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<article article-type="research-article" dtd-version="2.0" xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">JMIR</journal-id>
      <journal-id journal-id-type="nlm-ta">J Med Internet Res</journal-id>
      <journal-title>Journal of Medical Internet Research</journal-title>
      <issn pub-type="epub">1438-8871</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">v27i1e69366</article-id>
      <article-id pub-id-type="pmid">40478622</article-id>
      <article-id pub-id-type="doi">10.2196/69366</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Original Paper</subject>
        </subj-group>
        <subj-group subj-group-type="article-type">
          <subject>Original Paper</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Gender-Based Differences in X Usage Among Orthopedic Surgeons at Top-Ranked US Hospitals: Cross-Sectional Analysis</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="editor">
          <name>
            <surname>Mavragani</surname>
            <given-names>Amaryllis</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Olalere</surname>
            <given-names>Saidi</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Iwunwa</surname>
            <given-names>Mary-Gloria Chidiebere</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib id="contrib1" contrib-type="author">
          <name name-style="western">
            <surname>Gasho</surname>
            <given-names>Jordan O</given-names>
          </name>
          <degrees>BS</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0003-4852-3161</ext-link>
        </contrib>
        <contrib id="contrib2" contrib-type="author">
          <name name-style="western">
            <surname>Tobert</surname>
            <given-names>Daniel G</given-names>
          </name>
          <degrees>MD</degrees>
          <xref rid="aff2" ref-type="aff">2</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0001-6168-0175</ext-link>
        </contrib>
        <contrib id="contrib3" contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Atkins</surname>
            <given-names>Katelyn M</given-names>
          </name>
          <degrees>MD, PhD</degrees>
          <xref rid="aff3" ref-type="aff">3</xref>
          <address>
            <institution/>
            <institution>Cedars-Sinai Medical Center</institution>
            <addr-line>8700 Beverly Blvd</addr-line>
            <addr-line>Los Angeles, CA, 90048</addr-line>
            <country>United States</country>
            <phone>1 310 423 2178</phone>
            <fax>1 310 659 3332</fax>
            <email>katelyn.atkins@cshs.org</email>
          </address>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-3165-4803</ext-link>
        </contrib>
      </contrib-group>
      <aff id="aff1">
        <label>1</label>
        <institution>Keck School of Medicine of USC</institution>
        <addr-line>Los Angeles, CA</addr-line>
        <country>United States</country>
      </aff>
      <aff id="aff2">
        <label>2</label>
        <institution>Massachusetts General Hospital</institution>
        <addr-line>Boston, MA</addr-line>
        <country>United States</country>
      </aff>
      <aff id="aff3">
        <label>3</label>
        <institution>Cedars-Sinai Medical Center</institution>
        <addr-line>Los Angeles, CA</addr-line>
        <country>United States</country>
      </aff>
      <author-notes>
        <corresp>Corresponding Author: Katelyn M Atkins <email>katelyn.atkins@cshs.org</email></corresp>
      </author-notes>
      <pub-date pub-type="collection">
        <year>2025</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>6</day>
        <month>6</month>
        <year>2025</year>
      </pub-date>
      <volume>27</volume>
      <elocation-id>e69366</elocation-id>
      <history>
        <date date-type="received">
          <day>27</day>
          <month>11</month>
          <year>2024</year>
        </date>
        <date date-type="rev-request">
          <day>8</day>
          <month>1</month>
          <year>2025</year>
        </date>
        <date date-type="rev-recd">
          <day>8</day>
          <month>3</month>
          <year>2025</year>
        </date>
        <date date-type="accepted">
          <day>3</day>
          <month>4</month>
          <year>2025</year>
        </date>
      </history>
      <copyright-statement>©Jordan O Gasho, Daniel G Tobert, Katelyn M Atkins. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 06.06.2025.</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 (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research (ISSN 1438-8871), is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.</p>
      </license>
      <self-uri xlink:href="https://www.jmir.org/2025/1/e69366" xlink:type="simple"/>
      <abstract>
