure 1</xref>). The results of rotated component matrix was shown in <xref ref-type="table" rid="T3">Table 3</xref>. The bold vale of <xref ref-type="table" rid="T3">Table 3</xref> means the factor loading of the item in the corresponding component is &#x0003E;0.5, which indicates the item should be attributed to this component. Based on above theoretical analyses, the interpretation of factors given in <xref ref-type="table" rid="T3">Table 3</xref> was recommended as follows: factor 1 refers to the public&#x00027;s fear of seizure attacks; factor 2 refers to the public&#x00027;s sympathy for PWEs; factor 3 refers to the difficulties faced by PWEs; factor 4 refers to the public&#x00027;s speculation on PWEs&#x00027; feeling; factor 5 refers to the discrimination against PWEs; and factor 6 refers to the knowledge about epilepsy. However, the varimax rotation indicated that the factor 6 only has one item. Thus, the item 1 was not included in the model and a five-factor structure was extracted. Besides, item 13 had a factor loading (&#x0003E;0.5) both in the factor 3 (difficulties faced by PWEs) and factor 4 (speculation on PWEs&#x00027; feeling), which means item 13 is not a specifically targeted question to assess the public&#x00027;s speculation on PWEs&#x00027; feeling. It may also, to some extent, reflect the difficulties faced by PWEs in the Chinese culture. This would bring errors and biases to subsequent analysis, thus. The item 13 was excluded. As for the Q2, although its item-total correlations are relatively low than other questions, we did not exclude it because the Cronbach&#x00027;s &#x003B1; values were close to the total Cronbach&#x00027;s &#x003B1; value no matter which item in Q2 was deleted, as shown in <xref ref-type="table" rid="T4">Table 4</xref>. Based on the aforementioned analyses, the final version of the scale consisted of 5 factors and 22 items.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>The scree plot of the items related to stigma toward epilepsy in normal people. The scree plot was acquired by principal component analysis (PCA) with correlation matrix.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fneur-13-796296-g0001.tif"/>
</fig>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Rotated component matrix.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center" colspan="6" style="border-bottom: thin solid #000000;"><bold>Component</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>1</bold></th>
<th valign="top" align="center"><bold>2</bold></th>
<th valign="top" align="center"><bold>3</bold></th>
<th valign="top" align="center"><bold>4</bold></th>
<th valign="top" align="center"><bold>5</bold></th>
<th valign="top" align="center"><bold>6</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Item 1</td>
<td valign="top" align="center">&#x02212;0.042</td>
<td valign="top" align="center">0.024</td>
<td valign="top" align="center">0.014</td>
<td valign="top" align="center">&#x02212;0.056</td>
<td valign="top" align="center">0.038</td>
<td valign="top" align="center"><bold>0.962</bold></td>
</tr>
<tr>
<td valign="top" align="left">Item 2</td>
<td valign="top" align="center"><bold>0.925</bold></td>
<td valign="top" align="center">0.138</td>
<td valign="top" align="center">0.036</td>
<td valign="top" align="center">0.053</td>
<td valign="top" align="center">0.036</td>
<td valign="top" align="center">&#x02212;0.017</td>
</tr>
<tr>
<td valign="top" align="left">Item 3</td>
<td valign="top" align="center"><bold>0.924</bold>.</td>
<td valign="top" align="center">0.147</td>
<td valign="top" align="center">0.101</td>
<td valign="top" align="center">0.108</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">&#x02212;0.028</td>
</tr>
<tr>
<td valign="top" align="left">Item 4</td>
<td valign="top" align="center">0.056</td>
<td valign="top" align="center"><bold>0.872</bold></td>
<td valign="top" align="center">0.125</td>
<td valign="top" align="center">0.095</td>
<td valign="top" align="center">0.129</td>
<td valign="top" align="center">&#x02212;0.04</td>
</tr>
<tr>
<td valign="top" align="left">Item 5</td>
<td valign="top" align="center">0.314</td>
<td valign="top" align="center"><bold>0.797</bold></td>
<td valign="top" align="center">0.151</td>
<td valign="top" align="center">0.138</td>
<td valign="top" align="center">0.052</td>
<td valign="top" align="center">0.081</td>
</tr>
<tr>
<td valign="top" align="left">Item 6</td>
<td valign="top" align="center">&#x02212;0.013</td>
<td valign="top" align="center">0.144</td>
<td valign="top" align="center"><bold>0.758</bold></td>
<td valign="top" align="center">0.192</td>
<td valign="top" align="center">0.304</td>
<td valign="top" align="center">0.014</td>
</tr>
<tr>
<td valign="top" align="left">Item 7</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">0.195</td>
