Dementia-related disability in the population aged 90 years and over: differences over time and the role of comorbidity in the vitality 90 + study.

BACKGROUND: The burden of dementia, multimorbidity, and disability is high in the oldest old. However, the contribution of dementia and comorbidities to functional ability in this age group remains unclear. We examined the combined effects of dementia and comorbidities on ADL and mobility disability and differences between dementia-related disability between 2001, 2010, and 2018. METHODS: Our data came from three repeated cross-sectional surveys in the population aged 90 + in the Finnish Vitality 90 + Study. The associations of dementia with disability and the combined effects of dementia and comorbidity on disability adjusted for age, gender, occupational class, number of chronic conditions, and study year were determined by generalized estimating equations. An interaction term was calculated to assess differences in the effects of dementia on disability over time. RESULTS: In people with dementia, the odds of ADL disability were almost five-fold compared to people with three other diseases but no dementia. Among those with dementia, comorbidities did not increase ADL disability but did increase mobility disability. Differences in disability between people with and without dementia were greater in 2010 and 2018 than in 2001. CONCLUSION: We found a widening gap in disability between people with and without dementia over time as functional ability improved mainly in people without dementia. Dementia was the main driver of disability and among those with dementia, comorbidities were associated with mobility disability but not with ADL disability. These results imply the need for strategies to maintain functioning and for clinical updates, rehabilitative services, care planning, and capacity building among care providers.

Who live longer than their age peers: individual predictors of longevity among older individuals.

BACKGROUND: There are a very few studies focusing on the individual-based survival with a long follow-up time. AIM: To identify predictors and determine their joint predictive value for longevity using individual-based outcome measures. METHODS: Data were drawn from Tampere Longitudinal Study on Aging (TamELSA), a study of individuals' age 60-89 years (N = 1450) with a mortality follow-up of up to 35 years. Two measures of longevity were used: the longevity difference (LD) and realized probability of dying (RPD), both of which compare each individual's longevity with their life expectancy as derived from population life tables. Independent variables were categorized into five domains: sociodemographic, health and functioning, subjective experiences, social activities, and living conditions. Linear regression models were used in three steps: bivariate analysis for each variable, multivariate analysis based on backward elimination for each domain, and one final model. RESULTS: The most important predictors of both outcomes were marital status, years smoked regularly, mobility, self-rated health, endocrine and metabolic diseases, respiratory diseases, and unwillingness to do things or lack of energy. The explained variance in longevity was 13.8% for LD and 14.1% for RPD. This demonstrated a large proportion of unexplained error margins for the prediction of individual longevity, even though many known predictors were used. DISCUSSION AND CONCLUSIONS: Several predictors associated with longer life were found. Yet, on an individual level, it remains difficult to predict who will live longer than their age peers. The stochastic element in the process of aging and in death may affect this prediction.

Comorbidities in dementia during the last years of life: a register study of patterns and time differences in Finland.

BACKGROUND: Comorbidities have major implications for the care of people with dementia. AIM: To investigate the patterns of comorbidities in dementia in the last five years of life and how these patterns differed between three cohorts. METHODS: The study included people who died at age 70 and above in 2001 (n = 13,717), 2007 (n = 34,750) and 2013 (n = 38,087) in Finland. ICD-10 morbidity data for a five-year period prior to death were extracted from national registers. Principal component analysis was employed to identify patterns for several morbidities. The associations of principal component scores with dementia were analysed using binary logistic regression. Linear regression was used to examine changes in the number of morbidities in patterns over time. RESULTS: The morbidity patterns identified in the last years of life were (1) cardiometabolic disorders, (2) neurological, (3) cerebrovascular diseases and (4) musculoskeletal, thyroid and psychiatric disorders. Among the patterns, neurological and musculoskeletal, thyroid and psychiatric disorders were associated with dementia. The number of diagnoses in the cerebrovascular pattern increased and those in the musculoskeletal, thyroid and psychiatric pattern decreased over time. DISCUSSION: Comorbidity patterns identified in this nationwide register study are largely in line with previous evidence. Time difference in these patterns provide crucial information for service planning. CONCLUSIONS: Comorbidities in dementia in the last years of life occur in patterns and change over time. More systematic monitoring and updated clinical guidelines are needed for the care of comorbidities with dementia.

