ABSTRACT
BACKGROUND: Projections of health and social care need are highly sensitive to assumptions about cohort trends in health and disability. We use a repeated population-based cross-sectional study from the Cambridgeshire centre of the UK Medical Research Council Cognitive Function and Ageing Study to investigate trends in the health of the young-old UK population METHODS: Non-overlapping cohorts of men and women aged 65-69 years in 1991/2 (n = 689) and 1996/7 (n = 687) were compared on: self-reported diseases and conditions; self-rated health; mobility limitation; disability by logistic regression and four-year survival by Cox Proportional Hazards Regression models, with adjustments for differences in socio-economic and lifestyle factors. RESULTS: Survival was similar between cohorts (HR: 0.91, 95% CI: 0.62 to 1.32). There was a significant increase in the number of conditions reported between cohorts, with more participants reporting 3 or more conditions in the new cohort (14.2% vs. 10.1%). When individual conditions were considered, there was a 10% increase in the reporting of arthritis and a significant increase in the reporting of chronic airways obstruction (OR: 1.36, 95% CI: 1.04 to 1.78). CONCLUSION: This study provides evidence of rising levels of ill-health, as measured by the prevalence of self-reported chronic conditions, in the newer cohorts of the young-old. Though changes in diagnosis or reporting of disease cannot, as yet, be excluded, to better understand whether our findings reflect real increases in ill-health, investment should be made into improved population-based databases, linking self-report and objective measures of health and function, and including those in long-term care.
Subject(s)
Aging , Chronic Disease/epidemiology , Cognition Disorders/epidemiology , Health Status , Population Surveillance/methods , Aged , Aging/physiology , Aging/psychology , Cross-Sectional Studies , Disability Evaluation , Female , Humans , Logistic Models , Male , Middle Aged , Proportional Hazards Models , Survival Analysis , United Kingdom/epidemiologyABSTRACT
BACKGROUND: This paper reports the association between self-reported diseases and impairments and 2-year onset of disability in a prospective study of people aged 65 years or older in five urban and rural centers in England and Wales (Medical Research Council Cognitive Function and Ageing Study; MRC-CFAS). METHODS: We initially reviewed risk factors for onset of disability in 35 prospective studies of functional decline in older people published in 1998-2001. In the present study, disability was defined as requiring help from another person at least several times a week and was assessed by dependency in activities of daily living. Polytomous and bivariate logistic regression models were fitted for onset of disability and mortality among those nondisabled at baseline (n=7913), adjusting for age, sex, and sociodemography. RESULTS: Among prevalent conditions, arthritis (population-attributable risk 11.4%) and cognitive impairment indicated by a Mini-Mental State Examination score of Subject(s)
Disabled Persons
, Disease
, Aged
, England
, Humans
, Prospective Studies
, Risk Factors
, Wales
ABSTRACT
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. However, these standard measures may be less relevant for older people. In this study, we explore the association between socioeconomic status and disability in older people using a range of individual, household and area level indicators of socioeconomic status, including a subjective measure of adequacy of income. We use cross-sectional data of 1470 participants aged 75 years or over on 31/12/1987 and registered with a UK primary care practice. Of these 719 participants with no disability at baseline were followed up until 2003 with measurements at up to seven time points to determine onset of disability. Disability was defined as difficulty with any one of five activities of daily living. In cross-sectional multivariate analysis, age, housing tenure, living status and a subjective measure of income adequacy were associated with prevalence of disability. In longitudinal analyses, self-perceived adequacy of income showed the strongest association with onset of disability; with those reporting difficulties managing having a median age of onset 80.5 years, 7 years younger than those who felt their income was adequate (median age 87.8 years). The prospective association between self-perceived adequacy of income and onset of disability decreased with age. This subjective measure of income adequacy may signify difficulties in budgeting, but could also capture differences in objective indicators of status not recorded in this study, such as wealth. Further work is needed to explore what causes older people to experience difficulty in managing their money and to understand the mechanisms behind its impact on their physical health.
Subject(s)
Disabled Persons , Socioeconomic Factors , Aged , Aged, 80 and over , Female , Humans , Longitudinal Studies , Male , United KingdomABSTRACT
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. Relationships between socioeconomic status and health decline were investigated using polytomous logistic regression modelling. The outcomes were onset of functional limitation and mortality. RESULTS: Standard of living was an independent predictor of 6-year functional limitation onset (Odds Ratio compared to good standard of living 2.2; 95% Confidence Interval 1.3-3.8) and mortality (OR=4.6; 95% CI 2.3-8.9) in women, with age, household type, educational qualifications and social class taken into account. However, in men, weaker associations were largely accounted for by differences in education and social class (adjusted OR for functional limitation onset 1.0; 95% CI 0.5-1.9; adjusted OR for mortality 1.4; 95% CI 0.6-2.9). A combined indicator of housing tenure and property value was also an independent predictor of functional limitation onset in women. CONCLUSIONS: Poor standard of living identifies women but not men at risk of health decline who are missed by social class and educational level. Measures of current home-based material resources are a useful addition to minimum datasets for monitoring health inequalities.