<td valign="top" align="center"><bold>0.806</bold></td>
<td valign="top" align="center">0.155</td>
<td valign="top" align="center">0.248</td>
<td valign="top" align="center">&#x02212;0.035</td>
</tr>
<tr>
<td valign="top" align="left">Item 8</td>
<td valign="top" align="center">0.048</td>
<td valign="top" align="center">0.042</td>
<td valign="top" align="center"><bold>0.801</bold></td>
<td valign="top" align="center">0.228</td>
<td valign="top" align="center">0.289</td>
<td valign="top" align="center">&#x02212;0.077</td>
</tr>
<tr>
<td valign="top" align="left">Item 9</td>
<td valign="top" align="center">0.023</td>
<td valign="top" align="center">0.113</td>
<td valign="top" align="center"><bold>0.788</bold></td>
<td valign="top" align="center">0.23</td>
<td valign="top" align="center">0.271</td>
<td valign="top" align="center">&#x02212;0.084</td>
</tr>
<tr>
<td valign="top" align="left">Item 10</td>
<td valign="top" align="center">0.077</td>
<td valign="top" align="center">0.069</td>
<td valign="top" align="center"><bold>0.741</bold></td>
<td valign="top" align="center">0.248</td>
<td valign="top" align="center">0.191</td>
<td valign="top" align="center">0.035</td>
</tr>
<tr>
<td valign="top" align="left">Item 11</td>
<td valign="top" align="center">0.094</td>
<td valign="top" align="center">0.004</td>
<td valign="top" align="center"><bold>0.664</bold></td>
<td valign="top" align="center">0.303</td>
<td valign="top" align="center">0.173</td>
<td valign="top" align="center">0.095</td>
</tr>
<tr>
<td valign="top" align="left">Item 12</td>
<td valign="top" align="center">0.103</td>
<td valign="top" align="center">&#x02212;0.052</td>
<td valign="top" align="center"><bold>0.611</bold></td>
<td valign="top" align="center">0.381</td>
<td valign="top" align="center">0.174</td>
<td valign="top" align="center">0.16</td>
</tr>
<tr>
<td valign="top" align="left">Item 13</td>
<td valign="top" align="center">&#x02212;0.006</td>
<td valign="top" align="center">0.203</td>
<td valign="top" align="center"><bold>0.503</bold></td>
<td valign="top" align="center"><bold>0.591</bold></td>
<td valign="top" align="center">&#x02212;0.019</td>
<td valign="top" align="center">0.002</td>
</tr>
<tr>
<td valign="top" align="left">Item 14</td>
<td valign="top" align="center">0.107</td>
<td valign="top" align="center">&#x02212;0.02</td>
<td valign="top" align="center">0.294</td>
<td valign="top" align="center"><bold>0.682</bold></td>
<td valign="top" align="center">0.227</td>
<td valign="top" align="center">0.175</td>
</tr>
<tr>
<td valign="top" align="left">Item 15</td>
<td valign="top" align="center">0.015</td>
<td valign="top" align="center">0.043</td>
<td valign="top" align="center">0.236</td>
<td valign="top" align="center"><bold>0.72</bold></td>
<td valign="top" align="center">0.37</td>
<td valign="top" align="center">&#x02212;0.004</td>
</tr>
<tr>
<td valign="top" align="left">Item 16</td>
<td valign="top" align="center">0.044</td>
<td valign="top" align="center">0.124</td>
<td valign="top" align="center">0.286</td>
<td valign="top" align="center"><bold>0.736</bold></td>
<td valign="top" align="center">0.251</td>
<td valign="top" align="center">&#x02212;0.069</td>
</tr>
<tr>
<td valign="top" align="left">Item 17</td>
<td valign="top" align="center">0.072</td>
<td valign="top" align="center">0.008</td>
<td valign="top" align="center">0.295</td>
<td valign="top" align="center"><bold>0.773</bold></td>
<td valign="top" align="center">0.252</td>
<td valign="top" align="center">&#x02212;0.111</td>
</tr>
<tr>
<td valign="top" align="left">Item 18</td>
<td valign="top" align="center">0.06</td>
<td valign="top" align="center">0.084</td>
<td valign="top" align="center">0.307</td>
<td valign="top" align="center"><bold>0.808</bold></td>
<td valign="top" align="center">0.266</td>
<td valign="top" align="center">&#x02212;0.055</td>
</tr>
<tr>
<td valign="top" align="left">Item 19</td>
<td valign="top" align="center">0.055</td>
<td valign="top" align="center">0.16</td>
<td valign="top" align="center">0.066</td>
<td valign="top" align="center"><bold>0.539</bold></td>
<td valign="top" align="center">0.28</td>
<td valign="top" align="center">&#x02212;0.041</td>
</tr>
<tr>
<td valign="top" align="left">Item 20</td>
<td valign="top" align="center">&#x02212;0.017</td>
<td valign="top" align="center">0.128</td>
<td valign="top" align="center">0.304</td>
<td valign="top" align="center">0.306</td>
<td valign="top" align="center"><bold>0.699</bold></td>
<td valign="top" align="center">0.061</td>
</tr>
<tr>
<td valign="top" align="left">Item 21</td>
<td valign="top" align="center">0.09</td>
<td valign="top" align="center">0.083</td>
<td valign="top" align="center">0.294</td>
<td valign="top" align="center">0.272</td>
<td valign="top" align="center"><bold>0.76</bold></td>
<td valign="top" align="center">&#x02212;0.095</td>
