Understanding the correlations between wealth, poverty and human immunodeficiency virus infection in African countries.
Identifieur interne : 001874 ( PubMed/Corpus ); précédent : 001873; suivant : 001875Understanding the correlations between wealth, poverty and human immunodeficiency virus infection in African countries.
Auteurs : Justin O. ParkhurstSource :
- Bulletin of the World Health Organization [ 1564-0604 ] ; 2010.
English descriptors
- KwdEn :
- Acquired Immunodeficiency Syndrome (epidemiology), Adolescent, Adult, Africa South of the Sahara (epidemiology), Female, HIV Infections (epidemiology), Health Surveys, Humans, Income (statistics & numerical data), Male, Middle Aged, Prevalence, Retrospective Studies, Sex Distribution, Socioeconomic Factors, Young Adult.
- MESH :
- geographic , epidemiology : Africa South of the Sahara.
- epidemiology : Acquired Immunodeficiency Syndrome, HIV Infections.
- statistics & numerical data : Income.
- Adolescent, Adult, Female, Health Surveys, Humans, Male, Middle Aged, Prevalence, Retrospective Studies, Sex Distribution, Socioeconomic Factors, Young Adult.
Abstract
To investigate the relationships between the prevalence of human immunodeficiency virus (HIV) infection and underlying structural factors of poverty and wealth in several African countries.
DOI: 10.2471/BLT.09.070185
PubMed: 20616971
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Parkhurst</name><affiliation><nlm:affiliation>London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, England. justin.parkhurst@lshtm.ac.uk</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2010">2010</date><idno type="RBID">pubmed:20616971</idno><idno type="pmid">20616971</idno><idno type="doi">10.2471/BLT.09.070185</idno><idno type="wicri:Area/PubMed/Corpus">001874</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">001874</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Understanding the correlations between wealth, poverty and human immunodeficiency virus infection in African countries.</title><author><name sortKey="Parkhurst, Justin O" sort="Parkhurst, Justin O" uniqKey="Parkhurst J" first="Justin O" last="Parkhurst">Justin O. Parkhurst</name><affiliation><nlm:affiliation>London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, England. justin.parkhurst@lshtm.ac.uk</nlm:affiliation></affiliation></author></analytic><series><title level="j">Bulletin of the World Health Organization</title><idno type="eISSN">1564-0604</idno><imprint><date when="2010" type="published">2010</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Acquired Immunodeficiency Syndrome (epidemiology)</term><term>Adolescent</term><term>Adult</term><term>Africa South of the Sahara (epidemiology)</term><term>Female</term><term>HIV Infections (epidemiology)</term><term>Health Surveys</term><term>Humans</term><term>Income (statistics & numerical data)</term><term>Male</term><term>Middle Aged</term><term>Prevalence</term><term>Retrospective Studies</term><term>Sex Distribution</term><term>Socioeconomic Factors</term><term>Young Adult</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Africa South of the Sahara</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Acquired Immunodeficiency Syndrome</term><term>HIV Infections</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Income</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Female</term><term>Health Surveys</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Prevalence</term><term>Retrospective Studies</term><term>Sex Distribution</term><term>Socioeconomic Factors</term><term>Young Adult</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">To investigate the relationships between the prevalence of human immunodeficiency virus (HIV) infection and underlying structural factors of poverty and wealth in several African countries.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">20616971</PMID><DateCreated><Year>2010</Year><Month>07</Month><Day>09</Day></DateCreated><DateCompleted><Year>2010</Year><Month>10</Month><Day>19</Day></DateCompleted><DateRevised><Year>2017</Year><Month>02</Month><Day>20</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1564-0604</ISSN><JournalIssue CitedMedium="Internet"><Volume>88</Volume><Issue>7</Issue><PubDate><Year>2010</Year><Month>Jul</Month><Day>01</Day></PubDate></JournalIssue><Title>Bulletin of the World Health Organization</Title><ISOAbbreviation>Bull. World Health Organ.</ISOAbbreviation></Journal><ArticleTitle>Understanding the correlations between wealth, poverty and human immunodeficiency virus infection in African countries.</ArticleTitle><Pagination><MedlinePgn>519-26</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.2471/BLT.09.070185</ELocationID><Abstract><AbstractText Label="OBJECTIVE" NlmCategory="OBJECTIVE">To investigate the relationships between the prevalence of human immunodeficiency virus (HIV) infection and underlying structural factors of poverty and wealth in several African countries.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">A retrospective ecological comparison and trend analysis was conducted by reviewing data from demographic and health surveys, acquired immunodeficiency syndrome (AIDS) indicator surveys and national sero-behavioural surveys in 12 sub-Saharan African countries with different estimated national incomes. Published survey reports were included in the analysis if they contained HIV testing data and wealth quintile rankings. Trends in the relation between gender-specific HIV prevalence and household wealth quintile were determined with the chi(2) test and compared across the 12 countries, and also within one country (the United Republic of Tanzania) at two points in time.</AbstractText><AbstractText Label="FINDINGS" NlmCategory="RESULTS">The relationship between the prevalence of HIV infection and household wealth quintile did not show consistent trends in all countries. In particular, rates of HIV infection in higher-income countries did not increase with wealth. Tanzanian data further illustrate that the relationship between wealth and HIV infection can change over time in a given setting, with declining prevalence in wealthy groups occurring simultaneously with increasing prevalence in poorer women.</AbstractText><AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">Both wealth and poverty can lead to potentially risky or protective behaviours. To develop better-targeted HIV prevention interventions, the HIV community must recognize the multiple ways in which underlying structural factors can manifest themselves as risk in different settings and at different times. Context-specific risks should be the targets of HIV prevention initiatives tailored to local factors.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Parkhurst</LastName><ForeName>Justin O</ForeName><Initials>JO</Initials><AffiliationInfo><Affiliation>London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, England. justin.parkhurst@lshtm.ac.uk</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2010</Year><Month>02</Month><Day>22</Day></ArticleDate></Article><MedlineJournalInfo><Country>Switzerland</Country><MedlineTA>Bull World Health Organ</MedlineTA><NlmUniqueID>7507052</NlmUniqueID><ISSNLinking>0042-9686</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><CommentsCorrectionsList><CommentsCorrections RefType="Cites"><RefSource>Dev World 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RefType="Cites"><RefSource>PLoS Med. 2007 Oct;4(10):1571-5</RefSource><PMID Version="1">17958469</PMID></CommentsCorrections></CommentsCorrectionsList><MeshHeadingList><MeshHeading><DescriptorName UI="D000163" MajorTopicYN="N">Acquired Immunodeficiency Syndrome</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D000293" MajorTopicYN="N">Adolescent</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017954" MajorTopicYN="N" Type="Geographic">Africa South of the Sahara</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015658" MajorTopicYN="N">HIV Infections</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006306" MajorTopicYN="N">Health Surveys</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007182" MajorTopicYN="N">Income</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015995" MajorTopicYN="N">Prevalence</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012189" MajorTopicYN="N">Retrospective Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017678" MajorTopicYN="N">Sex Distribution</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012959" 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