<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.0 20040830//EN" "journalpublishing.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="2.0" xml:lang="en" article-type="research-article"><front><journal-meta><journal-id journal-id-type="nlm-ta">JMIR Form Res</journal-id><journal-id journal-id-type="publisher-id">formative</journal-id><journal-id journal-id-type="index">27</journal-id><journal-title>JMIR Formative Research</journal-title><abbrev-journal-title>JMIR Form Res</abbrev-journal-title><issn pub-type="epub">2561-326X</issn><publisher><publisher-name>JMIR Publications</publisher-name><publisher-loc>Toronto, Canada</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">v9i1e56028</article-id><article-id pub-id-type="doi">10.2196/56028</article-id><article-categories><subj-group subj-group-type="heading"><subject>Original Paper</subject></subj-group></article-categories><title-group><article-title>Online Health Information&#x2013;Seeking Behaviors Among the Chongqing Population: Cross-Sectional Questionnaire Study</article-title></title-group><contrib-group><contrib contrib-type="author" equal-contrib="yes"><name name-style="western"><surname>Rong</surname><given-names>Honghui</given-names></name><degrees>MSc</degrees><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="fn" rid="equal-contrib1">*</xref></contrib><contrib contrib-type="author" equal-contrib="yes"><name name-style="western"><surname>Lu</surname><given-names>Lu</given-names></name><degrees>MSc</degrees><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="fn" rid="equal-contrib1">*</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>He</surname><given-names>Miao</given-names></name><degrees>MSc</degrees><xref ref-type="aff" rid="aff2">2</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Guo</surname><given-names>Tian</given-names></name><degrees>MSc</degrees><xref ref-type="aff" rid="aff2">2</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Li</surname><given-names>Xian</given-names></name><degrees>MSc</degrees><xref ref-type="aff" rid="aff2">2</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Tao</surname><given-names>Qingliu</given-names></name><degrees>MSc</degrees><xref ref-type="aff" rid="aff2">2</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Li</surname><given-names>Yixin</given-names></name><degrees>MSc</degrees><xref ref-type="aff" rid="aff2">2</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Zheng</surname><given-names>Chuanfen</given-names></name><degrees>MSc</degrees><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Zhang</surname><given-names>Ling</given-names></name><degrees>MSc</degrees><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Li</surname><given-names>Fengju</given-names></name><degrees>MSc</degrees><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Yi</surname><given-names>Dali</given-names></name><degrees>MSc</degrees><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Lei</surname><given-names>Enyu</given-names></name><degrees>BS</degrees><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Luo</surname><given-names>Ting</given-names></name><degrees>MSc</degrees><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Yang</surname><given-names>Qinghua</given-names></name><degrees>MSc</degrees><xref ref-type="aff" rid="aff2">2</xref></contrib><contrib contrib-type="author" corresp="yes"><name name-style="western"><surname>Chen</surname><given-names>Ji-an</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="aff1">1</xref></contrib></contrib-group><aff id="aff1"><institution>Department of Health Education, School of Military Preventive Medicine, Army Medical University (Third Military Medical University)</institution><addr-line>Gaotanyan Street No 30, Shapingba District</addr-line><addr-line>Chongqing</addr-line><country>China</country></aff><aff id="aff2"><institution>Chongqing Health Education Institute</institution><addr-line>Chongqing</addr-line><country>China</country></aff><contrib-group><contrib contrib-type="editor"><name name-style="western"><surname>Mavragani</surname><given-names>Amaryllis</given-names></name></contrib></contrib-group><contrib-group><contrib contrib-type="reviewer"><name name-style="western"><surname>Pang</surname><given-names>Patrick Cheong-Iao</given-names></name></contrib><contrib contrib-type="reviewer"><name name-style="western"><surname>Zhang</surname><given-names>Xi</given-names></name></contrib></contrib-group><author-notes><corresp>Correspondence to Ji-an Chen, PhD, Department of Health Education, School of Military Preventive Medicine, Army Medical University (Third Military Medical University), Gaotanyan Street No 30, Shapingba District, Chongqing, 400038, China, 86 02368771579; <email>cjatmmu@hotmail.com</email></corresp><fn fn-type="equal" id="equal-contrib1"><label>*</label><p>these authors contributed equally</p></fn></author-notes><pub-date pub-type="collection"><year>2025</year></pub-date><pub-date pub-type="epub"><day>5</day><month>5</month><year>2025</year></pub-date><volume>9</volume><elocation-id>e56028</elocation-id><history><date date-type="received"><day>06</day><month>01</month><year>2024</year></date><date date-type="rev-recd"><day>08</day><month>02</month><year>2025</year></date><date date-type="accepted"><day>20</day><month>02</month><year>2025</year></date></history><copyright-statement>&#x00A9; Honghui Rong, Lu Lu, Miao He, Tian Guo, Xian Li, Qingliu Tao, Yixin Li, Chuanfen Zheng, Ling Zhang, Fengju Li, Dali Yi, Enyu Lei, Ting Luo, Qinghua Yang, Ji-an Chen. Originally published in JMIR Formative Research (<ext-link ext-link-type="uri" xlink:href="https://formative.jmir.org">https://formative.jmir.org</ext-link>), 5.5.2025. </copyright-statement><copyright-year>2025</copyright-year><license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (<ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on <ext-link ext-link-type="uri" xlink:href="https://formative.jmir.org">https://formative.jmir.org</ext-link>, as well as this copyright and license information must be included.</p></license><self-uri xlink:type="simple" xlink:href="https://formative.jmir.org/2025/1/e56028"/><related-article related-article-type="correction-forward" ext-link-type="doi" xlink:href="10.2196/77500" xlink:title="This is a corrected version. See correction statement in" xlink:type="simple">https://formative.jmir.org/2025/1/e77500</related-article><abstract><sec><title>Background</title><p>With the rapid development of the internet and its widespread use, online health information&#x2013;seeking (OHIS) has become a popular and important research topic. Various benefits of OHIS are well recognized. However, OHIS seems to be a mixed blessing. Research on OHIS has been reported in Western countries and in high-income regions in eastern China. Studies on the population in the western region of China, such as Chongqing, are still limited.</p></sec><sec><title>Objective</title><p>The aim of the study was to identify the prevalence, common topics, and common methods of health information&#x2013;seeking and the factors influencing these behaviors among the Chongqing population.</p></sec><sec sec-type="methods"><title>Methods</title><p>This cross-sectional questionnaire study was conducted from September to October 2021. A web-based questionnaire was sent to users aged 15 years and older in Chongqing using a Chinese web-based survey hosting site (N=14,466). Data on demographics, web-based health information resources, and health topics were collected. Factors that may influence health literacy were assessed using the chi-square test and multivariate logistic regression models.</p></sec><sec sec-type="results"><title>Results</title><p>A total of 67.1% (9704/14,466) of the participants displayed OHIS behaviors. Participants who were younger, had a higher educational level, and worked as medical staff or teachers were more likely to engage in OHIS, while those living in rural areas, ethnic minorities, and farmers were less likely to seek health information on the web (<italic>P</italic>&#x003C;.01). Among the Chongqing population, the most common topic searched on the internet was health behavior and literacy (87.4%, 8483/9704), and the most popular method of seeking health information on the web was through WeChat (77.0%, 7468/9704).</p></sec><sec sec-type="conclusions"><title>Conclusions</title><p>OHIS is prevalent in Chongqing. Further research could be performed based on the influencing factors identified herein and high-priority, effective ways of improving the OHIS behaviors of the Chongqing population.</p></sec></abstract><kwd-group><kwd>online health information seeking</kwd><kwd>health behavior</kwd><kwd>Chongqing</kwd><kwd>China</kwd><kwd>Internet</kwd></kwd-group></article-meta></front><body><sec id="s1" sec-type="intro"><title>Introduction</title><p>With rapid development, the internet has become a major source of health information worldwide. According to Internet World Stats [<xref ref-type="bibr" rid="ref1">1</xref>], there are 5 billion internet users, accounting for more than 60% of the world population. China also has a large population of internet users. In 2020, approximately 9.89 million Chinese people (70.4% of the Chinese population) had access to the internet [<xref ref-type="bibr" rid="ref2">2</xref>]. The internet hosts a tremendous amount and variety of health-related information that can be accessed at conveniently, anonymously, and at relatively low cost [<xref ref-type="bibr" rid="ref3">3</xref>,<xref ref-type="bibr" rid="ref4">4</xref>]. Among all health information sources, the internet has the highest usage rate [<xref ref-type="bibr" rid="ref5">5</xref>-<xref ref-type="bibr" rid="ref7">7</xref>]. Although certain groups still rely on traditional sources such as books and printed journals for health information [<xref ref-type="bibr" rid="ref8">8</xref>], web-based sources of health information are increasingly growing in popularity.</p><p>Various benefits of online health information&#x2013;seeking (OHIS) are well recognized. Patients turning to the internet before seeking medical consultations or diagnosis may help improve patient-doctor relationships, and patients are more inclined to trust their physicians&#x2019; advice when they are able to discuss the information they found on the web with their doctors [<xref ref-type="bibr" rid="ref9">9</xref>-<xref ref-type="bibr" rid="ref12">12</xref>]. As individuals aim to change their lifestyle or health behavior, the frequency of the use of the internet to retrieve health information is likely to increase [<xref ref-type="bibr" rid="ref13">13</xref>]. For people with chronic diseases, OHIS may help them manage their health condition [<xref ref-type="bibr" rid="ref14">14</xref>,<xref ref-type="bibr" rid="ref15">15</xref>]. However, OHIS seems to be a mixed blessing. Studies have reported that the overall quality of web-based health information is relatively low [<xref ref-type="bibr" rid="ref16">16</xref>-<xref ref-type="bibr" rid="ref18">18</xref>]. Information seekers are at risk of making hasty or dangerous health decisions based on questionable web-based information [<xref ref-type="bibr" rid="ref19">19</xref>]. In contrast to the information available in Western countries, low-quality web-based health information seems to be particularly prevalent in Asian countries [<xref ref-type="bibr" rid="ref20">20</xref>].</p><p>With the rapid development of the internet and its widespread use, OHIS has become a popular and important research topic. Research on OHIS has been reported in Western countries [<xref ref-type="bibr" rid="ref8">8</xref>,<xref ref-type="bibr" rid="ref14">14</xref>,<xref ref-type="bibr" rid="ref21">21</xref>] as well as low- and middle-income countries [<xref ref-type="bibr" rid="ref22">22</xref>-<xref ref-type="bibr" rid="ref24">24</xref>]. Various factors, such as age, gender, education, and internet usage, have been shown to affect the prevalence and extent of OHIS in previous studies [<xref ref-type="bibr" rid="ref13">13</xref>,<xref ref-type="bibr" rid="ref22">22</xref>,<xref ref-type="bibr" rid="ref25">25</xref>]. In addition, researchers have been interested in the topic of OHIS. A previous study also reported that various health topics are searched by web-based health information seekers. The most common topics searched on the internet are likely to fall under 2 categories: health behavior, such as nutrition or diet, exercise, and body maintenance; and medical concerns, including information related to disease, medications, and treatments [<xref ref-type="bibr" rid="ref11">11</xref>,<xref ref-type="bibr" rid="ref14">14</xref>,<xref