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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.3" xml:lang="en" article-type="brief-report"><?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">Emerg Infect Dis</journal-id><journal-id journal-id-type="iso-abbrev">Emerg Infect Dis</journal-id><journal-id journal-id-type="publisher-id">EID</journal-id><journal-title-group><journal-title>Emerging Infectious Diseases</journal-title></journal-title-group><issn pub-type="ppub">1080-6040</issn><issn pub-type="epub">1080-6059</issn><publisher><publisher-name>Centers for Disease Control and Prevention</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">37347846</article-id><article-id pub-id-type="pmc">10310369</article-id><article-id pub-id-type="publisher-id">23-0324</article-id><article-id pub-id-type="doi">10.3201/eid2907.230324</article-id><article-categories><subj-group subj-group-type="heading"><subject>Dispatch</subject></subj-group><subj-group subj-group-type="article-type"><subject>Dispatch</subject></subj-group><subj-group subj-group-type="TOC-title"><subject>Tuberculosis Infection among Non&#x02013;US-Born Persons and Persons &#x02265;60 Years of Age, United States, 2019&#x02013;2020</subject></subj-group></article-categories><title-group><article-title>Tuberculosis Infection among Non&#x02013;US-Born Persons and Persons &#x02265;60 Years of Age, United States, 2019&#x02013;2020</article-title><alt-title alt-title-type="running-head">Tuberculosis Infection, United States, 2019&#x02013;2020</alt-title></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name><surname>Woodruff</surname><given-names>Rachel</given-names></name></contrib><contrib contrib-type="author"><name><surname>Miramontes</surname><given-names>Roque</given-names></name></contrib><aff id="aff1">Centers for Disease Control and Prevention, Atlanta, Georgia, USA </aff></contrib-group><author-notes><corresp id="cor1">Address for correspondence: Rachel Woodruff, Centers for Disease Control and Prevention, 1600 Clifton Road NE, Mailstop H24-4, Atlanta, GA 30329-4027, USA; email: <email xlink:href="zex5@cdc.gov">zex5@cdc.gov</email>
</corresp></author-notes><pub-date pub-type="ppub"><month>7</month><year>2023</year></pub-date><volume>29</volume><issue>7</issue><fpage>1470</fpage><lpage>1472</lpage><permissions><copyright-year>2023</copyright-year><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/" specific-use="textmining" content-type="ccbylicense">https://creativecommons.org/licenses/by/4.0/</ali:license_ref><license-p>Emerging Infectious Diseases is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.</license-p></license></permissions><abstract><p>We examined tuberculosis (TB) infection results for the United States from the 2019&#x02013;2020 National Health and Nutrition Examination Survey. Over this period, 10% of non&#x02013;US-born persons and 7% of those <underline>&#x0003e;</underline>60 years of age tested positive for TB infection. These results provide up-to-date information on TB infection among study subpopulations. </p></abstract><kwd-group kwd-group-type="author"><title>Keywords: </title><kwd>tuberculosis and other mycobacteria</kwd><kwd>latent tuberculosis infection</kwd><kwd>LTBI</kwd><kwd>tuberculosis disease</kwd><kwd>non&#x02013;US-born</kwd><kwd>NHANES</kwd><kwd>bacteria</kwd><kwd>respiratory infections</kwd><kwd>United States</kwd></kwd-group></article-meta></front><body><p>Each year, the Centers for Disease Control and Prevention (CDC) collects demographic and clinical data for tuberculosis (TB) disease cases reported from all 50 states and the District of Columbia (<xref rid="R1" ref-type="bibr"><italic>1</italic></xref>). Studies that examined the completeness and accuracy of the national TB surveillance system found that this reporting consistently and accurately captured close to 100% of all diagnosed cases and is therefore highly representative of the burden of TB disease in the United States (<xref rid="R2" ref-type="bibr"><italic>2</italic></xref><italic>&#x02013;</italic><xref rid="R4" ref-type="bibr"><italic>4</italic></xref>).</p><p>The precursor to TB disease, latent TB infection (LTBI), is not a reportable condition in most US states (<xref rid="R5" ref-type="bibr"><italic>5</italic></xref>), so the number of infected persons is not well understood. Beginning in 1970, CDC funded a TB component of several National Health and Nutrition Examination Surveys (NHANES) that provide the primary source of national data on LTBI in the US population (<xref rid="R6" ref-type="bibr"><italic>6</italic></xref><italic>&#x02013;</italic><xref rid="R8" ref-type="bibr"><italic>8</italic></xref>). Most recently, CDC provided funding for the 2019&#x02013;2020 NHANES survey to examine LTBI among non&#x02013;US-born persons <underline>&#x0003e;</underline>6 years of age and all persons <underline>&#x0003e;</underline>60 years of age. The 2019&#x02013;2020 NHANES protocol was reviewed and approved by the NCHS Ethics Review Board (<ext-link xlink:href="https://www.cdc.gov/nchs/nhanes/irba98.htm" ext-link-type="uri">https://www.cdc.gov/nchs/nhanes/irba98.htm</ext-link>).</p><p>NHANES is a series of sequentially run cross-sectional surveys that assess the health of the civilian, noninstitutionalized US population (<xref rid="R9" ref-type="bibr"><italic>9</italic></xref>). To obtain a nationally representative sample, NHANES employs a complex, stratified, multistage probability cluster sampling design (<xref rid="R9" ref-type="bibr"><italic>9</italic></xref>). The sample for the NHANES 2019&#x02013;2020 survey cycle was intended to be nationally representative and included 30 primary sampling units (<xref rid="R10" ref-type="bibr"><italic>10</italic></xref>). However, 2019&#x02013;2020 NHANES data collection was suspended in mid-March 2020 because of the COVID-19 pandemic. At that time, data collection had been completed in only 18 of 30 primary sampling units. Because data collection was incomplete, calculating survey weights for that partial cycle was not possible, and the sample was therefore not nationally representative. As a result, only an unweighted partial dataset from the Centers for Disease Control and Prevention&#x02019;s National Center for Health Statistics (NCHS) Research Data Center was available for analysis. </p><sec sec-type="other1"><title>The Study </title><p>Non&#x02013;US-born 2019&#x02013;2020 NHANES study participants <underline>&#x0003e;</underline>6 years of age and all study participants <underline>&#x0003e;</underline>60 years of age were eligible to be tested for TB infection using an interferon-gamma release assay (IGRA), QuantiFERON-TB Gold Plus (QIAGEN, <ext-link xlink:href="https://www.qiagen.com" ext-link-type="uri">https://www.qiagen.com</ext-link>). We selected those specific subpopulations of persons because of their high IGRA test positivity in previous studies (<xref rid="R8" ref-type="bibr"><italic>8</italic></xref><italic>,</italic><xref rid="R11" ref-type="bibr"><italic>11</italic></xref>), the potential for complications of TB disease in the <underline>&#x0003e;</underline>60 age group, and the high risk of LTBI progressing to TB disease among non&#x02013;US-born persons (<xref rid="R11" ref-type="bibr"><italic>11</italic></xref>). We excluded persons in those subpopulations who did not undergo phlebotomy as part of the routine NHANES exam. Data for coexisting conditions were not available in the 2019&#x02013;2020 NHANES dataset (<xref rid="R12" ref-type="bibr"><italic>12</italic></xref>). All IGRA test results were provided by a single Clinical Laboratory Improvement Act&#x02013;certified laboratory. Qualitative results were reported for each IGRA test result based on criteria provided by the manufacturer. We used R statistical software (The R Foundation for Statistical Computing, <ext-link xlink:href="https://www.R-project.org" ext-link-type="uri">https://www.R-project.org</ext-link>) to obtain frequencies and percentages of eligible NHANES participants with positive TB test results by demographic characteristics. Because of NCHS confidentiality policy, Research Data Center results were suppressed for all categories and subcategories that had &#x0003c;5 responses (<xref rid="R13" ref-type="bibr"><italic>13</italic></xref>). </p><p>In the 2019&#x02013;2020 NHANES study, 837 non&#x02013;US-born participants <underline>&#x0003e;</underline>6 years of age were tested for TB infection, of whom 85 (10%) had positive TB test results (<xref rid="T1" ref-type="table">Table</xref>). Among non&#x02013;US-born study participants who tested positive for TB, 51% (43/85) identified as non-Hispanic Asian and 35% (30) as Hispanic; 79% (67) had been in the United States for <underline>&#x0003e;</underline>5 years. In comparison, among all non&#x02013;US-born study participants (irrespective of TB test results), 35% (290) identified as non-Hispanic Asian and 43% (356) as Hispanic. </p><table-wrap position="float" id="T1"><label>Table</label><caption><title>Characteristics of non&#x02013;US-born study participants &#x0003e;6 y of age and all study participants <underline>&#x0003e;</underline>60 years of age who were eligible for TB testing, United States, 2019&#x02013;2020*</title></caption><table frame="hsides" rules="groups"><col width="175" span="1"/><col width="81" span="1"/><col width="72" span="1"/><col width="9" span="1"/><col width="72" span="1"/><col width="72" span="1"/><thead><tr><th rowspan="2" valign="bottom" align="left" scope="col" colspan="1">Characteristic</th><th valign="bottom" colspan="2" align="center" scope="colgroup" rowspan="1">Non&#x02013;US-born persons &#x02265;6 y, no. (%)<hr/></th><th rowspan="2" valign="bottom" align="left" scope="col" colspan="1"/><th valign="bottom" colspan="2" align="center" scope="colgroup" rowspan="1">All persons &#x02265;60 y, no. (%)<hr/></th></tr><tr><th valign="bottom" colspan="1" align="center" scope="colgroup" rowspan="1">Positive TB test</th><th valign="bottom" align="center" scope="col" rowspan="1" colspan="1">All</th><th valign="bottom" colspan="1" align="center" scope="colgroup" rowspan="1">Positive TB test</th><th valign="bottom" align="center" scope="col" rowspan="1" colspan="1">All</th></tr></thead><tbody><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">All participants<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">85 (100.0)<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">837 (100.0)<hr/></td><td valign="top" align="left" rowspan="1" colspan="1">
