Dataset Information

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

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.

SUBMITTER: Ploubidis GB

PROVIDER: S-EPMC5547417 | biostudies-other | 2012 Mar

REPOSITORIES: biostudies-other

ACCESS DATA

Similar Datasets

Project description:Background: A high level of well-being is associated with personal, community and national income, as well as personal, social and political trust. How these measures relate to each other within and between countries and within and across structural levels of society is largely unknown. To study this, we propose a three-layer nested socio-structural model. Each layer (individual, community, country) contains a measure of income, trust and satisfaction. Method: With this model, we analyzed data from two waves of the European Social Survey (ESS, 2006, 2012) in 19 countries (N = 72,461; weighted N = 73,307) with multilevel techniques. Indicators were personal, community, and national income; personal, social and political trust; and personal life satisfaction, social and political satisfaction. Results: Personal life satisfaction was associated with all income and trust variables. Greatest effect on personal life satisfaction, came from the national level, including political trust and income. However, 2/3 of the variance in personal life satisfaction came from income, that is personal, community and national. Within each socio-structural level, satisfaction was associated with income, but significantly modified by trust. When income and trust at all three levels were included, there was a significant association of the national layer on the social layer, and of the social layer on the individual layer as to the income-personal life satisfaction relationship. Consistent with the "the buffer hypothesis," all three forms of trust acted as a buffer against the effect of personal income on life satisfaction. Low-trust countries had strong income-personal life satisfaction associations and the moderating role of trust was also stronger. High- and medium-trust countries had no such associations. Likewise, direct associations between political and personal trust were much stronger in the low-trust countries. Conclusion: The model presented in this study provides authorities with a framework for policies that will improve the general well-being of their population. Trust and income strongly influence personal life satisfaction. Money is the most important. However, trust forcefully dampens the effect of income. Politicians who want to enhance their population's personal life satisfaction, should raise the levels of trust in their electorate.

Dataset Information

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

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets