Abstract
Women generally live longer than men, but women’s longer lives are not necessarily healthy lives. The aim of this article
is to describe the pattern of gender differences in expected years with and without activity limitations across 25 EU countries
and to explore the association between gender differences and macro-level factors. We applied to the Eurostat life table’s
data from the Statistics of Income and Living Conditions Survey to estimate gender differences in life expectancy with and
without activity limitations at age 50 for 2005. We studied the relationship between the gender differences and structural
indicators using meta-regression techniques. Differences in years with activity limitations between genders were associated
with the life expectancy (LE) and the size of the gender difference in LE. Gender difference in years with activity limitations
were larger as the gross domestic product, the expenditure on elderly care and the indicator of life-long learning decreased,
and as the inequality in income distribution increased. There was evidence of disparity in the associations between the more
established EU countries (EU15) and the newer EU10 countries. Among the EU15, gender differences were positively associated
with income inequality, the proportion of the population with a low education and the men’s mean exit age from labour force.
Among the EU10, inequalities were smaller with increasing expenditure in elderly care, with decreasing poverty risk and with
decreasing employment rate of older people. The association between structural indicators and the gender gap in years with
activity limitations suggests that gender differences can be reduced.
is to describe the pattern of gender differences in expected years with and without activity limitations across 25 EU countries
and to explore the association between gender differences and macro-level factors. We applied to the Eurostat life table’s
data from the Statistics of Income and Living Conditions Survey to estimate gender differences in life expectancy with and
without activity limitations at age 50 for 2005. We studied the relationship between the gender differences and structural
indicators using meta-regression techniques. Differences in years with activity limitations between genders were associated
with the life expectancy (LE) and the size of the gender difference in LE. Gender difference in years with activity limitations
were larger as the gross domestic product, the expenditure on elderly care and the indicator of life-long learning decreased,
and as the inequality in income distribution increased. There was evidence of disparity in the associations between the more
established EU countries (EU15) and the newer EU10 countries. Among the EU15, gender differences were positively associated
with income inequality, the proportion of the population with a low education and the men’s mean exit age from labour force.
Among the EU10, inequalities were smaller with increasing expenditure in elderly care, with decreasing poverty risk and with
decreasing employment rate of older people. The association between structural indicators and the gender gap in years with
activity limitations suggests that gender differences can be reduced.
- Content Type Journal Article
- DOI 10.1007/s10433-010-0172-2
- Authors
- Herman Van Oyen, Department of Public Health and Surveillance, Scientific Institute of Public Health, Brussels, Belgium
- Bianca Cox, Department of Public Health and Surveillance, Scientific Institute of Public Health, Brussels, Belgium
- Carol Jagger, Department of Health Sciences, University of Leicester, Leicester, United Kingdom
- Emmanuelle Cambois, French Institute for Demographic Studies, INED, Paris, France
- Wilma Nusselder, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, Netherlands
- Clare Gilles, Department of Health Sciences, University of Leicester, Leicester, United Kingdom
- Jean-Marie Robine, French Institute of Health and Medical Research, INSERM, Paris, France
- Journal European Journal of Ageing
- Online ISSN 1613-9380
- Print ISSN 1613-9372