Women Under-estimate the Age of their Partners during Survey Interviews: Implications for HIV Risk associated with Age Mixing in Northern Malawi
Identifieur interne : 001188 ( Pmc/Corpus ); précédent : 001187; suivant : 001189Women Under-estimate the Age of their Partners during Survey Interviews: Implications for HIV Risk associated with Age Mixing in Northern Malawi
Auteurs : Stéphane Helleringer ; Hans-Peter Kohler ; James MkandawireSource :
- Sexually transmitted diseases [ 0148-5717 ] ; 2011.
Abstract
Age mixing may explain differences in HIV prevalence across populations in sub-Saharan countries, but the validity of survey data on age mixing is unknown.
Age differences between partners are frequently estimated indirectly, by asking respondents to report their partner’s age. Partner age can also be assessed directly, by tracing partners and asking them to report their own age. We use data from 519 relationships, collected in Likoma (Malawi), in which both partners were interviewed and tested for HIV. In these relationships age differences were assessed both indirectly and directly, and estimates could thus be compared. We calculate the specificity and sensitivity of the indirect method in identifying age-homogenous/age-disparate relationships in which the male partner is less/more than 5 or 10 years older than the respondent.
Women were accurate in identifying age-homogenous relationships, but not in identifying age-disparate relationships (specificity ≈ 90%, sensitivity = 24.3%). The sensitivity of the indirect method was even lower in detecting partners older than the respondent by 10 + years (9.6%). Among 43 relationships with an HIV-infected partner included in this study, there were close to 3 times more age-disparate relationships according to direct measures of partner age than according to women’s reports of their partner’s age (17% vs. 46%).
Survey reports of partner age significantly under-estimate the extent of and the HIV risk associated with age mixing in this population. Future studies of the impact of sexual mixing pattern son HIV risk in sub-Saharan countries should take reporting biases into account.
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DOI: 10.1097/OLQ.0b013e318227a486
PubMed: 21992979
PubMed Central: 3241211
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Women Under-estimate the Age of their Partners during Survey Interviews: Implications for HIV Risk associated with Age Mixing in Northern Malawi</title><author><name sortKey="Helleringer, Stephane" sort="Helleringer, Stephane" uniqKey="Helleringer S" first="Stéphane" last="Helleringer">Stéphane Helleringer</name><affiliation><nlm:aff id="A1">Columbia University; Mailman School of Public Health. 60 Haven Avenue, New York, NY 10032 USA</nlm:aff></affiliation></author><author><name sortKey="Kohler, Hans Peter" sort="Kohler, Hans Peter" uniqKey="Kohler H" first="Hans-Peter" last="Kohler">Hans-Peter Kohler</name><affiliation><nlm:aff id="A2">University of Pennsylvania, Population Studies Center. 3718 Locust Walk, Philadelphia, PA 19104 USA</nlm:aff></affiliation></author><author><name sortKey="Mkandawire, James" sort="Mkandawire, James" uniqKey="Mkandawire J" first="James" last="Mkandawire">James Mkandawire</name><affiliation><nlm:aff id="A3">University of Malawi College of Medicine and Invest in Knowledge Initiative, Zomba, Malawi</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">21992979</idno><idno type="pmc">3241211</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3241211</idno><idno type="RBID">PMC:3241211</idno><idno type="doi">10.1097/OLQ.0b013e318227a486</idno><date when="2011">2011</date><idno type="wicri:Area/Pmc/Corpus">001188</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">001188</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Women Under-estimate the Age of their Partners during Survey Interviews: Implications for HIV Risk associated with Age Mixing in Northern Malawi</title><author><name sortKey="Helleringer, Stephane" sort="Helleringer, Stephane" uniqKey="Helleringer S" first="Stéphane" last="Helleringer">Stéphane Helleringer</name><affiliation><nlm:aff id="A1">Columbia University; Mailman School of Public Health. 60 Haven Avenue, New York, NY 10032 USA</nlm:aff></affiliation></author><author><name sortKey="Kohler, Hans Peter" sort="Kohler, Hans Peter" uniqKey="Kohler H" first="Hans-Peter" last="Kohler">Hans-Peter Kohler</name><affiliation><nlm:aff id="A2">University of Pennsylvania, Population Studies Center. 3718 Locust Walk, Philadelphia, PA 19104 USA</nlm:aff></affiliation></author><author><name sortKey="Mkandawire, James" sort="Mkandawire, James" uniqKey="Mkandawire J" first="James" last="Mkandawire">James Mkandawire</name><affiliation><nlm:aff id="A3">University of Malawi College of Medicine and Invest in Knowledge Initiative, Zomba, Malawi</nlm:aff></affiliation></author></analytic><series><title level="j">Sexually transmitted diseases</title><idno type="ISSN">0148-5717</idno><idno type="eISSN">1537-4521</idno><imprint><date when="2011">2011</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec id="S1"><title>Background</title><p id="P1">Age mixing may explain differences in HIV prevalence across populations in sub-Saharan countries, but the validity of survey data on age mixing is unknown.</p></sec><sec sec-type="methods" id="S2"><title>Methods</title><p id="P2">Age differences between partners are frequently estimated indirectly, by asking respondents to report their partner’s age. Partner age can also be assessed directly, by tracing partners and asking them to report their own age. We use data from 519 relationships, collected in Likoma (Malawi), in which both partners were interviewed and tested for HIV. In these relationships age differences were assessed both indirectly and directly, and estimates could thus be compared. We calculate the specificity and sensitivity of the indirect method in identifying age-homogenous/age-disparate relationships in which the male partner is less/more than 5 or 10 years older than the respondent.