        <sec sec-type="background">
          <title>Background</title>
          <p>Gender disparities in academic medicine persist, particularly in male-dominated fields such as orthopedic surgery. Social media platforms are reshaping academic communication, although data describing gender differences in use and engagement are limited.</p>
        </sec>
        <sec sec-type="objective">
          <title>Objective</title>
          <p>This study aims to examine gender differences by X (formerly known as Twitter) use among orthopedic surgeons, including variations in engagement, content, and influence.</p>
        </sec>
        <sec sec-type="methods">
          <title>Methods</title>
          <p>This cross-sectional study evaluated publicly available data from the 2023 US News and World Report top 20 hospitals for orthopedic surgery. Demographic data, apparent gender (binary), and public X data were collected.</p>
        </sec>
        <sec sec-type="results">
          <title>Results</title>
          <p>Of 1327 orthopedic surgeons, 25% (332/1327) were on X. X users were more likely to hold leadership roles (<italic>P</italic>&lt;.001), higher faculty appointments (<italic>P</italic>&lt;.001), and additional advanced degrees (<italic>P</italic>=.007). Women X users (vs men) were less likely to be full professors (12% vs 20%; <italic>P</italic>=.04). While women (vs men) had similar numbers of followers, following, and posts (<italic>P</italic>&gt;.05), women liked more posts (median 242 vs 35, <italic>P</italic>=.006). On thematic analysis of biographical content, women were more likely to mention being a parent, spouse, or their hobbies and interests (24.4% vs 12.1%; <italic>P</italic>=.048).</p>
        </sec>
        <sec sec-type="conclusions">
          <title>Conclusions</title>
          <p>Orthopedic surgeons on X were more likely to have higher academic rank, leadership titles, and dual degrees, although gender disparities persisted with women X users harboring lower rates of full professorship. Women orthopedic surgeons were more actively engaged with other posts on X. The motivation behind these trends is worthy of further study.</p>
        </sec>
      </abstract>
      <kwd-group>
        <kwd>social media</kwd>
        <kwd>X (Twitter)</kwd>
        <kwd>gender disparities</kwd>
        <kwd>orthopedic surgery</kwd>
        <kwd>physician workforce disparities</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec sec-type="introduction">
      <title>Introduction</title>
      <p>Women comprise more than half of medical students since 2019, but gender differences in promotion, tenure, and satisfaction in academic medicine persist [<xref ref-type="bibr" rid="ref1">1</xref>]. According to the 2024 Association of American Medical Colleges report, women comprise 52% of medical graduates, 29% of full professors, and only 25% of department chairs [<xref ref-type="bibr" rid="ref2">2</xref>]. These differences are particularly pronounced in orthopedic surgery, where women comprise 18% of the academic workforce (the lowest amongst all medical specialties), but hold only 9% of higher professorial ranks (including one department chair in 2016), and lag behind other specialties in increasing representation of women [<xref ref-type="bibr" rid="ref3">3</xref>]. This dearth of women in top academic positions suggests a leaky pipeline, which in most cases begins after training and declines with each promotion.</p>
      <p>Social media, particularly the platform X (formerly known as Twitter), is being increasingly used in professional settings. Relevant hashtags and retweets connect geographically distant individuals, enabling greater dissemination of research, enhancing digital scholarship, and building relationships [<xref ref-type="bibr" rid="ref4">4</xref>-<xref ref-type="bibr" rid="ref6">6</xref>]. Among orthopedists, hashtags such as #OrthoTwitter and #womeninortho have been developed to facilitate a social media community for education, networking, and professional development [<xref ref-type="bibr" rid="ref7">7</xref>-<xref ref-type="bibr" rid="ref9">9</xref>]. However, despite the professional popularity of X, there is a paucity of data on X usage and whether gender disparities persist in social media orthopedic surgery communities (such as X). Given the underrepresentation of women in orthopedic surgery, coupled with social media’s expanding professional reach, studies examining gender disparities in social media use and the workforce are essential. This study aims to examine gender differences by X use among orthopedic surgeons, as well as gender differences in X engagement, content, and influence.</p>
    </sec>
    <sec sec-type="methods">
      <title>Methods</title>
      <sec>
        <title>Data Acquisition</title>
