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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="brief-report" dtd-version="1.3"><?properties open_access?><processing-meta base-tagset="archiving" mathml-version="3.0" table-model="xhtml" tagset-family="jats"><restricted-by>pmc</restricted-by></processing-meta><front><journal-meta><journal-id journal-id-type="nlm-ta">J Korean Med Sci</journal-id><journal-id journal-id-type="iso-abbrev">J Korean Med Sci</journal-id><journal-id journal-id-type="publisher-id">JKMS</journal-id><journal-title-group><journal-title>Journal of Korean Medical Science</journal-title></journal-title-group><issn pub-type="ppub">1011-8934</issn><issn pub-type="epub">1598-6357</issn><publisher><publisher-name>The Korean Academy of Medical Sciences</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">34519187</article-id><article-id pub-id-type="pmc">8438186</article-id><article-id pub-id-type="doi">10.3346/jkms.2021.36.e246</article-id><article-categories><subj-group subj-group-type="heading"><subject>Brief Communication</subject><subj-group subj-group-type="subheading"><subject>Respiratory Diseases</subject></subj-group></subj-group></article-categories><title-group><article-title>Latent Tuberculosis Infection Screening and Treatment in Congregate Settings (TB FREE COREA): Demographic Profiles of Interferon-Gamma Release Assay Cohort</article-title></title-group><contrib-group><contrib contrib-type="author"><contrib-id authenticated="true" contrib-id-type="orcid">https://orcid.org/0000-0002-8897-6598</contrib-id><name><surname>Kim</surname><given-names>Hyung Woo</given-names></name><xref ref-type="aff" rid="A1-jkms-36-e246">1</xref><xref ref-type="author-notes" rid="FN1-jkms-36-e246">*</xref></contrib><contrib contrib-type="author"><contrib-id authenticated="true" contrib-id-type="orcid">https://orcid.org/0000-0001-6091-518X</contrib-id><name><surname>Min</surname><given-names>Jinsoo</given-names></name><xref ref-type="aff" rid="A2-jkms-36-e246">2</xref><xref ref-type="author-notes" rid="FN1-jkms-36-e246">*</xref></contrib><contrib contrib-type="author"><contrib-id authenticated="true" contrib-id-type="orcid">https://orcid.org/0000-0001-6298-2204</contrib-id><name><surname>Choi</surname><given-names>Joon Young</given-names></name><xref ref-type="aff" rid="A1-jkms-36-e246">1</xref></contrib><contrib contrib-type="author"><contrib-id authenticated="true" contrib-id-type="orcid">https://orcid.org/0000-0002-4039-1240</contrib-id><name><surname>Shin</surname><given-names>Ah Young</given-names></name><xref ref-type="aff" rid="A1-jkms-36-e246">1</xref></contrib><contrib contrib-type="author"><contrib-id authenticated="true" contrib-id-type="orcid">https://orcid.org/0000-0001-8674-1034</contrib-id><name><surname>Myong</surname><given-names>Jun-Pyo</given-names></name><xref ref-type="aff" rid="A3-jkms-36-e246">3</xref></contrib><contrib contrib-type="author"><contrib-id authenticated="true" contrib-id-type="orcid">https://orcid.org/0000-0002-9177-2553</contrib-id><name><surname>Lee</surname><given-names>Yunhee</given-names></name><xref ref-type="aff" rid="A4-jkms-36-e246">4</xref></contrib><contrib contrib-type="author"><contrib-id authenticated="true" contrib-id-type="orcid">https://orcid.org/0000-0002-3646-8161</contrib-id><name><surname>Yim</surname><given-names>Hyeon Woo</given-names></name><xref ref-type="aff" rid="A5-jkms-36-e246">5</xref></contrib><contrib contrib-type="author"><contrib-id authenticated="true" contrib-id-type="orcid">https://orcid.org/0000-0001-5274-3816</contrib-id><name><surname>Jeong</surname><given-names>Hyunsuk</given-names></name><xref ref-type="aff" rid="A5-jkms-36-e246">5</xref></contrib><contrib contrib-type="author"><contrib-id authenticated="true" contrib-id-type="orcid">https://orcid.org/0000-0002-4995-6543</contrib-id><name><surname>Bae</surname><given-names>Sanghyuk</given-names></name><xref ref-type="aff" rid="A5-jkms-36-e246">5</xref></contrib><contrib contrib-type="author"><contrib-id authenticated="true" contrib-id-type="orcid">https://orcid.org/0000-0001-6804-7516</contrib-id><name><surname>Shim</surname><given-names>Eunhye</given-names></name><xref ref-type="aff" rid="A6-jkms-36-e246">6</xref></contrib><contrib contrib-type="author"><contrib-id authenticated="true" contrib-id-type="orcid">https://orcid.org/0000-0003-4485-6049</contrib-id><name><surname>In</surname><given-names>Hyekyung</given-names></name><xref ref-type="aff" rid="A6-jkms-36-e246">6</xref></contrib><contrib contrib-type="author"><contrib-id authenticated="true" contrib-id-type="orcid">https://orcid.org/0000-0002-0179-2420</contrib-id><name><surname>Chun</surname><given-names>Chaemin</given-names></name><xref ref-type="aff" rid="A6-jkms-36-e246">6</xref></contrib><contrib contrib-type="author"><contrib-id authenticated="true" contrib-id-type="orcid">https://orcid.org/0000-0002-7678-1945</contrib-id><name><surname>Kim</surname><given-names>Gahee</given-names></name><xref ref-type="aff" rid="A6-jkms-36-e246">6</xref></contrib><contrib contrib-type="author"><contrib-id authenticated="true" contrib-id-type="orcid">https://orcid.org/0000-0003-4942-013X</contrib-id><name><surname>Kang</surname><given-names>Ji