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Background: There are socioeconomic inequalities in dementia risk. Underlying pathways are not well known. Objective: To investigate whether modifiable health and lifestyle factors for brain health mediate the association of socioeconomic status (SES) and cognitive functioning in a population without dementia. Methods: The “LIfestyle for BRAin health” (LIBRA) score was computed for 6,203 baseline participants of the LIFE-Adult-Study. LIBRA predicts dementia in midlife and early late life, based on 12 modifiable factors. Associations of SES (education, net equivalence income, and occupational status) and LIBRA with cognitive functioning (composite score) were investigated using adjusted linear regression models. Bootstrapped structural equation modelling (SEM) was used to investigate whether LIBRA mediated the association of SES and cognitive functioning. Results: Participants were M = 57.4 (SD = 10.6, range: 40-79) years old; 50.3% were female. Both, SES (Wald: F(2)=52.5, p

Subjective cognitive decline (SCD) and depressive symptoms (DS) frequently co-occur prior to dementia. However, the temporal sequence of their emergence and their combined prognostic value for cognitive decline and dementia is unclear.Temporal relationships of SCD, DS and memory decline were examined by latent difference score modeling in a high-aged, population-based cohort (N = 3217) and validated using Cox-regression of dementia-conversion. In 334 cognitively unimpaired SCD-patients from memory-clinics, we examined the association of DS with cognitive decline and with cerebrospinal fluid (CSF) Alzheimer's disease (AD) biomarkers.In the population-based cohort, SCD preceded DS. High DS were associated with increased risk of dementia conversion in individuals with SCD. In SCD-patients from memory-clinics, high DS were associated with greater cognitive decline. CSF Aß42 predicted increasing DS.SCD typically precedes DS in the evolution to dementia. SCD-patients from memory-clinics with DS may constitute a high-risk group for cognitive decline.Subjective cognitive decline (SCD) precedes depressive symptoms (DS) as memory declines. Emerging or persistent DS after SCD reports predict dementia. In SCD patients, more amyloid pathology relates to increasing DS. SCD patients with DS are at high risk for symptomatic progression.

The aim of the study is to investigate psychosocial factors that are associated with positive and negative coping with stress, as well as with worries about and perceived threat by COVID-19 to enable us to provide adequate support for oldest-old individuals. A paper–pencil-based survey assessed COVID-19 worries and perceived threat, depression, anxiety, somatization, social support, loneliness, resilience, positive and negative coping in a sample of n = 197 oldest-old individuals (78–100 years). Linear multivariate and binary logistic regression analyses were conducted. Individuals with high levels of resilience were more likely to feel self-efficient when coping with stress. High levels of depression, anxiety and loneliness were associated with feeling more helpless when coping with stress. However, oldest-old individuals who felt lonely also experienced situations where they felt competent in stress coping. Being male and experiencing high levels of social support was more likely associated with high levels of worries due to COVID-19. Increased age and higher levels of depression were associated with lower levels of perceived personal threat, whereas higher somatization scores were more likely associated with higher perceived personal threat. Findings suggest that mental health factors may shape the way oldest-old individuals cope with pandemic-related stress. Resilience might be an important factor to take into account when targeting an improvement in positive coping with stress. Oldest-old individuals who have higher levels of depression, anxiety and feel lonely may be supported by adapting their coping skill repertoire to reduce the feeling of helplessness when coping with stress.

Background: Education and occupational complexity are main sources of mental engagement during early life and adulthood respectively, but research findings are not conclusive regarding protective effects of these factors against late-life dementia. Objective: This project aimed to examine the unique contributions of education and occupational complexity to incident dementia, and to assess the mediating effects of occupational complexity on the association between education and dementia across diverse cohorts. Method: We used data from 10,195 participants (median baseline age = 74.1, range = 58∼103), representing 9 international datasets from 6 countries over 4 continents. Using a coordinated analysis approach, the accelerated failure time model was applied to each dataset, followed by meta-analysis. In addition, causal mediation analyses were performed. Result: The meta-analytic results indicated that both education and occupational complexity were independently associated with increased dementia-free survival time, with 28%of the effect of education mediated by occupational complexity. There was evidence of threshold effects for education, with increased dementia-free survival time associated with ‘high school completion’ or ‘above high school’ compared to ‘middle school completion or below’. Conclusion: Using datasets from a wide range of geographical regions, we found that both early life education and adulthood occupational complexity were independently predictive of dementia. Education and occupational experiences occur during early life and adulthood respectively, and dementia prevention efforts could thus be made at different stages of the life course.