<hr/>
</td><td valign="top" align="center" rowspan="1" colspan="1">81 (100.0)<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">1,123 (100.0)<hr/></td></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1">Sex</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> M</td><td valign="top" align="center" rowspan="1" colspan="1">42 (49.4)</td><td valign="top" align="center" rowspan="1" colspan="1">408 (48.7)</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="center" rowspan="1" colspan="1">43 (53.1)</td><td valign="top" align="center" rowspan="1" colspan="1">582 (51.8)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> F<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">43 (50.6)<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">429 (51.3)<hr/></td><td valign="top" align="left" rowspan="1" colspan="1">
<hr/>
</td><td valign="top" align="center" rowspan="1" colspan="1">38 (46.9)<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">541 (48.2)<hr/></td></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1">Age group, y</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> 6&#x02013;14</td><td valign="top" align="center" rowspan="1" colspan="1">NA</td><td valign="top" align="center" rowspan="1" colspan="1">65 (7.8)</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="center" rowspan="1" colspan="1">NA</td><td valign="top" align="center" rowspan="1" colspan="1">NA</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> 15&#x02013;24</td><td valign="top" align="center" rowspan="1" colspan="1">NA</td><td valign="top" align="center" rowspan="1" colspan="1">72 (8.6)</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="center" rowspan="1" colspan="1">NA</td><td valign="top" align="center" rowspan="1" colspan="1">NA</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> 25&#x02013;44</td><td valign="top" align="center" rowspan="1" colspan="1">28 (32.9)</td><td valign="top" align="center" rowspan="1" colspan="1">278 (33.2)</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="center" rowspan="1" colspan="1">NA</td><td valign="top" align="center" rowspan="1" colspan="1">NA</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> 45&#x02013;59</td><td valign="top" align="center" rowspan="1" colspan="1">30 (35.3)</td><td valign="top" align="center" rowspan="1" colspan="1">244 (29.2)</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="center" rowspan="1" colspan="1">NA</td><td valign="top" align="center" rowspan="1" colspan="1">NA</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> &#x02265;60<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">24 (28.2)<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">178 (21.3)<hr/></td><td valign="top" align="left" rowspan="1" colspan="1">
<hr/>
</td><td valign="top" align="center" rowspan="1" colspan="1">81 (100.0)<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">1,123 (100.0)<hr/></td></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1">Race/ethnicity</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Non-Hispanic White</td><td valign="top" align="center" rowspan="1" colspan="1">NA</td><td valign="top" align="center" rowspan="1" colspan="1">55 (6.6)</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="center" rowspan="1" colspan="1">17 (21.0)</td><td valign="top" align="center" rowspan="1" colspan="1">495 (44.1)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Non-Hispanic Black/African American</td><td valign="top" align="center" rowspan="1" colspan="1">NA</td><td valign="top" align="center" rowspan="1" colspan="1">113 (13.5)</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="center" rowspan="1" colspan="1">35 (43.2)</td><td valign="top" align="center" rowspan="1" colspan="1">357 (31.8)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Hispanic/Mexican American</td><td valign="top" align="center" rowspan="1" colspan="1">30 (35.3)</td><td valign="top" align="center" rowspan="1" colspan="1">356 (42.5)</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="center" rowspan="1" colspan="1">19 (23.5)</td><td valign="top" align="center" rowspan="1" colspan="1">177 (15.8)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Non-Hispanic Asian</td><td valign="top" align="center" rowspan="1" colspan="1">43 (50.6)</td><td valign="top" align="center" rowspan="1" colspan="1">290 (34.6)</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="center" rowspan="1" colspan="1">NA</td><td valign="top" align="center" rowspan="1" colspan="1">55 (4.9)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Other<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">NA<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">23 (2.7)<hr/></td><td valign="top" align="left" rowspan="1" colspan="1">
<hr/>
