Literature DB >> 28549140

The relationships between income inequality, welfare regimes and aggregate health: a systematic review.

Ki-Tae Kim1.   

Abstract

Background: : When analysing the relationships between income inequality, welfare regimes and aggregate health at the cross-national level, previous primary articles and systematic reviews reach inconsistent conclusions. Contrary to theoretical expectations, equal societies or the Social Democratic welfare regime do not always have the best aggregate health when compared with those of other relatively unequal societies or other welfare regimes. This article will shed light on the controversial subjects with a new decomposition systematic review method. The decomposition systematic review method breaks down an individual empirical article, if necessary, into multiple findings based on an article's use of the following four components: independent variable, dependent variable, method and dataset. This decomposition method extracts 107 findings from the selected 48 articles, demonstrating the dynamics between the four components. 'The age threshold effect' is recognized over which the hypothesized relations between income inequality, welfare regimes and aggregate health reverse. The hypothesis is supported mainly for younger infant and child health indicators, but not for adult health or general health indicators such as life expectancy. Further three threshold effects (income, gender and period) have also been put forward. The negative relationship between income inequality and aggregate health, often termed as the Wilkinson Hypothesis, was not generally observed in all health indicators except for infant and child mortality. The Scandinavian welfare regime reveals worse-than-expected outcomes in all health indicators except infant and child mortality.
© The Author 2017. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.

Entities:  

Mesh:

Year:  2017        PMID: 28549140     DOI: 10.1093/eurpub/ckx055

Source DB:  PubMed          Journal:  Eur J Public Health        ISSN: 1101-1262            Impact factor:   3.367


  7 in total

1.  Neighbourhood characteristics and health outcomes: evaluating the association between socioeconomic status, tobacco store density and health outcomes in Baltimore City.

Authors:  Panagis Galiatsatos; Cynthia Kineza; Seungyoun Hwang; Juliana Pietri; Emily Brigham; Nirupama Putcha; Cynthia S Rand; Meredith McCormack; Nadia N Hansel
Journal:  Tob Control       Date:  2017-11-23       Impact factor: 7.552

2.  Impact of Political Economy on Population Health: A Systematic Review of Reviews.

Authors:  Gerry McCartney; Wendy Hearty; Julie Arnot; Frank Popham; Andrew Cumbers; Robert McMaster
Journal:  Am J Public Health       Date:  2019-06       Impact factor: 9.308

3.  Are Primary Health Care Features Associated with Reduced Late Neonatal Mortality in Brazil? An Ecological Study.

Authors:  Amanda Namíbia Pereira Pasklan; Thiago Augusto Hernandes Rocha; Rejane Christine de Sousa Queiroz; Núbia Cristina da Silva Rocha; Luiz Augusto Facchini; Erika Bárbara Abreu Fonseca Thomaz
Journal:  Matern Child Health J       Date:  2021-11-03

4.  Economics for people and planet-moving beyond the neoclassical paradigm.

Authors:  Lina Brand-Correa; Anna Brook; Milena Büchs; Petra Meier; Yannish Naik; Daniel W O'Neill
Journal:  Lancet Planet Health       Date:  2022-04

Review 5.  Going upstream - an umbrella review of the macroeconomic determinants of health and health inequalities.

Authors:  Yannish Naik; Peter Baker; Sharif A Ismail; Taavi Tillmann; Kristin Bash; Darryl Quantz; Frances Hillier-Brown; Wikum Jayatunga; Gill Kelly; Michelle Black; Anya Gopfert; Peter Roderick; Ben Barr; Clare Bambra
Journal:  BMC Public Health       Date:  2019-12-17       Impact factor: 3.295

6.  A population-based survey of the prevalence of self-reported acute gastrointestinal illness in Zhejiang Province, China.

Authors:  Ji-Kai Wang; Yue He; Li-Li Chen; He-Xiang Zhang; Xiao-Juan Qi; Liang Sun; Shuang-Feng Zhang; Jiang Chen; Rong-Hua Zhang
Journal:  PLoS One       Date:  2022-05-18       Impact factor: 3.240

7.  Levelling up: Global examples of reducing health inequalities.

Authors:  Clare Bambra
Journal:  Scand J Public Health       Date:  2021-06-19       Impact factor: 3.199

  7 in total

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