SidaSubSaharaV1, PubMed, Curation, bibRecord, 001895

Socio-economic inequality and HIV in South Africa.

Identifieur interne : 001895 ( PubMed/Curation ); précédent : 001894; suivant : 001896

Socio-economic inequality and HIV in South Africa.

Auteurs : Njeri Wabiri [Afrique du Sud] ; Negussie Taffa

Source :

BMC public health [ 1471-2458 ] ; 2013.

RBID : pubmed:24180366

Descripteurs français

KwdFr :
- Accès à l'information, Adolescent, Adulte, Adulte d'âge moyen, Analyse de régression, Collecte de données, Comportement sexuel (), Disparités de l'état de santé, Facteurs de risque, Facteurs socioéconomiques, Femelle, Humains, Infections à VIH (économie), Infections à VIH (épidémiologie), Jeune adulte, Mâle, Pauvreté (), Prévalence, République d'Afrique du Sud (épidémiologie), Stéréotypage, Sérodiagnostic du SIDA (), Sérodiagnostic du SIDA (économie).
MESH :
- économie : Infections à VIH, Sérodiagnostic du SIDA.
- épidémiologie : Infections à VIH, République d'Afrique du Sud.
- Accès à l'information, Adolescent, Adulte, Adulte d'âge moyen, Analyse de régression, Collecte de données, Comportement sexuel, Disparités de l'état de santé, Facteurs de risque, Facteurs socioéconomiques, Femelle, Humains, Jeune adulte, Mâle, Pauvreté, Prévalence, Stéréotypage, Sérodiagnostic du SIDA.
Wicri :
- geographic : Afrique du Sud.

English descriptors

KwdEn :
- AIDS Serodiagnosis (economics), AIDS Serodiagnosis (statistics & numerical data), Access to Information, Adolescent, Adult, Data Collection, Female, HIV Infections (economics), HIV Infections (epidemiology), Health Status Disparities, Humans, Male, Middle Aged, Poverty (statistics & numerical data), Prevalence, Regression Analysis, Risk Factors, Sexual Behavior (statistics & numerical data), Socioeconomic Factors, South Africa (epidemiology), Stereotyping, Young Adult.
MESH :
- geographic , epidemiology : South Africa.
- economics : AIDS Serodiagnosis, HIV Infections.
- epidemiology : HIV Infections.
- statistics & numerical data : AIDS Serodiagnosis, Poverty, Sexual Behavior.
- Access to Information, Adolescent, Adult, Data Collection, Female, Health Status Disparities, Humans, Male, Middle Aged, Prevalence, Regression Analysis, Risk Factors, Socioeconomic Factors, Stereotyping, Young Adult.

Abstract

The linkage between the socio-economic inequality and HIV outcomes was analysed using data from a population-based household survey that employed multistage-stratified sampling. The goal is to help refocus attention on how HIV is linked to inequalities.

