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Socioeconomic determinants of infant mortality

A worldwide study of 152 low-, middle-, and high-income countries

Datos Bibliográficos

ID23385573
AutoresCarl Otto Schell (0000-0002-7904-1336, Department of Public Health Sciences, Division of International Health (IHCAR) Karolinska Institutet, Stockholm, Sweden), Marie Reilly (0000-0002-9455-3081, Karolinska Institutet), Hans Rosling (Department of Public Health Sciences, Division of International Health (IHCAR) Karolinska Institutet, Stockholm, Sweden), Stefan Peterson (0000-0001-7203-3096, Department of Public Health Sciences, Division of International Health (IHCAR) Karolinska Institutet, Stockholm, Sweden), Anna Mia Ekström (0000-0002-3912-1171, Karolinska Institutet, autor de correspondencia), Muslima Ejaz (0000-0002-1187-9095, Department of Public Health Sciences, Division of International Health (IHCAR) Karolinska Institutet, Stockholm, Sweden,)
Año2007
Volumen35
Número3
Páginas288-297
Fecha de publicación2007-05-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaScandinavian Journal of Public Health (JOURNAL)
Identificadores de la revistaISSN: 1403-4948 • E-ISSN: 1651-1905
EditorialSAGE Publications (PUBLISHER • US)
DOI10.1080/14034940600979171
PMID17530551
OpenAlexW2022062479
IdiomaEN
Citas recibidas57
Referencias citadas28

Background: To reach the Millennium Development Goals for health, influential international bodies advocate for more resources to be directed to the health sector, in particular medical treatment. Yet, health has many determinants beyond the health sector that are less evident than proximate predictors. Aim: To assess the relative importance of major socioeconomic determinants of population health, measured as infant mortality rate (IMR), at country level. Methods: National-level data from 152 countries based on World Development Indicators 2003 were used for multivariate linear regression analyses of five socioeconomic predictors of IMR: public spending on health, GNI/capita, poverty rate, income equality (Gini index), and young female illiteracy rate. Analyses were performed on a global level and stratified for low-, middle-, and high-income countries. Results: In order of importance, GNI/capita, young female illiteracy, and income equality predicted 92% of the variation in national IMR whereas public spending on health and poverty rate were non-significant determinants when adjusted for confounding. In low-income countries, female illiteracy was more important than GNI/capita. Income equality (Gini index) was an independent predictor of IMR in middle-income countries only. In high-income countries none of these predictors was significant. Conclusions: The relative importance of major health determinants varies between income levels, thus extrapolating health policies from high- to low-income countries is problematic. Since the size, per se, of public health spending does not independently predict health outcomes, functioning health systems are necessary to make health investments efficient. Potential health gains from improved female education and economic growth should be considered in low- and middle-income countries

Developing country · Economic growth · Economic inequality · Economics · Environmental health · Functional illiteracy · Gini coefficient · Gross national income · Health indicator · Inequality · Per capita · Per capita income · Political science · Population · Population health · Poverty · Public health · Socioeconomic status · Socioeconomics · Sociology · Demography · Global Health Care Issues · Global Maternal and Child Health · Healthcare Systems and Reforms · Medicine

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Obras citantes distintas57
Citas por año3,17
Intervalo de citas2008 - 2026 (19)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 51
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