Objectives Growing evidence suggests a protective effect of high mental demands at work on cognitive function in later life. However, evidence on corresponding associations in older adults at increased risk for dementia is currently lacking. This study investigates the association between mental demands at work and cognitive functioning in the population of the AgeWell.de-trial. Methods Cross-sectional investigation of the association between global cognitive functioning (Montreal Cognitive Assessment) and mental demands at work in older individuals at increased risk for dementia (Cardiovascular Risk Factors, Aging, and Incidence of Dementia (CAIDE)score ≥ 9; n = 941, age: 60–77 years). Occupational information was matched to Occupational Information Network (O*NET)-descriptors. Associations between cognitive function and O*NET-indices executive, verbal and novelty were investigated using generalized linear models. Results Higher values of index verbal (b = .69, p = .002) were associated with better cognitive function when adjusting for covariates. No association was observed for indices executive (b = .37, p = .062) and novelty (b = .45, p = .119). Higher education, younger age, and employment were linked to better cognitive function, while preexisting medical conditions did not change the associations. Higher levels of depressive symptomatology were associated with worse cognitive function. Conclusions Higher levels of verbal demands at work were associated with better cognitive function for older adults with increased dementia risk. This suggests an advantage for older persons in jobs with high mental demands even after retirement and despite prevalent risk factors. Longitudinal studies are warranted to confirm these results and evaluate the potential of workplaces to prevent cognitive decline through increased mental demands.

Objective: Longitudinal studies investigating the link between social support and functional decline are limited among the oldest old. Thus, the aim of this study was to examine whether changes in social support are associated with functional decline among the oldest old longitudinally using panel regression models. Methods: Longitudinal data from 3 waves (waves 7, 8, and 9) of a multicenter prospective cohort study covering primary care patients aged ≥85 years were used. In the analytical sample, n equaled 624 individuals. The validated Lawton and Brody Instrumental Activities of Daily Living (IADL) scale and the well-established Barthel Index (ADL) were used to quantify functional status. The psychometrically sound Lubben Social Network Scale was used to measure social support. Several potential confounders such as age, marital status, cognitive decline, or depressive symptoms were included in the fixed effects (FE) regression models. Results: Linear FE regressions showed that a decrease in social support is associated with functional decline (IADL: β = 0.03, p < 0.05; ADL: β = 0.27, p < 0.05) in men but not in women. With IADL as outcome measure, the interaction term (sex × social support) achieved statistical significance (p < 0.01). With regard to covariates, functional decline (IADL and ADL) was consistently associated with increasing age, an increase in the number of chronic conditions (except for women [ADL]), and cognitive decline (except for men [ADL]). Furthermore, functional decline (ADL) was associated with an increase in depressive symptoms. Discussion: Our findings highlight the meaning of social support for functional status among the oldest old. Finding ways to sustain social support in highest age may be a promising approach in order to postpone functional decline.

Background: Social functioning is an important parameter for the early detection and diagnosis of dementia, as well as the description of its course and the assessment of intervention effects. Therefore, valid and reliable instruments to measure social functioning in individuals with dementia are needed. Objective: We aimed to provide an overview of such instruments including information on feasibility and psychometric properties. Methods: The review is informed by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Relevant literature was identified using a pre-specified search string in the databases MEDLINE, PsycINFO, and Web of Science. Information on the characteristics, feasibility, and psychometric properties of the identified instruments were extracted, summarized, and discussed. Results: Out of 5,307 articles, 8 were selected to be included in the study, describing a total of three instruments for measuring social functioning in individuals with dementia: the Nurses’ Observation Scale for Geriatric Patients (NOSGER; dimension “social behavior”), the Socioemotional Dysfunction Scale (SDS), and the Social Functioning in Dementia Scale (SF-DEM). The validity of all the three instruments was overall acceptable. Reliability was high for the NOSGER scale “social behavior” and the SF-DEM. Information on the usability of the instruments tended to be scarce. Conclusion: There are a few valid and reliable instruments to assess social functioning in individuals with dementia. Further considerations could comprise their feasibility with regard to measuring changes in social functioning over time, in additional target groups, e.g., different types and stages of dementia, and adaptions to different languages and cultural backgrounds.