Effect of aging on the transcriptomic changes associated with the expression of the HERV-K (HML-2) provirus at 1q22.

BACKGROUND: The human genome contains remnants of ancient retroviral infections called human endogenous retroviruses (HERV). Their expression is often observed in several diseases of autoimmune or inflammatory nature. However, the exact biological mechanisms induced by HERVs are still poorly understood. We have previously shown that several HERVs of the HERV-K (HML-2) family are strongly transcribed in the peripheral blood mononuclear cells (PBMC) derived from young and old individuals. To examine the potential functional consequences of HERV-K (HML-2) expression, we have now analyzed the correlation of its expression with age-associated changes in the transcriptome using gene set enrichment analysis (GSEA). We focused our analysis on the HERV-K (HML-2) provirus at 1q22, also known as ERVK-7. RESULTS: The genes strongly correlating with the expression of HERV-K (HML-2) provirus at 1q22 expression were found to be almost entirely different in young and old individuals. The number of genes strongly correlating (Pearson correlation coefficient ≥ 0.7) with 1q22 expression was 946 genes in the old and 435 in the young, of which only 41 genes correlated strongly in both. Consequently, the related gene ontology (GO) biological processes were different. In the older individuals, many of the highest correlating processes relate to the function of neutrophils. CONCLUSIONS: The results of this work suggest that the biological processes associated with the expression of HERV-K (HML-2) provirus at 1q22 are different in the blood of young and old individuals. Specifically, a strong association was found in the older individuals between neutrophil activity and the expression of the HERV-K (HML-2) provirus at 1q22. These findings offer insight into potential effects of altered HERV expression in older individuals.

Chronic conditions and multimorbidity in population aged 90 years and over: associations with mortality and long-term care admission.

BACKGROUND: prevalence of many chronic conditions is rising in the aging population worldwide. However, the long-term impact of these conditions and multimorbidity on other health outcomes in very old age is rarely studied. METHODS: the data were based on four waves of the Vitality 90+ Study conducted in 2001, 2003, 2007 and 2010. Associations of chronic conditions and multimorbidity with mortality were analysed in a total sample of 2,862 people aged over 90, and associations with long-term care (LTC) admission in a subsample of 1,954 participants living at home in baseline. Risk of death and LTC admission were assessed with Cox and competing risks regression with time-dependent covariates. Population attributable fractions (PAF) for mortality and LTC admission were calculated for chronic conditions based on the regression models. RESULTS: heart disease, diabetes and dementia predicted mortality in men and women. In addition, depression was associated with increased mortality in women. Parkinson's disease, dementia and hip fracture predicted LTC admission in women. Multimorbidity increased the risk of death and LTC admission in women but not in men. For both genders, dementia had the highest PAF for mortality and LTC admission. CONCLUSION: heart disease and diabetes are still important predictors of mortality in very old age. However, the role of dementia is pronounced in this age group. Of the studied conditions, dementia is the main contributor both to mortality and LTC admission. Multimorbidity has predictive value concerning both mortality and LTC admission, at least in oldest old women.

CD27- IgD- B cell memory subset associates with inflammation and frailty in elderly individuals but only in males.

