Condom use, risk perception, and HIV knowledge: a comparison across sexes in Nigeria
Identifieur interne : 002986 ( Main/Exploration ); précédent : 002985; suivant : 002987Condom use, risk perception, and HIV knowledge: a comparison across sexes in Nigeria
Auteurs : Judith Lammers [Pays-Bas] ; Sweder Jg Van Wijnbergen [Pays-Bas] ; Daan Willebrands [Pays-Bas]Source :
- HIV/AIDS (Auckland, N.Z.) [ 1179-1373 ] ; 2013.
Abstract
This paper analyzes how different types of
The empirical work was based on a household survey conducted among 1979 households of a representative group of stallholders in Lagos, Nigeria in 2008. Condom use during last sexual intercourse was analyzed using a multivariate model corrected for clustering effects. The data included questions on socioeconomic characteristics, knowledge of the existence of HIV, HIV prevention, HIV stigma, intended pregnancy, and risk perceptions of engaging in unprotected sex.
A large HIV knowledge gap between males and females was observed. Across the sexes, different types of knowledge are important in condom use. Low-risk perceptions of engaging in unprotected sex and not knowing that condoms prevent HIV infection appear to be the best predictors for risky sexual behavior among men. For females, stigma leads to lower condom use. Obviously, lack of knowledge on where condoms are available (9.4% and 29.1% of male and female respondents, respectively) reduced condom use in both males and females.
The results call for programmatic approaches to differentiate between males and females in the focus of HIV prevention campaigns. Moreover, the high predictive power of high-risk perceptions of engaging in unprotected sex (while correcting for other HIV knowledge indicators) calls for further exploration on how to influence these risk perceptions in HIV prevention programs.
Url:
DOI: 10.2147/HIV.S31687
PubMed: 24187512
PubMed Central: 3810499
Affiliations:
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Wijnbergen</name><affiliation wicri:level="4"><nlm:aff id="af2-hiv-5-283">Faculty of Economics and Business, University of Amsterdam, Amsterdam, The Netherlands</nlm:aff><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Faculty of Economics and Business, University of Amsterdam, Amsterdam</wicri:regionArea><placeName><settlement type="city">Amsterdam</settlement><region nuts="2" type="province">Hollande-Septentrionale</region><settlement type="city">Amsterdam</settlement></placeName><orgName type="university">Université d'Amsterdam</orgName></affiliation></author><author><name sortKey="Willebrands, Daan" sort="Willebrands, Daan" uniqKey="Willebrands D" first="Daan" last="Willebrands">Daan Willebrands</name><affiliation wicri:level="3"><nlm:aff id="af3-hiv-5-283">Atradius Credit Insurance, Amsterdam, The Netherlands</nlm:aff><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Atradius Credit Insurance, Amsterdam</wicri:regionArea><placeName><settlement 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type="university">Université d'Amsterdam</orgName></affiliation></author><author><name sortKey="Van Wijnbergen, Sweder Jg" sort="Van Wijnbergen, Sweder Jg" uniqKey="Van Wijnbergen S" first="Sweder Jg" last="Van Wijnbergen">Sweder Jg Van Wijnbergen</name><affiliation wicri:level="4"><nlm:aff id="af2-hiv-5-283">Faculty of Economics and Business, University of Amsterdam, Amsterdam, The Netherlands</nlm:aff><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Faculty of Economics and Business, University of Amsterdam, Amsterdam</wicri:regionArea><placeName><settlement type="city">Amsterdam</settlement><region nuts="2" type="province">Hollande-Septentrionale</region><settlement type="city">Amsterdam</settlement></placeName><orgName type="university">Université d'Amsterdam</orgName></affiliation></author><author><name sortKey="Willebrands, Daan" sort="Willebrands, Daan" uniqKey="Willebrands D" first="Daan" last="Willebrands">Daan Willebrands</name><affiliation wicri:level="3"><nlm:aff id="af3-hiv-5-283">Atradius Credit Insurance, Amsterdam, The Netherlands</nlm:aff><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Atradius Credit Insurance, Amsterdam</wicri:regionArea><placeName><settlement type="city">Amsterdam</settlement><region nuts="2" type="province">Hollande-Septentrionale</region></placeName></affiliation></author></analytic><series><title level="j">HIV/AIDS (Auckland, N.Z.)