The heterogeneity in the operationalisation of successful ageing (SA) hinders a straightforward examination of SA associations and correlates, and in turn, the identification of potentially modifiable predictors of SA. It is unclear which SA associations and correlates influence all facets of the SA construct, and whether psychosocial reserve models developed in neuropathological ageing research can also be linked to SA. It was therefore the aim of this study to disentangle the effect of various previously identified SA associations and correlates on (1) a general SA factor, which represents the shared underpinnings of three SA facets, and (2) more confined, specific factors, using bifactor modelling. The associations and correlates of three recently validated SA operationalisations were compared in 2478 participants from the German AgeCoDe study, aged 75 years and above. Based on participants’ main occupation, cognitive reserve (CR) and motivational reserve (MR) models were built. Younger age, male gender, more education, higher socio-economic status, being married or widowed, as well as more physical exercise and cognitive activities in old age were found to correlate positively with the general SA factor, indicating a simultaneous effect on all aspects of SA. Smoking and ApoE-ε4 were related only to the physiological facet of SA. CR models were significantly related to the general SA factor. Among all SA associations and correlates, proxy indicators of lifelong cognitive activity and physical exercise showed the strongest effects on SA. Future intervention studies should assess the influence of the preservation of active lifestyle across the life span on SA. Electronic supplementary material The online version of this article (10.1007/s10433-020-00593-4) contains supplementary material, which is available to authorised users.

Background: Dementia is one of the most common and most severe disorder in old age. In addition to cognitive decline and functional impairment, changes in social functioning occur in the course of dementia. Currently, there is no valid instrument in German language to assess social functioning in individuals with dementia. Objective: We aim to adapt and psychometrically evaluate a German version of the Social Functioning in Dementia Scale (SF-DEM). Methods: First, a multi-step and team-based translation process based on the TRAPD model was performed. Second, we interviewed dyads of individuals with mild dementia and caregivers to test the internal consistency, test-retest reliability, interrater reliability, construct validity, and acceptance of the German version of the SF-DEM. Results: The internal consistency of the patient-rated (α= 0.72) and the caregiver-rated (α= 0.76) SF-DEM is at an acceptable level. The interrater reliability was excellent for both versions (patients: ICC = 0.98, CI [0.95–0.99]; caregiver: ICC = 0.95, CI [0.89–0.98]) and the test-retest reliability was moderate (patients: ICC = 0.57, CI [0.26–0.77]; caregiver: ICC = 0.58, CI [0.27–0.78]). Caregiver-rated SF-DEM correlated strong with LSNS-6 (rs = 0.60, p