Young</given-names></name><xref ref-type="aff" rid="A7-jkms-36-e246">7</xref></contrib><contrib contrib-type="author"><contrib-id authenticated="true" contrib-id-type="orcid">https://orcid.org/0000-0001-6422-2313</contrib-id><name><surname>Lee</surname><given-names>Sung-Soon</given-names></name><xref ref-type="aff" rid="A8-jkms-36-e246">8</xref></contrib><contrib contrib-type="author"><contrib-id authenticated="true" contrib-id-type="orcid">https://orcid.org/0000-0001-9307-1155</contrib-id><name><surname>Park</surname><given-names>Jae Seuk</given-names></name><xref ref-type="aff" rid="A9-jkms-36-e246">9</xref></contrib><contrib contrib-type="author" corresp="yes"><contrib-id authenticated="true" contrib-id-type="orcid">https://orcid.org/0000-0002-4433-231X</contrib-id><name><surname>Kim</surname><given-names>Ju Sang</given-names></name><xref ref-type="aff" rid="A1-jkms-36-e246">1</xref></contrib></contrib-group><aff id="A1-jkms-36-e246"><label>1</label>Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, <country>Korea</country>.</aff><aff id="A2-jkms-36-e246"><label>2</label>Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Daejeon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, <country>Korea</country>.</aff><aff id="A3-jkms-36-e246"><label>3</label>Department of Occupational &amp; Environmental Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, <country>Korea</country>.</aff><aff id="A4-jkms-36-e246"><label>4</label>Department of Urology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, <country>Korea</country>.</aff><aff id="A5-jkms-36-e246"><label>5</label>Department of Preventive Medicine, College of Medicine, The Catholic University of Korea, Seoul, <country>Korea</country>.</aff><aff id="A6-jkms-36-e246"><label>6</label>Division of Tuberculosis Prevention and Control, Korea Disease Control and Prevention Agency, Cheongju, <country>Korea</country>.</aff><aff id="A7-jkms-36-e246"><label>7</label>Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, <country>Korea</country>.</aff><aff id="A8-jkms-36-e246"><label>8</label>Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Ilsan Paik Hospital, Inje University College of Medicine, Goyang, <country>Korea</country>.</aff><aff id="A9-jkms-36-e246"><label>9</label>Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Dankook University College of Medicine, Cheonan, <country>Korea</country>.</aff><author-notes><corresp>Address for Correspondence: Ju Sang Kim, MD. Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Incheon St. Mary's Hospital, 56 Dongsu-ro, Bupyeong-gu, Incheon 21431, Republic of Korea. <email>kimjusang@catholic.ac.kr</email></corresp><fn fn-type="equal" id="FN1-jkms-36-e246"><p><sup>*</sup>Hyung Woo Kim and Jinsoo Min contributed equally to this work.</p></fn></author-notes><pub-date pub-type="epub"><day>24</day><month>8</month><year>2021</year></pub-date><pub-date pub-type="collection"><day>13</day><month>9</month><year>2021</year></pub-date><volume>36</volume><issue>36</issue><elocation-id>e246</elocation-id><history><date date-type="received"><day>18</day><month>4</month><year>2021</year></date><date date-type="accepted"><day>11</day><month>8</month><year>2021</year></date></history><permissions><copyright-statement>&#xA9; 2021 The Korean Academy of Medical Sciences.</copyright-statement><copyright-year>2021</copyright-year><copyright-holder>The Korean Academy of Medical Sciences</copyright-holder><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/" specific-use="textmining" content-type="ccbynclicense">https://creativecommons.org/licenses/by-nc/4.0/</ali:license_ref><license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (<ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by-nc/4.0/">https://creativecommons.org/licenses/by-nc/4.0/</ext-link>) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p></license></permissions><abstract><p>In 2017, the Korean government launched an unprecedentedly large-scaled latent tuberculosis infection (LTBI) screening project which covered more than a million individuals in congregate settings. A total of 1,047,689 participants of source population (n = 2,336,157) underwent LTBI testing from 2017 to 2018. The overall LTBI test uptake rate during this project was 44.8%. Workers in daycare centers (83.5%) and kindergartens (78.9%) showed high participation rate. A total of 1,012,206 individuals with valid results of interferon-gamma release assay (IGRA) were selected to constitute the IGRA cohort. Most of the enrolled participants in the IGRA cohort were in their working age. Approximately, three-quarters of total enrolled population were female. Investigating the LTBI prevalence, stages of LTBI care cascade, natural history of LTBI, efficacy of LTBI treatment and cost-effectiveness of LTBI screening are feasible within this IGRA cohort.</p></abstract><abstract abstract-type="graphical"><title>Graphical Abstract</title><p>
<graphic xlink:href="jkms-36-e246-abf001.jpg" position="float" orientation="portrait"/>
