Determinants of HIV testing among young people aged 18 – 24 years in South Africa
Identifieur interne : 002937 ( Main/Exploration ); précédent : 002936; suivant : 002938Determinants of HIV testing among young people aged 18 – 24 years in South Africa
Auteurs : K. Peltzer [Afrique du Sud, Thaïlande] ; G. Matseke [Afrique du Sud]Source :
- African Health Sciences [ 1680-6905 ] ; 2013.
Descripteurs français
- KwdFr :
- Adolescent, Analyse multivariée, Comportement sexuel, Connaissances, attitudes et pratiques en santé, Dépistage systématique (), Enquêtes et questionnaires, Facteurs de l'âge, Facteurs sexuels, Facteurs socioéconomiques, Femelle, Humains, Infections à VIH (), Infections à VIH (diagnostic), Infections à VIH (épidémiologie), Jeune adulte, Mâle, Promotion de la santé, Prévalence, République d'Afrique du Sud (épidémiologie), Surveillance de la population, Études transversales, Évaluation de programme.
- MESH :
- diagnostic : Infections à VIH.
- épidémiologie : Infections à VIH, République d'Afrique du Sud.
- Adolescent, Analyse multivariée, Comportement sexuel, Connaissances, attitudes et pratiques en santé, Dépistage systématique, Enquêtes et questionnaires, Facteurs de l'âge, Facteurs sexuels, Facteurs socioéconomiques, Femelle, Humains, Infections à VIH, Jeune adulte, Mâle, Promotion de la santé, Prévalence, Surveillance de la population, Études transversales, Évaluation de programme.
- Wicri :
- geographic : Afrique du Sud.
English descriptors
- KwdEn :
- Adolescent, Age Factors, Cross-Sectional Studies, Female, HIV Infections (diagnosis), HIV Infections (epidemiology), HIV Infections (prevention & control), Health Knowledge, Attitudes, Practice, Health Promotion, Humans, Male, Mass Screening (methods), Multivariate Analysis, Population Surveillance, Prevalence, Program Evaluation, Sex Factors, Sexual Behavior, Socioeconomic Factors, South Africa (epidemiology), Surveys and Questionnaires, Young Adult.
- MESH :
- geographic , epidemiology : South Africa.
- diagnosis : HIV Infections.
- epidemiology : HIV Infections.
- methods : Mass Screening.
- prevention & control : HIV Infections.
- Adolescent, Age Factors, Cross-Sectional Studies, Female, Health Knowledge, Attitudes, Practice, Health Promotion, Humans, Male, Multivariate Analysis, Population Surveillance, Prevalence, Program Evaluation, Sex Factors, Sexual Behavior, Socioeconomic Factors, Surveys and Questionnaires, Young Adult.
Abstract
Although recent estimates of the HIV/AIDS burden in South Africa show the particular vulnerability of youth to HIV, HIV testing and its determinants are largely understudied in this age group.
To investigate the prevalence and determinants of HIV testing among young people aged 18 to 24 years, as part of an evaluation of the impact of loveLife.
South Africa's national HIV prevention campaign for young people, on HIV and related risk behaviours. A cross-sectional population-based household survey was conducted using a multistage stratified cluster sampling approach. The total sample included 3123 participants, aged 18–24, 54.6% men and 45.4% women, from four provinces (Eastern Cape, Gauteng, KwaZulu-Natal and Mpumalanga).
The results indicated that over half (52.2%) of the youth reported testing for HIV, with more young females (60.1%) testing for HIV compared to their male counterparts (39.9%). In the multivariate analysis, older age, being female, HIV knowledge, having ever talked to the mother or female guardian about HIV and having ever been pregnant or made someone pregnant were found to be associated with testing for HIV.
There is still room for improving the low proportion of young people who test for HIV. Specific attention needs to be paid to younger males, with lack of HIV knowledge, having never talked to the mother or female guardian about HIV and having never been pregnant or made someone pregnant were less likely to be tested. Outreach at individual and community levels and public health messages targeting these youth should be implemented.
