Socio-economic inequalities in physical functioning: a comparative study of English and Greek elderly men

The associations between socio-economic position (SEP) and physical functioning have frequently been investigated but little is known about which measures of SEP are the best to use for older people. This study examined how different SEP indicators related to the physical functioning of men aged 50 or more years in England and Greece. The data derived from Wave 1 of the English Longitudinal Study of Ageing (ELSA) and from the Survey of Health, Ageing and Retirement in Europe (SHARE). Self-reported physical functioning limitations and mobility difficulties were combined and categorised into ‘no disability’, ‘mild disability’ and ‘severe disability’. The SEP indicators studied were: wealth, educational level and occupational class. The findings indicate that respondents with less wealth, fewer educational qualifications and lower occupational class were more likely to experience mild or severe physical disability than those of high SEP. When all three measures of SEP were adjusted for each other, in both samples wealth maintained a strong association with mild and severe disability, while education was associated with severe disability but only among English men. Occupational class was not strongly associated with physical disability in either case. Hence, among English and Greek older men, wealth was a more important predictor of physical functioning difficulties than either occupational class or education

Factors incorporated into future survival estimation among Europeans

Background: Subjective survival probabilities are affected by individual-specific judgment and vary by factors known to differentiate actual mortality. Objective: The aim of this study is to evaluate whether sociodemographic characteristics, physical and mental health, and lifestyle are incorporated into subjective survival probabilities of Europeans aged 50 or higher. Methods: We use data from Wave 6 of the Survey of Health, Ageing and Retirement in Europe (SHARE) and period life tables from the Human Mortality Database (HMD). For the statistical analysis we employ multinomial logistic regression models. Results: Our results show that common factors drive the self-reported subjective survival probabilities. Certain factors affecting actual mortality are considered when forming subjective survival probabilities: income, education, poor physical and mental health, activities of daily living (ADLs), smoking, physical activity, diet, quality of life, and number of children. Other factors are not considered in a manner consistent with actual mortality patterns: age, gender, marital status, and body weight. The findings regarding cognitive function are inconclusive; whereas some aspects seem to be integrated in subjective survival probabilities (e.g., memory or self-writing skills), others are not (e.g., numeracy or orientation in time). Contribution: The contribution of this study is the grouping of sociodemographic, health, and lifestyle characteristics according to the subjective survival probabilities’ direction and consistency with general population mortality and actual mortality patterns. Hence, we assess which traits are incorporated in the formation of subjective survival probabilities among Europeans aged 50 or higher

European Community Atlas of ‘Avoidable Death’ -- 1

info:eu-repo/semantics/published

European Community Atlas of 'Avoidable Death' -- 2

info:eu-repo/semantics/published2