DOI: 10.1186/1471-2458-13-1037
PubMed: 24180366

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Le document en format XML

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<affiliation wicri:level="1"><nlm:affiliation>Epidemiology and Strategic Information Unit, Human Sciences Research Council, Private Bag X41, Pretoria 0001, Gauteng, South Africa. nwabiri@hsrc.ac.za.</nlm:affiliation>
<country xml:lang="fr">Afrique du Sud</country>
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<term>République d'Afrique du Sud (épidémiologie)</term>
<term>Stéréotypage</term>
<term>Sérodiagnostic du SIDA ()</term>
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<keywords scheme="MESH" qualifier="economics" xml:lang="en"><term>AIDS Serodiagnosis</term>
<term>HIV Infections</term>
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<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>HIV Infections</term>
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<term>Poverty</term>
<term>Sexual Behavior</term>
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<term>Stereotyping</term>
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<term>Adolescent</term>
<term>Adulte</term>
<term>Adulte d'âge moyen</term>
<term>Analyse de régression</term>
<term>Collecte de données</term>
<term>Comportement sexuel</term>
<term>Disparités de l'état de santé</term>
<term>Facteurs de risque</term>
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<term>Mâle</term>
<term>Pauvreté</term>
<term>Prévalence</term>
<term>Stéréotypage</term>
<term>Sérodiagnostic du SIDA</term>
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<front><div type="abstract" xml:lang="en">The linkage between the socio-economic inequality and HIV outcomes was analysed using data from a population-based household survey that employed multistage-stratified sampling. The goal is to help refocus attention on how HIV is linked to inequalities.</div>
</front>
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<pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">24180366</PMID>
<DateCreated><Year>2014</Year>
<Month>01</Month>
<Day>17</Day>
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<DateCompleted><Year>2014</Year>
<Month>08</Month>
<Day>25</Day>
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<DateRevised><Year>2017</Year>
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<PubDate><Year>2013</Year>
<Month>Nov</Month>
<Day>04</Day>
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<Title>BMC public health</Title>
<ISOAbbreviation>BMC Public Health</ISOAbbreviation>
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<ArticleTitle>Socio-economic inequality and HIV in South Africa.</ArticleTitle>
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<ELocationID EIdType="doi" ValidYN="Y">10.1186/1471-2458-13-1037</ELocationID>
<Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">The linkage between the socio-economic inequality and HIV outcomes was analysed using data from a population-based household survey that employed multistage-stratified sampling. The goal is to help refocus attention on how HIV is linked to inequalities.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">A socio-economic index (SEI) score, derived using Multiple Correspondence Analysis of measures of ownership of durable assets, was used to generate three SEI groups: Low (poorest), Middle, and Upper (no so poor). Distribution of HIV outcomes (i.e. HIV prevalence, access to HIV/AIDS information, level of stigma towards HIV/AIDS, perceived HIV risk and sexual behaviour) across the SEI groups, and other background characteristics was assessed using weighted data. Univariate and multivariate logistic regression was used to assess the covariates of the HIV outcomes across the socio-economic groups. The study sample include 14,384 adults 15 years and older.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">More women (57.5%) than men (42.3%) were found in the poor SEI [P<0.001]. HIV prevalence was highest among the poor (20.8%) followed by those in the middle (15.9%) and those in the upper SEI (4.6%) [P<0.001]. It was also highest among women compared to men (19.7% versus 11.4% respectively) and among black Africans (20.2%) compared to other races [P<0.001]. Individuals in the upper SEI reported higher frequency of HIV testing (59.3%) compared to the low SEI (47.7%) [P< 0.001]. Only 20.5% of those in poor SEI had "good access to HIV/AIDS information" compared to 79.5% in the upper SEI (P<0.001). A higher percentage of the poor had a stigmatizing attitude towards HIV/AIDS (45.6%) compared to those in the upper SEI (34.8%) [P< 0.001]. There was a high personal HIV risk perception among the poor (40.0%) and it declined significantly to 10.9% in the upper SEI.</AbstractText>
<AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">Our findings underline the disproportionate burden of HIV disease and HIV fear among the poor and vulnerable in South Africa. The poor are further disadvantaged by lack of access to HIV information and HIV/AIDS services such as testing for HIV infection. There is a compelling urgency for the national HIV/AIDS response to maximizing program focus for the poor particularly women.</AbstractText>
</Abstract>
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<CommentsCorrectionsList><CommentsCorrections RefType="Cites"><RefSource>Health Policy. 2011 Mar;99(3):261-6</RefSource>
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<CommentsCorrections RefType="Cites"><RefSource>AIDS. 2007 Oct;21 Suppl 5:S55-63</RefSource>
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<CommentsCorrections RefType="Cites"><RefSource>PLoS Med. 2007 Oct;4(10):1571-5</RefSource>
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	Le SIDA en Afrique subsaharienne (serveur d'exploration)
	Attention, ce site est en cours de développement ! Attention, site généré par des moyens informatiques à partir de corpus bruts. Les informations ne sont donc pas validées.

Le SIDA en Afrique subsaharienne (serveur d'exploration)

Socio-economic inequality and HIV in South Africa.

Socio-economic inequality and HIV in South Africa.

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Abstract

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