BACKGROUND: Immunosenescence, i.e. the aging-associated decline of the capacity of the immune system, is characterized by several distinct changes in the number and functions of the immune cells. In the case of B cells, the total number of CD19+ B cells is lower in the blood of elderly individuals than in the younger ones. CD19+ B cell population contains several subsets, which are commonly characterized by the presence of CD27 and IgD molecules, i.e. naïve B cells (CD27- IgD+), IgM memory (CD27+ IgD+), switched memory (CD27+ IgD-) and late memory (CD27- IgD-). This late memory, double negative, population represents cells which are nondividing, but are still able to produce inflammatory mediators and in this way maybe contributing to the aging-associated inflammation, inflammaging. Here we have focused on the role of these B cell subsets in elderly individuals, nonagenarians, in the regulation of inflammation and inflammation-associated decline of bodily functions. As the biological aging process demonstrates gender-specific characteristics, the analyses were performed separately in males and female. RESULTS: A subcohort of The Vitality 90+ study (67 nonagenarians, 22/45 males/females and 40 young controls, 13/27 males/females) was used. Flow cytometric analysis indicated that the total percentage of the CD19+ cells was ca. 50% lower in the nonagenarians than in the controls in both genders. The proportions of these four B cell subsets within the CD19+ populations were very similar in young and old individuals. Thus, it seems that the aging-associated decline of the total CD19+ cells affects similarly all these B cell subsets. To analyze the role of these subsets in the regulation of inflammation, the correlation with IL-6 levels was calculated. A significant correlation was observed only with the percentage of CD27- IgD- cells and only in males. As inflammation is associated with aging-associated functional performance and frailty, the correlations with the Barthel index and frailty score was analyzed. Again, only the CD27- IgD- population demonstrated a strong male-specific correlation. CONCLUSIONS: These data show that the CD27- IgD- B cell subset demonstrates a strong pro-inflammatory effect in nonagenarians, which significantly associates with the decline of the bodily functions. However, this phenomenon is only observed in males.

Ageing populations in the Nordic countries: Mortality and longevity from 1990 to 2014.

Aims: Cross-country comparisons of mortality and longevity patterns of Nordic populations could contribute with novel insights into the compositional changes of these populations. We investigated three metrics of population ageing: the proportion of the population aged 75+ and 90+ years, the proportion of birth cohorts reaching 75 and 90 years, and life expectancy (LE) at age 75 and 90 years in Sweden, Norway, Iceland, Denmark and Finland, in the period 1990-2014. Methods: Demographic information was collected from national statistical databases and the Human Mortality Database. Results: All metrics on population ageing increased during the study period, but there were some cross-country variations. Finland experienced a notably steep increase in the proportion of 75+ and 90+ year olds compared to the other countries. Regarding the proportion reaching old ages, the Finnish lagged behind from the beginning, but females decreased this difference. The Danes were more similar to the other countries at the beginning, but did not experience the same increase over time. Gender-specific LE at age 75 and 90 years was similar overall in the five countries. Conclusions: Developments in cross-country variation suggest that survival until old age has become more similar for Finnish females and more different for Danish males and females compared with the other countries in recent decades. This provides perspectives on the potential to improve longevity in Denmark and Finland. Similarities in LE in old age suggest that expected mortality in old age has been more similar throughout the study period.

Predictors of long-term care among nonagenarians: the Vitality 90 + Study with linked data of the care registers.

BACKGROUND: The need for long-term care services increases with age. However, little is known about the predictors of long-term care (LTC) entry among the oldest old. AIMS: Aim of this study was to assess predictors of LTC entry in a sample of men and women aged 90 years and older. METHODS: This study was based on the Vitality 90 + Study, a population-based study of nonagenarians in the city of Tampere, Finland. Baseline information about health, functioning and living conditions were collected by mailed questionnaires. Information about LTC was drawn from care registers during the follow-up period extending up to 11 years. Cox regression models were used for the analyses, taking into account the competing risk of mortality. RESULTS: During the mean follow-up period of 2.3 years, 844 (43%) subjects entered first time into LTC. Female gender (HR 1.39, 95% CI 1.14-1.69), having at least two chronic conditions (HR 1.24, 95% CI 1.07-1.44), living alone (HR 1.37, 95% CI 1.15-1.63) and help received sometimes (HR 1.23, 95% CI 1.02-1.49) or daily (HR 1.68, 95% CI 1.38-2.04) were independent predictors of LTC entry. CONCLUSION: Risk of entering into LTC was increased among women, subjects with at least two chronic conditions, those living alone and with higher level of received help. Since number of nonagenarians will increase and the need of care thereby, it is essential to understand predictors of LTC entry to offer appropriate care for the oldest old in future.