</tr>
<tr>
<td valign="top" align="left">Item 22</td>
<td valign="top" align="center">&#x02212;0.019</td>
<td valign="top" align="center">0.077</td>
<td valign="top" align="center">0.35</td>
<td valign="top" align="center">0.272</td>
<td valign="top" align="center"><bold>0.769</bold></td>
<td valign="top" align="center">&#x02212;0.032</td>
</tr>
<tr>
<td valign="top" align="left">Item 23</td>
<td valign="top" align="center">&#x02212;0.036</td>
<td valign="top" align="center">0.038</td>
<td valign="top" align="center">0.335</td>
<td valign="top" align="center">0.391</td>
<td valign="top" align="center"><bold>0.689</bold></td>
<td valign="top" align="center">0.096</td>
</tr>
<tr>
<td valign="top" align="left">Item 24</td>
<td valign="top" align="center">0.089</td>
<td valign="top" align="center">0.013</td>
<td valign="top" align="center">0.276</td>
<td valign="top" align="center">0.427</td>
<td valign="top" align="center"><bold>0.587</bold></td>
<td valign="top" align="center">0.163</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Reliability results.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center"><bold>Corrected item-total correlation</bold></th>
<th valign="top" align="center"><bold>Cronbach&#x00027;s &#x003B1; If item deleted</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="3">Question 1: Do you think that people with epilepsy feel able to control their own epilepsy?</td>
</tr>
<tr>
<td valign="top" align="left">1. Control</td>
<td valign="top" align="center" colspan="2">Not included</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Question 2: How would you feel when you see an epileptic seizure?</td>
</tr>
<tr>
<td valign="top" align="left">2. Scared</td>
<td valign="top" align="center">0.231</td>
<td valign="top" align="center">0.939</td>
</tr>
<tr>
<td valign="top" align="left">3. Fear</td>
<td valign="top" align="center">0.285</td>
<td valign="top" align="center">0.939</td>
</tr>
<tr>
<td valign="top" align="left">4. Sadness</td>
<td valign="top" align="center">0.382</td>
<td valign="top" align="center">0.937</td>
</tr>
<tr>
<td valign="top" align="left">5. Pity</td>
<td valign="top" align="center">0.341</td>
<td valign="top" align="center">0.937</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Question 3: Which difficulties do you think people with epilepsy have in their daily lives?</td>
</tr>
<tr>
<td valign="top" align="left">6. Relationships</td>
<td valign="top" align="center">0.708</td>
<td valign="top" align="center">0.932</td>
</tr>
<tr>
<td valign="top" align="left">7.Work</td>
<td valign="top" align="center">0.706</td>
<td valign="top" align="center">0.932</td>
</tr>
<tr>
<td valign="top" align="left">8. School</td>
<td valign="top" align="center">0.735</td>
<td valign="top" align="center">0.931</td>
</tr>
<tr>
<td valign="top" align="left">9. Friendships</td>
<td valign="top" align="center">0.737</td>
<td valign="top" align="center">0.931</td>
</tr>
<tr>
<td valign="top" align="left">10. Sexual</td>
<td valign="top" align="center">0.674</td>
<td valign="top" align="center">0.932</td>
</tr>
<tr>
<td valign="top" align="left">11. Emotional</td>
<td valign="top" align="center">0.638</td>
<td valign="top" align="center">0.933</td>
</tr>
<tr>
<td valign="top" align="left">12. Prejudice</td>
<td valign="top" align="center">0.636</td>
<td valign="top" align="center">0.933</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Question 4: How do you think that people with epilepsy feel?</td>
</tr>
<tr>
<td valign="top" align="left">13. Worried</td>
<td valign="top" align="center" colspan="2">Not included</td>
</tr>
<tr>
<td valign="top" align="left">14. Dependent</td>
<td valign="top" align="center">0.65</td>
<td valign="top" align="center">0.933</td>
</tr>
<tr>
<td valign="top" align="left">15. Incapable</td>
<td valign="top" align="center">0.704</td>
<td valign="top" align="center">0.932</td>
</tr>
<tr>
<td valign="top" align="left">16. Fearful</td>
<td valign="top" align="center">0.698</td>
<td valign="top" align="center">0.932</td>
</tr>
<tr>
<td valign="top" align="left">17. Depressed</td>
<td valign="top" align="center">0.709</td>
<td valign="top" align="center">0.932</td>
</tr>
<tr>
<td valign="top" align="left">18. Ashamed</td>
<td valign="top" align="center">0.759</td>
<td valign="top" align="center">0.931</td>
</tr>
<tr>
<td valign="top" align="left">19. The same as those without epilepsy</td>
<td valign="top" align="center">0.479</td>
<td valign="top" align="center">0.935</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Question 5: In your opinion, the prejudice in epilepsy will be related to?</td>
</tr>
<tr>
<td valign="top" align="left">20. Relationships</td>
<td valign="top" align="center">0.672</td>
<td valign="top" align="center">0.932</td>
</tr>
<tr>
<td valign="top" align="left">21. Marriage</td>