        <p>The 20 best hospitals for orthopedic surgery were identified according to the 2023 US News and World Report rankings. Institutional websites and related faculty profiles were accessed from February 2024 to June 2024 to identify residency-trained orthopedic surgeons. Nonoperative sports medicine practitioners were excluded. Available faculty demographic data were collected, including geographical region, training dates, degrees received, and faculty appointments. Apparent gender (binary) was assigned using name, pronouns, and public profile images. For X information, publicly available data (eg, number of followers, following, likes, posts, account creation date, and biography) were manually extracted. Personal profiles and private accounts were excluded. Data was collected by a single investigator (JOG).</p>
      </sec>
      <sec>
        <title>Data Analysis</title>
        <p>Length of training was defined as years of training since medical school graduation. To assess the thematic content of X profile biographies, text was classified based on mentioning one or more themes, including job roles, specialty, and personal information, which included mentions of parent, spouse, or personal interests. The characteristics of orthopedic surgeons were assessed based on X use and by gender among X users. Descriptive statistics included the Wilcoxon rank-sum test for continuous variables and the chi-square or Fisher exact test for categorical variables. Statistical analyses were performed using StataSE (version 17.0; StataCorp) with 2-sided tests at a significance level of .05.</p>
      </sec>
      <sec>
        <title>Ethical Considerations</title>
        <p>This cross-sectional study evaluated publicly available data and was exempt from ethical approval according to the Cedars-Sinai Medical Center institutional review board (STUDY00003292). The STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) reporting guidelines were followed.</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <p>A total of 1327 orthopedic surgeon profiles were analyzed, of which 330 (24.9%) were on X (<xref ref-type="table" rid="table1">Table 1</xref>). Compared with nonusers, X users were more likely to be geographically located in the Northeast (148/330, 44.9% vs 364/997, 36.5%; <italic>P</italic>&lt;.001), hold leadership titles (<italic>P</italic>&lt;.001), higher faculty appointments (<italic>P</italic>&lt;.001), additional advanced degrees (<italic>P</italic>=.007), and have fewer years in practice since medical school completion (<italic>P</italic>=.02). Among X users, women (vs men) were less likely to be full professors (5/41, 12.2% vs 57/289, 19.7%; <italic>P</italic>=.04), although there was no significant difference in geographic location, leadership titles, or dual degree status (<italic>P</italic>&gt;.05; <xref ref-type="table" rid="table2">Table 2</xref>).</p>
      <p>While women (vs men) had similar numbers of followers, following, and posts (<italic>P</italic>&gt;.05), women had higher levels of self-engagement in the form of liking more posts (median 242 vs 35, <italic>P</italic>=.006). On thematic analysis of X profile biographies, women (vs men) were more likely to mention personal information including being a parent, spouse, hobbies, or interests (10/41, 24.4% vs 35/289, 12.1%; <italic>P</italic>=.048), while men (vs women) were more likely to mention their job or specialty (270/289, 93.4% vs 34/41, 82.9%; <italic>P</italic>=.02).</p>
      <table-wrap position="float" id="table1">
        <label>Table 1</label>
        <caption>
          <p>Baseline characteristics stratified by X use.</p>
        </caption>
        <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
          <col width="30"/>
          <col width="300"/>
          <col width="250"/>
          <col width="250"/>
          <col width="0"/>
          <col width="170"/>
          <thead>
            <tr valign="top">
              <td colspan="2">Variables</td>
              <td>Not on X (n=997)</td>
              <td>On X (n=330)</td>
              <td colspan="2"><italic>P</italic> value<sup>a</sup></td>
            </tr>
          </thead>
          <tbody>
            <tr valign="top">
              <td colspan="5">
                <bold>Geographic region, n (%)</bold>
              </td>
              <td>&lt;.001</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Northeast</td>
              <td>364 (36.51)</td>
              <td>148 (44.85)</td>
              <td colspan="2">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Midwest</td>
              <td>178 (17.85)</td>
              <td>75 (22.73)</td>
              <td colspan="2">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>South</td>
              <td>84 (8.43)</td>
              <td>30 (9.09)</td>
              <td colspan="2">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>West</td>
              <td>371 (37.21)</td>