Contains fulltext : 287762.pdf (Publisher’s version ) (Open Access) BACKGROUND: Poor social connections (eg, small networks, infrequent interactions, and loneliness) are modifiable risk factors for cognitive decline. Existing meta-analyses are limited by reporting aggregate responses, a focus on global cognition, and combining social measures into single constructs. We aimed to investigate the association between social connection markers and the rate of annual change in cognition (ie, global and domain-specific), as well as sex differences, using an individual participant data meta-analysis. METHODS: We harmonised data from 13 longitudinal cohort studies of ageing in North America, South America, Europe, Africa, Asia, and Australia. Studies were eligible for inclusion if they had baseline data for social connection markers and at least two waves of cognitive scores. Follow-up periods ranged from 0 years to 15 years across cohorts. We included participants with cognitive data for at least two waves and social connection data for at least one wave. We then identified and excluded people with dementia at baseline. Primary outcomes were annual rates of change in global cognition and cognitive domain scores over time until final follow-up within each cohort study analysed by use of an individual participant data meta-analysis. Linear mixed models within cohorts used baseline social connection markers as predictors of the primary outcomes. Effects were pooled in two stages using random-effects meta-analyses. We assessed the primary outcomes in the main (partially adjusted) and fully adjusted models. Partially adjusted models controlled for age, sex, and education; fully adjusted models additionally controlled for diabetes, hypertension, smoking, cardiovascular risk, and depression. FINDINGS: Of the 40 006 participants in the 13 cohort studies, we excluded 1392 people with dementia at baseline. 38 614 individual participants were included in our analyses. For the main models, being in a relationship or married predicted slower global cognitive decline (b=0·010, 95% CI 0·000-0·019) than did being single or never married; living with others predicted slower global cognitive (b=0·007, 0·002-0·012), memory (b=0·017, 0·006-0·028), and language (b=0·008, 0·000-0·015) decline than did living alone; and weekly interactions with family and friends (b=0·016, 0·006-0·026) and weekly community group engagement (b=0·030, 0·007-0·052) predicted slower memory decline than did no interactions and no engagement. Never feeling lonely predicted slower global cognitive (b=0·047, 95% CI 0·018-0·075) and executive function (b=0·047, 0·017-0·077) decline than did often feeling lonely. Degree of social support, having a confidante, and relationship satisfaction did not predict cognitive decline across global cognition or cognitive domains. Heterogeneity was low (I(2)=0·00-15·11%) for all but two of the significant findings (association between slower memory decline and living with others [I(2)=58·33%] and community group engagement, I(2)=37·54-72·19%), suggesting robust results across studies. INTERPRETATION: Good social connections (ie, living with others, weekly community group engagement, interacting weekly with family and friends, and never feeling lonely) are associated with slower cognitive decline. FUNDING: EU Joint Programme-Neurodegenerative Disease Research grant, funded by the National Health and Medical Research Council Australia, and the US National Institute on Aging of the US National Institutes of Health.

Introduction Interventions to reduce risk of cognitive decline and dementia largely focus on individual-level strategies. To maximize risk reduction, it is also necessary to consider the environment. With the majority of older people living in cities, we explored how urban environments could support risk reduction. Materials and methods In our qualitative study, we conducted semi-structured interviews with community members aged ≥65 years and stakeholders, all living in Leipzig, Germany. Interview guides were informed by the framework on modifiable risk factors for dementia of the Lancet Commission on Dementia Prevention, Intervention, and Care. Interviews were audio-recorded, verbatim-transcribed, and thematically analysed. Results Community members (n=10) were M=73.7 (SD=6.0) years old and 50% were women. Stakeholders (n=10) were aged 39-72 years, and 70% were women. Stakeholders' fields included architecture, cultural/arts education, environmental sciences, geriatrics, health policy, IT, philosophy, psychology, public health, and urban sociology. Across interviews with both older individuals and stakeholders, three main themes were identified: (i) social participation and inclusion (emphasizing social contacts, social housing, intergenerationality, neighbourhood assistance, information and orientation, digital and technological literacy, lifelong learning, co-creation/co-design), (ii) proximity and accessibility (emphasizing proximity and reachability, mobility, affordability, access to health care, access to cultural events, public toilets), (iii) local recreation and wellbeing (emphasizing safety in traffic, security, cleanliness and environmental protection, urban greenery, climate change and heat waves, outdoor physical activity). Discussion The design of urban environments holds large potential to create favourable conditions for community-dwelling individuals to practice lifestyles that promote brain health. Public policy should involve community members in co-creating such environments. This article is protected by copyright. All rights reserved.

Purpose Dealing with the high prevalence of pain among the oldest-old (+75) is becoming a major health issue. Therefore, the aim of the study was to uncover health-related lifestyle behaviors (HLB) and age-related comorbidities which may predict, influence and prevent pain in old age. Patients and methods In this longitudinal cohort study, data were obtained initially from 3.327 individuals aged 75+ from over 138 general practitioners (GP) during structured clinical interviews in 2003. Nine follow-ups (FU) were assessed until 2017. Available data from 736 individuals scoring in FU3 and FU7 were included in this analysis. Data were assembled in an ambulatory setting at participant's homes. Associations were tested using a linear regression model (model 1) and ordered logistic regression model (model 2). Results Statistical analyses revealed increased likelihood to experience pain for participants with comorbidities such as peripheral arterial disease (PAD) (coef. 13.51, P>t = 0.00) or chronic back pain (CBP) (coef. 6.64, P>t = 0.003) or higher body mass index (BMI) (coef. 0.57, P>t = 0.015) and, female gender (coef. 6.00, SE 3.0, t = 2.02, P>t = 0.044). Participants with medium education and former smokers showed significantly lower pain rating (coef. -5.05, P>t = 0.026; coef. -5.27, P>t = 0.026). Suffering from chronic back pain (OR = 2.03), osteoarthritis (OR = 1.49) or depressive symptoms (OR = 1.10) raised the odds to experience impairments in daily living due to pain. Physical activity showed no significant results. Conclusion Chronic conditions such as PAD, or CBP, female gender and higher BMI may increase the risk of experiencing more pain while successful smoking cessation can lower pain ratings at old age. Early and consistent support through GPs should be given to older patients in order to prevent pain at old age.

