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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Measuring Prevalence and Correlates of Concurrent Sexual Partnerships Among Young Sexually Active Men in Kisumu, Kenya</title><author><name sortKey="Westercamp, Nelli" sort="Westercamp, Nelli" uniqKey="Westercamp N" first="Nelli" last="Westercamp">Nelli Westercamp</name></author><author><name sortKey="Mattson, Christine L" sort="Mattson, Christine L" uniqKey="Mattson C" first="Christine L." last="Mattson">Christine L. Mattson</name></author><author><name sortKey="Bailey, Robert C" sort="Bailey, Robert C" uniqKey="Bailey R" first="Robert C." last="Bailey">Robert C. Bailey</name></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">23532398</idno><idno type="pmc">3758385</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3758385</idno><idno type="RBID">PMC:3758385</idno><idno type="doi">10.1007/s10461-013-0457-5</idno><date when="2013">2013</date><idno type="wicri:Area/Pmc/Corpus">001F72</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">001F72</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Measuring Prevalence and Correlates of Concurrent Sexual Partnerships Among Young Sexually Active Men in Kisumu, Kenya</title><author><name sortKey="Westercamp, Nelli" sort="Westercamp, Nelli" uniqKey="Westercamp N" first="Nelli" last="Westercamp">Nelli Westercamp</name></author><author><name sortKey="Mattson, Christine L" sort="Mattson, Christine L" uniqKey="Mattson C" first="Christine L." last="Mattson">Christine L. Mattson</name></author><author><name sortKey="Bailey, Robert C" sort="Bailey, Robert C" uniqKey="Bailey R" first="Robert C." last="Bailey">Robert C. Bailey</name></author></analytic><series><title level="j">AIDS and behavior</title><idno type="ISSN">1090-7165</idno><idno type="eISSN">1573-3254</idno><imprint><date when="2013">2013</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p id="P1">Our objectives were to: (1) compare multiple measures of partnership concurrency, including the UNAIDS-recommended definition and (2) describe the prevalence and correlates of concurrent sexual partnerships among young Kenyan men. We analyzed 10,907 lifetime partnerships of 1,368 men ages 18–24 years enrolled in a randomized trial of male circumcision to reduce HIV-1 incidence in Kisumu. Partnership concurrency was determined by overlapping dates and examined over varying recall periods and assumptions. The lifetime prevalence of concurrency was 77 %. Sixty-one percent of all partnerships were concurrent and factors associated with concurrency differed by partner type. Point prevalence of concurrency at the time of the interview was consistently the highest and UNAIDS-recommended definition was the most conservative (25 vs. 18 % at baseline, respectively). Estimates of concurrency were influenced by methods for definition and measurement. Regardless of definition, concurrent partnerships are frequent in this population of young, sexually active men in high HIV prevalence Kisumu, Kenya.</p></div></front></TEI><pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<pmc-dir>properties manuscript</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-journal-id">9712133</journal-id><journal-id journal-id-type="pubmed-jr-id">21042</journal-id><journal-id journal-id-type="nlm-ta">AIDS Behav</journal-id><journal-id journal-id-type="iso-abbrev">AIDS Behav</journal-id><journal-title-group><journal-title>AIDS and behavior</journal-title></journal-title-group><issn pub-type="ppub">1090-7165</issn><issn pub-type="epub">1573-3254</issn></journal-meta><article-meta><article-id pub-id-type="pmid">23532398</article-id><article-id pub-id-type="pmc">3758385</article-id><article-id pub-id-type="doi">10.1007/s10461-013-0457-5</article-id><article-id pub-id-type="manuscript">NIHMS460802</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Measuring Prevalence and Correlates of Concurrent Sexual Partnerships Among Young Sexually Active Men in Kisumu, Kenya</article-title></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name><surname>Westercamp</surname><given-names>Nelli</given-names></name><email>nweste1@uic.edu</email></contrib><contrib contrib-type="author"><name><surname>Mattson</surname><given-names>Christine L.</given-names></name></contrib><contrib contrib-type="author"><name><surname>Bailey</surname><given-names>Robert C.</given-names></name></contrib><aff id="A1">Division of Epidemiology and Biostatistics, School of Public Health, University of Illinois Chicago, 1603 W. Taylor St., MC 923, Chicago, IL 60612, USA</aff></contrib-group><pub-date pub-type="nihms-submitted"><day>7</day><month>5</month><year>2013</year></pub-date><pub-date pub-type="ppub"><month>11</month><year>2013</year></pub-date><pub-date pub-type="pmc-release"><day>01</day><month>11</month><year>2014</year></pub-date><volume>17</volume><issue>9</issue><elocation-id>10.1007/s10461-013-0457-5</elocation-id><permissions><copyright-statement>© Springer Science+Business Media New York 2013</copyright-statement><copyright-year>2013</copyright-year></permissions><abstract><p id="P1">Our objectives were to: (1) compare multiple measures of partnership concurrency, including the UNAIDS-recommended definition and (2) describe the prevalence and correlates of concurrent sexual partnerships among young Kenyan men. We analyzed 10,907 lifetime partnerships of 1,368 men ages 18–24 years enrolled in a randomized trial of male circumcision to reduce HIV-1 incidence in Kisumu. Partnership concurrency was determined by overlapping dates and examined over varying recall periods and assumptions. The lifetime prevalence of concurrency was 77 %. Sixty-one percent of all partnerships were concurrent and factors associated with concurrency differed by partner type. Point prevalence of concurrency at the time of the interview was consistently the highest and UNAIDS-recommended definition was the most conservative (25 vs. 18 % at baseline, respectively). Estimates of concurrency were influenced by methods for definition and measurement. Regardless of definition, concurrent partnerships are frequent in this population of young, sexually active men in high HIV prevalence Kisumu, Kenya.</p></abstract><kwd-group><kwd>Sexual concurrency</kwd><kwd>Concurrent partnerships</kwd><kwd>Multiple sexual partners</kwd><kwd>Kenya</kwd><kwd>HIV prevention</kwd></kwd-group><funding-group><award-group><funding-source country="United States">National Institute of Allergy and Infectious Diseases Extramural Activities : NIAID</funding-source><award-id>U01 AI050440 || AI</award-id></award-group></funding-group></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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