2017
DOI: 10.1186/s12889-017-4310-z
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The impact of income inequality and national wealth on child and adolescent mortality in low and middle-income countries

Abstract: BackgroundIncome inequality and national wealth are strong determinants for health, but few studies have systematically investigated their influence on mortality across the early life-course, particularly outside the high-income world.MethodsWe performed cross-sectional regression analyses of the relationship between income inequality (national Gini coefficient) and national wealth (Gross Domestic Product (GDP) averaged over previous decade), and all-cause and grouped cause national mortality rate amongst infa… Show more

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Cited by 52 publications
(32 citation statements)
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“…Children experience worse health and well-being in countries with higher income inequality. This finding has been replicated in low-and middle-income countries (8) as well as in rich countries 1 (9). The United States simultaneously scores highest among rich nations on income inequality and lowest on indices of children's health (9).…”
Section: Income Inequality and A Growing Dividementioning
confidence: 74%
“…Children experience worse health and well-being in countries with higher income inequality. This finding has been replicated in low-and middle-income countries (8) as well as in rich countries 1 (9). The United States simultaneously scores highest among rich nations on income inequality and lowest on indices of children's health (9).…”
Section: Income Inequality and A Growing Dividementioning
confidence: 74%
“…Declines in TB incidence in high-income settings have been associated with improvements in socio-economic conditions in addition to enhanced efforts to find cases. However, although socio-economic determinants are relevant to a range of key health endpoints (O'Hare et al, 2013), economic growth has not had a significant impact on the burden of TB in most countries with a high burden of TB, perhaps as a result of the uneven distribution of wealth in these countries (Ward and Viner, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…A commonly used indicator of the heterogeneity of a statistical data series is the Gini coefficient, commonly used to measure the income gap of residents in a country or region (Anderson et al, 2017;Chen et al, 2018;Ward & Viner, 2017;Witlox, 2017). The indicator has also been used in 10.1029/2019WR025520…”
Section: Rainfall Error Estimation Considering Spatial Distributionmentioning
confidence: 99%