Objectives Previous studies have shown that higher education promotes cognitive health. This effect, however, is embedded in the living conditions of a particular country. Since it is not clear to what extent the country and its specific living standards are necessary preconditions for the observed effect, we investigated whether the impact of education and income on cognitive functioning differs between countries. Methods Analyses were based on harmonized data from the World Health Organization's multi-country Study on global AGEing and adult health (WHO SAGE), the Health and Retirement Study (HRS), and the Survey of Health, Ageing and Retirement in Europe (SHARE)) of over 85,000 individuals aged 50 years and older. Analyses were conducted via multivariate regression analyses and structural equation modelling adjusted for age, gender, marital status, health status, and depression. Results The effect of education was twice as large as the effect of income on cognitive functioning and indirectly moderated the effect of income on cognitive functioning. The effect sizes varied strongly between countries. The country's gross domestic product per capita seems to influence cognitive functioning. Conclusions Our findings indicate that education has a dominant effect on cognitive functioning in people aged 50 years and older, which might even offset the adverse implications of living with low income on cognitive health. Therefore, expanding efforts to achieve universal education are essential to mitigate health disparities due to low income and early life disadvantages, including chances for good cognitive functioning over the life-span. This article is protected by copyright. All rights reserved.

Background: Only little evidence is available on disorientation, one of the most challenging symptoms of Alzheimer’s disease and related dementias. Objectives: The aim of this study was to investigate the prevalence of disorientation in older age in association with the level of cognitive status, personal characteristics, and life events. Methods: Three longitudinal population-based cohort studies on cognitive health of elderly adults were harmonized (LEILA 75 + , AgeCoDe/AgeQualiDe, AgeMooDe). Participants who completed a baseline and at least one follow-up assessment of cognitive functioning and who did not have stroke, Parkinson’s disease, atherosclerosis, kidney disease, and/or alcoholism were included in the analysis (n = 2135, 72.6% female, mean age 80.2 years). Data was collected in standardized interviews and questionnaires with the participant, a proxy informant, and the participant’s general practitioner. Results: Making three errors in the MMSE other than in the questions on orientation (MMSEwo) came with a probability of 7.8% for disorientation, making ten errors with a probability of 88.9%. A lower MMSEwo score (HR 0.75, CI 95 0.71–0.79, p

Background It is almost unknown whether the driving status is associated with HRQOL among individuals in highest age. Aims Based on a multicenter prospective cohort study, the objective of this study was to examine whether the driving status is associated with health-related quality of life (HRQOL) among the oldest old in Germany. Methods Cross-sectional data from follow-up wave 9 (n = 544) were derived from the “Study on Needs, health service use, costs and health-related quality of life in a large sample of oldest-old primary care patients (85+)” (AgeQualiDe). Average age was 90.3 years (± 2.7; 86 to 101 years). The current driver status (no; yes) was used in our analysis. The EuroQoL EQ-5D questionnaire was used to assess HRQOL in this study. Results Regression analysis showed that being a current driver was associated with the absence of problems in ‘self-care’ [OR 0.41 (95%-CI 0.17 to 0.98)], and ‘usual activities’ [OR 0.48 (0.26 to 0.90)], whereas it was not significantly associated with problems in ‘pain/discomfort’ [OR 0.82 (0.47 to 1.45)] and ‘anxiety/depression’ [OR 0.71 (0.36 to 1.39)]. Being a current driver was marginally significantly associated with the absence of problems in ‘mobility’ [OR 0.60 (0.34 to 1.06)]. While being a current driver was not associated with the EQ-VAS in the main model, it was positively associated with the driving status (β = 5.00, p Discussion Our findings provide first evidence for an association between driving status and HRQOL among the oldest old. Conclusions Future longitudinal studies are required to evaluate a possible causal relationship between driving status and HRQOL in very old individuals.

