Healthy Ageing: tackling the burden of disease and disability in an ageing population

Healthy ageing of individuals is crucial to prevent strong increases in the burden of disease and disability due to population ageing. We aimed to quantify the current burden of disease and disability and assessed which determinants explain the burden of disability. The occurrence of disability increased towards older ages, but there was a particularly strong increase during the last few years of life. Mild disability was strongly related with age (time since birth), whereas severe disability was related most with time to death. This suggests that, when the life expectancy further increases, the years lived with mild disability will increase, whereas the years with severe disability will remain more unchanged. The analysis of determinants showed that diseases such as back pain, peripheral vascular disease and stroke had a high disabling impact and, therefore, contributed much to the burden of disability. Arthritis and heart disease were less disabling but contributed much because of their high prevalence. There was a substantial educational inequality in the burden of disability, which was to a large extent (50%) explained by differences in diseases’ disabling impact. Obese persons could e

Disability occurrence and proximity to death

Purpose: This paper aims to assess whether disability occurrence is related more strongly to proximity to death than to age. Method: Self reported disability and vital status were available from six annual waves and a subsequent 12-year mortality follow-up of the Dutch GLOBE longitudinal study. Logit and Poisson regression methods were used to study associations of disability occurrence with age and with proximity to death. Results: For disability in activities of daily living (ADL), regression models with proximity to death had better goodness of fit than models with age. With approaching death, the odds for ADL disability prevalence and incidence rates increased 20.0% and 18.9% per year, whereas severity increased 4.1% per year. For the ages younger than 60, 60-69 and older than 70 years, the odds for ADL disability prevalence increased 6.4%, 16.0% and 23.0% per year. Among subjects with asthma/COPD, heart disease and diabetes increases were 25.1%, 19.5% and 22.72% per year. Functional impairments were more strongly related to age. Conclusions: The strong association of (ADL) disability occurrence with proximity to death implies that a substantial part of the disability burden may shift to older ages with further increases in life expectancy

Compressie van morbiditeit: een veelbelovende benadering om de maatschappelijke consequenties van vergrijzing te verlichten?

There is an urgent need for strategies that alleviate the societal consequences of population ageing. A possible strategy is aiming for compression of morbidity. Some of the initial conditions for a compression of morbidity have been invalidated. The life expectancy has shown a much stronger increase than was expected and the modal age at death has exceeded the age of 85. Trend studies have found no consistent evidence for a compression of morbidity. At the department of Public Health, we aim at identifying entry-points for a compression. For example, an analysis was performed on potential contributions of changes in exposure to life style factors (smoking, hypertension, physical inactivity and overweight/obesity) to compression of cardiovascular disease, using multi-state life tables with data from the Framingham Heart Study. It was shown that smoking and physical inactivity increased the incidence of cardiovascular disease, as well as mortality with and without cardiovascular disease. Hypertension and overweight mainly increased the incidence of cardiovascular disease. Interventions on the latter risk factors will therefore increase the life expectancy, but will also result in a compression of morbidity. For policymakers and researchers it is important to find a mix of interventions that lead to a comparable overall effect

Future disability projections could be improved by connecting to the theory of a dynamic equilibrium

Objective Projections of future trends in the burden of disability could be guided by models linking disability to life expectancy, such as the dynamic equilibrium theory. This paper tests the key assumption of this theory that severe disability is associated to proximity to death whereas mild disability is not. Study Design and Setting Using data from the GLOBE study, the association of three levels of self-reported ADL disability with age and proximity to death was studied using logistic regression models. These regression estimates were used to estimate the number of life years with disability for life spans of 75 and 85 years. Results The prevalence of disability incrementally increased with approaching death with 12 percent per year for moderate disability to 19 percent for severe disability. However, no association was observed for mild disability. A ten year increase of lifespan was estimated to result in a substantial expansion of mild disability (4.6 years) compared to a small expansion of moderate (0.7 years) and severe (0.9 years) disability. Conclusion These findings support the theory of a dynamic equilibrium. Projections of the future burden of disability could be substantially improved by connecting to this theory and incorporating information on proximity to death