</p></abstract><kwd-group kwd-group-type="author"><kwd>Latent Tuberculosis</kwd><kwd>Interferon-gamma Release Tests</kwd><kwd>Republic of Korea</kwd><kwd>Mass Screening</kwd></kwd-group><funding-group><award-group><funding-source><institution>Korea Disease Control and Prevention Agency</institution></funding-source><award-id>2020E310100</award-id></award-group></funding-group></article-meta></front><body><p>Strategies to tackle latent tuberculosis infection (LTBI) have been underscored worldwide and implemented in countries with both low- and high-tuberculosis (TB) burdens.<xref rid="B1-jkms-36-e246" ref-type="bibr">1</xref> An estimated pool of LTBI was one-fourth of world's population.<xref rid="B2-jkms-36-e246" ref-type="bibr">2</xref> For TB elimination to incidence of less than one case per million population by 2050, preventing new infection and reducing the preexisting pool of LTBI are crucial, in addition to control active TB cases.<xref rid="B3-jkms-36-e246" ref-type="bibr">3</xref></p><p>The TB burden in South Korea is disproportionately high, considering the high level of socioeconomic development.<xref rid="B4-jkms-36-e246" ref-type="bibr">4</xref> Before early 2000's, screening and treatment of LTBI were not feasible in South Korea. In 2004, LTBI screening was implemented for people living with human immunodeficiency virus (HIV) and family contacts under 6 years of age.<xref rid="B5-jkms-36-e246" ref-type="bibr">5</xref> Nationwide contact investigation in both household and congregate environment was launched in 2013. However, as several TB outbreaks at hospitals, daycare centers, schools and military units continuously occurred and became important social issues, Korean government implemented &#x2018;TB-free Korea&#x2019; program in 2016. In this program, one of the key strategies was to provide screening and treatment of LTBI among more than 1.6 million individuals in congregate settings. The aim of this study was to identify the LTBI test uptake rate and describe demographic profiles of participants who received interferon-gamma release assay (IGRA).</p><p>Study settings, methods of data collection and linkage were described in our protocol article.<xref rid="B6-jkms-36-e246" ref-type="bibr">6</xref> In 2017 and 2018, workers at the prespecified congregate settings underwent LTBI testing (either IGRA or tuberculin skin test [TST]). The source population of each congregate settings were quoted from the 2017's annual survey of government for the number of employees of social welfare institutions, daycare centers, educational institutions, healthcare institutions, postpartum care centers.<xref rid="B7-jkms-36-e246" ref-type="bibr">7</xref><xref rid="B8-jkms-36-e246" ref-type="bibr">8</xref><xref rid="B9-jkms-36-e246" ref-type="bibr">9</xref> Total number of first year students in high-school and the average of daily number of inmates in nationwide correctional facility in 2017 were also cited from the official reports of government.<xref rid="B7-jkms-36-e246" ref-type="bibr">7</xref><xref rid="B10-jkms-36-e246" ref-type="bibr">10</xref> Statistics on &#x2018;out-of-school youth&#x2019; were not available, so estimated target number of screening replaced the actual number in that group. Because data of participants with negative LTBI results during their military draft health checkup were not available, candidates for military conscripts were excluded in this analysis.</p><p>Korea Disease Control and Prevention Agency (KDCA) collected baseline demographic information of participants and LTBI test results. These participants constituted a prospective cohort named &#x2018;TB FREE COREA.&#x2019; The cohort was matched with National Health Information Database (NHID).<xref rid="B11-jkms-36-e246" ref-type="bibr">11</xref> Information about income level and place of residence were extracted from the insurance qualification database of NHID. Korean National TB Surveillance System (KNTSS) database was also linked with the cohort to exclude participants with previous TB history and identify the incident TB cases. In addition, to identify an exposure to TB before or after the screening, the national database of TB epidemiological investigation in congregate settings and that in household contacts were also matched with the cohort. Because of high bacille Calmette-Gu&#xE9;rin vaccination rate in South Korea,<xref rid="B12-jkms-36-e246" ref-type="bibr">12</xref> we concerned about possible discrepancies between IGRA and TST results<xref rid="B13-jkms-36-e246" ref-type="bibr">13</xref> and thus excluded participants who underwent only TST. The statistical analyses were performed with descriptive statistics, using SAS software, version 9.4 (SAS Institute Inc., Cary, NC, USA).</p><p>A total of 1,047,689 individuals of 2,336,157 source population underwent either TST or IGRA. The LTBI test uptake rate was 44.8% (<xref ref-type="fig" rid="F1-jkms-36-e246">Fig. 1</xref>). Workers of daycare centers (83.5%) and kindergartens (78.9%) showed the highest, followed by first year students in high school (55.3%) and workers of social welfare institutions (50.3%). After exclusion of individuals who were not matched with the NHID (n = 2,481), those who underwent only TST between 2017 and 2018 (n = 28,038), those with past TB history (n = 4,213) and those who underwent LTBI treatment as TB contacts before the participation in &#x2018;TB-free Korea&#x2019; program (n = 751), a total of 1,012,206 individuals with valid results of IGRA were selected to constitute the IGRA cohort.