<td valign="top" align="center">0.693</td>
<td valign="top" align="center">0.932</td>
</tr>
<tr>
<td valign="top" align="left">22. Work</td>
<td valign="top" align="center">0.708</td>
<td valign="top" align="center">0.932</td>
</tr>
<tr>
<td valign="top" align="left">23. School</td>
<td valign="top" align="center">0.718</td>
<td valign="top" align="center">0.931</td>
</tr>
<tr>
<td valign="top" align="left">24. Family</td>
<td valign="top" align="center">0.674</td>
<td valign="top" align="center">0.932</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Item number</td>
<td valign="top" align="center">Cronbach&#x00027;s alpha</td>
</tr>
<tr>
<td valign="top" align="left">Factor 1</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.887</td>
</tr>
<tr>
<td valign="top" align="left">Factor 2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.737</td>
</tr>
<tr>
<td valign="top" align="left">Factor 3</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">0.920</td>
</tr>
<tr>
<td valign="top" align="left">Factor 4</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">0.897</td>
</tr>
<tr>
<td valign="top" align="left">Factor 5</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0.900</td>
</tr>
<tr>
<td valign="top" align="left">Total</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">0.936</td>
</tr>
</tbody>
</table>
</table-wrap>
<sec>
<title>Content Validity</title>
<p>Content Validity was expressed by the CVI. All the I-CVI are &#x0003E;0.78, and the mean CVI value of all items in the scale was 0.97. CVI value of each dimension is 0.83, 0.96, 0.98, 0.98, and 1.00, respectively.</p>
</sec>
<sec>
<title>Construct Validity</title>
<p>The result of the construct validity is shown in <xref ref-type="table" rid="T5">Table 5</xref>, all within the range of acceptance or ideal. The CFA produced the following fit indices: <bold>&#x003C7;<sup>2</sup></bold>/SD = 1.725, goodness of fit index (GFI) = 0.916, normed fit index (NFI) = 0.937, comparative fit index (CFI) = 0.972, IFI (incremental fit index) = 0.972, Tucker&#x02013;Lewis index (TLI) = 0.966, and root mean square error of approximation (RMSEA) = 0.048. These excellent findings for all metrics indicate that the results fitted well with the 5-factor construct of the scale.</p>
<table-wrap position="float" id="T5">
<label>Table 5</label>
<caption><p>Goodness of fit index (GFI).</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center"><bold>X<sup><bold>2</bold></sup>/df</bold></th>
<th valign="top" align="center"><bold>RMSEA</bold></th>
<th valign="top" align="center"><bold>GFI</bold></th>
<th valign="top" align="center"><bold>NFI</bold></th>
<th valign="top" align="center"><bold>CFI</bold></th>
<th valign="top" align="center"><bold>IFI</bold></th>
<th valign="top" align="center"><bold>TLI</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Ideal</td>
<td valign="top" align="center">&#x02264; 3.0</td>
<td valign="top" align="center">&#x02264; 0.05</td>
<td valign="top" align="center">&#x02265;0.90</td>
<td valign="top" align="center">&#x02265;0.90</td>
<td valign="top" align="center">&#x02265;0.90</td>
<td valign="top" align="center">&#x02265;0.90</td>
<td valign="top" align="center">&#x02265;0.90</td>
</tr>
<tr>
<td valign="top" align="left">Acceptable</td>
<td valign="top" align="center">&#x02264; 5.0</td>
<td valign="top" align="center">&#x02264; 0.10</td>
<td valign="top" align="center">&#x02265;0.80</td>
<td valign="top" align="center">&#x02265;0.80</td>
<td valign="top" align="center">&#x02265;0.80</td>
<td valign="top" align="center">&#x02265;0.80</td>
<td valign="top" align="center">&#x02265;0.80</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">1.725</td>
<td valign="top" align="center">0.048</td>
<td valign="top" align="center">0.916</td>
<td valign="top" align="center">0.937</td>
<td valign="top" align="center">0.972</td>
<td valign="top" align="center">0.972</td>
<td valign="top" align="center">0.966</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>RMSEA, root mean square error of approximation; GFI, goodness-of-fit index; NFI, normed fit index; CFI, comparative fit index; IFI, incremental fit index; TLI, Tucker&#x02013;Lewis index</italic>.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Convergent Validity</title>
<p>As shown in the <xref ref-type="table" rid="T6">Table 6</xref>, the factor load of each item corresponding to each latent variable is &#x0003E;0.6,which shows that each item is highly representative of the corresponding latent variable. Besides, the average variance extracted is &#x0003E;0.5, and the composite reliability is &#x0003E;0.7, showing good convergence validity.</p>
<table-wrap position="float" id="T6">
<label>Table 6</label>
<caption><p>Convergent validity.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th/>
<th/>
<th valign="top" align="center"><bold>Estimate</bold></th>
<th valign="top" align="center"><bold>AVE</bold></th>
<th valign="top" align="center"><bold>CR</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Item 2</td>
<td valign="top" align="center">&#x0003C; ---</td>
<td valign="top" align="left">Factor 1</td>
<td valign="top" align="center">0.812</td>
<td valign="top" align="center">0.8109</td>
<td valign="top" align="center">0.8947</td>
</tr>
<tr>
<td valign="top" align="left">Item 3</td>
<td valign="top" align="center">&#x0003C; ---</td>
<td valign="top" align="left">Factor 1</td>
<td valign="top" align="center">0.981</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Item 4</td>
<td valign="top" align="center">&#x0003C; ---</td>
<td valign="top" align="left">Factor 2</td>
<td valign="top" align="center">0.969</td>
<td valign="top" align="center">0.6513</td>
<td valign="top" align="center">0.7799</td>
</tr>
<tr>
<td valign="top" align="left">Item 5</td>
<td valign="top" align="center">&#x0003C; ---</td>
<td valign="top" align="left">Factor 2</td>
<td valign="top" align="center">0.603</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Item 6</td>
<td valign="top" align="center">&#x0003C; ---</td>
<td valign="top" align="left">Factor 3</td>
<td valign="top" align="center">0.796</td>
<td valign="top" align="center">0.6108</td>
<td valign="top" align="center">0.9155</td>
</tr>
<tr>
<td valign="top" align="left">Item 7</td>
<td valign="top" align="center">&#x0003C; ---</td>
<td valign="top" align="left">Factor 3</td>
<td valign="top" align="center">0.803</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Item 8</td>
<td valign="top" align="center">&#x0003C; ---</td>
<td valign="top" align="left">Factor 3</td>
<td valign="top" align="center">0.886</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Item 9</td>
<td valign="top" align="center">&#x0003C; ---</td>
<td valign="top" align="left">Factor 3</td>
<td valign="top" align="center">0.893</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Item 10</td>
<td valign="top" align="center">&#x0003C; ---</td>
<td valign="top" align="left">Factor 3</td>
<td valign="top" align="center">0.752</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Item 11</td>
<td valign="top" align="center">&#x0003C; ---</td>
<td valign="top" align="left">Factor 3</td>
<td valign="top" align="center">0.647</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Item 12</td>
<td valign="top" align="center">&#x0003C; ---</td>
<td valign="top" align="left">Factor 3</td>
<td valign="top" align="center">0.656</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Item 15</td>
<td valign="top" align="center">&#x0003C; ---</td>
<td valign="top" align="left">Factor 4</td>
<td valign="top" align="center">0.816</td>
<td valign="top" align="center">0.6142</td>
<td valign="top" align="center">0.9038</td>
</tr>
<tr>
<td valign="top" align="left">Item 14</td>
<td valign="top" align="center">&#x0003C; ---</td>
<td valign="top" align="left">Factor 4</td>
<td valign="top" align="center">0.725</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Item 16</td>
<td valign="top" align="center">&#x0003C; ---</td>
<td valign="top" align="left">Factor 4</td>
<td valign="top" align="center">0.837</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Item 17</td>
<td valign="top" align="center">&#x0003C; ---</td>
<td valign="top" align="left">Factor 4</td>
<td valign="top" align="center">0.836</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Item 18</td>
<td valign="top" align="center">&#x0003C; ---</td>
<td valign="top" align="left">Factor 4</td>
<td valign="top" align="center">0.872</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Item 19</td>
<td valign="top" align="center">&#x0003C; ---</td>
<td valign="top" align="left">Factor 4</td>
<td valign="top" align="center">0.578</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Item 21</td>
<td valign="top" align="center">&#x0003C; ---</td>
<td valign="top" align="left">Factor 5</td>
<td valign="top" align="center">0.82</td>
<td valign="top" align="center">0.6721</td>
<td valign="top" align="center">0.9108</td>
</tr>
<tr>
<td valign="top" align="left">Item 20</td>
<td valign="top" align="center">&#x0003C; ---</td>
<td valign="top" align="left">Factor 5</td>
<td valign="top" align="center">0.776</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Item 22</td>
<td valign="top" align="center">&#x0003C; ---</td>
<td valign="top" align="left">Factor 5</td>
<td valign="top" align="center">0.877</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Item 23</td>
<td valign="top" align="center">&#x0003C; ---</td>
<td valign="top" align="left">Factor 5</td>
<td valign="top" align="center">0.865</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Item 24</td>
<td valign="top" align="center">&#x0003C; ---</td>
