Throughout adulthood and ageing our brains undergo structural loss in an average pattern resembling faster atrophy in Alzheimer's disease (AD). Using a longitudinal adult lifespan sample (aged 30-89; 2-7 timepoints) and four polygenic scores for AD, we show that change in AD-sensitive brain features correlates with genetic AD-risk and memory decline in healthy adults. We first show genetic risk links with more brain loss than expected for age in early Braak regions, and find this extends beyond APOE genotype.
View Article and Find Full Text PDFTo check claims of a "loneliness epidemic," we examined whether current cohorts of older adults report higher levels and/or steeper age-related increases in loneliness than earlier-born peers. Specifically, we used 1,068 age-matched longitudinal reports (M = 79 years, 49% women) of loneliness provided by independent samples recruited in the German city of Berlin in 1990 and 2010, n = 257 participants in the Berlin Aging Study (BASE) and n = 383 participants in Berlin Aging Study II (BASE-II). Using multilevel models that orthogonalize between-person and within-person age effects, we examined how responses to items from the UCLA Loneliness Scale provided by observation-matched cohorts differed with age and across cohorts, and if those differences might be explained by a variety of individual factors.
View Article and Find Full Text PDFExperiencing pain in middle adulthood and old age might be interpreted as a sign of aging and make people feel older, whereas feeling older has behavioral, motivational, and physiological consequences that might increase the risk of pain. We investigated between-person and within-person associations between pain, subjective age, and chronological age in middle-aged and older adults. Data from the German Ageing Survey were used ( = 13,874 who provided more than 32,000 observations, baseline mean age = 62.
View Article and Find Full Text PDFIn sharp contrast to event-based prospective memory (PM), dynamics of (re)allocation of attention between the ongoing and PM tasks have been much less investigated in time-based PM tasks. We propose an in-depth examination of attention allocation in a time-based PM task by jointly analyzing multiple indicators of time-monitoring behavior, net and time-structured intraindividual variability (IIV) in ongoing-task reaction times (OT RTs), and task performance. Results from dynamic structural equation modeling in a lifespan sample of 198 adults (19-86 years) revealed that larger fluctuations in OT RTs (net IIV) predicted poorer OT performance, but fostered a more efficient pattern of time-monitoring behavior (i.
View Article and Find Full Text PDFThe linear mixed model (LMM) and latent growth model (LGM) are frequently applied to within-subject two-group comparison studies to investigate group differences in the time effect, supposedly due to differential group treatments. Yet, research about LMM and LGM in the presence of outliers (defined as observations with a very low probability of occurrence if assumed from a given distribution) is scarce. Moreover, when such research exists, it focuses on estimation properties (bias and efficiency), neglecting inferential characteristics (e.
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