↓ Skip to main content

Later life health in Europe: how important are country level influences?

Overview of attention for article published in European Journal of Ageing, January 2012
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
48 Mendeley
Title
Later life health in Europe: how important are country level influences?
Published in
European Journal of Ageing, January 2012
DOI 10.1007/s10433-011-0215-3
Pubmed ID
Authors

George B. Ploubidis, Caroline Dale, Emily Grundy

Abstract

In this article, we examine the extent and pattern of country level differences in later life health in Europe and compare five competing explanations for this variation. We used data from 14 European countries, drawn from Northern (Denmark and Sweden), Western (Austria, France, Ireland, Germany Belgium, the Netherlands and Switzerland), Mediterranean (Spain, Italy and Greece) and Eastern (Poland and Czechia) regions of Europe, N = 33,528. Our results suggest that about a quarter (24%) of the overall variation in later life health in Europe appears to be due to country level differences. The Scandinavian countries along with Germany, the Netherlands and Switzerland appear to have the best health, whereas Spain, Italy and Poland had the lowest health score. Country level influences on health were largely associated with differences in the level of egalitarianism of each country as measured by the Gini coefficient, with more inequality being associated with poorer health. Differences in health-related lifestyle, as approximated by the prevalence of obesity in each country, also had a substantial macrolevel influence on later life health, with a lower national prevalence of obesity being associated with better health. Our results indicate the presence of systematic macrolevel health variation in Europe and suggest that policies to reduce income inequality as well as population interventions to promote healthier lifestyles and decrease the prevalence of obesity have the potential to improve population health and potentially offset some of the challenges posed by population ageing in Europe.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Spain 1 2%
Portugal 1 2%
Unknown 45 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 23%
Student > Ph. D. Student 8 17%
Student > Master 5 10%
Student > Doctoral Student 5 10%
Professor 4 8%
Other 8 17%
Unknown 7 15%
Readers by discipline Count As %
Social Sciences 16 33%
Medicine and Dentistry 8 17%
Psychology 5 10%
Economics, Econometrics and Finance 4 8%
Nursing and Health Professions 3 6%
Other 3 6%
Unknown 9 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 01 March 2012.
All research outputs
#20,155,513
of 22,663,150 outputs
Outputs from European Journal of Ageing
#310
of 331 outputs
Outputs of similar age
#222,818
of 246,185 outputs
Outputs of similar age from European Journal of Ageing
#4
of 4 outputs
Altmetric has tracked 22,663,150 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 331 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 246,185 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.