ref-type="bibr" rid="ref22">22</xref>,<xref ref-type="bibr" rid="ref26">26</xref>]. In recent years, several academic studies on OHIS have collected evidence from high-income regions in eastern China, such as Zhejiang, Guangdong, and Hong Kong [<xref ref-type="bibr" rid="ref26">26</xref>-<xref ref-type="bibr" rid="ref30">30</xref>]. Western China, as a transitional region&#x2014;home to 27% of the national population with distinct socioeconomic and health care system characteristics&#x2014;remains critically underresearched [<xref ref-type="bibr" rid="ref31">31</xref>]. This knowledge gap limits our understanding of the situation of OHIS thoroughly in this vast country with uneven development. Chongqing, as the largest municipality in western China, embodies the region&#x2019;s characteristic &#x201C;urban-rural dual structure&#x201D; with more than a 60% urbanization rate and significant health resource disparities between metropolitan and rural areas [<xref ref-type="bibr" rid="ref32">32</xref>]. This metropolis is an ideal context for understanding situation of OHIS in western China.</p><p>The study objectives were to (1) determine the prevalence, common topics, and methods of OHIS in the Chongqing population and (2) identify the factors that influence the OHIS behaviors of this population. This research may help improve ways of promoting efficient and appropriate OHIS for users and harnessing the benefits of the internet as a source of health information.</p></sec><sec id="s2" sec-type="methods"><title>Methods</title><sec id="s2-1"><title>Study Design</title><p>From September to October 2021, Chongqing Health Education Institution and the Army Medical University carried out a web-based study to assess residents&#x2019; health care needs in Chongqing municipality. The target participants were Chongqing residents. A survey QR code was disseminated on popular Chinese social media applications such as WeChat for voluntary participation in our web-based survey, which was hosted on the Chinese Sojump site. The first page of the survey was a web-based consent form including study information. After reading the consent forms and indicating consent to participate in the survey, respondents were allowed to proceed. To avoid multiple submissions, only one submission per IP address was allowed. Ultimately, 14,466 participants were included in this study.</p></sec><sec id="s2-2"><title>Measures</title><p>This questionnaire included 2 parts: demographic characteristics and OHIS behaviors. Demographic characteristics included age, gender, education, occupation, ethnicity, and area of residence, gender, education, and ethnicity. Age was measured by asking participants to indicate their numeric age, and other variables were measured with multiple-choice questions. The part on OHIS behaviors were included three questions. The first one dealt addressed having experience with OHIS, wherein participants&#x2019; OHIS behavior was measured with a single question, &#x201C;Which sources are your main sources for seeking health information?&#x201D; The response options included books and journals, broadcasts, television, PCs (desktops and laptops), mobile phones, lectures, professional staff, and advertisements. Participants who chose PCs and/or mobile phones as their main sources for seeking health information were considered to have experience with OHIS. The second one addressed major health topics in OHIS: health topics that the participants searched on the internet were captured by a multiple-choice question with response options including health behavior and literacy (such as diet, fitness, exercise, and drug usage), infectious diseases, chronic disease, first aid, and health policies (such as medical insurance). Participants could select one or more answers as their major health topics when searching on the internet. The third one addressed the main method of OHIS: the main method of seeking health information on the web was measured with a single item with response options including WeChat, Weibo, search engines (such as Baidu and Google), websites, short-video apps (such as TikTok), and others. Participants could select one or more answers as their main method of seeking health information on the web.</p></sec><sec id="s2-3"><title>Ethical Considerations</title><p>The study was carried out in accordance with ethical principals and was approved by the ethics review board of the Army Medical University (2023-5-02). Participants provided informed consent. All participants&#x2019; information was anonymized. There was no financial compensation for patients or researchers nor any source of funding that could lead to a conflict of interest for the study.</p></sec><sec id="s2-4"><title>Statistical Analysis</title><p>All data were input into an Epidata database (version 3.1) after checking and correcting errors. SPSS (version 22.0; IBM Corp) was used for analyses. A descriptive analysis (frequencies, percentages, and means with SDs) of the participant characteristics was performed. The chi-square test was used to compare OHIS behaviors among groups. Multiple logistic regression models were used to assess the influencing factors associated with OHIS. Statistical significance was set to a <italic>P</italic> value of &#x003C;.05 (2-sided).</p></sec></sec><sec id="s3" sec-type="results"><title>Results</title><sec id="s3-1"><title>Sociodemographic Characteristics of the Study Sample</title><p>The demographic characteristics of the study sample are listed in <xref ref-type="table" rid="table1">Table 1</xref>. In total, 67.1% (9704/14,466) of the participants had OHIS experience. The average age was 46.2 (SD 18.0) years, while approximately half (51.8%, 7495/14,466) of the participants were younger than 45 years. More than half (52.0%, 7520/14,466) of the participants were female. Most participants (95.3%, 13,793/14,466) were of Han Chinese ethnicity. The percentage of participants residing in urban areas was 69.7% (10,090/14,466). Overall, 47.1% (6813/14,466) of participants were college graduates or had a higher level of education. The participants spanned all occupation groups.</p><p>As indicated in <xref ref-type="table" rid="table1">Table 1</xref>, OHIS experience significantly differed by age, ethnicity, area of residence, education and occupation (<italic>P</italic>&#x003C;.05) but not by gender.