</p><p>Baseline demographic features of the IGRA cohort were presented in <xref rid="T1-jkms-36-e246" ref-type="table">Table 1</xref>. As this screening was carried out among the employees of congregate facilities, most of the enrolled participants were of working age. People in their 50s accounted for the largest proportion among the workers of social welfare institutions and those of postpartum care centers, whereas those in their 20s among the workers of medical institutions. Except for the inmates of correctional facilities, in which the proportion of male was 93.8%, female accounted for three-quarters of total enrolled population among the workers of other congregate facilities. Among the workers of medical institutions and groups of youth, proportion of high-income group was higher than that of other groups.</p><p>Main goal of the &#x2018;TB-free Korea&#x2019; program was to protect younger generation from TB, by direct screening themselves, or by screening the potential source of TB transmission to them&#x2014;workers of postpartum care centers, social welfare institutions, daycare centers, kindergartens and schools. Considering the large generation gap in TB burden, protecting younger generation from TB should be a key strategy for national TB control program in South Korea, which could reduce TB burden drastically within 10 to 20 years. Historically, younger generation was the main target of national LTBI screening programs.<xref rid="B14-jkms-36-e246" ref-type="bibr">14</xref> In the United States (US), since the efficacy of isoniazid preventive therapy was demonstrated in 1960's,<xref rid="B15-jkms-36-e246" ref-type="bibr">15</xref> the government implemented massive LTBI screening program with TST which targeted mainly for younger generations such as periodic school-based TST.<xref rid="B16-jkms-36-e246" ref-type="bibr">16</xref> After decrement of TB incidence in the US, selective screening for high-risk groups was recommended officially by Centers for Disease Control and Prevention in 1995<xref rid="B17-jkms-36-e246" ref-type="bibr">17</xref> and by American Thoracic Society in 1999.<xref rid="B18-jkms-36-e246" ref-type="bibr">18</xref> In Japan, since the isoniazid preventive therapy was introduced in 1965, LTBI screening for children 4 years of age, those who entered elementary schools or middle schools was carried out, as in the US.<xref rid="B19-jkms-36-e246" ref-type="bibr">19</xref><xref rid="B20-jkms-36-e246" ref-type="bibr">20</xref> Since 2005, as the TB burden in Japan had drastically decreased, strategy of mass screening was terminated and selective screening for high-risk groups was adopted.<xref rid="B21-jkms-36-e246" ref-type="bibr">21</xref></p><p>In &#x2018;TB-free Korea&#x2019; program, mass screening in two congregate settings&#x2014;high schools and military units were carried out. Considering that entrance rate of high school in 2017 was 93.7%,<xref rid="B22-jkms-36-e246" ref-type="bibr">22</xref> approximately half of the population born in the same year underwent LTBI screening. Additionally, although not included in this study, almost all the male population born in another same year underwent LTBI screening as a medical check-up in the military conscription. The long-term effect of such massive LTBI screening will be investigated in individual and community's perspectives.</p><p>It is noteworthy that high-risk congregate settings were selected not only for the individual's net benefit, but also for the potential risk of secondary TB cases from a population perspective. The World Health Organization (WHO) recommends an individual-level approach in LTBI screening and treatment in low incidence countries.<xref rid="B23-jkms-36-e246" ref-type="bibr">23</xref> Only in cases that benefit outweigh the risk of treatment such as contacts or people living with HIV, screening and treatment was recommended. However, according to a recently published study, the WHO's recommendation could only protect 4.2% of notified TB cases in Canada, which indicated that such approach would minimally impact national TB burden.<xref rid="B24-jkms-36-e246" ref-type="bibr">24</xref> Recently in low incidence countries, target groups for screening and treatment of LTBI were expanded considering the countries' epidemiologic status, in which benefit in individual level was limited but that in population level was demonstrated.<xref rid="B25-jkms-36-e246" ref-type="bibr">25</xref> Hospitals and correctional facilities were well-known high-risk congregate settings,<xref rid="B26-jkms-36-e246" ref-type="bibr">26</xref><xref rid="B27-jkms-36-e246" ref-type="bibr">27</xref><xref rid="B28-jkms-36-e246" ref-type="bibr">28</xref><xref rid="B29-jkms-36-e246" ref-type="bibr">29</xref> whereas postpartum care centers, daycare centers, kindergartens, and schools were not included in high-risk congregate settings in previous guidelines. Selection of such congregate settings was based on a cost-effectiveness analysis,<xref rid="B30-jkms-36-e246" ref-type="bibr">30</xref> but there were many limitations due to lack of preceding evidence needed for cost-effectiveness analysis. Impact of this screening program on the TB burden in South Korea, especially among the young generation, should be evaluated at the population level.