| Title |
Differences in healthy life expectancy between older migrants and non-migrants in three European countries over time
|
|---|---|
| Published in |
International Journal of Public Health, February 2017
|
| DOI | 10.1007/s00038-017-0949-6 |
| Pubmed ID | |
| Authors |
Matias Reus-Pons, Eva U. B. Kibele, Fanny Janssen |
| Abstract |
We analysed differences in healthy life expectancy at age 50 (HLE50) between migrants and non-migrants in Belgium , the Netherlands, and England and Wales, and their trends over time between 2001 and 2011 in the latter two countries. Population, mortality and health data were derived from registers, census or surveys. HLE50 and the share of remaining healthy life years were calculated for non-migrants, western and non-western migrants by sex. We applied decomposition techniques to answer whether differences in HLE50 between origin groups and changes in HLE50 over time were attributable to either differences in mortality or health. In all three countries, older (non-western) migrants could expect to live less years in good health than older non-migrants. Differences in HLE50 between migrants and non-migrants diminished over time in the Netherlands, but they increased in England and Wales. General health, rather than mortality, mainly explained (trends in) inequalities in healthy life expectancy between migrants and non-migrants. Interventions aimed at reducing the health and mortality inequalities between older migrants and non-migrants should focus on prevention, and target especially non-western migrants. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 20% |
| United States | 1 | 20% |
| Canada | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 1 | 20% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 64 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 25% |
| Researcher | 7 | 11% |
| Student > Master | 7 | 11% |
| Student > Bachelor | 4 | 6% |
| Student > Doctoral Student | 2 | 3% |
| Other | 5 | 8% |
| Unknown | 23 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 17% |
| Social Sciences | 11 | 17% |
| Nursing and Health Professions | 5 | 8% |
| Business, Management and Accounting | 3 | 5% |
| Arts and Humanities | 2 | 3% |
| Other | 4 | 6% |
| Unknown | 28 | 44% |
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 18 December 2019.
All research outputs
#3,314,764
of 25,382,440 outputs
Outputs from International Journal of Public Health
#379
of 1,900 outputs
Outputs of similar age
#58,849
of 325,699 outputs
Outputs of similar age from International Journal of Public Health
#17
of 33 outputs
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