</p><table-wrap id="t1" position="float"><label>Table 1.</label><caption><p>Differences in the OHIS<sup><xref ref-type="table-fn" rid="table1fn1">a</xref></sup> characteristics of the respondents and their sociodemographic characteristics (N=14,466).</p></caption><table id="table1" frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom">Characteristics</td><td align="left" valign="bottom">Participants, n (%)</td><td align="left" valign="bottom">Respondents without OHIS experience, n (%)</td><td align="left" valign="bottom">Respondents with OHIS experience, n (%)</td><td align="left" valign="bottom"><italic>P</italic> value</td></tr></thead><tbody><tr><td align="left" valign="top"><bold>Age (years)</bold></td><td align="left" valign="top">&#x2003;</td><td align="left" valign="top">&#x2003;</td><td align="left" valign="top">&#x2003;</td><td align="left" valign="top">&#x2003;</td></tr><tr><td align="char" char="." valign="top">&#x2003;15&#x2010;45</td><td align="left" valign="top">7495 (51.8)</td><td align="left" valign="top">1208 (25.4)</td><td align="left" valign="top">6287 (64.8)</td><td align="left" valign="top">&#x003C;.001</td></tr><tr><td align="char" char="." valign="top">&#x2003;46&#x2010;60</td><td align="left" valign="top">3036 (21.0)</td><td align="left" valign="top">790 (16.6)</td><td align="left" valign="top">2246 (23.1)</td><td align="left" valign="top">&#x2003;</td></tr><tr><td align="char" char="." valign="top">&#x2003;61 or older</td><td align="left" valign="top">3935 (27.2)</td><td align="left" valign="top">2764 (58.0)</td><td align="left" valign="top">1171 (12.1)</td><td align="left" valign="top">&#x2003;</td></tr><tr><td align="left" valign="top"><bold>Gender</bold></td><td align="left" valign="top">&#x2003;</td><td align="left" valign="top">&#x2003;</td><td align="left" valign="top">&#x2003;</td><td align="left" valign="top">&#x2003;</td></tr><tr><td align="left" valign="top">&#x2003;Male</td><td align="left" valign="top">6946 (48.0)</td><td align="left" valign="top">2308 (48.5)</td><td align="left" valign="top">4638 (47.8)</td><td align="left" valign="top">.46</td></tr><tr><td align="left" valign="top">&#x2003;Female</td><td align="left" valign="top">7520 (52.0)</td><td align="left" valign="top">2454 (51.5)</td><td align="left" valign="top">5066 (52.2)</td><td align="left" valign="top">&#x2003;</td></tr><tr><td align="left" valign="top"><bold>Ethnicity</bold></td><td align="left" valign="top">&#x2003;</td><td align="left" valign="top">&#x2003;</td><td align="left" valign="top">&#x2003;</td><td align="left" valign="top">&#x2003;</td></tr><tr><td align="left" valign="top">&#x2003;Han Chinese</td><td align="left" valign="top">13,793 (95.3)</td><td align="left" valign="top">4513 (94.8)</td><td align="left" valign="top">9280 (95.6)</td><td align="left" valign="top">.02</td></tr><tr><td align="left" valign="top">&#x2003;Ethnic minority</td><td align="left" valign="top">673 (4.7)</td><td align="left" valign="top">249 (5.2)</td><td align="left" valign="top">424 (4.4)</td><td align="left" valign="top">&#x2003;</td></tr><tr><td align="left" valign="top"><bold>Area of residence</bold></td><td align="left" valign="top">&#x2003;</td><td align="left" valign="top">&#x2003;</td><td align="left" valign="top">&#x2003;</td><td align="left" valign="top">&#x2003;</td></tr><tr><td align="left" valign="top">&#x2003;Urban</td><td align="left" valign="top">10,090 (69.7)</td><td align="left" valign="top">2587 (54.3)</td><td align="left" valign="top">7503 (77.3)</td><td align="left" valign="top">&#x003C;.001</td></tr><tr><td align="left" valign="top">&#x2003;Rural</td><td align="left" valign="top">4376 (30.3)</td><td align="left" valign="top">2175 (45.7)</td><td align="left" valign="top">2201 (22.7)</td><td align="left" valign="top">&#x2003;</td></tr><tr><td align="left" valign="top"><bold>Education level</bold></td><td align="left" valign="top">&#x2003;</td><td align="left" valign="top">&#x2003;</td><td align="left" valign="top">&#x2003;</td><td align="left" valign="top">&#x2003;</td></tr><tr><td align="left" valign="top">&#x2003;Primary school or less</td><td align="left" valign="top">2998 (20.7)</td><td align="left" valign="top">2301 (48.3)</td><td align="left" valign="top">697 (7.2)</td><td align="left" valign="top">&#x003C;.001</td></tr><tr><td align="left" valign="top">&#x2003;Junior high school</td><td align="left" valign="top">2467 (17.1)</td><td align="left" valign="top">1020 (21.4)</td><td align="left" valign="top">1447 (14.9)</td><td align="left" valign="top">&#x2003;</td></tr><tr><td align="left" valign="top">&#x2003;Senior high school</td><td align="left" valign="top">2188 (15.1)</td><td align="left" valign="top">514 (10.8)</td><td align="left" valign="top">1674 (17.3)</td><td align="left" valign="top">&#x2003;</td></tr><tr><td align="left" valign="top">&#x2003;College graduate</td><td align="left" valign="top">6289 (43.5)</td><td align="left" valign="top">855 (18.0)</td><td align="left" valign="top">5434 (56.0)</td><td align="left" valign="top">&#x2003;</td></tr><tr><td align="left" valign="top">&#x2003;Postgraduate</td><td align="left" valign="top">524 (3.6)</td><td align="left" valign="top">72 (1.5)</td><td align="left" valign="top">452 (4.7)</td><td align="left" valign="top">&#x2003;</td></tr><tr><td align="left" valign="top"><bold>Occupation</bold></td><td align="left" valign="top">&#x2003;</td><td align="left" valign="top">&#x2003;</td><td align="left" valign="top">&#x2003;</td><td align="left" valign="top">&#x2003;</td></tr><tr><td align="left" valign="top">&#x2003;Civil servants</td><td align="left" valign="top">1669 (11.5)</td><td align="left" valign="top">253 (5.3)</td><td align="left" valign="top">1416 (14.6)</td><td align="left" valign="top">&#x003C;.001</td></tr><tr><td align="left" valign="top">&#x2003;Teachers</td><td align="left" valign="top">1208 (8.4)</td><td align="left" valign="top">150 (3.1)</td><td align="left" valign="top">1058 (10.9)</td><td align="left" valign="top">&#x2003;</td></tr><tr><td align="left" valign="top">&#x2003;Medical staff</td><td align="left" valign="top">1603 (11.1)</td><td align="left" valign="top">223 (4.7)</td><td align="left" valign="top">1380 (14.2)</td><td align="left" valign="top">&#x2003;</td></tr><tr><td align="left" valign="top">&#x2003;Staff