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Background: Studying social disparities in health implies the ability to measure them accurately, to compare them between different areas or countries and to follow trends over time. This study proposes a method for constructing a French European deprivation index, which will be replicable in several European countries and is related to an individual deprivation indicator constructed from a European survey specifically designed to study deprivation. Methods and Results: Using individual data from the European Union Statistics on Income and Living Conditions survey, goods/services indicated by individuals as being fundamental needs, the lack of which reflect deprivation, were selected. From this definition, which is specific to a cultural context, an individual deprivation indicator was constructed by selecting fundamental needs associated both with objective and subjective poverty. Next, the authors selected among variables available both in the European Union Statistics on Income and Living Conditions survey and French national census those best reflecting individual experience of deprivation using multivariate logistic regression. An ecological measure of deprivation was provided for all the smallest French geographical units. Preliminary validation showed a higher association between the French European Deprivation Index (EDI) score and both income and education than the Townsend index, partly ensuring its ability to measure individual socioeconomic status. Conclusion: This index, which is specific to a particular cultural and social policy context, could be replicated in 25 other European countries, thereby allowing European comparisons. EDI could also be reproducible over time. EDI could prove to be a relevant tool in evidence-based policymaking for measuring and reducing social disparities in health issues and even outside the medical domain. [ABSTRACT FROM AUTHOR]

Background Discussions on raising pension eligibility age focus more on improvement in life expectancy (LE) and health expectancy measures than on socioeconomic differences in these measures. Therefore, this study assesses the level of socioeconomic differences in these two measures in Western-Europe. Methods Data from seven annual waves (1995-2001) of the European Community Household Panel were used. Health and socioeconomic information was collected using standardised questionnaires. Health was measured in terms of disability in daily activities. Socioeconomic status was determined as education level at baseline. Multi-state Markov modelling was applied to obtain age-specific transition rates between health states for every country, educational level and gender. The multi-state life table method was used to estimate LE and disability free life expectancy (DFLE) according to country, educational level and gender. Results When comparing high and low educational levels, differences in partial DFLE between the ages 50 and 65 years were 2.1 years for men and 1.9 years for women. At age 65 years, for LE the difference between high and low educated groups was 3 years for men and 1.9 years for women, and for DFLE the difference between high and low educated groups was 4.6 years for men and 4.4 years for women. Similar patterns were observed in all countries, although inequalities tended to be greater in the southern countries. Conclusions Educational inequalities, favouring the higher educated, exist on both sides of the retirement eligibility age. Higher educated persons live longer in good health before retirement and can expect to live longer afterwards. [ABSTRACT FROM AUTHOR]

Background Reduced hand-grip strength predicts disability, morbidity and mortality, but whether it is shaped by socio-economic experiences is yet unknown. The authors examined the association of education, occupation, income and wealth with grip strength in older Europeans. Methods Data came from the Survey of Health, Ageing and Retirement in Europe comprising 27 351 participants ages 50+ in 11 countries. Grip strength was objectively measured using a handheld dynamometer. Estimates were obtained based on multivariate linear regression controlling for a wide set of confounders, demographics, health and disability measures, and behavioural risk factors. Results In the total sample, education, occupational class, income and wealth predicted grip strength among men, whereas only education and wealth predicted grip strength among women. While education and income effects were inconsistent in most countries, wealth consistently predicted grip strength in each country. A one-point increase in the log of wealth was associated with 0.38 kg (95% CI 0.31 to 0.45) higher grip strength in men and 0.18 kg (95% CI 0.15 to 0.21) higher grip strength in women. While education, income and occupation effects disappeared after adjustment for health measures, log of wealth effects remained significant in both men (0.22, 95% CI 0.15 to 0.29) and women (0.08, 95% CI 0.05 to 0.11). Wealth effects were particularly evident in the two lowest quintiles. Conclusion Old-age socio-economic and financial circumstances as measured by wealth are associated with grip strength, particularly among the least wealthy, while circumstances defined earlier in life as measured by education, income and occupation do not consistently predict grip strength. [ABSTRACT FROM AUTHOR]