Age-gaps in sexual partnerships: seeing beyond ‘sugar daddies’
Identifieur interne : 001202 ( Pmc/Corpus ); précédent : 001201; suivant : 001203Age-gaps in sexual partnerships: seeing beyond ‘sugar daddies’
Auteurs : Miles Q. Ott ; Till B Rnighausen ; Frank Tanser ; Mark N. Lurie ; Marie-Louise NewellSource :
- AIDS (London, England) [ 0269-9370 ] ; 2011.
Abstract
We examine for the first time age-mixing in sexual relationships in a population with very high HIV incidence and prevalence in rural South Africa. The highest levels of age assortativity (the pairing of like with like) were casual partnerships reported by men, the lowest levels were spousal relationships reported by women. Given the age–sex distribution of HIV prevalence in this population, interventions to decrease age-gaps in spousal relationships may be effective in reducing HIV incidence.
Url:
DOI: 10.1097/QAD.0b013e32834344c9
PubMed: 21358377
PubMed Central: 3117250
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Ott</name><affiliation><nlm:aff id="A1">Africa Centre for Health and Population Studies, University of KwaZulu-Natal, Mtubatuba, South Africa</nlm:aff></affiliation><affiliation><nlm:aff id="A2">Department of Community Health and Medicine, Brown University, Providence, Rhode Island</nlm:aff></affiliation></author><author><name sortKey="B Rnighausen, Till" sort="B Rnighausen, Till" uniqKey="B Rnighausen T" first="Till" last="B Rnighausen">Till B Rnighausen</name><affiliation><nlm:aff id="A1">Africa Centre for Health and Population Studies, University of KwaZulu-Natal, Mtubatuba, South Africa</nlm:aff></affiliation><affiliation><nlm:aff id="A3">Department of Global Health and Population, Harvard School of Public Health, Boston, Massachusetts, USA</nlm:aff></affiliation></author><author><name sortKey="Tanser, Frank" sort="Tanser, Frank" uniqKey="Tanser F" first="Frank" last="Tanser">Frank Tanser</name><affiliation><nlm:aff id="A1">Africa Centre for Health and Population Studies, University of KwaZulu-Natal, Mtubatuba, South Africa</nlm:aff></affiliation></author><author><name sortKey="Lurie, Mark N" sort="Lurie, Mark N" uniqKey="Lurie M" first="Mark N." last="Lurie">Mark N. 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Ott</name><affiliation><nlm:aff id="A1">Africa Centre for Health and Population Studies, University of KwaZulu-Natal, Mtubatuba, South Africa</nlm:aff></affiliation><affiliation><nlm:aff id="A2">Department of Community Health and Medicine, Brown University, Providence, Rhode Island</nlm:aff></affiliation></author><author><name sortKey="B Rnighausen, Till" sort="B Rnighausen, Till" uniqKey="B Rnighausen T" first="Till" last="B Rnighausen">Till B Rnighausen</name><affiliation><nlm:aff id="A1">Africa Centre for Health and Population Studies, University of KwaZulu-Natal, Mtubatuba, South Africa</nlm:aff></affiliation><affiliation><nlm:aff id="A3">Department of Global Health and Population, Harvard School of Public Health, Boston, Massachusetts, USA</nlm:aff></affiliation></author><author><name sortKey="Tanser, Frank" sort="Tanser, Frank" uniqKey="Tanser F" first="Frank" last="Tanser">Frank Tanser</name><affiliation><nlm:aff id="A1">Africa Centre for Health and Population Studies, University of KwaZulu-Natal, Mtubatuba, South Africa</nlm:aff></affiliation></author><author><name sortKey="Lurie, Mark N" sort="Lurie, Mark N" uniqKey="Lurie M" first="Mark N." last="Lurie">Mark N. Lurie</name><affiliation><nlm:aff id="A2">Department of Community Health and Medicine, Brown University, Providence, Rhode Island</nlm:aff></affiliation></author><author><name sortKey="Newell, Marie Louise" sort="Newell, Marie Louise" uniqKey="Newell M" first="Marie-Louise" last="Newell">Marie-Louise Newell</name><affiliation><nlm:aff id="A1">Africa Centre for Health and Population Studies, University of KwaZulu-Natal, Mtubatuba, South Africa</nlm:aff></affiliation><affiliation><nlm:aff id="A4">Centre for Paediatric Epidemiology and Biostatistics, UCL Institute of Child Health, London, UK.