Household context and child mortality in rural South Africa: the effects of birth spacing, shared mortality, household composition and socio-economic status.
Identifieur interne : 000849 ( PubMed/Curation ); précédent : 000848; suivant : 000850Household context and child mortality in rural South Africa: the effects of birth spacing, shared mortality, household composition and socio-economic status.
Auteurs : Brian Houle [États-Unis] ; Alan Stein ; Kathleen Kahn ; Sangeetha Madhavan ; Mark Collinson ; Stephen M. Tollman ; Samuel J. ClarkSource :
- International journal of epidemiology [ 1464-3685 ] ; 2013.
Descripteurs français
- KwdFr :
- Analyse multiniveaux, Analyse multivariée, Caractéristiques familiales, Classe sociale, Décès maternel (), Enfant d'âge préscolaire, Facteurs de risque, Facteurs socioéconomiques, Femelle, Humains, Infections à VIH (mortalité), Infections à VIH (épidémiologie), Intervalles génésiques (), Modèles logistiques, Mortalité de l'enfant, Mortalité infantile, Mâle, Nourrisson, Odds ratio, Population rurale (), République d'Afrique du Sud (épidémiologie), Tuberculose (mortalité), Tuberculose (épidémiologie).
- MESH :
- mortalité : Infections à VIH, Tuberculose.
- épidémiologie : Infections à VIH, République d'Afrique du Sud, Tuberculose.
- Analyse multiniveaux, Analyse multivariée, Caractéristiques familiales, Classe sociale, Décès maternel, Enfant d'âge préscolaire, Facteurs de risque, Facteurs socioéconomiques, Femelle, Humains, Intervalles génésiques, Modèles logistiques, Mortalité de l'enfant, Mortalité infantile, Mâle, Nourrisson, Odds ratio, Population rurale.
- Wicri :
- geographic : Afrique du Sud.
English descriptors
- KwdEn :
- Birth Intervals (statistics & numerical data), Child Mortality, Child, Preschool, Family Characteristics, Female, HIV Infections (epidemiology), HIV Infections (mortality), Humans, Infant, Infant Mortality, Logistic Models, Male, Maternal Death (statistics & numerical data), Multilevel Analysis, Multivariate Analysis, Odds Ratio, Risk Factors, Rural Population (statistics & numerical data), Social Class, Socioeconomic Factors, South Africa (epidemiology), Tuberculosis (epidemiology), Tuberculosis (mortality).
- MESH :
- geographic , epidemiology : South Africa.
- epidemiology : HIV Infections, Tuberculosis.
- mortality : HIV Infections, Tuberculosis.
- statistics & numerical data : Birth Intervals, Maternal Death, Rural Population.
- Child Mortality, Child, Preschool, Family Characteristics, Female, Humans, Infant, Infant Mortality, Logistic Models, Male, Multilevel Analysis, Multivariate Analysis, Odds Ratio, Risk Factors, Social Class, Socioeconomic Factors.
Abstract
Household characteristics are important influences on the risk of child death. However, little is known about this influence in HIV-endemic areas. We describe the effects of household characteristics on children's risk of dying in rural South Africa.