              <td>77 (23.33)</td>
              <td colspan="2">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td colspan="5">
                <bold>Gender, n (%)</bold>
              </td>
              <td>.13</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Male</td>
              <td>902 (90.47)</td>
              <td>289 (87.58)</td>
              <td colspan="2">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Female</td>
              <td>95 (9.53)</td>
              <td>41 (12.42)</td>
              <td colspan="2">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td colspan="5">
                <bold>Faculty type, n (%)</bold>
              </td>
              <td>&lt;.001</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>None or not listed</td>
              <td>431 (43.23)</td>
              <td>72 (21.82)</td>
              <td colspan="2">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Instructor</td>
              <td>40 (4.01)</td>
              <td>12 (3.64)</td>
              <td colspan="2">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Assistant</td>
              <td>264 (26.48)</td>
              <td>118 (35.76)</td>
              <td colspan="2">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Associate</td>
              <td>114 (11.43)</td>
              <td>66 (20.00)</td>
              <td colspan="2">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Full professor</td>
              <td>148 (14.84)</td>
              <td>62 (18.79)</td>
              <td colspan="2">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td colspan="5">
                <bold>Number of leadership titles, n (%)</bold>
              </td>
              <td>&lt;.001</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>0</td>
              <td>731 (73.32)</td>
              <td>184 (55.76)</td>
              <td colspan="2">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>1</td>
              <td>182 (18.25)</td>
              <td>91 (27.58)</td>
              <td colspan="2">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>2</td>
              <td>57 (5.72)</td>
              <td>37 (11.21)</td>
              <td colspan="2">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>More than 3</td>
              <td>27 (2.71)</td>
              <td>18 (5.45)</td>
              <td colspan="2">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td colspan="5">
                <bold>Subspecialty, n (%)</bold>
              </td>
              <td>&lt;.001</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>General</td>
              <td>27 (2.71)</td>
              <td>2 (0.61)</td>
              <td colspan="2">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Sports medicine</td>
              <td>205 (20.56)</td>
              <td>106 (32.12)</td>
              <td colspan="2">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Upper extremity</td>
              <td>167 (16.75)</td>
              <td>40 (12.12)</td>
              <td colspan="2">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Lower extremity</td>
              <td>259 (25.98)</td>
              <td>74 (22.42)</td>
              <td colspan="2">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Spine</td>
              <td>159 (15.95)</td>
              <td>33 (10.00)</td>
              <td colspan="2">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Trauma</td>
              <td>48 (4.81)</td>
              <td>12 (3.64)</td>
              <td colspan="2">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Pediatrics</td>
              <td>43 (4.31)</td>
              <td>18 (5.45)</td>
              <td colspan="2">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Musculoskeletal oncology</td>
              <td>20 (2.01)</td>
              <td>10 (3.03)</td>
              <td colspan="2">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Multiple and other</td>
              <td>69 (6.92)</td>
              <td>35 (10.61)</td>
              <td colspan="2">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td colspan="5">
                <bold>Dual degree (PhD, MBA, MPH, and MS), n (%)</bold>
              </td>
              <td>.007</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Yes</td>
              <td>83 (8.32)</td>
              <td>44 (13.33)</td>
              <td colspan="2">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>No</td>
              <td>914 (91.68)</td>
              <td>286 (86.67)</td>
              <td colspan="2">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td colspan="2">Interval sine medical school (years), median (IQR)</td>
              <td>24 (14-35)</td>
              <td>21 (15-29)</td>
              <td colspan="2">.02</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="table1fn1">