Introduction: There is a lack of studies examining the link between perceived autonomy and frailty among the oldest old. Therefore, our objective was to fill this gap. Methods: Data were used from the multicenter prospective cohort study “Needs, health service use, costs and health-related quality of life in a large sample of oldest-old primary care patients (85+)” (AgeQualiDe; follow-up [FU] wave 9; n = 510 observations in the analytical sample). The average age was 90.3 years (SD: 2.7 years). The Canadian Study of Health and Aging (CSHA) Clinical Frailty Scale (CFS) was used to assess frailty. Socioeconomic and health-related covariates were included in our regression model. The autonomy scale developed by Schwarzer was used to assess perceived autonomy in old age. Results: Adjusting for various confounders, multiple linear regressions showed that lower perceived autonomy was associated with increased levels of frailty (total sample: β = −0.13, p < 0.001; women: β = −0.14, p < 0.001; and men: β = −0.12, p < 0.001). Furthermore, lower perceived autonomy was associated with more depressive symptoms, higher cognitive impairment, and being institutionalized (except for men) in the total sample and in both sexes, but it was not significantly associated with age, sex, marital status, educational level, and social support. Conclusion: Findings indicate that frailty is associated with lower autonomy among the oldest old. More generally, while health-related factors were consistently associated with autonomy, sociodemographic factors (except for being institutionalized) were not associated with autonomy among the oldest old. We should be aware of the strong association between autonomy and physical as well as mental health in very old age.

The article Driving status and health related quality of life among the oldest old: a population based examination using data from the AgeCoDe–AgeQualiDe prospective cohort study, written by André Hajek, Christian Brettschneider, Dagmar Lühmann, Hendrik van den Bussche, Birgitt Wiese, Silke Mamone, Siegfried Weyerer, Jochen Werle, Verena Leve, Angela Fuchs, Susanne Röhr, Janine Stein, Horst Bickel, Edelgard Mösch, Kathrin Heser, Michael Wagner, Martin Scherer, Wolfgang Maier, Steffi G. Riedel-Heller, Michael Pentzek and Hans-Helmut König was originally published electronically on the publisher’s internet portal (currently SpringerLink) on 11 rd January 2021 without open access. With the author(s)’ decision to opt for open choice, the copyright of the article changed on 1st July 2021 to © The Author(s) 2021 and the article is forthwith distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, duplication, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate whether changes were made.

Introduction: There is a lack of studies investigating the link between time-varying factors associated with changes in frailty scores in very old age longitudinally. This is important because the level of frailty is associated with subsequent morbidity and mortality. Objective: To examine time-dependent predictors of frailty among the oldest old using a longitudinal approach. Methods: Longitudinal data were drawn from the multicentre prospective cohort study “Study on Needs, health service use, costs and health-related quality of life in a large sample of oldest-old primary care patients (85+)” (AgeQualiDe), covering primary care patients aged 85 years and over. Three waves were used (from follow-up, FU, wave 7 to FU wave 9 [with 10 months between each wave]; 1,301 observations in the analytical sample). Frailty was assessed using the Canadian Study of Health and Aging (CSHA) Clinical Frailty Scale (CFS). As explanatory variables, we included sociodemographic factors (marital status and age), social isolation as well as health-related variables (depression, dementia, and chronic diseases) in a regression analysis. Results: In total, 18.9% of the individuals were mildly frail, 12.4% of the individuals were moderately frail, and 0.4% of the individuals were severely frail at FU wave 7. Fixed effects regressions revealed that increases in frailty were associated with increases in age (β = 0.23, p < 0.001), and dementia (β = 0.84, p < 0.01), as well as increases in chronic conditions (β = 0.03, p = 0.058). Conclusion: The study findings particularly emphasize the importance of changes in age, probably chronic conditions as well as dementia for frailty. Future research is required to elucidate the underlying mechanisms. Furthermore, future longitudinal studies based on panel regression models are required to confirm our findings.