<td valign="top" align="left">Factor 5</td>
<td valign="top" align="center">0.754</td>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>AVE, average variance extracted; CR, composite reliability</italic>.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Discriminant Validity</title>
<p>As shown in <xref ref-type="table" rid="T7">Table 7</xref>, there was significant correlation among factor 1, factor 2, factor 3, factor 4, and factor 5 (<italic>p</italic> &#x0003C; 0.01). All the absolute values of correlation coefficient are &#x0003C;0.5,and less than the square root of AVE. It does not only show the significant correlation, but also the significant degree of distinction between the five factors.</p>
<table-wrap position="float" id="T7">
<label>Table 7</label>
<caption><p>Discriminant validity.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center"><bold>F1</bold></th>
<th valign="top" align="center"><bold>F2</bold></th>
<th valign="top" align="center"><bold>F3</bold></th>
<th valign="top" align="center"><bold>F4</bold></th>
<th valign="top" align="center"><bold>F5</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">F1</td>
<td valign="top" align="center">0.8109</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">F2</td>
<td valign="top" align="center">0.243<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.6513</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">F3</td>
<td valign="top" align="center">0.133<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.128<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.6142</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">F4</td>
<td valign="top" align="center">0.149<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.119<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.376<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.6721</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">F5</td>
<td valign="top" align="center">0.087</td>
<td valign="top" align="center">0.106<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.415<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.423<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.6108</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">0.9005</td>
<td valign="top" align="center">0.807032</td>
<td valign="top" align="center">0.781537</td>
<td valign="top" align="center">0.78370913</td>
<td valign="top" align="center">0.819817</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Discriminant validity were significant at &#x0002A;p &#x0003C; 0.05,</italic></p>
<fn id="TN1">
<label>&#x0002A;&#x0002A;</label>
<p><italic>p &#x0003C; 0.01,</italic></p></fn>
<fn id="TN2">
<label>&#x0002A;&#x0002A;&#x0002A;</label>
<p><italic>p &#x0003C; 0.001</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Effect of Medical Background and Family History of Epilepsy</title>
<p>To evaluate the possible effect of medical background and family history of epilepsy on the level of stigmatization, we performed a comparison using Mann&#x02013;Whitney test for the sum score and scores of each factor. The results are summarized in <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 1</xref>. It was seen that participants with family history of epilepsy have higher SSE scores than those without family history of epilepsy (<italic>p</italic> = 0.007), as well as three factors out of six factors&#x00027; scores (factor 2, factor 4, and factor 5). There is statistically no significance of the SSE scores between participants with medical background and participants without (<italic>p</italic> = 0.135), but the scores of factor 1 and factor 2 in participants without medical background are higher than those with medical background (<italic>p</italic> &#x0003C; 0.001 and <italic>p</italic> = 0.002, respectively).</p>
</sec>
</sec>
<sec>
<title>Reliability</title>
<p>The Cronbach&#x00027;s alpha value for the full Chinese Stigma Scale of Epilepsy was 0.936, and above 0.7 for each individual item. Cronbach&#x00027;s alpha was 0.887 for the factor 1, 0.737 for the factor 2, 0.897 for the Factor 3, 0.900 for the factor 4, and 0.920 for the factor 5, as shown in <xref ref-type="table" rid="T4">Table 4</xref>.</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>To validate the Chinese version of the SSE for accessing the epilepsy-related stigmatization of the public and to explore effective stigma reducing interventions, our study translated the SSE into Simplified Mandarin Chinese and qualified the translated scale with psychometric analysis, such as EFA, CFA, and internal consistency analysis. We provided clear evidence for the reliability and validity of the Chinese version of SSE.</p>