Url:
DOI: 10.4314/ahs.v13i4.22
PubMed: 24940326
PubMed Central: 4056506
Affiliations:
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Peltzer</name><affiliation wicri:level="1"><nlm:aff id="A1"> HIV/STI and TB (HAST) Research Programme, Human Sciences Research Council, Pretoria, South Africa</nlm:aff><country xml:lang="fr">Afrique du Sud</country><wicri:regionArea> HIV/STI and TB (HAST) Research Programme, Human Sciences Research Council, Pretoria</wicri:regionArea><wicri:noRegion>Pretoria</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:aff id="A2"> Department of Psychology, University of Limpopo, Turfloop, South Africa</nlm:aff><country xml:lang="fr">Afrique du Sud</country><wicri:regionArea> Department of Psychology, University of Limpopo, Turfloop</wicri:regionArea><wicri:noRegion>Turfloop</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:aff id="A3"> ASEAN Institute for Health and Development, Mahidol University, Bangkok, Thailand</nlm:aff><country xml:lang="fr">Thaïlande</country><wicri:regionArea> ASEAN Institute for Health and Development, Mahidol University, Bangkok</wicri:regionArea><wicri:noRegion>Bangkok</wicri:noRegion></affiliation></author><author><name sortKey="Matseke, G" sort="Matseke, G" uniqKey="Matseke G" first="G" last="Matseke">G. Matseke</name><affiliation wicri:level="1"><nlm:aff id="A1"> HIV/STI and TB (HAST) Research Programme, Human Sciences Research Council, Pretoria, South Africa</nlm:aff><country xml:lang="fr">Afrique du Sud</country><wicri:regionArea> HIV/STI and TB (HAST) Research Programme, Human Sciences Research Council, Pretoria</wicri:regionArea><wicri:noRegion>Pretoria</wicri:noRegion></affiliation></author></analytic><series><title level="j">African Health Sciences</title><idno type="ISSN">1680-6905</idno><idno type="eISSN">1729-0503</idno><imprint><date when="2013">2013</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent</term><term>Age Factors</term><term>Cross-Sectional Studies</term><term>Female</term><term>HIV Infections (diagnosis)</term><term>HIV Infections (epidemiology)</term><term>HIV Infections (prevention & control)</term><term>Health Knowledge, Attitudes, Practice</term><term>Health Promotion</term><term>Humans</term><term>Male</term><term>Mass Screening (methods)</term><term>Multivariate Analysis</term><term>Population Surveillance</term><term>Prevalence</term><term>Program Evaluation</term><term>Sex Factors</term><term>Sexual Behavior</term><term>Socioeconomic Factors</term><term>South Africa (epidemiology)</term><term>Surveys and Questionnaires</term><term>Young Adult</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adolescent</term><term>Analyse multivariée</term><term>Comportement sexuel</term><term>Connaissances, attitudes et pratiques en santé</term><term>Dépistage systématique ()</term><term>Enquêtes et questionnaires</term><term>Facteurs de l'âge</term><term>Facteurs sexuels</term><term>Facteurs socioéconomiques</term><term>Femelle</term><term>Humains</term><term>Infections à VIH ()</term><term>Infections à VIH (diagnostic)</term><term>Infections à VIH (épidémiologie)</term><term>Jeune adulte</term><term>Mâle</term><term>Promotion de la santé</term><term>Prévalence</term><term>République d'Afrique du Sud (épidémiologie)</term><term>Surveillance de la population</term><term>Études transversales</term><term>Évaluation de programme</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>South Africa</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>HIV Infections</term></keywords><keywords scheme="MESH" qualifier="diagnostic" xml:lang="fr"><term>Infections à VIH</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>HIV Infections</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Mass Screening</term></keywords><keywords scheme="MESH" qualifier="prevention & control" xml:lang="en"><term>HIV Infections</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Infections à VIH</term><term>République d'Afrique du Sud</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adolescent</term><term>Age Factors</term><term>Cross-Sectional Studies</term><term>Female</term><term>Health Knowledge, Attitudes, Practice</term><term>Health Promotion</term><term>Humans</term><term>Male</term><term>Multivariate Analysis</term><term>Population Surveillance</term><term>Prevalence</term><term>Program Evaluation</term><term>Sex Factors</term><term>Sexual Behavior</term><term>Socioeconomic Factors</term><term>Surveys and Questionnaires</term><term>Young Adult</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adolescent</term><term>Analyse multivariée</term><term>Comportement sexuel</term><term>Connaissances, attitudes et pratiques en santé</term><term>Dépistage systématique</term><term>Enquêtes et questionnaires</term><term>Facteurs de l'âge</term><term>Facteurs sexuels</term><term>Facteurs socioéconomiques</term><term>Femelle</term><term>Humains</term><term>Infections à VIH</term><term>Jeune adulte</term><term>Mâle</term><term>Promotion de la santé</term><term>Prévalence</term><term>Surveillance de la population</term><term>Études transversales</term><term>Évaluation de programme</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Afrique du Sud</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec><title>Background</title><p>Although recent estimates of the HIV/AIDS burden in South Africa show the particular vulnerability of youth to HIV, HIV testing and its determinants are largely understudied in this age group.</p></sec><sec><title>Objective</title><p>To investigate the prevalence and determinants of HIV testing among young people aged 18 to 24 years, as part of an evaluation of the impact of loveLife.</p></sec><sec sec-type="methods"><title>Methods</title><p>South Africa's national HIV prevention campaign for young people, on HIV and related risk behaviours. A cross-sectional population-based household survey was conducted using a multistage stratified cluster sampling approach. The total sample included 3123 participants, aged 18–24, 54.6% men and 45.4% women, from four provinces (Eastern Cape, Gauteng, KwaZulu-Natal and Mpumalanga).</p></sec><sec sec-type="results"><title>Results</title><p>The results indicated that over half (52.2%) of the youth reported testing for HIV, with more young females (60.1%) testing for HIV compared to their male counterparts (39.9%). In the multivariate analysis, older age, being female, HIV knowledge, having ever talked to the mother or female guardian about HIV and having ever been pregnant or made someone pregnant were found to be associated with testing for HIV.</p></sec><sec sec-type="conclusions"><title>Conclusion</title><p>There is still room for improving the low proportion of young people who test for HIV. Specific attention needs to be paid to younger males, with lack of HIV knowledge, having never talked to the mother or female guardian about HIV and having never been pregnant or made someone pregnant were less likely to be tested. Outreach at individual and community levels and public health messages targeting these youth should be implemented.</p></sec></div></front></TEI><affiliations><list><country><li>Afrique du Sud</li><li>Thaïlande</li></country></list><tree><country name="Afrique du Sud"><noRegion><name sortKey="Peltzer, K" sort="Peltzer, K" uniqKey="Peltzer K" first="K" last="Peltzer">K. Peltzer</name></noRegion><name sortKey="Matseke, G" sort="Matseke, G" uniqKey="Matseke G" first="G" last="Matseke">G. Matseke</name><name sortKey="Peltzer, K" sort="Peltzer, K" uniqKey="Peltzer K" first="K" last="Peltzer">K. Peltzer</name></country><country name="Thaïlande"><noRegion><name sortKey="Peltzer, K" sort="Peltzer, K" uniqKey="Peltzer K" first="K" last="Peltzer">K. Peltzer</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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