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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

news
1 news outlet
twitter
19 tweeters
facebook
3 Facebook pages

Citations

dimensions_citation
54 Dimensions

Readers on

mendeley
170 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.

Twitter Demographics

The data shown below were collected from the profiles of 19 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 170 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 <1%
Unknown 169 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 32 19%
Researcher 26 15%
Student > Ph. D. Student 24 14%
Student > Bachelor 16 9%
Student > Doctoral Student 11 6%
Other 23 14%
Unknown 38 22%
Readers by discipline Count As %
Social Sciences 41 24%
Medicine and Dentistry 33 19%
Nursing and Health Professions 20 12%
Economics, Econometrics and Finance 9 5%
Psychology 4 2%
Other 16 9%
Unknown 47 28%

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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
#1,456,058
of 22,947,506 outputs
Outputs from BMC Public Health
#1,595
of 14,955 outputs
Outputs of similar age
#28,441
of 339,531 outputs
Outputs of similar age from BMC Public Health
#40
of 195 outputs
Altmetric has tracked 22,947,506 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,955 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has done well, scoring higher than 89% 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 339,531 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 91% 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 80% of its contemporaries.