<p>Most of the participants included in our study were recruited <italic>via</italic> convenience sampling by randomly distributing questionnaires on the streets. Moreover, a part of the participants was enrolled through an online platform named Wenjuanxing, which enabled a wider coverage of our sample in geographical locations and life backgrounds. Indeed, the demographic data of our study indicated that our respondents had good social and cultural representation. The age of our respondents is mainly 18&#x02013;60 years (95.4%). Compared with the study form Italy, our male-female ratio was more appropriate, avoiding the effect of excessive positive reactions of women on the results. As for the marital status and educational levels and medical background, there was no difference between the previous study and ours (<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B39">39</xref>). Additionally, most of our participants did not have family history of epilepsy or relatives with epilepsy (3.2%), whose proportion was lower than that of the previous study conducted in other counties (12.4%) (<xref ref-type="bibr" rid="B39">39</xref>).</p>
<p>With regard to reliability, the Cronbach&#x00027;s alpha value in our study was 0.936, and the Cronbach&#x00027;s alpha value of each factor of the five latent traits was above 0.7, indicating excellent internal consistency of our Chinese version of the SSE. Content validity is an important step before exploring the structure validity. It refers to the degree of agreement between the content actually measured by a scale and the content to be measured. The SSE was evaluated by experts and calculated CVI value above 0.78 indicated that the scale had good content validity.</p>
<p>For the structure of SSE, previous study has fitted SSE into a model with two latent traits using the exploratory item response theory (IRT) analysis. The first latent trait reflected the difficulties associated with epilepsy, whereas the second one reflected the emotions associated with epilepsy (<xref ref-type="bibr" rid="B40">40</xref>). Later, the Czech version was studied by Dana Brabcova et al. which extracted four-factor structure of SSE. The factor 1 and factor 3 were associated with responses of PWEs to epilepsy in their personal life and the effect of epilepsy on their study and work, whereas the factor 2 and factor 4 were associated with the emotional reaction of public to epilepsy, and their emotional perspective about PWEs (<xref ref-type="bibr" rid="B31">31</xref>). The Chinese version of SSE structure was a little different from others, we extracted a 6-factor structure of SSE by using the EFA. Factor 1 reflected the scare of respondents, and factor 2 reflected the sympathy of respondents, when they witnessed a seizure attack. The emotional reaction of the public to epilepsy was divided into two aspects, which might be contributed to cultural differences. Essentially, fear and sympathy are two different emotional reactions. Fear refers to a strong depressive emotional experience when people are facing a certain dangerous situation, trying to get rid of it but unable to do anything. Sympathy refers to a caring and understanding emotional response for the suffering and misfortune of others. Specifically, many people in our study said that &#x0201C;I was not scared when I witnessed an epileptic seizure, but I felt sad and pity for him/her.&#x0201D; The factor 3 reflected the difficulties faced by PWEs. The factor 4 reflected the thoughts of respondents about how PWEs felt, factor 5 reflected the prejudice associated with epilepsy, and the factor 6 reflected the knowledge of epilepsy. To be honest, the factor structure of Chinese version has been slightly modified from the original version, which might limit its application in other populations.</p>
<p>Items 1 and 13 were proved to be problematic and removed from the model. For item 1, it was the only item of factor 6, and thus incapable of being included in the model to evaluate the validity. Even though the phrase &#x0201C;be able to control their own epilepsy&#x0201D; sounds quite ambiguous when translated into Chinese, about 61.3% of our subjects believed that epilepsy could not be controlled by PWEs themselves or effective treatments. It is the Chinese people&#x00027;s subconscious understanding of epilepsy, thus forming an independent factor. Besides, the item 1 was not suitable for factor structure analysis just for statistical reasons, rather than incapacity of quantifying stigma. In fact, lack of knowledge is one aspect of stigma. People with a more knowledge or a higher education may have a lower score for stigma. In the case of item 13, it was removed for the reason that its factor loading in factor 3 and factor 4 were both higher than 0.5, which meant that item 13 had lower discriminant validity. In fact, the items 1 and 13 were also excluded in the recently validated Zambian and Czech version of the scale. They excluded items 1 and item 13 for their low factor load (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B40">40</xref>).</p>
