Household context and child mortality in rural South Africa: the effects of birth spacing, shared mortality, household composition and socio-economic status. 2013

Brian Houle, and Alan Stein, and Kathleen Kahn, and Sangeetha Madhavan, and Mark Collinson, and Stephen M Tollman, and Samuel J Clark
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.

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. 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). 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. 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.

UI MeSH Term Description Entries
D007223 Infant A child between 1 and 23 months of age. Infants
D007226 Infant Mortality Postnatal deaths from BIRTH to 365 days after birth in a given population. Postneonatal mortality represents deaths between 28 days and 365 days after birth (as defined by National Center for Health Statistics). Neonatal mortality represents deaths from birth to 27 days after birth. Neonatal Mortality,Mortality, Infant,Postneonatal Mortality,Infant Mortalities,Mortalities, Infant,Mortalities, Neonatal,Mortalities, Postneonatal,Mortality, Neonatal,Mortality, Postneonatal,Neonatal Mortalities,Postneonatal Mortalities
D008297 Male Males
D001721 Birth Intervals The lengths of intervals between births to women in the population. Birth Spacing,First Birth Intervals,Pregnancy Intervals,Birth Interval,Birth Spacings,First Birth Interval,Pregnancy Interval
D002675 Child, Preschool A child between the ages of 2 and 5. Children, Preschool,Preschool Child,Preschool Children
D005191 Family Characteristics Size and composition of the family. Family Size,Couples,Family Demography,Family Life Surveys,Family Size, Average,Family Size, Completed,Family Size, Desired,Family Size, Expected,Family Size, Ideal,Family and Household,Generations,Head of Household,Households,One-Person Household,Average Family Size,Average Family Sizes,Completed Family Size,Completed Family Sizes,Demography, Family,Desired Family Size,Desired Family Sizes,Expected Family Size,Expected Family Sizes,Family Characteristic,Family Demographies,Family Life Survey,Family Sizes,Family Sizes, Ideal,Household,Household Head,Household Heads,Household and Family,Household, One-Person,Ideal Family Size,Ideal Family Sizes,One Person Household,One-Person Households,Survey, Family Life
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D012307 Risk Factors An aspect of personal behavior or lifestyle, environmental exposure, inborn or inherited characteristic, which, based on epidemiological evidence, is known to be associated with a health-related condition considered important to prevent. Health Correlates,Risk Factor Scores,Risk Scores,Social Risk Factors,Population at Risk,Populations at Risk,Correlates, Health,Factor, Risk,Factor, Social Risk,Factors, Social Risk,Risk Factor,Risk Factor Score,Risk Factor, Social,Risk Factors, Social,Risk Score,Score, Risk,Score, Risk Factor,Social Risk Factor
D012424 Rural Population The inhabitants of rural areas or of small towns classified as rural. Rural Residence,Rural Communities,Rural Spatial Distribution,Communities, Rural,Community, Rural,Distribution, Rural Spatial,Distributions, Rural Spatial,Population, Rural,Populations, Rural,Residence, Rural,Rural Community,Rural Populations,Rural Residences,Rural Spatial Distributions

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