in public institutions</td><td align="left" valign="top">969 (6.7)</td><td align="left" valign="top">175 (3.7)</td><td align="left" valign="top">794 (8.2)</td><td align="left" valign="top">&#x2003;</td></tr><tr><td align="left" valign="top">&#x2003;Students</td><td align="left" valign="top">887 (6.1)</td><td align="left" valign="top">171 (3.6)</td><td align="left" valign="top">716 (7.4)</td><td align="left" valign="top">&#x2003;</td></tr><tr><td align="left" valign="top">&#x2003;Farmers</td><td align="left" valign="top">3317 (22.9)</td><td align="left" valign="top">2266 (47.6)</td><td align="left" valign="top">1051 (10.8)</td><td align="left" valign="top">&#x2003;</td></tr><tr><td align="left" valign="top">&#x2003;Workers</td><td align="left" valign="top">1180 (8.2)</td><td align="left" valign="top">407 (8.5)</td><td align="left" valign="top">773 (8.0)</td><td align="left" valign="top">&#x2003;</td></tr><tr><td align="left" valign="top">&#x2003;Enterprise personnel</td><td align="left" valign="top">1250 (8.6)</td><td align="left" valign="top">238 (5.0)</td><td align="left" valign="top">1012 (10.4)</td><td align="left" valign="top">&#x2003;</td></tr><tr><td align="left" valign="top">&#x2003;Others</td><td align="left" valign="top">2383 (16.5)</td><td align="left" valign="top">879 (18.5)</td><td align="left" valign="top">1504 (15.5)</td><td align="left" valign="top">&#x2003;</td></tr></tbody></table><table-wrap-foot><fn id="table1fn1"><p><sup>a</sup>OHIS: online health information&#x2013;seeking.</p></fn></table-wrap-foot></table-wrap></sec><sec id="s3-2"><title>Multivariate Logistic Regression Analysis of Risk Factors Associated With the Rate of Health Literacy Knowledge</title><p>The variables with statistical significance in the chi-square test (<xref ref-type="table" rid="table1">Table 1</xref>) were analyzed using multivariate logistic regression. As shown in <xref ref-type="table" rid="table2">Table 2</xref>, participants aged 46&#x2010;60 years (odds ratio [OR] 0.782, 95% CI 0.695-0.880) or more than 61 years (OR 0.298, 95% CI 0.260-0.341) were less likely to have OHIS experience than those younger than 20 years. Participants who belonged to ethnic minorities (OR 0.621, 95% CI 0.513-0.752) were less likely to have OHIS experience than Han Chinese participants. Participants from rural areas (OR 0.815, 95% CI 0.734-0.906) were less likely to have OHIS experience than urban participants. Compared to the respondents with primary school education and below, those with junior high school education (OR 2.290, 95% CI 2.000-2.622), senior high school education (OR 3.274, 95% CI 2.765-3.877), college graduate degrees (OR 5.012, 95% CI 4.163-6.033), and postgraduate education (OR 4.809, 95% CI 3.442-6.720) were more likely to have OHIS experience. Based on the participants&#x2019; occupation, compared to civil servants, teachers (OR 1.407, 95% CI 1.118-1.770) and medical staff (OR 1.359, 95% CI 1.098-1.683) were more likely to seek health information on the web, while farmers (OR 0.656, 95% CI 0.525-0.820) were less likely to seek health information on the internet.</p><table-wrap id="t2" position="float"><label>Table 2.</label><caption><p>Multivariate logistic regression analysis of the factors associated with OHIS<sup><xref ref-type="table-fn" rid="table2fn1">a</xref></sup> in participants.</p></caption><table id="table2" frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom">Characteristics</td><td align="left" valign="bottom">OR<sup><xref ref-type="table-fn" rid="table2fn2">b</xref></sup></td><td align="left" valign="bottom">95% CI</td><td align="left" valign="bottom"><italic>P</italic> value</td></tr></thead><tbody><tr><td align="left" valign="top"><bold>Age (years)</bold></td><td align="left" valign="top">&#x2003;</td><td align="left" valign="top">&#x2003;</td><td align="left" valign="top">&#x2003;</td></tr><tr><td align="char" char="." valign="top">&#x2003;15&#x2010;45</td><td align="left" valign="top">1<sup><xref ref-type="table-fn" rid="table2fn3">c</xref></sup></td><td align="left" valign="top">&#x2003;&#x2014;<sup><xref ref-type="table-fn" rid="table2fn4">d</xref></sup></td><td align="left" valign="top">&#x2003;&#x2014;</td></tr><tr><td align="char" char="." valign="top">&#x2003;46&#x2010;60</td><td align="left" valign="top">0.782</td><td align="left" valign="top">0.695&#x2010;0.880</td><td align="left" valign="top">&#x003C;.001</td></tr><tr><td align="char" char="." valign="top">&#x2003;61 or older</td><td align="left" valign="top">0.298</td><td align="left" valign="top">0.260&#x2010;0.341</td><td align="left" valign="top">&#x003C;.001</td></tr><tr><td align="left" valign="top"><bold>Gender</bold></td><td align="left" valign="top">&#x2003;</td><td align="left" valign="top">&#x2003;</td><td align="left" valign="top">&#x2003;</td></tr><tr><td align="left" valign="top">&#x2003;Male</td><td align="left" valign="top">1</td><td align="left" valign="top">&#x2003;&#x2014;</td><td align="left" valign="top">&#x2003;&#x2014;</td></tr><tr><td align="left" valign="top">&#x2003;Female</td><td align="left" valign="top">0.950</td><td align="left" valign="top">0.871&#x2010;1.036</td><td align="left" valign="top">.24</td></tr><tr><td align="left" valign="top"><bold>Ethnicity</bold></td><td align="left" valign="top">&#x2003;</td><td align="left" valign="top">&#x2003;</td><td align="left" valign="top">&#x2003;</td></tr><tr><td align="left" valign="top">&#x2003;Han Chinese</td><td align="left" valign="top">1</td><td align="left" valign="top">&#x2003;&#x2014;</td><td align="left" valign="top">&#x2003;&#x2014;</td></tr><tr><td align="left" valign="top">&#x2003;Ethnic minority</td><td align="left" valign="top">0.621</td><td align="left" valign="top">0.513&#x2010;0.752</td><td align="left" valign="top">&#x003C;.001</td></tr><tr><td align="left" valign="top"><bold>Area of residence</bold></td><td align="left" valign="top">&#x2003;</td><td align="left" valign="top">&#x2003;</td><td align="left" valign="top">&#x2003;</td></tr><tr><td align="left" valign="top">&#x2003;Urban</td><td align="left" valign="top">1</td><td align="left" valign="top">&#x2003;&#x2014;</td><td align="left" valign="top">&#x2003;&#x2014;</td></tr><tr><td align="left" valign="top">&#x2003;Rural</td><td align="left" valign="top">0.815</td><td align="left" valign="top">0.734&#x2010;0.906</td><td