<p>We further validated the structural validity, convergent validity, and discriminant validity of the Chinese version of SSE. Structural validity refers to whether the structure of the scale is consistent with the theoretical assumptions of tabulation. The value of all metrics of the structural validity was excellent, indicating that the 5-factor construct of the scale fitted well. Convergent validity test showed that the item belonging to each factor was highly representative, and the discriminant validity test indicated the factors have a certain correlation, but they had a certain degree of discrimination between each other. Furthermore, we found that participants with medical background scored lower in factor 1 (the fear of seizure attacks) and factor 2 (sympathy for PWEs), which may be related to their deeper understanding of epilepsy. However, participants with family history of epilepsy scored higher on the total score and factor 2 (sympathy for PWEs), factor 3 (difficulties faced by PWEs), and factor 5 (discrimination against PWEs), which is in line with the fact we have observed clinically. Based on the above results, we hold the view that medical background and family history of epilepsy had an effect on the stigma, which is instructive for the application of the scale in the future and provides a theoretical basis for the design and grouping of subsequent studies on epilepsy stigma.</p>
<p>One limitation of the study is that a part of our respondents was recruited by an online platform, by which it may not include people who rarely access to computers or mobile phones, and those less educated people who were incapable of filling the scale online. Meanwhile, since our subjects mainly from Street random sampling and an online platform, we cannot carry out the test-retest reliability test. Besides, our study was conducted in Changsha, urban sampling could lower the participation rate of rural subjects thus affecting the results, as the incidence of stigma among PWEs in rural areas is higher than that of urban areas in China (<xref ref-type="bibr" rid="B13">13</xref>). Therefore, further studies with an adequate sample in different regions of China are needed.</p>
<p>Social stigma continues among PWEs. It brings them negative emotions such as anxiety and depression, restricts patients from seeking social support, and greatly affects the quality of life in PWEs. Therefore, it is crucial to formulate an effective public intervention for reducing stigma, starting with development and validation of an accurate Stigma Scale of Epilepsy, which might quantify the extent of stigma. Only when we are aware of the existence of epilepsy-associated stigma and psychosocial burden of PWEs can we have a deeper understanding of it, which may contribute to explore stigma reduction interventions to overcome prejudices, the false cognition, and to create a better social environment for PWEs and their family.</p>
</sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusions</title>
<p>This study has shown that the Chinese version of the SSE is a valid and reliable measurement instrument.</p>
</sec>
<sec sec-type="data-availability" id="s6">
<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="s7">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by the Ethics Committee of the Xiangya Hospital of Central South University [No. 201912528]. Written informed consent to participate in this study was provided by the participants&#x00027; legal guardian/next of kin.</p>
</sec>
<sec id="s8">
<title>Author Contributions</title>
<p>YW and KH contributed to the acquisition of data, and the drafting of the manuscript for content and interpretation of data. LF and BX contributed to the study design and revision of manuscript. SW contributed to data analysis.</p>
</sec>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>This work was supported by the Natural Science Foundation of China [Grant Numbers: 82071461 and 81771407].</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<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 sec-type="disclaimer" id="s10">
<title>Publisher&#x00027;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
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</body>
<back>
<ack><p>We are grateful to all the participants who filled out the questionnaires and we appreciate the help of the online platform named Wenjuanxing.</p>
</ack><sec sec-type="supplementary-material" id="s11">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fneur.2022.796296/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fneur.2022.796296/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"/>
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