            <p><sup>a</sup><italic>P</italic> value is calculated by the Wilcoxon rank-sum test for continuous variables and the chi-square test or Fisher exact test for categorical variables as appropriate.</p>
          </fn>
          <fn id="table1fn2">
            <p><sup>b</sup>Not available.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <table-wrap position="float" id="table2">
        <label>Table 2</label>
        <caption>
          <p>Characteristics of orthopedic surgeons on X stratified by gender.</p>
        </caption>
        <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
          <col width="30"/>
          <col width="0"/>
          <col width="450"/>
          <col width="0"/>
          <col width="220"/>
          <col width="0"/>
          <col width="200"/>
          <col width="0"/>
          <col width="0"/>
          <col width="100"/>
          <thead>
            <tr valign="top">
              <td colspan="4">Variables</td>
              <td colspan="2">Male (n=289)</td>
              <td colspan="2">Female (n=41)</td>
              <td colspan="2"><italic>P</italic> value<sup>a</sup></td>
            </tr>
          </thead>
          <tbody>
            <tr valign="top">
              <td colspan="9">
                <bold>Region, n (%)</bold>
              </td>
              <td>.37</td>
            </tr>
            <tr valign="top">
              <td colspan="2">
                <break/>
              </td>
              <td>Northeast</td>
              <td colspan="2">126 (43.6)</td>
              <td colspan="2">22 (53.66)</td>
              <td colspan="3">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td colspan="2">
                <break/>
              </td>
              <td>Midwest</td>
              <td colspan="2">67 (23.18)</td>
              <td colspan="2">8 (19.51)</td>
              <td colspan="3">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td colspan="2">
                <break/>
              </td>
              <td>South</td>
              <td colspan="2">29 (10.03)</td>
              <td colspan="2">1 (2.44)</td>
              <td colspan="3">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td colspan="2">
                <break/>
              </td>
              <td>West</td>
              <td colspan="2">67 (23.18)</td>
              <td colspan="2">10 (24.39)</td>
              <td colspan="3">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td colspan="9">
                <bold>Faculty type, n (%)</bold>
              </td>
              <td>.04</td>
            </tr>
            <tr valign="top">
              <td colspan="2">
                <break/>
              </td>
              <td>None or not listed</td>
              <td colspan="2">68 (23.53)</td>
              <td colspan="2">4 (9.76)</td>
              <td colspan="3">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td colspan="2">
                <break/>
              </td>
              <td>Instructor</td>
              <td colspan="2">12 (4.15)</td>
              <td colspan="2">0 (0)</td>
              <td colspan="3">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td colspan="2">
                <break/>
              </td>
              <td>Assistant</td>
              <td colspan="2">98 (33.91)</td>
              <td colspan="2">20 (48.78)</td>
              <td colspan="3">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td colspan="2">
                <break/>
              </td>
              <td>Associate</td>
              <td colspan="2">54 (18.69)</td>
              <td colspan="2">12 (29.27)</td>
              <td colspan="3">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td colspan="2">
                <break/>
              </td>
              <td>Full professor</td>
              <td colspan="2">57 (19.72)</td>
              <td colspan="2">5 (12.2)</td>
              <td colspan="3">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td colspan="9">
                <bold>Number of leadership titles, n (%)</bold>
              </td>
              <td>.95</td>
            </tr>
            <tr valign="top">
              <td colspan="2">
                <break/>
              </td>
              <td>0</td>
              <td colspan="2">162 (56.06)</td>
              <td colspan="2">22 (53.66)</td>
              <td colspan="3">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td colspan="2">
                <break/>
              </td>
              <td>1</td>
              <td colspan="2">78 (26.99)</td>
              <td colspan="2">13 (31.71)</td>
              <td colspan="3">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td colspan="2">
                <break/>
              </td>
              <td>2</td>
              <td colspan="2">33 (11.42)</td>
              <td colspan="2">4 (9.76)</td>