</title><idno type="eISSN">1179-1373</idno><imprint><date when="2013">2013</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec><title>Background</title><p>This paper analyzes how different types of <italic>Human immunodeficiency virus</italic> (HIV) knowledge influences condom use across the sexes.</p></sec><sec><title>Methods</title><p>The empirical work was based on a household survey conducted among 1979 households of a representative group of stallholders in Lagos, Nigeria in 2008. Condom use during last sexual intercourse was analyzed using a multivariate model corrected for clustering effects. The data included questions on socioeconomic characteristics, knowledge of the existence of HIV, HIV prevention, HIV stigma, intended pregnancy, and risk perceptions of engaging in unprotected sex.</p></sec><sec><title>Results</title><p>A large HIV knowledge gap between males and females was observed. Across the sexes, different types of knowledge are important in condom use. Low-risk perceptions of engaging in unprotected sex and not knowing that condoms prevent HIV infection appear to be the best predictors for risky sexual behavior among men. For females, stigma leads to lower condom use. Obviously, lack of knowledge on where condoms are available (9.4% and 29.1% of male and female respondents, respectively) reduced condom use in both males and females.</p></sec><sec><title>Conclusion</title><p>The results call for programmatic approaches to differentiate between males and females in the focus of HIV prevention campaigns. Moreover, the high predictive power of high-risk perceptions of engaging in unprotected sex (while correcting for other HIV knowledge indicators) calls for further exploration on how to influence these risk perceptions in HIV prevention programs.</p></sec></div></front><back><div1 type="bibliography"><listBibl><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Royce, Ra" uniqKey="Royce R">RA Royce</name></author><author><name sortKey="Sena, A" uniqKey="Sena A">A Sena</name></author><author><name sortKey="Cates, W" uniqKey="Cates W">W Cates</name></author><author><name sortKey="Cohen, Ms" uniqKey="Cohen M">MS Cohen</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Seeley, Ja" uniqKey="Seeley J">JA Seeley</name></author><author><name sortKey="Malamba, Ss" uniqKey="Malamba S">SS Malamba</name></author><author><name sortKey="Nunn, Aj" uniqKey="Nunn A">AJ Nunn</name></author><author><name 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sortKey="Nnko, S" uniqKey="Nnko S">S Nnko</name></author><author><name sortKey="Boerma, Jt" uniqKey="Boerma J">JT Boerma</name></author><author><name sortKey="Urassa, M" uniqKey="Urassa M">M Urassa</name></author><author><name sortKey="Mwaluko, G" uniqKey="Mwaluko G">G Mwaluko</name></author><author><name sortKey="Zaba, B" uniqKey="Zaba B">B Zaba</name></author></analytic></biblStruct></listBibl></div1></back></TEI><affiliations><list><country><li>Pays-Bas</li></country><region><li>Hollande-Septentrionale</li></region><settlement><li>Amsterdam</li></settlement><orgName><li>Université d'Amsterdam</li></orgName></list><tree><country name="Pays-Bas"><region name="Hollande-Septentrionale"><name sortKey="Lammers, Judith" sort="Lammers, Judith" uniqKey="Lammers J" first="Judith" last="Lammers">Judith Lammers</name></region><name sortKey="Van Wijnbergen, Sweder Jg" sort="Van Wijnbergen, Sweder Jg" uniqKey="Van Wijnbergen S" first="Sweder Jg" last="Van Wijnbergen">Sweder Jg Van Wijnbergen</name><name sortKey="Willebrands, Daan" sort="Willebrands, Daan" uniqKey="Willebrands D" first="Daan" last="Willebrands">Daan Willebrands</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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