To determine the prevalence of overweight and obesity, and to identify factors associated with obesity, among the oldest old.For this study, data from follow-up (FU) wave 7 and FU wave 8 of the 'Study on Needs, Health Service Use, Costs and Health-Related Quality of Life in a Large Sample of Oldest-Old Primary Care Patients (85+)' (AgeQualiDe) were used. At FU wave 7, the mean age was 88.9 years (SD: 2.9; 85-100 years). Body-mass-index (BMI) categories were defined according to the World Health Organization (WHO) thresholds: underweight (BMI < 18.5 kg/m²), normal weight (18.5 kg/m² ≤ BMI < 25 kg/m²), overweight (25 kg/m² ≤ BMI < 30 kg/m²), and obesity (BMI ≥ 30 kg/m²). Longitudinal regression analysis was used to determine factors associated with obesity.At FU wave 7, 3.0 % were underweight, 48.9 % were normal weight, 37.9 % were overweight, and 10.2 % were obese. Regressions showed that the probability of obesity decreased with age (OR: 0.77 [95 % CI: .593-.999]) and less chronic conditions (OR: 1.32 [95 % CI: 1.11-1.57]). The probability of obesity was not associated with sex, educational level, marital status, social isolation, visual impairment, hearing impairment, depression, and dementia.Nearly half of the individuals in very late life had excess weight. Thus, excess weight remains a major challenge, even in very old age. Given the demographic ageing in upcoming decades, this is an issue which we should be aware of.

There are very few studies examining the determinants of frequent attendance in primary care among the oldest old. The purpose of this study was to determine the characteristics of frequent attendance among individuals aged 85 years or older. Cross-sectional data stem from the multicenter prospective cohort “Study on needs, health service use, costs and health-related quality of life in a large sample of oldest old primary care patients (85 +)” (AgeQualiDe). This study covers very old primary care patients (n = 861, mean age of 89.0 years ± 2.9; 85–100 years). The number of self-reported GP visits in the preceding 3 months was used to quantify frequent attenders. We defined patients in the top decile as frequent attenders. Multiple logistic regressions showed that frequent attendance was associated with more chronic diseases (adjusted OR 1.12, 95% CI 1.01–1.23), worse functioning (OR 0.97, 95% CI 0.95–0.99), worries about one’s financial situation (OR 2.20, 95% CI 1.07–4.53) and it was inversely associated with depression (OR 0.26, 95% CI 0.08–0.80). In contrast to studies based on younger samples, different factors were associated with frequent users in our study, showing that it is important to study the determinants of frequent attendance among the oldest old. In Germany, among the group of the oldest old, frequent attendance was positively associated with worse physical health status (e.g., number of chronic diseases), but negatively with depression. This might indicate that the German health care system is responsive to the physical, but not psychological needs of the oldest old.

Background and Objectives We examined the validity of 5 successful aging (SA) operationalizations that assessed different facets of the SA construct (cognitive and physical health and disability; well-being; social engagement). Research Design and Methods A total of 2,478 participants (mean age = 82.5 years, standard deviation [SD] = 3.47) were studied. We used confirmatory factor analysis to investigate the relationships between facets and to determine the convergent validity as well as short-term (1.5 years) and long-term (4.5 years) predictive validity of the 5 SA operationalizations for measures of quality of life (QoL) and objective health outcomes. Results A general SA operationalization that included all SA facets but also allowed differences between them showed the best model fit and construct validity. A biomedical operationalization of SA that excluded either the well-being or the social engagement facet showed lower convergent and predictive validity for subjective measures (e.g., QoL) but higher associations with objective measures (e.g., health). A purely psychosocial SA operationalization that excluded the physiological facet did not allow good prediction of objective health outcomes. Discussion and Implications Our results suggest that a well-balanced SA operationalization should include measures assessing health, disability, well-being, and social engagement.

