Socioeconomic factors contributing to under-five mortality in sub-Saharan Africa: a decomposition analysis

被引:80
|
作者
Van Malderen, Carine [1 ]
Amouzou, Agbessi [2 ]
Barros, Aluisio J. D. [3 ]
Masquelier, Bruno [4 ,5 ]
Van Oyen, Herman [6 ,7 ]
Speybroeck, Niko [1 ]
机构
[1] Catholic Univ Louvain, Inst Hlth & Soc IRSS, Brussels, Belgium
[2] Johns Hopkins Bloomberg Sch Publ Hlth, 615 N Wolfe St, Baltimore, MD 21205 USA
[3] Univ Fed Pelotas, Pelotas, Brazil
[4] Catholic Univ Louvain, Ctr Rech Demog, Louvain La Neuve, Belgium
[5] INED, Paris, France
[6] Sciensano, Dept Publ Hlth & Surveillance, Brussels, Belgium
[7] Univ Ghent, Dept Publ Hlth, Ghent, Belgium
关键词
Under-five mortality; Sub-Saharan Africa; Poisson regression; Gini decomposition; Socioeconomic inequalities; MIDDLE-INCOME COUNTRIES; CHILD-MORTALITY; HEALTH; INEQUALITIES; INFANT; TRENDS; DETERMINANTS; FRAMEWORK;
D O I
10.1186/s12889-019-7111-8
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
BackgroundIn sub-Saharan Africa, socioeconomic factors such as place of residence, mother's educational level, or household wealth, are strongly associated with risk factors of under-five mortality (U5M) such as health behavior or exposure to diseases and injuries. The aim of the study was to assess the relative contribution of four known socioeconomic factors to the variability in U5M in sub-Saharan countries.MethodsThe study was based on birth histories from the Demographic and Health Surveys conducted in 32 sub-Saharan countries in 2010-2016. The relative contribution of sex of the child, place of residence, mother's educational level, and household wealth to the variability in U5M was assessed using a regression-based decomposition of a Gini-type index.ResultsThe Gini index - measuring the variability in U5M related to the four socioeconomic factors - varied from 0.006 (95%CI: 0.001-0.010) in Liberia 2013 to 0.034 (95%CI: 0.029-0.039) in Cote d'Ivoire 2011/12. The main contributors to the Gini index (with a relative contribution higher than 25%) were different across countries: mother's educational level in 13 countries, sex of the child in 12 countries, household wealth in 11 countries, and place of residence in 8 countries (in some countries, more than one main contributor was identified).ConclusionsFactors related to socioeconomic status exert varied effects on the variability in U5M in sub-Saharan African countries. The findings provide evidence in support of prioritizing intersectoral interventions aiming at improving child survival in all subgroups of a population.
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页数:19
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