Publications by authors named "Ruth M Hancock"

We examine birth-cohort trends behind recent changes in the prevalence of functional disability in the older population living in private households in the United Kingdom (UK). By using three different socio-economic indicators available in the nationally representative cross-sectional data on older individuals interviewed between 2002 and 2012 in the Family Resource Survey (FRS) (96,733 respondents), we investigate the extent to which the overall trends have been more favourable among more advantaged than disadvantaged socioeconomic groups. Compared to the cohort of people born in 1924, successive cohorts of older men have lower odds of having at least one functional difficulty (FD), whereas no significant trend was found for women.

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Purpose: To investigate the predictive validity for health decline of a standard of living, a measure that combines basic necessities and consumer durables.

Method: A nationally representative sample of those aged 55-69 years was interviewed at home in the Great Britain Retirement and Retirement Plans Survey, (1988; n=3,541). In 1994, 2,247 were re-interviewed, response rate being 70% of survivors.

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The effect of socio-economic disadvantage on mortality is well documented and differences exist even at older ages. However, whether this translates into differences in the quality of life lived at older ages is less well studied, and in particular in the proportion of remaining life spent without ill health (healthy life expectancy), a key UK Government target. Although there have been studies exploring socio-economic differences in disability-free life expectancy (DFLE) worldwide, these have tended to focus on a single measure of socio-economic advantage, for example, education, race, social class or income, with the majority based on cross-sectional data from younger populations.

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Although the association between socioeconomic status and mortality is well documented, there is less work focusing on the association with morbidity in older people. This is partly due to the difficulties of measuring socioeconomic status at older ages. The work that does exist tends to use cross-sectional data and objective measures of socioeconomic status such as education, social class or income.

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