</p><p>In this program, only 44.8% of source population underwent LTBI test. However, due to the limited budget of Korean government, the number of actual target population that Korean government had set was 985,000 after exclusion of candidates for military conscription (n = 670,000). Considering that actual goal, we identified that the actual participation rate was more than 100%. We speculated that this full achievement might result from the revised Tuberculosis Prevention Act which ordered the mandatory LTBI screening among this source population since 2016.</p><p>This is an unprecedentedly large-scaled population-based LTBI study in South Korea. Except for some groups of young generation, people in various age group were included. The effect of age on prevalence of LTBI, which was the most important predictors for LTBI in a previous population-based survey,<xref rid="B31-jkms-36-e246" ref-type="bibr">31</xref> and effects of other factors will be investigated. The adherence to the program, which should be warranted for cost-effectiveness of the screening program,<xref rid="B32-jkms-36-e246" ref-type="bibr">32</xref> will be evaluated in the frame of LTBI cascade of care. Additionally, this cohort contains more than one million IGRA results as quantitative values, not only as binary outcomes. According to the recent research assessing the usefulness of quantitative values of IGRA results,<xref rid="B33-jkms-36-e246" ref-type="bibr">33</xref><xref rid="B34-jkms-36-e246" ref-type="bibr">34</xref><xref rid="B35-jkms-36-e246" ref-type="bibr">35</xref> we will demonstrate the value of quantitative IGRA in prediction of active TB disease and efficacy of LTBI treatment. Based on future analysis of the IGRA cohort, it is feasible to prepare and implement more evidence-based LTBI strategies, which may contribute to TB elimination in South Korea.</p><sec sec-type="other1"><title>Ethics statement</title><p>The present study protocol was reviewed and approved by the Institutional Review Boards of Incheon St. Mary's Hospital, the Catholic University of Korea (IRB No. OC19ZESE0023). Korea Disease Control and Prevention Agency collected informed consent of all participants when they were enrolled according to Tuberculosis Prevention Act.</p></sec></body><back><fn-group><fn fn-type="supported-by"><p><bold>Funding:</bold> The work was supported by the Research Program funded by the Korea Disease Control and Prevention Agency (2020E310100). The funder had no role in the study design and conduct, data analysis and interpretation or preparation of the manuscript.</p></fn><fn fn-type="COI-statement"><p><bold>Disclosure:</bold> The authors have no potential conflicts of interest to disclose.</p></fn><fn fn-type="con"><p><bold>Author Contributions:</bold>
<list list-type="simple"><list-item><p><bold>Conceptualization:</bold> Kim JS.</p></list-item><list-item><p><bold>Formal analysis:</bold> Kim HW, Lee Y.</p></list-item><list-item><p><bold>Investigation:</bold> Choi JY, Shin AY, Lee Y, Kang JY, Lee SS, Park JS.</p></list-item><list-item><p><bold>Methodology:</bold> Myong JP, Yim HW, Jeong H, Bae S.</p></list-item><list-item><p><bold>Project administration:</bold> Shim E, In H, Chun C, Kim G.</p></list-item><list-item><p><bold>Writing - original draft preparation:</bold> Kim HW, Min J.</p></list-item><list-item><p><bold>Writing - review &amp; editing:</bold> Min J, Kim JS.</p></list-item></list>
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person-group-type="author"><name><surname>Winje</surname><given-names>BA</given-names></name><name><surname>White</surname><given-names>R</given-names></name><name><surname>Syre</surname><given-names>H</given-names></name><name><surname>Skutlaberg</surname><given-names>DH</given-names></name><name><surname>Oftung</surname><given-names>F</given-names></name><name><surname>Mengshoel</surname><given-names>AT</given-names></name><etal/></person-group><article-title>Stratification by interferon-&#x3B3; release assay level predicts risk of incident TB</article-title><source>Thorax</source><year>2018</year><volume>73</volume><issue>7</issue><fpage>652</fpage><lpage>661</lpage></element-citation></ref></ref-list></back><floats-group><fig fig-type="figure" id="F1-jkms-36-e246" orientation="portrait" position="float"><label>Fig. 1</label><caption><title>Flow chart showing the process of IGRA cohort constitution. Number of source population, participation rate of LTBI testing and that of IGRA by each congregate setting were presented.</title><p>IGRA = Interferon-gamma release assay, LTBI = latent tuberculosis infection, TST = tuberculin skin test, NHID = National Health Information Database, TB = tuberculosis.