              <td colspan="3">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td colspan="2">
                <break/>
              </td>
              <td>More than 3</td>
              <td colspan="2">16 (5.54)</td>
              <td colspan="2">2 (4.88)</td>
              <td colspan="3">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td colspan="9">
                <bold>Subspecialty, n (%)</bold>
              </td>
              <td>.005</td>
            </tr>
            <tr valign="top">
              <td colspan="2">
                <break/>
              </td>
              <td>General</td>
              <td colspan="2">2 (0.69)</td>
              <td colspan="2">0 (0)</td>
              <td colspan="3">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td colspan="2">
                <break/>
              </td>
              <td>Sports medicine</td>
              <td colspan="2">94 (32.53)</td>
              <td colspan="2">12 (29.27)</td>
              <td colspan="3">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td colspan="2">
                <break/>
              </td>
              <td>Upper extremity</td>
              <td colspan="2">32 (11.07)</td>
              <td colspan="2">8 (19.51)</td>
              <td colspan="3">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td colspan="2">
                <break/>
              </td>
              <td>Lower extremity</td>
              <td colspan="2">69 (23.88)</td>
              <td colspan="2">5 (12.2)</td>
              <td colspan="3">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td colspan="2">
                <break/>
              </td>
              <td>Spine</td>
              <td colspan="2">32 (11.07)</td>
              <td colspan="2">1 (2.44)</td>
              <td colspan="3">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td colspan="2">
                <break/>
              </td>
              <td>Trauma</td>
              <td colspan="2">11 (3.81)</td>
              <td colspan="2">1 (2.44)</td>
              <td colspan="3">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td colspan="2">
                <break/>
              </td>
              <td>Pediatric</td>
              <td colspan="2">10 (3.46)</td>
              <td colspan="2">8 (19.51)</td>
              <td colspan="3">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td colspan="2">
                <break/>
              </td>
              <td>Musculoskeletal oncology</td>
              <td colspan="2">8 (2.77)</td>
              <td colspan="2">2 (4.88)</td>
              <td colspan="3">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td colspan="2">
                <break/>
              </td>
              <td>General</td>
              <td colspan="2">31 (10.73)</td>
              <td colspan="2">4 (9.76)</td>
              <td colspan="3">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td colspan="9">
                <bold>Dual degree (PhD, MBA, MPH, and MS), n (%)</bold>
              </td>
              <td>.45</td>
            </tr>
            <tr valign="top">
              <td colspan="2">
                <break/>
              </td>
              <td>Yes</td>
              <td colspan="2">37 (12.8)</td>
              <td colspan="2">7 (17.07)</td>
              <td colspan="3">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td colspan="2">
                <break/>
              </td>
              <td>No</td>
              <td colspan="2">252 (87.2)</td>
              <td colspan="2">34 (82.93)</td>
              <td colspan="3">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td colspan="4">Interval since graduating from medical school (years), median (IQR)</td>
              <td colspan="2">22 (16-30)</td>
              <td colspan="2">17 (12-24)</td>
              <td colspan="2">.002</td>
            </tr>
            <tr valign="top">
              <td colspan="10">
                <bold>X use variables (publicly available)</bold>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td colspan="3">Time on X (years), median (IQR)</td>
              <td colspan="2">9 (6-12)</td>
              <td colspan="2">8 (5-11)</td>
              <td colspan="2">.13</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td colspan="3">Average number of followers on X, median (IQR)</td>
              <td colspan="2">221 (40-717)</td>
              <td colspan="2">270 (79-773)</td>
              <td colspan="2">.39</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td colspan="3">Average following on X, median (IQR)</td>
              <td colspan="2">123 (31-307)</td>
              <td colspan="2">159 (32-426)</td>
              <td colspan="2">.41</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td colspan="3">Average number of liked posts on X, median (IQR)</td>
              <td colspan="2">35 (0-537.5)</td>