Long-term care is increasingly concentrated in the last years of life: a change from 2000 to 2011.

Background: The use of long-term care (LTC) is common in very old age and in the last years of life. It is not known how the use pattern is changing as death is being postponed to increasingly old age. The aim is to analyze the association between the use of LTC and approaching death among old people and the change in this association from 2000 to 2011. Methods: The data were derived from national registers. The study population consists of 315 458 case-control pairs. Cases (decedents) were those who died between 2000 and 2011 at the age of 70 years or over in Finland. The matched controls (survivors) lived at least 2 years longer. Use of LTC was studied for the last 730 days for decedents and for the same calendar days for survivors. Conditional logistic regression analyses were performed to test the association of LTC use with decedent status and year. Results: The difference in LTC use between decedents and survivors was smallest among the oldest (OR 9.91 among youngest, 4.96 among oldest). The difference widened from 2000 to 2011 (OR of interaction of LTC use and year increased): use increased or held steady among decedents, but decreased among survivors. Conclusions: The use of LTC became increasingly concentrated in the last years of life during the study period. The use of LTC is also common among the oldest survivors. As more people live to very old age, the demand for LTC will increase.

Trends in the use and costs of round-the-clock long-term care in the last two years of life among old people between 2002 and 2013 in Finland.

BACKGROUND: The structure of long-term care (LTC) for old people has changed: care has been shifted from institutions to the community, and death is being postponed to increasingly old age. The aim of the study was to analyze how the use and costs of LTC in the last two years of life among old people changed between 2002 and 2013. METHODS: Data were derived from national registers. The study population contains all those who died at the age of 70 years or older in 2002-2013 in Finland (N = 427,078). The costs were calculated using national unit cost information. Binary logistic regression and Cox proportional hazard models were used to study the association of year of death with use and costs of LTC. RESULTS: The proportion of those who used LTC and the sum of days in LTC in the last two years of life increased between 2002 and 2013. The mean number of days in institutional LTC decreased, while that for sheltered housing increased. The costs of LTC per user decreased. CONCLUSIONS: Use of LTC in the last two years of life increased, which was explained by the postponement of death to increasingly old age. Costs of LTC decreased as sheltered housing replaced institutional LTC. However, an accurate comparison of costs of different types of LTC is difficult, and the societal costs of sheltered housing are not well known.

Trajectories of self-rated health in the last 15 years of life by cause of death.

Poor self-rated health is associated with increased risk of mortality, but no previous study has examined how long-term trajectories of self-rated health differ among people at risk of subsequent death compared to those who survive. Data were drawn from French occupational cohort (the GAZEL study, 1989-2010). This nested case-control study included 915 deceased men and women and 2578 controls matched for sex, baseline age, occupational grade and marital status. Self-rated health was measured annually and dichotomized into good versus poor health. Trajectories of poor self-rated health up to 15 years were compared among people who subsequently died to those who survived. Participants contributed to an average 10.3 repeated assessments of self-rated health. Repeated-measures log-binomial regression analysis with generalized estimating equations showed an increased prevalence of poor self-rated health in cases 13-15 years prior to death from ischemic and other cardiovascular disease [multivariable-adjusted risk ratio 2.06, 95 % confidence interval (CI) 1.55-2.75], non-smoking-related cancers (1.57, 95 % CI 1.30-1.89), and suicide (1.78, 95 % CI 1.00-3.16). Prior to death from ischemic and other cardiovascular disease, increased rates of poor self-rated health were evident even among persons who were free of cardiovascular diseases (2.05, 95 % CI 1.50-2.78). In conclusion, perceptions of health diverged between the surviving controls and the deceased already 15 years prior to death. For cardiovascular mortality, decline in self-rated health started before diagnosis of the disease leading to death. The findings suggest that declining self-rated health might capture pathological changes before and beyond the disease diagnosis.