</p></caption><graphic xlink:href="jkms-36-e246-g001"/></fig><table-wrap id="T1-jkms-36-e246" orientation="portrait" position="float"><label>Table 1</label><caption><title>Baseline demographic features of participants enrolled in IGRA cohort</title></caption><alternatives><graphic xlink:href="jkms-36-e246-i001"/><table frame="hsides" rules="rows"><col width="1.65%" span="1"/><col width="13.91%" span="1"/><col width="10.33%" span="1"/><col width="12.12%" span="1"/><col width="10.33%" span="1"/><col width="10.33%" span="1"/><col width="10.33%" span="1"/><col width="10.33%" span="1"/><col width="10.33%" span="1"/><col width="10.33%" span="1"/><thead><tr><th align="left" colspan="2" rowspan="2" style="background-color:rgb(211,212,235)" valign="top">Variables</th><th align="center" colspan="8" rowspan="1" style="background-color:rgb(211,212,235)" valign="top">Congregate settings</th></tr><tr><th align="center" colspan="1" rowspan="1" style="background-color:rgb(211,212,235)" valign="top">Workers of social welfare institutions (n = 109,209)</th><th align="center" colspan="1" rowspan="1" style="background-color:rgb(211,212,235)" valign="top">Workers of educational institutions (n = 331,513)</th><th align="center" colspan="1" rowspan="1" style="background-color:rgb(211,212,235)" valign="top">Workers of medical institutions (n = 284,077)</th><th align="center" colspan="1" rowspan="1" style="background-color:rgb(211,212,235)" valign="top">Out-of-school youths (n = 1,700)</th><th align="center" colspan="1" rowspan="1" style="background-color:rgb(211,212,235)" valign="top">First year students in high school (n = 270,524)</th><th align="center" colspan="1" rowspan="1" style="background-color:rgb(211,212,235)" valign="top">Workers of postpartum care centers (n = 3,672)</th><th align="center" colspan="1" rowspan="1" style="background-color:rgb(211,212,235)" valign="top">Inmates of correctional facilities (n = 11,511)</th><th align="center" colspan="1" rowspan="1" style="background-color:rgb(211,212,235)" valign="top">Total (n = 1,012,206)</th></tr></thead><tbody><tr><td align="left" colspan="2" rowspan="1" valign="top">Age, yr</td><td align="center" colspan="1" rowspan="1" valign="top"/><td align="center" colspan="1" rowspan="1" valign="top"/><td align="center" colspan="1" rowspan="1" valign="top"/><td align="center" colspan="1" rowspan="1" valign="top"/><td align="center" colspan="1" rowspan="1" valign="top"/><td align="center" colspan="1" rowspan="1" valign="top"/><td align="center" colspan="1" rowspan="1" valign="top"/><td align="center" colspan="1" rowspan="1" valign="top"/></tr><tr><td align="left" colspan="1" rowspan="1" valign="top"/><td align="left" colspan="1" rowspan="1" valign="top">&lt; 30</td><td align="center" colspan="1" rowspan="1" valign="top">12,787 (11.7)</td><td align="center" colspan="1" rowspan="1" valign="top">67,858 (20.5)</td><td align="center" colspan="1" rowspan="1" valign="top">90,899 (32.0)</td><td align="center" colspan="1" rowspan="1" valign="top">1,679 (98.8)</td><td align="center" colspan="1" rowspan="1" valign="top">270,453 (100.0)</td><td align="center" colspan="1" rowspan="1" valign="top">243 (6.6)</td><td align="center" colspan="1" rowspan="1" valign="top">1,626 (14.1)</td><td align="center" colspan="1" rowspan="1" valign="top">445,545 (44.0)</td></tr><tr><td align="left" colspan="1" rowspan="1" valign="top"/><td align="left" colspan="1" rowspan="1" valign="top">30&#x2013;39</td><td align="center" colspan="1" rowspan="1" valign="top">15,467 (14.2)</td><td align="center" colspan="1" rowspan="1" valign="top">83,423 (25.2)</td><td align="center" colspan="1" rowspan="1" valign="top">75,475 (26.6)</td><td align="center" colspan="1" rowspan="1" valign="top">11 (0.6)</td><td align="center" colspan="1" rowspan="1" valign="top">17 (0.0)</td><td align="center" colspan="1" rowspan="1" valign="top">521 (14.2)</td><td align="center" colspan="1" rowspan="1" valign="top">2,753 (23.9)</td><td align="center" colspan="1" rowspan="1" valign="top">177,667 (17.6)</td></tr><tr><td align="left" colspan="1" rowspan="1" valign="top"/><td align="left" colspan="1" rowspan="1" valign="top">40&#x2013;49</td><td align="center" colspan="1" rowspan="1" valign="top">23,994 (22.0)</td><td align="center" colspan="1" rowspan="1" valign="top">120,296 (36.3)</td><td align="center" colspan="1" rowspan="1" valign="top">61,651 (21.7)</td><td align="center" colspan="1" rowspan="1" valign="top">8 (0.5)</td><td align="center" colspan="1" rowspan="1" valign="top">17 (0.0)</td><td align="center" colspan="1" rowspan="1" valign="top">1,085 (29.5)</td><td align="center" colspan="1" rowspan="1" valign="top">3,183 (27.7)</td><td align="center" colspan="1" rowspan="1" valign="top">210,234 (20.8)</td></tr><tr><td align="left" colspan="1" rowspan="1" valign="top"/><td align="left" colspan="1" rowspan="1" valign="top">50&#x2013;59</td><td align="center" colspan="1" rowspan="1" valign="top">38,363 (35.1)</td><td align="center" colspan="1" rowspan="1" valign="top">49,818 (15.0)</td><td align="center" colspan="1" rowspan="1" valign="top">41,165 (14.5)</td><td align="center" colspan="1" rowspan="1" valign="top">2 (0.1)</td><td align="center" colspan="1" rowspan="1" valign="top">31 (0.0)</td><td