align="left" valign="top">&#x003C;.001</td></tr><tr><td align="left" valign="top"><bold>Education</bold></td><td align="left" valign="top">&#x2003;</td><td align="left" valign="top">&#x2003;</td><td align="left" valign="top">&#x2003;</td></tr><tr><td align="left" valign="top">&#x2003;Primary school or less</td><td align="left" valign="top">1</td><td align="left" valign="top">&#x2003;&#x2014;</td><td align="left" valign="top">&#x2003;&#x2014;</td></tr><tr><td align="left" valign="top">&#x2003;Junior high school</td><td align="left" valign="top">2.290</td><td align="left" valign="top">2.000&#x2010;2.622</td><td align="left" valign="top">&#x003C;.001</td></tr><tr><td align="left" valign="top">&#x2003;Senior high school</td><td align="left" valign="top">3.274</td><td align="left" valign="top">2.765&#x2010;3.877</td><td align="left" valign="top">&#x003C;.001</td></tr><tr><td align="left" valign="top">&#x2003;College graduate</td><td align="left" valign="top">5.012</td><td align="left" valign="top">4.163&#x2010;6.033</td><td align="left" valign="top">&#x003C;.001</td></tr><tr><td align="left" valign="top">&#x2003;Postgraduate</td><td align="left" valign="top">4.809</td><td align="left" valign="top">3.442&#x2010;6.720</td><td align="left" valign="top">&#x003C;.001</td></tr><tr><td align="left" valign="top"><bold>Occupation</bold></td><td align="left" valign="top">&#x2003;</td><td align="left" valign="top">&#x2003;</td><td align="left" valign="top">&#x2003;</td></tr><tr><td align="left" valign="top">&#x2003;Civil servants</td><td align="left" valign="top">1</td><td align="left" valign="top">&#x2003;&#x2014;</td><td align="left" valign="top">&#x2003;&#x2014;</td></tr><tr><td align="left" valign="top">&#x2003;Teachers</td><td align="left" valign="top">1.407</td><td align="left" valign="top">1.118&#x2010;1.770</td><td align="left" valign="top">.004</td></tr><tr><td align="left" valign="top">&#x2003;Medical staff</td><td align="left" valign="top">1.359</td><td align="left" valign="top">1.098&#x2010;1.683</td><td align="left" valign="top">.005</td></tr><tr><td align="left" valign="top">&#x2003;Staff in public institution</td><td align="left" valign="top">1.100</td><td align="left" valign="top">0.872&#x2010;1.837</td><td align="left" valign="top">.421</td></tr><tr><td align="left" valign="top">&#x2003;Students</td><td align="left" valign="top">1.279</td><td align="left" valign="top">0.979&#x2010;1.672</td><td align="left" valign="top">.072</td></tr><tr><td align="left" valign="top">&#x2003;Farmers</td><td align="left" valign="top">0.656</td><td align="left" valign="top">0.525&#x2010;0.820</td><td align="left" valign="top">&#x003C;.001</td></tr><tr><td align="left" valign="top">&#x2003;Workers</td><td align="left" valign="top">0.905</td><td align="left" valign="top">0.721&#x2010;1.135</td><td align="left" valign="top">.385</td></tr><tr><td align="left" valign="top">&#x2003;Enterprise personnel</td><td align="left" valign="top">1.052</td><td align="left" valign="top">0.843&#x2010;1.313</td><td align="left" valign="top">.652</td></tr><tr><td align="left" valign="top">&#x2003;Others</td><td align="left" valign="top">1.035</td><td align="left" valign="top">0.843&#x2010;1.272</td><td align="left" valign="top">.740</td></tr></tbody></table><table-wrap-foot><fn id="table2fn1"><p><sup>a</sup>OHIS: online health information&#x2013;seeking.</p></fn><fn id="table2fn2"><p><sup>b</sup>OR: odds ratio.</p></fn><fn id="table2fn3"><p><sup>c</sup>Reference variable.</p></fn><fn id="table2fn4"><p><sup>d</sup>Not applicable.</p></fn></table-wrap-foot></table-wrap></sec><sec id="s3-3"><title>Health Topics Searched on the Internet by Participants With OHIS Experience</title><p><xref ref-type="table" rid="table3">Table 3</xref> shows the health topics searched on the internet by the study participants. Most of the participants (8483/9704, 87.4%) indicated that they sought information about health behavior and literacy. More than three-quarters of the participants used the internet to find information about infectious diseases (78.6%, 7628/9704), chronic diseases (76.0%, 7375/9704), and first aid (75.0%, 7277/9704). More than half (58.6%, 5688/9704) of the participants searched for health policy information on the web.</p><table-wrap id="t3" position="float"><label>Table 3.</label><caption><p>Common health topics searched on the internet by participants with OHIS<sup><xref ref-type="table-fn" rid="table3fn1">a</xref></sup> experience (N=9704).</p></caption><table id="table3" frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom">Topics</td><td align="left" valign="bottom">Participants, n (%)</td></tr></thead><tbody><tr><td align="left" valign="top">Health behavior and literacy</td><td align="left" valign="top">8483 (87.4)</td></tr><tr><td align="left" valign="top">Infectious diseases</td><td align="left" valign="top">7628 (78.6)</td></tr><tr><td align="left" valign="top">Chronic disease</td><td align="left" valign="top">7375 (76.0)</td></tr><tr><td align="left" valign="top">First aid</td><td align="left" valign="top">7277 (75.0)</td></tr><tr><td align="left" valign="top">Health policies</td><td align="left" valign="top">5688 (58.6)</td></tr></tbody></table><table-wrap-foot><fn id="table3fn1"><p><sup>a</sup>OHIS: online health information&#x2013;seeking.</p></fn></table-wrap-foot></table-wrap></sec><sec id="s3-4"><title>Sources of Web-Based Health Information Among Participants With OHIS Experience</title><p>Participants reported 1 or more different sources of health information that they sought on the web. The majority of participants (7468/9704, 77.0%) used WeChat. More than half of the participants indicated that search engines (5547/9704, 57.2%) and short-video apps (5359/9704, 55.2%) were their main sources. A total of 4079 out of 9704 (42.0%) participants used Weibo. Websites and web-based courses were used for seeking health information on the web by 36.3% (3527/9704) and 31.3% (3034/9704) of participants, respectively. The prevalence of the source of web-based health information among the participants with OHIS experience is shown in <xref ref-type="table" rid="table4">Table 4</xref>.</p><table-wrap id="t4" position="float"><label>Table 4.</label><caption><p>Source of online health information among the participants with OHIS experience (N=9704).