</p></sec><sec id="S3"><title>Results</title><p id="P3">Women were accurate in identifying age-homogenous relationships, but not in identifying age-disparate relationships (specificity ≈ 90%, sensitivity = 24.3%). The sensitivity of the indirect method was even lower in detecting partners older than the respondent by 10 + years (9.6%). Among 43 relationships with an HIV-infected partner included in this study, there were close to 3 times more age-disparate relationships according to direct measures of partner age than according to women’s reports of their partner’s age (17% vs. 46%).</p></sec><sec id="S4"><title>Conclusions</title><p id="P4">Survey reports of partner age significantly under-estimate the extent of and the HIV risk associated with age mixing in this population. Future studies of the impact of sexual mixing pattern son HIV risk in sub-Saharan countries should take reporting biases into account.</p></sec></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">7705941</journal-id><journal-id journal-id-type="pubmed-jr-id">7382</journal-id><journal-id journal-id-type="nlm-ta">Sex Transm Dis</journal-id><journal-title-group><journal-title>Sexually transmitted diseases</journal-title></journal-title-group><issn pub-type="ppub">0148-5717</issn><issn pub-type="epub">1537-4521</issn></journal-meta><article-meta><article-id pub-id-type="pmid">21992979</article-id><article-id pub-id-type="pmc">3241211</article-id><article-id pub-id-type="doi">10.1097/OLQ.0b013e318227a486</article-id><article-id pub-id-type="manuscript">NIHMS309497</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Women Under-estimate the Age of their Partners during Survey Interviews: Implications for HIV Risk associated with Age Mixing in Northern Malawi</article-title></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name><surname>Helleringer</surname><given-names>Stéphane</given-names></name><degrees>PhD</degrees><xref rid="A1" ref-type="aff">1</xref><email>sh2813@columbia.edu</email></contrib><contrib contrib-type="author"><name><surname>Kohler</surname><given-names>Hans-Peter</given-names></name><degrees>PhD</degrees><xref rid="A2" ref-type="aff">2</xref><email>hpkohler@pop.upenn.edu</email></contrib><contrib contrib-type="author"><name><surname>Mkandawire</surname><given-names>James</given-names></name><degrees>BSN</degrees><xref rid="A3" ref-type="aff">3</xref><email>jnrnurse@yahoo.com</email></contrib></contrib-group><aff id="A1"><label>1</label>Columbia University; Mailman School of Public Health. 60 Haven Avenue, New York, NY 10032 USA</aff><aff id="A2"><label>2</label>University of Pennsylvania, Population Studies Center. 3718 Locust Walk, Philadelphia, PA 19104 USA</aff><aff id="A3"><label>3</label>University of Malawi College of Medicine and Invest in Knowledge Initiative, Zomba, Malawi</aff><pub-date pub-type="nihms-submitted"><day>31</day><month>8</month><year>2011</year></pub-date><pub-date pub-type="ppub"><month>11</month><year>2011</year></pub-date><pub-date pub-type="pmc-release"><day>1</day><month>11</month><year>2012</year></pub-date><volume>38</volume><issue>11</issue><fpage>1030</fpage><lpage>1035</lpage><abstract><sec id="S1"><title>Background</title><p id="P1">Age mixing may explain differences in HIV prevalence across populations in sub-Saharan countries, but the validity of survey data on age mixing is unknown.</p></sec><sec sec-type="methods" id="S2"><title>Methods</title><p id="P2">Age differences between partners are frequently estimated indirectly, by asking respondents to report their partner’s age. Partner age can also be assessed directly, by tracing partners and asking them to report their own age. We use data from 519 relationships, collected in Likoma (Malawi), in which both partners were interviewed and tested for HIV. In these relationships age differences were assessed both indirectly and directly, and estimates could thus be compared. We calculate the specificity and sensitivity of the indirect method in identifying age-homogenous/age-disparate relationships in which the male partner is less/more than 5 or 10 years older than the respondent.</p></sec><sec id="S3"><title>Results</title><p id="P3">Women were accurate in identifying age-homogenous relationships, but not in identifying age-disparate relationships (specificity ≈ 90%, sensitivity = 24.3%). The sensitivity of the indirect method was even lower in detecting partners older than the respondent by 10 + years (9.6%). Among 43 relationships with an HIV-infected partner included in this study, there were close to 3 times more age-disparate relationships according to direct measures of partner age than according to women’s reports of their partner’s age (17% vs. 46%).</p></sec><sec id="S4"><title>Conclusions</title><p id="P4">Survey reports of partner age significantly under-estimate the extent of and the HIV risk associated with age mixing in this population. Future studies of the impact of sexual mixing pattern son HIV risk in sub-Saharan countries should take reporting biases into account.</p></sec></abstract><funding-group><award-group><funding-source country="United States">National Institute of Child Health & Human Development : NICHD</funding-source><award-id>R24 HD044964-09 || HD</award-id></award-group><award-group><funding-source country="United States">National Institute of Child Health & Human Development : NICHD</funding-source><award-id>R01 HD044228-04S1 || HD</award-id></award-group><award-group><funding-source country="United States">National Institute of Child Health & Human Development : NICHD</funding-source><award-id>R01 HD044228-04 || HD</award-id></award-group></funding-group></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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