align="center" colspan="1" rowspan="1" valign="top">1,311 (35.7)</td><td align="center" colspan="1" rowspan="1" valign="top">2,887 (25.1)</td><td align="center" colspan="1" rowspan="1" valign="top">133,577 (13.2)</td></tr><tr><td align="left" colspan="1" rowspan="1" valign="top"/><td align="left" colspan="1" rowspan="1" valign="top">&#x2265; 60</td><td align="center" colspan="1" rowspan="1" valign="top">18,598 (17.0)</td><td align="center" colspan="1" rowspan="1" valign="top">10,118 (3.1)</td><td align="center" colspan="1" rowspan="1" valign="top">14,887 (5.2)</td><td align="center" colspan="1" rowspan="1" valign="top">0 (0.0)</td><td align="center" colspan="1" rowspan="1" valign="top">6 (0.0)</td><td align="center" colspan="1" rowspan="1" valign="top">512 (13.9)</td><td align="center" colspan="1" rowspan="1" valign="top">1,062 (9.2)</td><td align="center" colspan="1" rowspan="1" valign="top">45,183 (4.5)</td></tr><tr><td align="left" colspan="2" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">Sex</td><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top"/><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top"/><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top"/><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top"/><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top"/><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top"/><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top"/><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top"/></tr><tr><td align="left" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top"/><td align="left" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">Male</td><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">21,619 (19.8)</td><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">14,432 (4.4)</td><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">65,638 (23.1)</td><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">921 (54.2)</td><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">150,602 (55.7)</td><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">118 (3.2)</td><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">10,798 (93.8)</td><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">264,128 (26.1)</td></tr><tr><td align="left" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top"/><td align="left" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">Female</td><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">87,590 (80.2)</td><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">317,081 (95.6)</td><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">218,439 (76.9)</td><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">779 (45.8)</td><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">119,922 (44.3)</td><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">3,554 (96.8)</td><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">713 (6.2)</td><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">748,078 (73.9)</td></tr><tr><td align="left" colspan="2" rowspan="1" valign="top">Income level<sup>a</sup>
</td><td align="center" colspan="1" rowspan="1" valign="top"/><td align="center" colspan="1" rowspan="1" valign="top"/><td align="center" colspan="1" rowspan="1" valign="top"/><td align="center" colspan="1" rowspan="1" valign="top"/><td align="center" colspan="1" rowspan="1" valign="top"/><td align="center" colspan="1" rowspan="1" valign="top"/><td align="center" colspan="1" rowspan="1" valign="top"/><td align="center" colspan="1" rowspan="1" valign="top"/></tr><tr><td align="left" colspan="1" rowspan="1" valign="top"/><td align="left" colspan="1" rowspan="1" valign="top">Medicaid group</td><td align="center" colspan="1" rowspan="1" valign="top">1,016 (0.9)</td><td align="center" colspan="1" rowspan="1" valign="top">1,058 (0.3)</td><td align="center" colspan="1" rowspan="1" valign="top">557 (0.2)</td><td align="center" colspan="1" rowspan="1" valign="top">163 (9.7)</td><td align="center" colspan="1" rowspan="1" valign="top">10,218 (3.8)</td><td align="center" colspan="1" rowspan="1" valign="top">29 (0.8)</td><td align="center" colspan="1" rowspan="1" valign="top">806 (7.6)</td><td align="center" colspan="1" rowspan="1" valign="top">13,847 (1.4)</td></tr><tr><td align="left" colspan="1" rowspan="1" valign="top"/><td align="left" colspan="1" rowspan="1" valign="top">Low</td><td align="center" colspan="1" rowspan="1" valign="top">37,410 (34.7)</td><td align="center" colspan="1" rowspan="1" valign="top">158,317 (48.4)</td><td align="center" colspan="1" rowspan="1" valign="top">39,123 (14.1)</td><td align="center" colspan="1" rowspan="1" valign="top">379 (22.6)</td><td align="center" colspan="1" rowspan="1" valign="top">47,303 (17.8)</td><td align="center" colspan="1" rowspan="1" valign="top">1,297 (35.7)</td><td align="center" colspan="1" rowspan="1" valign="top">4,600 (43.2)</td><td align="center" colspan="1" rowspan="1" valign="top">288,429 (29.0)</td></tr><tr><td align="left" colspan="1" rowspan="1" valign="top"/><td align="left" colspan="1" rowspan="1" valign="top">Moderate low</td><td align="center" colspan="1" rowspan="1" valign="top">35,714 (33.1)</td><td