</p></caption><table id="table4" frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom">Sources</td><td align="left" valign="bottom">Participants, n (%)</td></tr></thead><tbody><tr><td align="left" valign="top">WeChat</td><td align="left" valign="top">7468 (77.0)</td></tr><tr><td align="left" valign="top">Weibo</td><td align="left" valign="top">4079 (42.0)</td></tr><tr><td align="left" valign="top">Search engines</td><td align="left" valign="top">5547 (57.2)</td></tr><tr><td align="left" valign="top">Websites</td><td align="left" valign="top">3527 (36.3)</td></tr><tr><td align="left" valign="top">Web-based courses</td><td align="left" valign="top">3034 (31.3)</td></tr><tr><td align="left" valign="top">Short-video apps</td><td align="left" valign="top">5359 (55.2)</td></tr><tr><td align="left" valign="top">Others</td><td align="left" valign="top">418 (4.3)</td></tr></tbody></table><table-wrap-foot><fn id="table4fn1"><p><sup>a</sup>OHIS: online health information&#x2013;seeking.</p></fn></table-wrap-foot></table-wrap></sec></sec><sec id="s4" sec-type="discussion"><title>Discussion</title><sec id="s4-1"><title>Principal Findings</title><p>In this study, more than 67% of participants sought health information on the internet, which is similar to recent studies reporting extensive internet use and highly prevalent OHIS [<xref ref-type="bibr" rid="ref22">22</xref>,<xref ref-type="bibr" rid="ref24">24</xref>,<xref ref-type="bibr" rid="ref26">26</xref>,<xref ref-type="bibr" rid="ref33">33</xref>]. The internet has the highest usage rate among health information sources [<xref ref-type="bibr" rid="ref5">5</xref>-<xref ref-type="bibr" rid="ref7">7</xref>]. The results from our study suggested that among the Chongqing population, the internet has become a major source for seeking health information, which is consistent with other reports. How to provide more high-quality health information on the web may be a key objective for public health policies and practices in Chongqing.</p><p>In this study, younger participants were more likely to seek health information on the web than older participants. Similar results were also reported in some previous studies [<xref ref-type="bibr" rid="ref22">22</xref>,<xref ref-type="bibr" rid="ref30">30</xref>,<xref ref-type="bibr" rid="ref33">33</xref>,<xref ref-type="bibr" rid="ref34">34</xref>]. IT, including health IT, is usually accessible for younger generations [<xref ref-type="bibr" rid="ref35">35</xref>]. Therefore, younger populations may more frequently seek health information on the internet.</p><p>We also found evidence of disparities in OHIS by ethnicity in Chongqing. This result was similar to those of previous studies showing that racial or ethnic minorities were less likely to use web-based resources to seek health information [<xref ref-type="bibr" rid="ref33">33</xref>,<xref ref-type="bibr" rid="ref36">36</xref>,<xref ref-type="bibr" rid="ref37">37</xref>]. A possible reason may be that di&#xFB00;erences in cultural values, care preferences, and perceived bene&#xFB01;ts of web-based health information likely contributed to these di&#xFB00;erential rates of use [<xref ref-type="bibr" rid="ref36">36</xref>-<xref ref-type="bibr" rid="ref38">38</xref>]. Previous research has shown that health communication in a multicultural society mainly takes the dominant culture into account, often neglecting those of nondominant groups [<xref ref-type="bibr" rid="ref39">39</xref>-<xref ref-type="bibr" rid="ref41">41</xref>]. In China, Han is the dominant ethnicity. This is likely secondary in part to the limited availability of web-based sources such as health-related websites and patient-provider portals in ethnic minorities other than the majority [<xref ref-type="bibr" rid="ref42">42</xref>]. In Chongqing, the population of ethnic minorities is more than 2 million [<xref ref-type="bibr" rid="ref32">32</xref>]. Considering the benefits of OHIS, providing web-based health information that is suitable for racial or ethnic minorities may contribute to health improvement in the multiethnic region.</p><p>Participants who lived in urban areas were more likely to use the internet to seek health information. This result corroborates previous findings that the urban population had a higher rate of OHIS [<xref ref-type="bibr" rid="ref33">33</xref>,<xref ref-type="bibr" rid="ref34">34</xref>,<xref ref-type="bibr" rid="ref43">43</xref>,<xref ref-type="bibr" rid="ref44">44</xref>]. A possible reason may be the digital divide between the urban and rural participants in this study. Although there are more than 1 billion netizens in China, people living in urban areas more easily access the internet [<xref ref-type="bibr" rid="ref45">45</xref>]. Goldner et al [<xref ref-type="bibr" rid="ref44">44</xref>] reported that lower internet access was associated with fewer web-based health behaviors. Therefore, eliminating the digital divide may help the rural population benefit from these resources.</p><p>In this study, a higher education level was associated with the highest odds of OHIS among the Chongqing population. This finding was in line with those of previous studies [<xref ref-type="bibr" rid="ref22">22</xref>,<xref ref-type="bibr" rid="ref27">27</xref>,<xref ref-type="bibr" rid="ref29">29</xref>,<xref ref-type="bibr" rid="ref30">30</xref>,<xref ref-type="bibr" rid="ref33">33</xref>,<xref ref-type="bibr" rid="ref34">34</xref>,<xref ref-type="bibr" rid="ref38">38</xref>]. Seeking health information on the web requires not only access to technology but also the ability to retrieve, understand, and use information [<xref ref-type="bibr" rid="ref46">46</xref>]. In addition, the vast majority of web-based patient resources contain health information that is above the reading level of most users [<xref ref-type="bibr" rid="ref47">47</xref>,<xref ref-type="bibr" rid="ref48">48</xref>]. Although a substantial proportion of lesser educated individuals have signi&#xFB01;cant health care needs, they often encounter di&#xFB03;culties in &#xFB01;nding acceptable information on the web [<xref ref-type="bibr" rid="ref49">49</xref>]. Continued e&#xFB00;orts to ensure that web-based health information is easy to read, understand, and retrieve are needed.