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Background: The 24 h time-use composition of physical activity, sedentary behavior, and sleep is linked to cognitive function in adults and may contribute to future dementia risk. However, the impact of reallocating time between behaviors may differ depending on an individual's genetic dementia risk. Objective: To explore if there is an interaction between 24 h time-use composition and genetic dementia risk in relation to cognitive function, and to simulate how time-reallocations are associated with cognitive function across different levels of genetic dementia risk.Methods: Cross-sectional global cognition, executive function, genetic dementia risk (at least one apolipoprotein (APOE) epsilon 4 allele versus none) and 7 days of 24 h accelerometry (average daily time-use composition of moderate-to-vigorous physical activity (MVPA), light physical activity, sedentary behavior, sleep) were collected from 82 adults (65.6 +/- 7.5 years, 49 females). Linear regression was used to explore the relationship between time-use composition and cognitive measures, testing for interaction between APOE epsilon 4 status and time-use composition. The models were used to simulate time reallocations in both APOE epsilon 4 status groups Results: The 24 h time-use composition was associated with global cognition (F = 2.4, p = 0.02) and executive function (F = 2.6, p = 0.01). For both measures, the association differed according to genetic risk (interactions p < 0.001). In both APOE groups, reallocating time to MVPA was beneficially associated with measures of cognitive function, but associations were larger among those with at least one APOE epsilon 4 allele. Conclusion: Genetic dementia risk may impact the effectiveness of activity interventions. Increasing MVPA may provide greater benefits among those with higher genetic dementia risk. Refereed/Peer-reviewed

Epidemiological Clinicopathological Studies in Europe (EClipSE) is the harmonization of neuropathological and longitudinal clinical data from three population-based prospective longitudinal studies of aging. The EClipSE database (Version 1.0) comprises data from the first 970 people who donated their brain at death and this number will increase. EClipSE enables sociodemographic, health, cognitive, and genetic measures collected during life to be related to neuropathology at death, testing hypotheses which require more power than has been previously possible. EClipSE aims to help throw light on relationships between biological, health and psychological factors underlying ageing and the manifestation of clinical dementia.