Effects of a multidomain intervention against cognitive decline on dementia risk profiles - Results from the AgeWell.de trial.

INTRODUCTION: Dementia risk scores constitute promising surrogate outcomes for lifestyle interventions targeting cognitive function. We investigated whether dementia risk, assessed using the LIfestyle for BRAin health (LIBRA) index, was reduced by the AgeWell.de intervention. METHODS: Secondary analyses of the AgeWell trial, testing a multicomponent intervention (including optimization of nutrition, medication, and physical, social, and cognitive activity) in older adults with increased dementia risk. We analyzed data from n = 461 participants with complete information on risk/protective factors comprised by LIBRA at the 24-month follow-up. Intervention effects on LIBRA and LIBRA components were assessed using generalized linear models. RESULTS: The intervention reduced LIBRA scores, indicating decreased dementia risk at follow-up (b = -0.63, 95% confidence interval [CI]: -1.14, -0.12). Intervention effects were particularly due to improvements in diet (odds ratio [OR]: 1.60, 95% CI: 1.16, 2.22) and hypertension (OR: 1.61, 95% CI: 1.19, 2.18). DISCUSSION: The AgeWell.de intervention reduced dementia risk. However, several risk factors did not improve, possibly requiring more intensive interventions. HIGHLIGHTS: The AgeWell.de intervention reduced dementia risk according to LIfestyle for BRAin health (LIBRA) scores. Beneficial effects on LIBRA are mainly due to changes in diet and blood pressure. A pragmatic lifestyle intervention is apt to reduce dementia risk in an at-risk population.

Adherence to a lifestyle intervention - just a question of self-efficacy? Analysis of the AgeWell.de-intervention against cognitive decline.

BACKGROUND: Aim of this study was to detect predictors of better adherence to the AgeWell.de-intervention, a two-year randomized multi-domain lifestyle intervention against cognitive decline. METHODS: Data of 317 intervention group-participants comprising a risk group for dementia (Cardiovascular Risk Factors, Ageing and Dementia (CAIDE) score of ≥ 9; mean age 68.9 years, 49.5% women) from the AgeWell.de intervention study were analysed. Regression models with four blocks of predictors (sociodemographic, cognitive and psychosocial, lifestyle factors and chronic conditions) were run on adherence to the components of nutrition, enhancement of social and physical activity and cognitive training. Adherence to each component was operationalised by assessing the degree of goal achievement per component at up to seven time points during the intervention period, measured using a 5-point Likert scale (mean score of goal achievement). RESULTS: Increasing age was negatively associated with adherence, while higher education positively predicted adherence. Participants with better mental state (Montreal Cognitive Assessment (MoCA)-score > 25) at baseline and higher self-efficacy adhered better. Diabetes and cardiovascular conditions were not associated with adherence, whereas smoking negatively affected adherence. Highest education and quitting smoking in the past were the only predictors associated with all four intervention components. CONCLUSION: Results identified predictors for better and worse adherence. Particularly self-efficacy seems to be of considerable influence on adherence. This should be considered when designing future intervention trials. TRIAL REGISTRATION: German Clinical Trials Register (ref. number: DRKS00013555).

Age-specific risk factors of depression among the oldest-old - evidence from the multicenter AgeCoDe-AgeQualiDe study.

Purpose: The present study aimed to investigate age-group-specific incidence rates and risk factors for depressive symptoms in the highest age groups. Methods: Data were derived from a prospective multicenter cohort study conducted in primary care - the AgeCoDe/AgeQualiDe study. In total, 2,436 patients 75 years and older were followed from baseline to ninth follow-up. To assess depressive symptoms, the short version of the Geriatric Depression Scale (GDS-15, cutoff score 6) was used. Age-specific competing risk regressions were performed to analyze risk factors for incident depressive symptoms in different age groups (75 to 79, 80 to 84, 85+ years), taking into account the accumulated mortality. Results: The age-specific incidence rate of depression was 33 (95% CI 29-38), 46 (95% CI 40-52) and 63 (95% CI 45-87) per 1,000 person years for the initial age groups 75 to 79, 80 to 84 and 85+ years, respectively. In competing risk regression models, female sex, mobility as well as vision impairment, and subjective cognitive decline (SCD) were found to be risk factors for incident depression for age group 75 to 79, female sex, single/separated marital status, mobility as well as hearing impairment, and SCD for age group 80 to 84, and mobility impairment for age group 85+. Conclusion: Depressive symptoms in latest life are common and the incidence increases with increasing age. Modifiable and differing risk factors across the highest age groups open up the possibility of specifically tailored prevention concepts.