</p><p>We also found that occupation was associated with the rate of OHIS behavior. In this study, participants who were medical staff or teachers were more likely to use the internet to seek health information. The reason may be that medical staff and teachers more often have higher education levels, higher socioeconomic status, and easier access to web-based resources. In addition, due to their duties, medical staff and teachers often conduct health education for patients and students, and the internet has a tremendous amount and variety of health-related information [<xref ref-type="bibr" rid="ref3">3</xref>,<xref ref-type="bibr" rid="ref4">4</xref>]. Therefore, they may have a higher ability and willingness to seek health information on the internet [<xref ref-type="bibr" rid="ref50">50</xref>]. Farmers in our study were less likely to use web-based sources for seeking health information. This finding was similar to that of a previous study in Zhejiang province [<xref ref-type="bibr" rid="ref29">29</xref>]. Farmers always live in rural areas. Due to the digital divide between urban and rural areas, farmers may have more difficulty accessing the internet [<xref ref-type="bibr" rid="ref44">44</xref>,<xref ref-type="bibr" rid="ref45">45</xref>].</p><p>In this study, participants reported seeking web-based health information for a broad range of health topics, including health behavior and literacy, infectious diseases, chronic disease, first aid, and health policies. Health behavior and literacy are the most common topics searched on the internet. This finding is similar to those of previous studies in which health behavior, lifestyle, and health science popularization were most commonly searched for types of web-based health information among the Chinese general or younger population [<xref ref-type="bibr" rid="ref27">27</xref>,<xref ref-type="bibr" rid="ref28">28</xref>]. In recent years, the Chinese government has tended to use social media to improve public health literacy and health status among Chinese citizens and has encouraged the dissemination of health science popularization information in various ways [<xref ref-type="bibr" rid="ref51">51</xref>-<xref ref-type="bibr" rid="ref53">53</xref>]. The increasing popularity of social media and the ever-growing number of official accounts of health science popularization might have attracted many Chinese netizens to use such information to improve their health behavior and literacy.</p><p>We found that WeChat was the most commonly used source for OHIS on the internet. A previous study reported that the number of WeChat customers has exceeded 900 million, with 150 million customers using the web for at least 2 hours every day [<xref ref-type="bibr" rid="ref54">54</xref>]. A nationwide survey in China found that one-third of participants regularly read health information articles on WeChat, and more than 90% of the participants chose to use WeChat for health information seeking, indicating that a WeChat account is the most popular platform for acquiring health information in China [<xref ref-type="bibr" rid="ref55">55</xref>]. However, due to growing OHIS behaviors, increasing numbers of nonauthorized social media accounts share biased or inaccurate health information; continued e&#xFB00;orts are needed to improve the quality of health information on social media [<xref ref-type="bibr" rid="ref56">56</xref>-<xref ref-type="bibr" rid="ref58">58</xref>]. Improving perceived eHealth literacy among netizens and feedback-seeking behavior in digital environments would be useful to increase OHIS, and may finally help to improve public health among Chongqing Population [<xref ref-type="bibr" rid="ref59">59</xref>,<xref ref-type="bibr" rid="ref60">60</xref>].</p></sec><sec id="s4-2"><title>Limitations</title><p>This study has several limitations. First, this study was conducted in Chongqing, and the results may not be generalizable to the general population in China. Second, due to the nature of a cross-sectional survey, it is difficult to draw causal conclusions. Third, as a hot topic of OHIS in this study, failing to examine the effect of the COVID-19 on OHIS was a significant study limitation.</p></sec><sec id="s4-3"><title>Conclusion</title><p>In summary, OHIS is prevalent in Chongqing. We found that participants who were younger, lived in an urban area, had a higher educational level, and worked as medical staff or teachers were more likely to engage in OHIS, while ethnic minorities and farmers were less likely to seek health information on the web. Among the Chongqing population, the most common topics sought on the internet were health behavior and literacy, and the most popular method of OHIS was through WeChat. According to the identified influencing factors, future research could focus on bridging the digital divide between urban and rural areas, providing higher-quality web-based health information, and examining cultural barriers to health information access among ethnic minority groups. These efforts may help to enhance Chongqing residents&#x2019; ability to obtain web-based health resources and ultimately improve public health outcomes.</p></sec></sec></body><back><ack><p>Ji-an Chen and Qinghua Yang are co-corresponding authors, the latter of which can be contacted using the following information: phone number 86 02367168619 and email address 914543700@qq.com. We acknowledge all participants in the study.</p></ack><notes><sec><title>Data Availability</title><p>The datasets used and analyzed during this study are available from the corresponding author on reasonable request.</p></sec></notes><fn-group><fn fn-type="con"><p>Conceptualization: HR, J-aC, and QY</p><p>Data collection: TG, XL, YL, and HR</p><p>Data curation: HR, LL, and DY</p><p>Formal analysis: LL, HR, and LZ</p><p>Investigation: TG, XL, YL, HR, and LL</p><p>Methodology: HR, J-aC, and LL</p><p>Software: EL, LZ, FL, and DY</p><p>Supervision: J-aC</p><p>Validation: TG, QT, and FL</p><p>Visualization: LL and HR</p><p>Writing&#x2014;original draft: LL and HR</p><p>Writing&#x2014;review and editing: LL, CZ, FL, and TL</p></fn><fn fn-type="conflict"><p>None declared.</p></fn></fn-group><glossary><title>Abbreviations</title><def-list><def-item><term id="abb1">OHIS</term><def><p>online health information&#x2013;seeking</p></def></def-item><def-item><term id="abb2">OR</term><def><p>odds 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