Gender and poverty in South Africa in the era of HIV/AIDS: a quantitative study.
Identifieur interne : 004935 ( Main/Merge ); précédent : 004934; suivant : 004936Gender and poverty in South Africa in the era of HIV/AIDS: a quantitative study.
Auteurs : Olive Shisana [Afrique du Sud] ; Kathleen Rice ; Nompumelelo Zungu ; Khangelani ZumaSource :
- Journal of women's health (2002) [ 1931-843X ] ; 2010.
Descripteurs français
- KwdFr :
- Adolescent, Caractéristiques de l'habitat (), Disparités de l'état de santé, Femelle, Financement individuel, Humains, Indicateurs d'état de santé, Infections à VIH (psychologie), Infections à VIH (épidémiologie), Jeune adulte, Mâle, Odds ratio, Pauvreté (), Pauvreté (psychologie), Populations vulnérables (), Populations vulnérables (psychologie), Répartition par sexe, Répartition par âge, République d'Afrique du Sud (épidémiologie), Études d'évaluation comme sujet.
- MESH :
- psychologie : Infections à VIH, Pauvreté, Populations vulnérables.
- épidémiologie : Infections à VIH, République d'Afrique du Sud.
- Adolescent, Caractéristiques de l'habitat, Disparités de l'état de santé, Femelle, Financement individuel, Humains, Indicateurs d'état de santé, Jeune adulte, Mâle, Odds ratio, Pauvreté, Populations vulnérables, Répartition par sexe, Répartition par âge, Études d'évaluation comme sujet.
- Wicri :
- geographic : Afrique du Sud.
English descriptors
- KwdEn :
- Adolescent, Age Distribution, Evaluation Studies as Topic, Female, Financing, Personal, HIV Infections (epidemiology), HIV Infections (psychology), Health Status Disparities, Health Status Indicators, Humans, Male, Odds Ratio, Poverty (psychology), Poverty (statistics & numerical data), Residence Characteristics (statistics & numerical data), Sex Distribution, South Africa (epidemiology), Vulnerable Populations (psychology), Vulnerable Populations (statistics & numerical data), Young Adult.
- MESH :
- geographic , epidemiology : South Africa.
- epidemiology : HIV Infections.
- psychology : HIV Infections, Poverty, Vulnerable Populations.
- statistics & numerical data : Poverty, Residence Characteristics, Vulnerable Populations.
- Adolescent, Age Distribution, Evaluation Studies as Topic, Female, Financing, Personal, Health Status Disparities, Health Status Indicators, Humans, Male, Odds Ratio, Sex Distribution, Young Adult.
Abstract
Recent research identifies gender inequality as a driver of the HIV/AIDS epidemic. The feminization of poverty is also increasingly apparent, as is the disproportionate vulnerability of members of female-headed households. We sought to examine the relationships among sex, gender, age, HIV status, and socioeconomic characteristics, focusing on heads and nonheads of households.
DOI: 10.1089/jwh.2008.1200
PubMed: 20088657
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qualifier="epidemiology" xml:lang="en"><term>HIV Infections</term></keywords><keywords scheme="MESH" qualifier="psychologie" xml:lang="fr"><term>Infections à VIH</term><term>Pauvreté</term><term>Populations vulnérables</term></keywords><keywords scheme="MESH" qualifier="psychology" xml:lang="en"><term>HIV Infections</term><term>Poverty</term><term>Vulnerable Populations</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Poverty</term><term>Residence Characteristics</term><term>Vulnerable Populations</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 Distribution</term><term>Evaluation Studies as Topic</term><term>Female</term><term>Financing, Personal</term><term>Health Status Disparities</term><term>Health Status Indicators</term><term>Humans</term><term>Male</term><term>Odds Ratio</term><term>Sex Distribution</term><term>Young Adult</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adolescent</term><term>Caractéristiques de l'habitat</term><term>Disparités de l'état de santé</term><term>Femelle</term><term>Financement individuel</term><term>Humains</term><term>Indicateurs d'état de santé</term><term>Jeune adulte</term><term>Mâle</term><term>Odds ratio</term><term>Pauvreté</term><term>Populations vulnérables</term><term>Répartition par sexe</term><term>Répartition par âge</term><term>Études d'évaluation comme sujet</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">Recent research identifies gender inequality as a driver of the HIV/AIDS epidemic. The feminization of poverty is also increasingly apparent, as is the disproportionate vulnerability of members of female-headed households. We sought to examine the relationships among sex, gender, age, HIV status, and socioeconomic characteristics, focusing on heads and nonheads of households.</div></front></TEI></PubMed><PubMed><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Gender and poverty in South Africa in the era of HIV/AIDS: a quantitative study.</title><author><name sortKey="Shisana, Olive" sort="Shisana, Olive" uniqKey="Shisana O" first="Olive" last="Shisana">Olive Shisana</name><affiliation wicri:level="1"><nlm:affiliation>Human Sciences Research Council, Cape Town, South Africa.