Purpose To investigate the association between health-related quality of life and ego integrity among the oldest old. Materials and methods Cross-sectional data were taken from follow-up wave 9 of the multicenter prospective cohort study “Needs, health service use, costs and health-related quality of life in a large sample of oldest-old primary care patients (85+)” (AgeQualiDe). Our analytical sample comprised n = 495 observations. Mean age was 90.2 years (SD: 2.7 years). Health-related quality of life was quantified using the EQ-5D-3L questionnaire (including the visual analogue scale EQ-VAS). Ego integrity was measured using the Ego Integrity Scale. Results Regressions showed an association between decreased ego integrity and problems with ‘usual activities’, ‘pain/discomfort’ and ‘anxiety/depression’. Furthermore, regressions showed a marginally significant association between decreased ego integrity and problems with ‘mobility’ and a decreased EQ-VAS score. Ego integrity was not significantly associated with problems with ‘self-care’. Conclusions Findings stress the importance of health-related quality of life for ego integrity among the oldest old. Future studies are required to clarify the underlying mechanisms.

Introduction Previous studies have demonstrated that an overall high level of mental work demands decreased dementia risk. In our study, we investigated whether this effect is driven by specific mental work demands and whether it is exposure dependent. Methods Patients aged 75+ years were recruited from general practitioners and participated in up to seven assessment waves (every 1.5 years) of the longitudinal AgeCoDe study. Analyses of the impact of specific mental work demands on dementia risk were carried out via multivariate regression modeling (n = 2315). Results We observed a significantly lower dementia risk in individuals with a higher level of "information processing" (HR, 0.888), "pattern detection" (HR, 0.878), "mathematics" (HR, 0.878), and "creativity" (HR, 0.878). Yet, exposure-dependent effects were only significant for "information processing" and "pattern detection." Discussion Our longitudinal observations suggest that dementia risk may be reduced by some but not all types of mental work demands.

Aim To present data on the prevalence of driving habits and to identify the determinants of driving habits among the oldest old in Germany. Methods Cross-sectional data were used from the “Study on Needs, health service use, costs and health-related quality of life in a large sample of oldest-old primary care patients (85+)” (AgeQualiDe), including primary care patients aged 85 years and above (n = 549 at FU 9, mean age was 90.3 years; 86–101 years). Driving habits were measured (driving a car; frequency of driving a car and driving duration). Correlates were quantified using widely established scales (e.g., Geriatric Depression Scale, Instrumental Activities of Daily Living Scale). Multiple regression models were used to identify the determinants of driving habits. Results Sixteen percent (87 out of 549) drove a car. Among the car-drivers, about 80% drove at least several times a week and about two-thirds drove longer distances (>15 min). Multiple logistic regressions showed that among the oldest old being a male was more likely to be a current driver compared to being a female. Other significant factors were subjective memory impairment, severe visual impairment, functional and cognitive impairment. Correlates of frequency of driving a car and driving duration were further identified. Conclusion About one in six very old Germans is still a regular car driver. Several determinants of driving habits among the oldest old were identified. Future longitudinal studies are required to clarify the factors leading to changes in driving habits.

OBJECTIVE To analyze the association of anxiety symptoms with health care use and costs in people aged 85 and older. METHODS Baseline data from AgeQualiDe (N = 856), a multicenter prospective cohort study of primary care patients aged 85 and older, were analyzed. Anxiety symptoms (Geriatric Anxiety Inventory-Short Form) and health care use were assessed via questionnaires. Health care use was monetarily valued using German unit costs to obtain sectoral (inpatient, outpatient, nursing care, medical supplies, and medication) and total costs. Health care use and costs were analyzed in regression models as a function of anxiety symptoms, as well as relevant covariates (predisposing, enabling, and other need characteristics based on the Behavioral Model of Health Care Use). RESULTS On a descriptive level, people with increased anxiety symptoms (12% of the sample) incurred on average € 10 909 (SD: 16 023) in the last 6 months, 31% more than those without increased anxiety (€ 8303, SD: 11 175; P = 0.12). Adjusting for predisposing, enabling, and other need characteristics, anxiety symptoms were not significantly associated with health care use or costs. Specifically, need characteristics (morbidity, cognitive decline, and functional impairment) were associated with total or sectoral costs, depending on the cost category analyzed. CONCLUSION In a sample of people of the oldest-old age group, the severity of anxiety symptoms was not associated with health care use or costs, when adjusting for relevant covariates. A longitudinal analysis could assess whether a change in anxiety symptom severity is associated with health care use or costs in old age.