Do social relations buffer the effect of neighborhood deprivation on health-related quality of life? Results from the LifeLines Cohort Study

We investigated whether social relations buffer the effect of neighborhood deprivation on mental and physical health-related quality of life. Baseline data from the LifeLines Cohort Study (N=68,111) and a neighborhood deprivation index were used to perform mixed effect linear regression analyses. Results showed that fewer personal contacts (b, 95%CI: 0.88(-1.08;-0.67)) and lower social need fulfillment (-4.52(-4.67;-4.36)) are associated with lower mental health-related quality of life. Higher neighborhood deprivation was also associated with lower mental health related quality of life (-0.18(-0.24;-0.11)), but only for those with few personal contacts or low social need fulfillment. Our results suggest that social relations buffer the effect of neighborhood deprivation on mental health-related quality of life

Associations between Childhood Parental Mental Health Difficulties and Depressive Symptoms in Late Adulthood:The Influence of Life-Course Socioeconomic, Health and Lifestyle Factors

Background Depression among older adults (i.e., the 50+) is a major health concern. The objective of this study is to investigate whether growing up with a parent suffering from mental health problems is associated with depressive symptoms in late-adulthood and how this association is influenced by life-course socio-economic, health and lifestyle factors in childhood and late adulthood. Methods We used life-history data from the SHARE survey, consisting of 21,127 participants living in 13 European countries. Symptoms of depression were assessed using the EURO-D scale. Parental mental health was assessed by asking respondents to report whether any of their parents had mental health problems during the respondents' childhood. Logistic regression models were used to assess the association between parental mental health status and depression. Variables on childhood and late-life socio-economic, health and lifestyle factors were sequentially added to the model to assess the extent to which this association is influenced by life-course circumstances. Results Individuals who were exposed during childhood to a parent with mental health problems suffered from depressive symptoms more often in late adulthood than those who were not (OR 1.76, 95% CI: 1.43-2.17). Adjustment for life-course socio-economic, health and lifestyle factors in childhood and late adulthood diminished this association to an OR of 1.54 (95% CI: 1.24-1.90) and OR of 1.45 (95% CI: 1.16-1.82), respectively. Conclusion Our results indicate a substantial association between parental mental health problems in childhood and depression in late adulthood and that this association is partly explained by childhood as well as late adulthood socio-economic, health and lifestyle factors

(Un)Healthy in the City:Respiratory, Cardiometabolic and Mental Health Associated with Urbanity

Research has shown that health differences exist between urban and rural areas. Most studies conducted, however, have focused on single health outcomes and have not assessed to what extent the association of urbanity with health is explained by population composition or socioeconomic status of the area. Our aim is to investigate associations of urbanity with four different health outcomes (i.e. lung function, metabolic syndrome, depression and anxiety) and to assess whether these associations are independent of residents' characteristics and area socioeconomic status.Our study population consisted of 74,733 individuals (42% males, mean age 43.8) who were part of the baseline sample of the LifeLines Cohort Study. Health outcomes were objectively measured with spirometry, a physical examination, laboratory blood analyses, and a psychiatric interview. Using multilevel linear and logistic regression models, associations of urbanity with lung function, and prevalence of metabolic syndrome, major depressive disorder and generalized anxiety disorder were assessed. All models were sequentially adjusted for age, sex, highest education, household equivalent income, smoking, physical activity, and mean neighborhood income.As compared with individuals living in rural areas, those in semi-urban or urban areas had a poorer lung function (β -1.62, 95% CI -2.07;-1.16), and higher prevalence of major depressive disorder (OR 1.65, 95% CI 1.35;2.00), and generalized anxiety disorder (OR 1.58, 95% CI 1.35;1.84). Prevalence of metabolic syndrome, however, was lower in urban areas (OR 0.51, 95% CI 0.44;0.59). These associations were only partly explained by differences in residents' demographic, socioeconomic and lifestyle characteristics and socioeconomic status of the areas.Our results suggest a differential health impact of urbanity according to type of disease. Living in an urban environment appears to be beneficial for cardiometabolic health but to have a detrimental impact on respiratory function and mental health. Future research should investigate which underlying mechanisms explain the differential health impact of urbanity