DOI: 10.1093/ije/dyt149
PubMed: 23912808
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Tollman</name></author><author><name sortKey="Clark, Samuel J" sort="Clark, Samuel J" uniqKey="Clark S" first="Samuel J" last="Clark">Samuel J. Clark</name></author></analytic><series><title level="j">International journal of epidemiology</title><idno type="eISSN">1464-3685</idno><imprint><date when="2013" type="published">2013</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Birth Intervals (statistics & numerical data)</term><term>Child Mortality</term><term>Child, Preschool</term><term>Family Characteristics</term><term>Female</term><term>HIV Infections (epidemiology)</term><term>HIV Infections (mortality)</term><term>Humans</term><term>Infant</term><term>Infant Mortality</term><term>Logistic Models</term><term>Male</term><term>Maternal Death (statistics & numerical data)</term><term>Multilevel Analysis</term><term>Multivariate Analysis</term><term>Odds Ratio</term><term>Risk Factors</term><term>Rural Population (statistics & numerical data)</term><term>Social Class</term><term>Socioeconomic Factors</term><term>South Africa (epidemiology)</term><term>Tuberculosis (epidemiology)</term><term>Tuberculosis (mortality)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Analyse multiniveaux</term><term>Analyse multivariée</term><term>Caractéristiques familiales</term><term>Classe sociale</term><term>Décès maternel ()</term><term>Enfant d'âge préscolaire</term><term>Facteurs de risque</term><term>Facteurs socioéconomiques</term><term>Femelle</term><term>Humains</term><term>Infections à VIH (mortalité)</term><term>Infections à VIH (épidémiologie)</term><term>Intervalles génésiques ()</term><term>Modèles logistiques</term><term>Mortalité de l'enfant</term><term>Mortalité infantile</term><term>Mâle</term><term>Nourrisson</term><term>Odds ratio</term><term>Population rurale ()</term><term>République d'Afrique du Sud (épidémiologie)</term><term>Tuberculose (mortalité)</term><term>Tuberculose (épidémiologie)</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><term>Tuberculosis</term></keywords><keywords scheme="MESH" qualifier="mortality" xml:lang="en"><term>HIV Infections</term><term>Tuberculosis</term></keywords><keywords scheme="MESH" qualifier="mortalité" xml:lang="fr"><term>Infections à VIH</term><term>Tuberculose</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Birth Intervals</term><term>Maternal Death</term><term>Rural Population</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Infections à VIH</term><term>République d'Afrique du Sud</term><term>Tuberculose</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Child Mortality</term><term>Child, Preschool</term><term>Family Characteristics</term><term>Female</term><term>Humans</term><term>Infant</term><term>Infant Mortality</term><term>Logistic Models</term><term>Male</term><term>Multilevel Analysis</term><term>Multivariate Analysis</term><term>Odds Ratio</term><term>Risk Factors</term><term>Social Class</term><term>Socioeconomic Factors</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Analyse multiniveaux</term><term>Analyse multivariée</term><term>Caractéristiques familiales</term><term>Classe sociale</term><term>Décès maternel</term><term>Enfant d'âge préscolaire</term><term>Facteurs de risque</term><term>Facteurs socioéconomiques</term><term>Femelle</term><term>Humains</term><term>Intervalles génésiques</term><term>Modèles logistiques</term><term>Mortalité de l'enfant</term><term>Mortalité infantile</term><term>Mâle</term><term>Nourrisson</term><term>Odds ratio</term><term>Population rurale</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">Household characteristics are important influences on the risk of child death. However, little is known about this influence in HIV-endemic areas. We describe the effects of household characteristics on children's risk of dying in rural South Africa.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">23912808</PMID><DateCreated><Year>2013</Year><Month>10</Month><Day>25</Day></DateCreated><DateCompleted><Year>2016</Year><Month>05</Month><Day>12</Day></DateCompleted><DateRevised><Year>2017</Year><Month>02</Month><Day>20</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1464-3685</ISSN><JournalIssue CitedMedium="Internet"><Volume>42</Volume><Issue>5</Issue><PubDate><Year>2013</Year><Month>Oct</Month></PubDate></JournalIssue><Title>International journal of epidemiology</Title><ISOAbbreviation>Int J Epidemiol</ISOAbbreviation></Journal><ArticleTitle>Household context and child mortality in rural South Africa: the effects of birth spacing, shared mortality, household composition and socio-economic status.</ArticleTitle><Pagination><MedlinePgn>1444-54</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1093/ije/dyt149</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Household characteristics are important influences on the risk of child death. However, little is known about this influence in HIV-endemic areas. We describe the effects of household characteristics on children's risk of dying in rural South Africa.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">We use data describing the mortality of children younger than 5 years living in the Agincourt health and socio-demographic surveillance system study population in rural northeast South Africa during the period 1994-2008. Using discrete time event history analysis we estimate children's probability of dying by child characteristics and household composition (other children and adults other than parents) (N=924,818 child-months), and household socio-economic status (N=501,732 child-months).