</td><td valign="top" align="center" rowspan="1" colspan="1">NA<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">39 (3.5)<hr/></td></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1">Poverty</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> At or above poverty level</td><td valign="top" align="center" rowspan="1" colspan="1">60 (70.6)</td><td valign="top" align="center" rowspan="1" colspan="1">535 (63.9)</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="center" rowspan="1" colspan="1">51 (63.0)</td><td valign="top" align="center" rowspan="1" colspan="1">791 (70.4)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Below poverty level</td><td valign="top" align="center" rowspan="1" colspan="1">NA</td><td valign="top" align="center" rowspan="1" colspan="1">150 (17.9)</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="center" rowspan="1" colspan="1">14 (17.3)</td><td valign="top" align="center" rowspan="1" colspan="1">162 (14.4)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Unknown<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">NA<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">NA<hr/></td><td valign="top" align="left" rowspan="1" colspan="1">
<hr/>
</td><td valign="top" align="center" rowspan="1" colspan="1">16 (19.8)<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">170 (15.1)<hr/></td></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1">Education level</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> No high school diploma</td><td valign="top" align="center" rowspan="1" colspan="1">32 (37.6)</td><td valign="top" align="center" rowspan="1" colspan="1">312 (37.3)</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="center" rowspan="1" colspan="1">26 (32.1)</td><td valign="top" align="center" rowspan="1" colspan="1">230 (20.5)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> High school graduate</td><td valign="top" align="center" rowspan="1" colspan="1">17 (20.0)</td><td valign="top" align="center" rowspan="1" colspan="1">133 (15.9)</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="center" rowspan="1" colspan="1">23 (28.4)</td><td valign="top" align="center" rowspan="1" colspan="1">300 (26.7)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Beyond high school</td><td valign="top" align="center" rowspan="1" colspan="1">36 (42.4)</td><td valign="top" align="center" rowspan="1" colspan="1">391 (46.7)</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="center" rowspan="1" colspan="1">32 (39.5)</td><td valign="top" align="center" rowspan="1" colspan="1">592 (52.7)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Unknown<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">NA<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">NA<hr/></td><td valign="top" align="left" rowspan="1" colspan="1">
<hr/>
</td><td valign="top" align="center" rowspan="1" colspan="1">0<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">NA<hr/></td></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1">Birthplace</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Within United States</td><td valign="top" align="center" rowspan="1" colspan="1">0</td><td valign="top" align="center" rowspan="1" colspan="1">0</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="center" rowspan="1" colspan="1">57 (70.4)</td><td valign="top" align="center" rowspan="1" colspan="1">945 (84.1)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Outside United States<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">85 (100.0)<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">837 (100.0)<hr/></td><td valign="top" align="left" rowspan="1" colspan="1">
<hr/>
</td><td valign="top" align="center" rowspan="1" colspan="1">24 (29.6)<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">178 (15.9)<hr/></td></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1">Time in the United States, y&#x02020;</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> &#x0003c;1</td><td valign="top" align="center" rowspan="1" colspan="1">NA</td><td valign="top" align="center" rowspan="1" colspan="1">29 (3.5)</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="center" rowspan="1" colspan="1">NA</td><td valign="top" align="center" rowspan="1" colspan="1">NA</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> 1&#x02013;4</td><td valign="top" align="center" rowspan="1" colspan="1">NA</td><td valign="top" align="center" rowspan="1" colspan="1">118 (14.1)</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="center" rowspan="1" colspan="1">NA</td><td valign="top" align="center" rowspan="1" colspan="1">6 (33.7)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> &#x02265;5</td><td valign="top" align="center" rowspan="1" colspan="1">67 (78.8)</td><td valign="top" align="center" rowspan="1" colspan="1">653 (78.0)</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="center" rowspan="1" colspan="1">20 (83.3)</td><td valign="top" align="center" rowspan="1" colspan="1">162 (91.0)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Unknown</td><td valign="top" align="center" rowspan="1" colspan="1">NA</td><td valign="top" align="center" rowspan="1" colspan="1">37 (4.4)</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="center" rowspan="1" colspan="1">NA</td><td valign="top" align="center" rowspan="1" colspan="1">6 (33.7)</td></tr></tbody></table><table-wrap-foot><p>*NA, not available (data not collected for this subpopulation or not reported because cell size &#x0003c;5).
