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The role of income inequality and social policies on income-related health inequalities in Europe

Overview of attention for article published in International Journal for Equity in Health, October 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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17 X users
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1 Facebook page

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47 Dimensions

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150 Mendeley
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Title
The role of income inequality and social policies on income-related health inequalities in Europe
Published in
International Journal for Equity in Health, October 2015
DOI 10.1186/s12939-015-0247-y
Pubmed ID
Authors

Regina Jutz

Abstract

The aim of the paper is to examine the role of income inequality and redistribution for income-related health inequalities in Europe. This paper contributes in two ways to the literature on macro determinants of socio-economic inequalities in health. First, it widens the distinctive focus of the research field on welfare state regimes to quantifiable measures such as social policy indicators. Second, looking at income differences completes studies on socio-economic health inequalities, which often analyse health inequalities based on educational differences. Using data from the European Values Study (2008/2009), 42 European countries are available for analysis. Country characteristics are derived from SWIID, Eurostat, and ILO and include indicators for income inequality, social policies, and economic performance. The data is analysed by using a two-step hierarchical estimation approach: At the first step-the individual level-the effect of household income on self-assessed health is extracted and introduced as an indicator measuring income-related health inequalities at the second step, the country-level. Individual-level analyses reveal that income-related health inequalities exist all across Europe. Results from country-level analyses show that higher income inequality is significantly positively related to higher health inequalities while social policies do not show significant relations. Nevertheless, the results show the expected negative association between social policies and health inequalities. Economic performance also has a reducing influence on health inequalities. In all models, income inequality was the dominating explanatory effect for health inequalities. The analyses indicate that income inequality has more impact on health inequalities than social policies. On the contrary, social policies seemed to matter to all individuals regardless of socio-economic position since it is significantly positively linked to overall population health. Even though social policies are not significantly related to health inequalities, the power of public redistribution to impact health inequalities should not be downplayed. Social policies as a way of public redistribution are a possible instrument to reduce income inequalities which would in turn lead to a reduction in health inequalities.

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 150 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Romania 1 <1%
Switzerland 1 <1%
Brazil 1 <1%
Unknown 146 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 17%
Student > Master 22 15%
Researcher 20 13%
Student > Bachelor 13 9%
Student > Doctoral Student 8 5%
Other 30 20%
Unknown 32 21%
Readers by discipline Count As %
Social Sciences 28 19%
Medicine and Dentistry 25 17%
Economics, Econometrics and Finance 17 11%
Nursing and Health Professions 14 9%
Agricultural and Biological Sciences 6 4%
Other 23 15%
Unknown 37 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 September 2017.
All research outputs
#2,848,922
of 22,831,537 outputs
Outputs from International Journal for Equity in Health
#525
of 1,904 outputs
Outputs of similar age
#42,344
of 284,235 outputs
Outputs of similar age from International Journal for Equity in Health
#12
of 43 outputs
Altmetric has tracked 22,831,537 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,904 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has gotten more attention than average, scoring higher than 72% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 284,235 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.