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Background and Objective: Many patients who suffer from an acute stroke, will need long-term nursing home care. We are poorly informed about the demographic and clinical characteristics and about the care problems and received care of these patients. This study aims to provide a first description of these characteristics in this group of patients., Methods: Data on demographic and health-related characteristics, social participation and received care were collected with the Minimum Data Set of the Resident Assessment Instrument, from january 2004-march 2007, in patients who needed long-term nursing home care. Data were collected in eight nursing homes at admission and six months after admission., Results: Many patients were functionally impaired, suffered from depressive symptoms and pain, and were cognitively impaired. In addition, decisional capacity was frequently diminished. The majority of patients were residing at somatic wards, even when severe cognitive impairment was present, such as dementia. Several forms of restraints were frequently used, also at somatic wards. About 40% of the patients, mostly residing at somatic wards, received paramedical treatment. Social engagement was low and was correlated with functional impairment., Conclusions: Stroke patients who need long-term nursing home care suffer from problems in several domains. The high prevalence of cognitive impairment in stroke patients residing at somatic wards, combined with the ample use of restraints on these wards, raises questions about the appropriateness of the currently delivered care to these patients, considering the problems they have.

This study aimed to examine the association between unhealthy lifestyle in young age, midlife and/or old age and physical decline in old age, and to examine the association between chronic exposure to an unhealthy lifestyle throughout life and physical decline in old age. The study sample included 1297 respondents of the Longitudinal Aging Study Amsterdam (LASA). Lifestyle in old age (55-85 y) was assessed at baseline, while lifestyle in young age (around 25 y) and midlife (around 40 y) were assessed retrospectively. Lifestyle factors included physical activity, body mass index (BMI), number of alcohol drinks per week and smoking. Physical decline was calculated as change in physical performance score between baseline and six-year follow-up. Of the lifestyle factors present in old age, a BMI of 25-29 vs. BMI <25 kg/m2 (odds ratio (OR) 1.6; 95% confidence interval (CI) 1.1-2.2) and a BMI of > or =30 vs. BMI <25 kg/m2 (OR 1.8; 95% CI 1.2-2.7) were associated with physical decline in old age. Being physically inactive in old age was not significantly associated with an increased risk of physical decline, however, being physically inactive both in midlife and in old age increased the odds of physical decline in old age to 1.6 (95% CI 1.1-2.4) as compared to respondents who were physically inactive in midlife and physically active in old age. Being overweight in both age periods was associated with an OR of 1.5 (95% CI 1.1-2.2). These data suggest that overweight in old age, and chronic exposure to physical inactivity or overweight throughout life increases the risk of physical decline in old age. Therefore, physical activity and prevention of overweight at all ages should be stimulated to prevent physical decline in old age.

In order to identify persons who are at risk for dementia in an early phase, two classification trees were developed. Data were used from the Longitudinal Aging Study Amsterdam (LASA). The prevalence of dementia in the whole sample was 4.0%. In the first tree age seemed to be the strongest predictor, with an increased risk for persons older than 75. In this group the positive predictive value reached a maximum of 33.3% when the persons had memory complaints and a score on the Mini Mental State Examination (MMSE) <24. In a second classification tree, age was excluded as a predictor because of high association with the other potential predictors. In this tree functional limitations seemed the strongest predictor. In the group of persons with at least one functional limitations, the positive predictive value reached a maximum of 28.8% when the persons had memory complaints and a score <24 on the MMSE. In persons without memory complaints, persons with cardiovascular diseases or diabetes were at increased risk of dementia. Further research is necessary before these classification trees can be implemented in general health care.

The objective of this study was to investigate whether the association between Apolipoprotein E4 (ApoE4) and memory decline is modified by baseline general cognitive impairment and age in a population-based elderly sample. Subjects were participants in the Longitudinal Aging Study Amsterdam (LASA). The study sample consisted of 1,243 subjects, 62-85 years old, with a Mini-Mental State Examination (MMSE) score between 21-30 and known ApoE phenotypes. Memory performance was measured with a short version of the Auditory Verbal Learning Test (AVLT) at baseline and repeated after three years (N = 854). Memory decline was defined as a decrease of at least one standard deviation from the mean change score on immediate recall, delayed recall and retention. ApoE4 was associated with memory decline in cognitively impaired subjects (MMSE 21-26), but not in cognitively normal subjects (MMSE 27-30). In particular cognitively impaired E4 carriers older than 75 years were at high risk of memory decline. Contrary to AD studies, our study suggests that the risk of ApoE4 on memory decline does not decrease with ageing.