              <td colspan="2">242 (20-1110)</td>
              <td colspan="2">.006</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td colspan="3">Average number of posts on X, median (IQR)</td>
              <td colspan="2">103 (18-579.5)</td>
              <td colspan="2">83 (17-452)</td>
              <td colspan="2">.71</td>
            </tr>
            <tr valign="top">
              <td colspan="9">
                <bold>Thematic content of X profile biography, n (%)</bold>
              </td>
              <td>.02</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td colspan="3">Job roles and specialty</td>
              <td colspan="2">270 (93.43)</td>
              <td colspan="2">34 (82.93)</td>
              <td colspan="2">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td colspan="3">Mention</td>
              <td colspan="2">19 (6.57)</td>
              <td colspan="2">7 (17.07)</td>
              <td colspan="2">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td colspan="3">No mention</td>
              <td colspan="2">—<sup>b</sup></td>
              <td colspan="2">—</td>
              <td colspan="2">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td colspan="9">
                <bold>Personal information (parent, spouse, and interests), n (%)</bold>
              </td>
              <td>.048</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td colspan="3">Mention</td>
              <td colspan="2">35 (12.11)</td>
              <td colspan="2">10 (24.39)</td>
              <td colspan="2">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td colspan="3">No mention</td>
              <td colspan="2">254 (87.89)</td>
              <td colspan="2">31 (75.61)</td>
              <td colspan="2">
                <break/>
              </td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="table2fn1">
            <p><sup>a</sup><italic>P</italic> value is calculated by the Wilcoxon rank-sum test for continuous variables and the chi-square test or Fisher exact test for categorical variables as appropriate.</p>
          </fn>
          <fn id="table2fn2">
            <p><sup>b</sup>Not available.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <sec>
        <title>Principal Findings</title>
        <p>In this cross-sectional study, we explored demographic and professional characteristics of X use by gender in the social media orthopedic surgery workforce. The strength of this study is the robust analysis of more than 1000 orthopedic surgeons, including detailed evaluations of more than 300 X profiles and their usage statistics. We observed that while X users (vs non-X users) were more likely to hold leadership titles and higher faculty appointments, women X users (vs men X users) were less likely to be full professors, highlighting the persistence of gender disparities among orthopedic surgeons on X. Furthermore, women orthopedic surgeon X users demonstrated greater engagement (in the form of interacting with posts), suggestive of gender-based differences in motivation for professional X use, which is worthy of further study.</p>
      </sec>
      <sec>
        <title>Comparisons With Previous Work</title>
        <p>In 2021, Friedman and Menendez [<xref ref-type="bibr" rid="ref10">10</xref>] highlighted the use of #OrthoTwitter on social media to connect the orthopedic community amidst isolation during the COVID-19 pandemic. In the same year, Cole et al [<xref ref-type="bibr" rid="ref11">11</xref>] concluded that social media is a powerful tool in orthopedic surgery resident training by enhancing worldwide communication. This is consistent with the rise in popularity of professional X use among orthopedic surgeons, with nearly 32,000 posts and more than 700,000 likes using #OrthoTwitter in 2022 [<xref ref-type="bibr" rid="ref8">8</xref>]. In a 2023 study evaluating the use of social media by women surgeons, the authors reported that the majority of posts were for personal reasons (44%) and suggested the use of the hashtag #womeninortho to maximize the reach of their content [<xref ref-type="bibr" rid="ref7">7</xref>]. Building upon these findings, we observed that women were more likely to engage with posts from other users and share personal or family information in their profile biographies, consistent with studies showing that women physicians are more likely than men to use social media to build support networks and foster communities [<xref ref-type="bibr" rid="ref12">12</xref>].</p>