Ageing-associated changes in the human DNA methylome: genomic locations and effects on gene expression.

BACKGROUND: Changes in DNA methylation are among the mechanisms contributing to the ageing process. We sought to identify ageing-associated DNA methylation changes at single-CpG-site resolution in blood leukocytes and to ensure that the observed changes were not due to differences in the proportions of leukocytes. The association between DNA methylation changes and gene expression levels was also investigated in the same individuals. RESULTS: We identified 8540 high-confidence ageing-associated CpG sites, 46% of which were hypermethylated in nonagenarians. The hypermethylation-associated genes belonged to a common category: they were predicted to be regulated by a common group of transcription factors and were enriched in a related set of GO terms and canonical pathways. Conversely, for the hypomethylation-associated genes only a limited set of GO terms and canonical pathways were identified. Among the 8540 CpG sites associated with ageing, methylation level of 377 sites was also associated with gene expression levels. These genes were enriched in GO terms and canonical pathways associated with immune system functions, particularly phagocytosis. CONCLUSIONS: We find that certain ageing-associated immune-system impairments may be mediated via changes in DNA methylation. The results also imply that ageing-associated hypo- and hypermethylation are distinct processes: hypermethylation could be caused by programmed changes, whereas hypomethylation could be the result of environmental and stochastic processes.

Personal goals and changes in life-space mobility among older people.

OBJECTIVE: Life-space mobility - the spatial extent of mobility in daily life - is associated with quality of life and physical functioning but may also be influenced by future orientation expressed in personal goals. The aim of this study was to explore how different personal goals predict changes in older people's life-space mobility. METHODS: This prospective cohort study with a 2-year follow-up included 824 community-dwelling people aged 75 to 90 years from the municipalities of Jyväskylä and Muurame in Central Finland. As part of the Life-Space Mobility in Old Age study (LISPE), which was conducted between 2012 and 2014, the participants responded to the Life-Space Assessment and Personal Project Analysis in addition to questions on socio-demographics and health. Data were analyzed using generalized estimation equation models. RESULTS: The results showed that goals indicating a desire to be active in daily life, to stay mentally alert, and to exercise were associated with higher life-space mobility, and that the associations remained over the follow-up years. Goals related to maintaining functioning predicted higher life-space mobility at the 2-year follow-up. In contrast, goals reflecting improvement of poor physical functioning predicted lower life-space mobility. The results remained significant even when adjusted for indicators of health and functioning. CONCLUSIONS: This study indicates that supporting older people in striving for relevant personal goals in their lives might contribute to a larger life-space and thus also to improved quality of life in old age.

Is socioeconomic status a predictor of mortality in nonagenarians? The vitality 90+ study.

BACKGROUND: socioeconomic inequalities in mortality are well-known in middle-aged and younger old adults, but the situation of the oldest old is less clear. The aim of this study was to investigate socioeconomic inequalities for all-cause, cardiovascular and dementia mortality among the people aged 90 or older. METHODS: the data source was a mailed survey in the Vitality 90+ study (n = 1,276) in 2010. The whole cohort of people 90 years or over irrespective of health status or dwelling place in a geographical area was invited to participate. The participation rate was 79%. Socioeconomic status was measured by occupation and education, and health status by functioning and comorbidity. All-cause and cause-specific mortality was followed for 3 years. The Cox regression, with hazard ratios (HR) and 95% confidence intervals (CI), was applied. RESULTS: the all-cause and dementia mortality differed by occupational class. Upper non-manuals had lower all-cause mortality than lower non-manuals (HR: 1.61; 95% CI: 1.11-2.32), skilled manual workers (HR: 1.56 95% CI: 1.09-2.25), unskilled manual workers (HR: 1.88; 95% CI: 1.20-2.94), housewives (HR: 1.77 95% CI: 1.15-2.71) and those with unknown occupation (HR: 2.33; 95% CI: 1.41-3.85). Inequalities in all-cause mortality were largely explained by the differences in functioning. The situation was similar according to education, but inequalities were not statistically significant. Socioeconomic differences in cardiovascular mortality were not significant. CONCLUSIONS: socioeconomic inequalities persist in mortality for 90+-year-olds, but their magnitude varies depending on the cause of death and the indicator of socioeconomic status. Mainly, mortality differences are explained by differences in functional status.