align="center" colspan="1" rowspan="1" valign="top">96,832 (29.6)</td><td align="center" colspan="1" rowspan="1" valign="top">75,830 (27.3)</td><td align="center" colspan="1" rowspan="1" valign="top">243 (14.5)</td><td align="center" colspan="1" rowspan="1" valign="top">39,300 (14.8)</td><td align="center" colspan="1" rowspan="1" valign="top">1,233 (34.0)</td><td align="center" colspan="1" rowspan="1" valign="top">2,150 (20.2)</td><td align="center" colspan="1" rowspan="1" valign="top">251,302 (25.3)</td></tr><tr><td align="left" colspan="1" rowspan="1" valign="top"/><td align="left" colspan="1" rowspan="1" valign="top">Moderate high</td><td align="center" colspan="1" rowspan="1" valign="top">25,283 (23.4)</td><td align="center" colspan="1" rowspan="1" valign="top">39,446 (12.1)</td><td align="center" colspan="1" rowspan="1" valign="top">91,161 (32.8)</td><td align="center" colspan="1" rowspan="1" valign="top">297 (17.7)</td><td align="center" colspan="1" rowspan="1" valign="top">54,642 (20.5)</td><td align="center" colspan="1" rowspan="1" valign="top">656 (18.1)</td><td align="center" colspan="1" rowspan="1" valign="top">1,555 (14.6)</td><td align="center" colspan="1" rowspan="1" valign="top">213,040 (21.4)</td></tr><tr><td align="left" colspan="1" rowspan="1" valign="top"/><td align="left" colspan="1" rowspan="1" valign="top">High</td><td align="center" colspan="1" rowspan="1" valign="top">8,421 (7.8)</td><td align="center" colspan="1" rowspan="1" valign="top">31,205 (9.5)</td><td align="center" colspan="1" rowspan="1" valign="top">71,441 (25.7)</td><td align="center" colspan="1" rowspan="1" valign="top">593 (35.4)</td><td align="center" colspan="1" rowspan="1" valign="top">114,694 (43.1)</td><td align="center" colspan="1" rowspan="1" valign="top">415 (11.4)</td><td align="center" colspan="1" rowspan="1" valign="top">1,529 (14.4)</td><td align="center" colspan="1" rowspan="1" valign="top">228,298 (22.9)</td></tr><tr><td align="left" colspan="2" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">Place of residence<sup>b</sup>
</td><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top"/><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top"/><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top"/><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top"/><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top"/><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top"/><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top"/><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top"/></tr><tr><td align="left" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top"/><td align="left" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">Metropolitan city</td><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">48,658 (44.6)</td><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">196,918 (59.4)</td><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">193,169 (68.0)</td><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">858 (50.5)</td><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">160,521 (59.4)</td><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">2,344 (64.0)</td><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">6,093 (58.5)</td><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">608,561 (60.2)</td></tr><tr><td align="left" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top"/><td align="left" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">Small to medium-sized city</td><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">42,109 (38.6)</td><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">111,169 (33.5)</td><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">72,246 (25.5)</td><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">578 (34)</td><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">83,952 (31.1)</td><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">1,238 (33.8)</td><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">3,324 (31.9)</td><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">314,616 (31.1)</td></tr><tr><td align="left" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top"/><td align="left" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">Rural area</td><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">18,400 (16.9)</td><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">23,381 (7.1)</td><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">18,451 (6.5)</td><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">263 (15.5)</td><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">25,836 (9.6)</td><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">83 (2.3)</td><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">994 (9.5)</td><td align="center" colspan="1" rowspan="1" style="background-color:rgb(224,224,241)" valign="top">87,408 (8.6)</td></tr></tbody></table></alternatives><table-wrap-foot><p>Data were expressed as number and column percentage.</p><p>IGRA = interferon-gamma release assay.</p><p><sup>a</sup>Number of missing value was 17,290; <sup>b</sup>Number of missing value was 1,621.</p></table-wrap-foot></table-wrap></floats-group></article>