</nlm:aff></affiliation></author></analytic><series><title level="j">AIDS (London, England)</title><idno type="ISSN">0269-9370</idno><idno type="eISSN">1473-5571</idno><imprint><date when="2011">2011</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p id="P1">We examine for the first time age-mixing in sexual relationships in a population with very high HIV incidence and prevalence in rural South Africa. The highest levels of age assortativity (the pairing of like with like) were casual partnerships reported by men, the lowest levels were spousal relationships reported by women. Given the age–sex distribution of HIV prevalence in this population, interventions to decrease age-gaps in spousal relationships may be effective in reducing HIV incidence.</p></div></front></TEI><pmc article-type="research-article" xml:lang="en"><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">8710219</journal-id><journal-id journal-id-type="pubmed-jr-id">1493</journal-id><journal-id journal-id-type="nlm-ta">AIDS</journal-id><journal-title-group><journal-title>AIDS (London, England)</journal-title></journal-title-group><issn pub-type="ppub">0269-9370</issn><issn pub-type="epub">1473-5571</issn></journal-meta><article-meta><article-id pub-id-type="pmid">21358377</article-id><article-id pub-id-type="pmc">3117250</article-id><article-id pub-id-type="doi">10.1097/QAD.0b013e32834344c9</article-id><article-id pub-id-type="manuscript">NIHMS302656</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Age-gaps in sexual partnerships: seeing beyond ‘sugar daddies’</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Ott</surname><given-names>Miles Q.</given-names></name><xref ref-type="aff" rid="A1">a</xref><xref ref-type="aff" rid="A2">b</xref></contrib><contrib contrib-type="author"><name><surname>Bärnighausen</surname><given-names>Till</given-names></name><xref ref-type="aff" rid="A1">a</xref><xref ref-type="aff" rid="A3">c</xref></contrib><contrib contrib-type="author"><name><surname>Tanser</surname><given-names>Frank</given-names></name><xref ref-type="aff" rid="A1">a</xref></contrib><contrib contrib-type="author"><name><surname>Lurie</surname><given-names>Mark N.</given-names></name><xref ref-type="aff" rid="A2">b</xref></contrib><contrib contrib-type="author"><name><surname>Newell</surname><given-names>Marie-Louise</given-names></name><xref ref-type="aff" rid="A1">a</xref><xref ref-type="aff" rid="A4">d</xref></contrib></contrib-group><aff id="A1"><label>a</label>Africa Centre for Health and Population Studies, University of KwaZulu-Natal, Mtubatuba, South Africa</aff><aff id="A2"><label>b</label>Department of Community Health and Medicine, Brown University, Providence, Rhode Island</aff><aff id="A3"><label>c</label>Department of Global Health and Population, Harvard School of Public Health, Boston, Massachusetts, USA</aff><aff id="A4"><label>d</label>Centre for Paediatric Epidemiology and Biostatistics, UCL Institute of Child Health, London, UK.</aff><author-notes><corresp id="CR1">Correspondence to Till Bärnighausen, MD, ScD, MSc, MSc, Africa Centre for Health and Population Studies, University of KwaZulu-Natal, PO Box 198, Mtubatuba 3935, South Africa. Tel: +27 3 5550 7617; <email>tbarnighausen@africacentre.ac.za</email></corresp></author-notes><pub-date pub-type="nihms-submitted"><day>10</day><month>6</month><year>2011</year></pub-date><pub-date pub-type="ppub"><day>27</day><month>3</month><year>2011</year></pub-date><pub-date pub-type="pmc-release"><day>17</day><month>6</month><year>2011</year></pub-date><volume>25</volume><issue>6</issue><fpage>861</fpage><lpage>863</lpage><permissions><copyright-statement>© 2011 Wolters Kluwer Health | Lippincott Williams & Wilkins</copyright-statement><copyright-year>2011</copyright-year></permissions><abstract><p id="P1">We examine for the first time age-mixing in sexual relationships in a population with very high HIV incidence and prevalence in rural South Africa. The highest levels of age assortativity (the pairing of like with like) were casual partnerships reported by men, the lowest levels were spousal relationships reported by women. Given the age–sex distribution of HIV prevalence in this population, interventions to decrease age-gaps in spousal relationships may be effective in reducing HIV incidence.</p></abstract><funding-group><award-group><funding-source country="United States">National Institute of Mental Health : NIMH</funding-source><award-id>R01 MH083539-03 || MH</award-id></award-group></funding-group></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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