Longitudinal changes in mobility among nonagenarians: the Vitality 90+ Study.

BACKGROUND: Several studies have focused on predictors of mobility limitations and disabilities. Yet little is known about the pace and patterns of mobility changes among very old people. This study examined changes in functional mobility among individuals aged 90 years and older during a 2-9-year follow-up. In addition, we were interested in the patterns of mobility changes. METHODS: Data were collected through a mailed questionnaire in the years 2001, 2003, 2007 and 2010. The study population (n = 948) consisted of individuals from three cohorts (2001, 2003, 2007) who participated in at least two survey rounds and answered the mobility questions. The length of the follow-up varied from 2-9 years between individuals as well as according to how many times an individual took part in the survey. Multilevel ordinal logistic regression analysis was used to evaluate the effects of time, age, gender, cohort and chronic conditions on changes in mobility. RESULTS: At the baseline, "younger" old people, men and individuals in the cohorts for 2003 and 2007 had significantly better mobility compared with women, older individuals and individuals in the 2001 cohort. In addition, individuals with fewer chronic conditions had better mobility than those with more diseases. Mobility declined for most of the participants during the follow-up. The difference in the change in mobility over time for gender, age or chronic conditions was not statistically significant. The analyses were performed with a subgroup of participants aged 90-91 years at the baseline, and results did not differ substantially from the results for the entire study sample. However, the effect of chronic conditions on the change in mobility was statistically significant among participants aged 90-91years. CONCLUSIONS: No differences were observed in the rate of mobility decline over time between age or gender. The effect of chronic conditions on the change in mobility was significant only among individuals aged 90-91 years. The prevention efforts are important and should focus even more, also among the oldest-old, on additional modifiable risk factors such as maintaining muscle strength.

Molecular mechanisms associated with the strength of the anti-CMV response in nonagenarians.

BACKGROUND: Infection with human cytomegalovirus (CMV) affects the function and composition of the immune system during ageing. In addition to the presence of the pathogen, the strength of the immune response, as measured by the anti-CMV IgG titre, has a significant effect on age-related pathogenesis. High anti-CMV IgG titres have been associated with increased mortality and functional impairment in the elderly. In this study, we were interested in identifying the molecular mechanisms that are associated with the strength of the anti-CMV response by examining the gene expression profiles that are associated with the level of the anti-CMV IgG titre. RESULTS: The level of the anti-CMV IgG titre is associated with the expression level of 663 transcripts in nonagenarians. These transcripts and their corresponding pathways are, for the most part, associated with metabolic functions, cell development and proliferation and other basic cellular functions. However, no prominent associations with the immune system were found, and no associated transcripts were found in young controls. CONCLUSIONS: The lack of defence pathways associated with the strength of the anti-CMV response can indicate that the compromised immune system can no longer defend itself against the CMV infection. Our data imply that the association between high anti-CMV IgG titres and increased mortality and frailty is mediated by basic cellular processes.

Older women's personal goals and exercise activity: an 8-year follow-up.

This study investigated the associations of personal goals with exercise activity, as well as the relationships between exercise-related and other personal goals, among older women. Both cross-sectional and longitudinal designs were used with a sample of 308 women ages 66-79 at baseline. Women who reported exercise-related personal goals were 4 times as likely to report high exercise activity at baseline than those who did not report exercise-related goals. Longitudinal results were parallel. Goals related to cultural activities, as well as to busying oneself around the home, coincided with exercise-related goals, whereas goals related to own and other people's health and independent living lowered the odds of having exercise-related goals. Helping older adults to set realistic exercise-related goals that are compatible with their other life goals may yield an increase in their exercise activity, but this should be evaluated in a controlled trial.