        <p>In a scoping review of the demographic characteristics of X influencers in academic medicine, Istl et al [<xref ref-type="bibr" rid="ref13">13</xref>] analyzed 13 studies and described persistent gender disparities on X in academic medicine. This study builds upon these findings, focusing on the male-dominated specialty of orthopedic surgery, which lags behind other specialties in increasing the representation of women [<xref ref-type="bibr" rid="ref3">3</xref>]. We observed that despite X users (vs nonusers) being enriched for more leadership titles, higher faculty appointments, and dual advanced degrees, women orthopedic surgeon X users (vs men), remained less likely to be full professors. The various potential reasons for disparate ascension in academic medicine, particularly for surgeons, are several-fold. Women physicians are more likely to take on greater parenting roles, sacrifice work time for domestic responsibilities, and have spouses who are working full-time [<xref ref-type="bibr" rid="ref14">14</xref>]. Women surgeons face disproportionate conflicts of work-life integration and threats to their careers from pregnancy and childbearing [<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref16">16</xref>], and for physician mothers in procedural fields, these self-reported greater familial demands are associated with lower overall career satisfaction [<xref ref-type="bibr" rid="ref17">17</xref>,<xref ref-type="bibr" rid="ref18">18</xref>]. Further, women physicians face gender discrimination and sexual harassment, manifesting as workplace microaggressions, lower rates of promotion, and unequal compensation [<xref ref-type="bibr" rid="ref16">16</xref>,<xref ref-type="bibr" rid="ref19">19</xref>,<xref ref-type="bibr" rid="ref20">20</xref>]. Each of these factors may limit career progression and promote the early exit of women physicians.</p>
        <p>Some have proposed that social media platforms such as X would offer women an equal opportunity to share their perspectives, promote their work, and connect with same-gender role models [<xref ref-type="bibr" rid="ref4">4</xref>], the latter of which has been identified as a most significant barrier faced by female professionals [<xref ref-type="bibr" rid="ref21">21</xref>-<xref ref-type="bibr" rid="ref24">24</xref>]. The results of our study, however, suggest that this leveling is not realized in practice. We observed similar levels of X followers and posts between men and women, aligning with survey data demonstrating that men and women physicians report similar rates of using social media to build their professional network and increase collaborations [<xref ref-type="bibr" rid="ref12">12</xref>]. However, despite similar intent for professional development, women physicians are less likely to report career-advancing benefits (ie, speaking engagement or expanded research portfolio) [<xref ref-type="bibr" rid="ref12">12</xref>]. Further, others have shown that despite similar follow count, men physicians are more likely to hold a “verified” X account, a (now controversial) designation of validity [<xref ref-type="bibr" rid="ref25">25</xref>]. Together, these data underscore the need for further research to understand motivational and behavioral differences in professional social media use and identify strategies to improve gender inequities.</p>
      </sec>
      <sec>
        <title>Limitations</title>
        <p>This study has several potential limitations, including inaccuracies or incompleteness in publicly available data. The use of binary gender classification may introduce classification bias or inaccuracy in the preferred gender. In addition, only physicians from top US News and World Report hospitals were selected, which may not reflect other medical practice settings. In addition, the cross-sectional design limits causal inference, for instance, whether X users were more likely to hold leadership roles or higher faculty appointments due to social media presence or whether these positions contributed to social media presence or use, which is worthy of further study.</p>
      </sec>
      <sec>
        <title>Conclusions</title>
        <p>Gender disparities persist in the orthopedic surgery X community, although women orthopedic surgeons were more actively engaged. The motivation behind these trends, the temporal relationship between social media use and leadership positions, and the impact of social media use on gender disparities in professional development are worthy of further study.</p>
      </sec>
    </sec>
  </body>
  <back>
    <app-group/>
    <glossary>
      <title>Abbreviations</title>
      <def-list>
        <def-item>
          <term id="abb1">STROBE</term>
          <def>
            <p>Strengthening the Reporting of Observational Studies in Epidemiology</p>
          </def>
        </def-item>
      </def-list>
    </glossary>
    <ack>
      <p>This study received no grants, contracts, or other forms of financial support.</p>
    </ack>
    <fn-group>
      <fn fn-type="conflict">
        <p>KA reports honoraria from OncLive, outside of the submitted work. DGT reports editorial consulting with Wolters Kluwer.</p>
      </fn>
    </fn-group>
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