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Migrant integration policies and health inequalities in Europe

Overview of attention for article published in BMC Public Health, June 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

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1 news outlet
twitter
18 X users
facebook
3 Facebook pages

Citations

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73 Dimensions

Readers on

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180 Mendeley
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Title
Migrant integration policies and health inequalities in Europe
Published in
BMC Public Health, June 2016
DOI 10.1186/s12889-016-3095-9
Pubmed ID
Authors

Margherita Giannoni, Luisa Franzini, Giuliano Masiero

Abstract

Research on socio-economic determinants of migrant health inequalities has produced a large body of evidence. There is lack of evidence on the influence of structural factors on lives of fragile groups, frequently exposed to health inequalities. The role of poor socio-economic status and country level structural factors, such as migrant integration policies, in explaining migrant health inequalities is unclear. The objective of this paper is to examine the role of migrant socio-economic status and the impact of migrant integration policies on health inequalities during the recent economic crisis in Europe. Using the 2012 wave of Eurostat EU-SILC data for a set of 23 European countries, we estimate multilevel mixed-effects ordered logit models for self-assessed poor health (SAH) and self-reported limiting long-standing illnesses (LLS), and multilevel mixed-effects logit models for self-reported chronic illness (SC). We estimate two-level models with individuals nested within countries, allowing for both individual socio-economic determinants of health and country-level characteristics (healthy life years expectancy, proportion of health care expenditure over the GDP, and problems in migrant integration policies, derived from the Migrant Integration Policy Index (MIPEX). Being a non-European citizen or born outside Europe does not increase the odds of reporting poor health conditions, in accordance with the "healthy migrant effect". However, the country context in terms of problems in migrant integration policies influences negatively all of the three measures of health (self-reported health status, limiting long-standing illnesses, and self-reported chronic illness) in foreign people living in European countries, and partially offsets the "healthy migrant effect". Policies for migrant integration can reduce migrant health disparities.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 180 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 <1%
Unknown 179 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 32 18%
Researcher 30 17%
Student > Ph. D. Student 25 14%
Student > Bachelor 16 9%
Student > Doctoral Student 12 7%
Other 24 13%
Unknown 41 23%
Readers by discipline Count As %
Social Sciences 45 25%
Medicine and Dentistry 33 18%
Nursing and Health Professions 20 11%
Economics, Econometrics and Finance 8 4%
Psychology 4 2%
Other 17 9%
Unknown 53 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 21 March 2017.
All research outputs
#1,752,176
of 25,000,733 outputs
Outputs from BMC Public Health
#1,959
of 16,675 outputs
Outputs of similar age
#31,158
of 346,225 outputs
Outputs of similar age from BMC Public Health
#44
of 195 outputs
Altmetric has tracked 25,000,733 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,675 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has done well, scoring higher than 88% 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 346,225 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 195 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.