&#x02020;Percentages were calculated using the numbers of persons born outside the United States as the denominator.</p></table-wrap-foot></table-wrap><p>Among the NHANES study participants who were <underline>&#x0003e;</underline>60 years of age (including both US-born and non&#x02013;US-born persons), 1,123 were tested for TB, among whom 81 (7%) had positive TB test results (<xref rid="T1" ref-type="table">Table</xref>). Among those who tested positive for TB, 43% (35) identified as non-Hispanic Black. Among study participants <underline>&#x0003e;</underline>60 years of age, those with TB-positive test results were less likely than the overall total to identify as non-Hispanic White (21% vs. 44%), more likely to be living in poverty (17.3% vs. 14.4%), less likely to have at least a high school diploma (32.1% vs. 20.5%), and more likely to have been born outside the United States (29.6% vs. 15.9%). </p><p>All TB-positive non&#x02013;US-born NHANES study participants <underline>&#x0003e;</underline>6 years of age and TB-positive participants <underline>&#x0003e;</underline>60 years of age were more likely to identify within racial and ethnic minority groups, not have at least a high school diploma, and be living in poverty than overall study participants in each of those subpopulations. In addition, participants <underline>&#x0003e;</underline>60 years of age who tested positive for TB were more likely to have been born outside the United States than overall study participants <underline>&#x0003e;</underline>60 years of age. Although not directly comparable across studies, data from our study about demographic differences between TB-positive and overall study participants for both subpopulations were consistent with previous research (<xref rid="R8" ref-type="bibr"><italic>8</italic></xref><italic>,</italic><xref rid="R11" ref-type="bibr"><italic>11</italic></xref>). </p><p>Comparing data between the 2019&#x02013;2020 and previous NHANES studies was also limited by a change in the way participants were classified into US-born or non&#x02013;US-born categories. For the 2019&#x02013;2020 survey cycle, NHANES study participants were considered US-born if born in a state or the District of Columbia within the United States or in a US-affiliated territory; for the 2011&#x02013;2012 study, participants born in a US-affiliated territory were considered non&#x02013;US-born. Because country of birth is one of the most critical stratification factors for examining characteristics of LTBI, defining country of birth consistently will be essential in future NHANES survey cycles that include TB testing. </p></sec><sec sec-type="conclusions"><title>Conclusions</title><p>Although the 2019&#x02013;2020 NHANES TB test results were not representative of the US population, study data still indicate that TB infection remains a critical health screening consideration among non&#x02013;US-born persons and persons <underline>&#x0003e;</underline>60 years of age. Therefore, persons in these subpopulations should be prioritized for TB testing and, if TB infection is diagnosed, treated with an appropriate regimen to prevent progression to active TB disease (<xref rid="R14" ref-type="bibr"><italic>14</italic></xref>,<xref rid="R15" ref-type="bibr"><italic>15</italic></xref>). Furthermore, the likely disruption of testing and treatment of TB infection that occurred because of the COVID pandemic suggests we still have much to do if we are to eliminate TB in the United States (<xref rid="R1" ref-type="bibr"><italic>1</italic></xref>). </p></sec></body><back><ack><title>Acknowledgments</title><p>We thank Wanjun Cui for her assistance. </p></ack><fn-group><fn fn-type="other"><p><italic>Suggested citation for this article</italic>: Woodruff R, Miramontes R. Latent tuberculosis infection among non&#x02013;US-born persons and persons &#x02265;60 years of age, United States, 2019&#x02013;2020. Emerg Infect Dis. 2023 Jul [<italic>date cited</italic>]. <ext-link xlink:href="https://doi.org/10.3201/eid2907.230324" ext-link-type="uri">https://doi.org/10.3201/eid2907.230324</ext-link></p></fn></fn-group><bio id="d64e680"><p>Ms. Woodruff is a health scientist with the Division of Tuberculosis Elimination, National Center for HIV, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta. She works on research and programmatic activities that support TB control and elimination in the United States. Mr. Miramontes is chief of the Data Management, Statistics and Evaluation Branch, Division of Tuberculosis Elimination, National Center for HIV, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta.</p></bio><ref-list><title>References</title><ref id="R1"><label>1. </label><mixed-citation publication-type="journal"><string-name><surname>Filardo</surname>
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