</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">Children under 24 months of age whose subsequent sibling was born within 11 months experience increased odds of dying (OR 2.5; 95% CI 1.1-5.7). Children also experience increased odds of dying in the period 6 months (OR 2.1; 95% CI 1.2-3.6), 3-5 months (OR 3.0; 95% CI 1.5-5.9), and 2 months (OR 11.8; 95% CI 7.6-18.3) before another household child dies. The odds of dying remain high at the time of another child's death (OR 11.7; 95% CI 6.3-21.7) and for the 2 months following (OR 4.0; 95% CI 1.9-8.6). Having a related but non-parent adult aged 20-59 years in the household reduces the odds (OR 0.6; 95% CI 0.5-0.8). There is an inverse relationship between a child's odds of dying and household socio-economic status.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">This detailed household profile from a poor rural setting where HIV infection is endemic indicates that children are at high risk of dying when another child is very ill or has recently died. Short birth intervals and additional children in the household are further risk factors. Presence of a related adult is protective, as is higher socio-economic status. Such evidence can inform primary health care practice and facilitate targeting of community health worker efforts, especially when covering defined catchment areas.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Houle</LastName><ForeName>Brian</ForeName><Initials>B</Initials><AffiliationInfo><Affiliation>Institute of Behavioral Science (IBS), University of Colorado at Boulder, Boulder, CO, USA, MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa, Section of Child and Adolescent Psychiatry, Department of Psychiatry, University of Oxford, Oxford, UK, Centre for Global Health Research, Umeå University, Umeå, Sweden, INDEPTH Network, Accra, Ghana, Department of African-American Studies, University of Maryland-College Park, College Park, MD, USA and Department of Sociology, University of Washington, Seattle, WA, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Stein</LastName><ForeName>Alan</ForeName><Initials>A</Initials></Author><Author ValidYN="Y"><LastName>Kahn</LastName><ForeName>Kathleen</ForeName><Initials>K</Initials></Author><Author ValidYN="Y"><LastName>Madhavan</LastName><ForeName>Sangeetha</ForeName><Initials>S</Initials></Author><Author ValidYN="Y"><LastName>Collinson</LastName><ForeName>Mark</ForeName><Initials>M</Initials></Author><Author ValidYN="Y"><LastName>Tollman</LastName><ForeName>Stephen M</ForeName><Initials>SM</Initials></Author><Author ValidYN="Y"><LastName>Clark</LastName><ForeName>Samuel J</ForeName><Initials>SJ</Initials></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>R01 HD054511</GrantID><Acronym>HD</Acronym><Agency>NICHD NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>T32 HD007543</GrantID><Acronym>HD</Acronym><Agency>NICHD NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>058893/Z/99/A</GrantID><Agency>Wellcome Trust</Agency><Country>United Kingdom</Country></Grant><Grant><GrantID>K01 HD057246</GrantID><Acronym>HD</Acronym><Agency>NICHD NIH HHS</Agency><Country>United States</Country></Grant><Grant><Agency>Medical Research Council</Agency><Country>United Kingdom</Country></Grant><Grant><GrantID>R24 HD041041</GrantID><Acronym>HD</Acronym><Agency>NICHD NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>085477/Z/08/Z</GrantID><Agency>Wellcome Trust</Agency><Country>United Kingdom</Country></Grant><Grant><GrantID>R24 AG032112</GrantID><Acronym>AG</Acronym><Agency>NIA NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>R24 HD042828</GrantID><Acronym>HD</Acronym><Agency>NICHD NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>069683/Z/02/Z</GrantID><Agency>Wellcome Trust</Agency><Country>United Kingdom</Country></Grant><Grant><GrantID>R01 HD070936</GrantID><Acronym>HD</Acronym><Agency>NICHD NIH HHS</Agency><Country>United States</Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D052061">Research Support, N.I.H., Extramural</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2013</Year><Month>08</Month><Day>02</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Int J Epidemiol</MedlineTA><NlmUniqueID>7802871</NlmUniqueID><ISSNLinking>0300-5771</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><CommentsCorrectionsList><CommentsCorrections RefType="Cites"><RefSource>AIDS Care. 2009;21 Suppl 1:60-75</RefSource><PMID Version="1">22380980</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>J Paediatr Child Health. 2006 Oct;42(10):630-5</RefSource><PMID 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May;16(3):275-80</RefSource><PMID Version="1">15824540</PMID></CommentsCorrections></CommentsCorrectionsList><MeshHeadingList><MeshHeading><DescriptorName UI="D001721" MajorTopicYN="N">Birth Intervals</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D046688" MajorTopicYN="Y">Child Mortality</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002675" MajorTopicYN="N">Child, Preschool</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005191" MajorTopicYN="Y">Family Characteristics</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015658" MajorTopicYN="N">HIV Infections</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName><QualifierName UI="Q000401" 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