Predictors of mortality in men and women aged 90 and older: a nine-year follow-up study in the Vitality 90+ study.

BACKGROUND: information about the predictors of mortality among the oldest-old is limited. Also possible gender differences are poorly known. OBJECTIVE: to examine the predictors of mortality among individuals aged 90 and older, focusing on differences between men and women. We also analysed gender differences in survival at different levels of mobility and activities in daily living (ADL). DESIGN: this 9-year follow-up study is part of the Vitality 90+ study, a population-based study of people aged 90 and older. SUBJECTS: all inhabitants aged 90 and older in the area of Tampere, Finland were contacted, irrespective of health or dwelling place. The study population consisted of 171 men and 717 women. METHODS: data were collected with a mailed questionnaire asking questions concerning ADL and mobility, self-rated health, chronic conditions and socio-economic factors. The participation rate was 79%. Cox regression enter models were used for the analysis. RESULTS: older age, male gender, disability in ADL and mobility, poor self-rated health and institutionalisation increased the risk of mortality in the total study group. In age-adjusted Cox regression models, ADL and mobility were stronger predictors in men than in women (gender interactions, P < 0.001). Among those who were partly but not totally dependent in ADL or mobility women survived longer than men. CONCLUSION: the same health indicators that are important at younger old age also predict mortality in the oldest-old. Disability increases the likelihood of death more in men than women. At a very old age, women survive longer with moderate disability than do men.

Effects of municipality factors on care transitions.

AIMS: To analyse whether transitions between care settings differ between municipalities in the last 2 years of life among older people in Finland. METHODS: Data were derived from Finnish national registers, and include all those who died in 2002 and 2003 at the age of 70 or older except those living in very small municipalities (n=67,027). Data include admissions and discharges from health and social care facilities (university hospitals, general hospitals, health centres, residential care facilities) and time spent outside care facilities for 730 days prior to death. Three-level negative binomial regression analyses were performed to study the effect of municipal factors on (1) the total number of all care transitions, (2) the number of transitions between home and different care facilities, and (3) transitions between different care facilities. RESULTS: The municipality of residence had only a minor effect on the total number of care transitions, but greater variation between municipalities was found when different types of care transition were examined separately. Largest differences were found in care transitions involving specialised care. Age structure, urbanity, and economic situation of the municipality had an impact on several different care transitions. CONCLUSION: The total number of care transitions in 2 final years of life was approximately similar irrespective of the municipality of residence, but the findings imply differences in transitioning specialised care. Potentially, this may suggest inequality between the municipalities, but more detailed studies are needed to confirm the factors underlying these differences.

Agreement Between Self-Reported Information and Health Register Data on Chronic Diseases in the Oldest Old.

Purpose: To study the agreement on disease prevalence between survey data and national health register data among people aged over 90. Patients and Methods: The survey data were from the Vitality 90+ Study conducted among 1637 community dwellers and persons in long-term care aged 90 and over in Tampere, Finland. The survey was linked with two national health registers, including hospital discharge data and prescription information. The prevalence of 10 age-related chronic diseases was calculated for each data source and the agreement between the survey and the registers was estimated using Cohen's kappa statistics and positive and negative percent agreement. Results: The prevalence of most diseases was higher in the survey than in the registers. The level of agreement was highest when the survey was compared with information combined from both registers. Agreement was almost perfect for Parkinson's disease (ĸ=0.81) and substantial for diabetes (ĸ=0.75) and dementia (ĸ=0.66). For heart disease, hypertension, stroke, cancer, osteoarthritis, depression, and hip fracture, the agreement ranged from fair to moderate. Conclusion: Self-reported information on chronic diseases shows acceptable agreement with health register data to warrant the use of survey methods in population-based health studies among the oldest old. It is important to acknowledge the gaps in health registers when validating self-reported information against register data.