</nlm:affiliation><country xml:lang="fr">Afrique du Sud</country><wicri:regionArea>Human Sciences Research Council, Cape Town</wicri:regionArea><wicri:noRegion>Cape Town</wicri:noRegion></affiliation></author><author><name sortKey="Rice, Kathleen" sort="Rice, Kathleen" uniqKey="Rice K" first="Kathleen" last="Rice">Kathleen Rice</name></author><author><name sortKey="Zungu, Nompumelelo" sort="Zungu, Nompumelelo" uniqKey="Zungu N" first="Nompumelelo" last="Zungu">Nompumelelo Zungu</name></author><author><name sortKey="Zuma, Khangelani" sort="Zuma, Khangelani" uniqKey="Zuma K" first="Khangelani" last="Zuma">Khangelani Zuma</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2010">2010</date><idno type="RBID">pubmed:20088657</idno><idno type="pmid">20088657</idno><idno type="doi">10.1089/jwh.2008.1200</idno><idno type="wicri:Area/PubMed/Corpus">001903</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">001903</idno><idno type="wicri:Area/PubMed/Curation">001903</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">001903</idno><idno type="wicri:Area/PubMed/Checkpoint">001903</idno><idno type="wicri:explorRef" wicri:stream="Checkpoint" wicri:step="PubMed">001903</idno><idno type="wicri:Area/Ncbi/Merge">000A15</idno><idno type="wicri:Area/Ncbi/Curation">000A15</idno><idno type="wicri:Area/Ncbi/Checkpoint">000A15</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Gender and poverty in South Africa in the era of HIV/AIDS: a quantitative study.</title><author><name sortKey="Shisana, Olive" sort="Shisana, Olive" uniqKey="Shisana O" first="Olive" last="Shisana">Olive Shisana</name><affiliation wicri:level="1"><nlm:affiliation>Human Sciences Research Council, Cape Town, South Africa.</nlm:affiliation><country xml:lang="fr">Afrique du Sud</country><wicri:regionArea>Human Sciences Research Council, Cape Town</wicri:regionArea><wicri:noRegion>Cape Town</wicri:noRegion></affiliation></author><author><name sortKey="Rice, Kathleen" sort="Rice, Kathleen" uniqKey="Rice K" first="Kathleen" last="Rice">Kathleen Rice</name></author><author><name sortKey="Zungu, Nompumelelo" sort="Zungu, Nompumelelo" uniqKey="Zungu N" first="Nompumelelo" last="Zungu">Nompumelelo Zungu</name></author><author><name sortKey="Zuma, Khangelani" sort="Zuma, Khangelani" uniqKey="Zuma K" first="Khangelani" last="Zuma">Khangelani Zuma</name></author></analytic><series><title level="j">Journal of women's health (2002)</title><idno type="eISSN">1931-843X</idno><imprint><date when="2010" type="published">2010</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent</term><term>Age Distribution</term><term>Evaluation Studies as Topic</term><term>Female</term><term>Financing, Personal</term><term>HIV Infections (epidemiology)</term><term>HIV Infections (psychology)</term><term>Health Status Disparities</term><term>Health Status Indicators</term><term>Humans</term><term>Male</term><term>Odds Ratio</term><term>Poverty (psychology)</term><term>Poverty (statistics & numerical data)</term><term>Residence Characteristics (statistics & numerical data)</term><term>Sex Distribution</term><term>South Africa (epidemiology)</term><term>Vulnerable Populations (psychology)</term><term>Vulnerable Populations (statistics & numerical data)</term><term>Young Adult</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adolescent</term><term>Caractéristiques de l'habitat ()</term><term>Disparités de l'état de santé</term><term>Femelle</term><term>Financement individuel</term><term>Humains</term><term>Indicateurs d'état de santé</term><term>Infections à VIH (psychologie)</term><term>Infections à VIH (épidémiologie)</term><term>Jeune adulte</term><term>Mâle</term><term>Odds ratio</term><term>Pauvreté ()</term><term>Pauvreté (psychologie)</term><term>Populations vulnérables ()</term><term>Populations vulnérables (psychologie)</term><term>Répartition par sexe</term><term>Répartition par âge</term><term>République d'Afrique du Sud (épidémiologie)</term><term>Études d'évaluation comme sujet</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>South Africa</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>HIV Infections</term></keywords><keywords scheme="MESH" qualifier="psychologie" xml:lang="fr"><term>Infections à VIH</term><term>Pauvreté</term><term>Populations vulnérables</term></keywords><keywords scheme="MESH" qualifier="psychology" xml:lang="en"><term>HIV Infections</term><term>Poverty</term><term>Vulnerable Populations</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Poverty</term><term>Residence Characteristics</term><term>Vulnerable Populations</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 Distribution</term><term>Evaluation Studies as Topic</term><term>Female</term><term>Financing, Personal</term><term>Health Status Disparities</term><term>Health Status Indicators</term><term>Humans</term><term>Male</term><term>Odds Ratio</term><term>Sex Distribution</term><term>Young Adult</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adolescent</term><term>Caractéristiques de l'habitat</term><term>Disparités de l'état de santé</term><term>Femelle</term><term>Financement individuel</term><term>Humains</term><term>Indicateurs d'état de santé</term><term>Jeune adulte</term><term>Mâle</term><term>Odds ratio</term><term>Pauvreté</term><term>Populations vulnérables</term><term>Répartition par sexe</term><term>Répartition par âge</term><term>Études d'évaluation comme sujet</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">Recent research identifies gender inequality as a driver of the HIV/AIDS epidemic. The feminization of poverty is also increasingly apparent, as is the disproportionate vulnerability of members of female-headed households. We sought to examine the relationships among sex, gender, age, HIV status, and socioeconomic characteristics, focusing on heads and nonheads of households.</div></front></TEI></PubMed></double></record>Pour manipuler ce document sous Unix (Dilib)
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