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Interactions among actions perform and psychotropic medicine.
Objective Online banking is becoming increasingly common among middle-aged and older adults, who may experience difficulties effectively navigating this sometimes complicated technology. This study examined age effects on a performance-based internet banking task and its association with neurocognitive, functional, and numerical abilities. Method Thirty-five older adults (age 51-75) and 50 younger adults (age 18-32) completed an experimenter-controlled online banking measure in which they independently performed a series of naturalistic financial tasks (e.g., account transfers, bill paying). Participants also completed standardized tests of cognition, numeracy, and functional capacity. Results Older adults were markedly slower and less accurate in completing the internet-based banking task, which was not confounded by other demographic, mood, or computer use factors. Higher scores on measures of neurocognition, numeracy, and financial functional capacity were both strongly associated with higher internet-based banking among older, but not younger adults. Conclusions Findings suggest that older adults experience difficultly quickly and accurately navigating online banking platforms, which may be partly related to age-related declines in neurocognitive functions and basic financial capacity. Future studies might examine whether neurocognitive approaches to remediation and compensation can be used to improve online banking capacity in older adults. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
Late-life changes in cognition and brain integrity are both highly multivariate, time-dependent processes that are essential for understanding cognitive aging and neurodegenerative disease outcomes. The present study seeks to identify a latent variable model capable of efficiently reducing a multitude of structural brain change magnetic resonance imaging (MRI) measurements into a smaller number of dimensions. We further seek to demonstrate the validity of this model by evaluating its ability to reproduce patterns of coordinated brain volume change and to explain the rate of cognitive decline over time.

We used longitudinal cognitive data and structural MRI scans, obtained from a diverse sample of 358 participants (

= 74.81,
= 7.17), to implement latent variable models for measuring brain change and to estimate the effects of these brain change factors on cognitive decline.

Results supported a bifactor model for brain change with four group factors (prefrontal, temporolimbic, medial temporal, and posterior association) and one general change factor (global atrophy). Atrophy in the global (β = 0.434,
= 0.070), temporolimbic (β = 0.275,
= 0.085), and medial temporal (β = 0.240,
= 0.085) factors were the strongest predictors of global cognitive decline. Overall, the brain change model explained 59% of the variance in global cognitive slope.

The current results suggest that brain change across 27 bilateral regions of interest can be grouped into five change factors, three of which (global gray matter, temporolimbic, and medial temporal lobe atrophy) are strongly associated with cognitive decline. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
The current results suggest that brain change across 27 bilateral regions of interest can be grouped into five change factors, three of which (global gray matter, temporolimbic, and medial temporal lobe atrophy) are strongly associated with cognitive decline. (PsycInfo Database Record (c) 2021 APA, all rights reserved).Objective This study aimed to investigate how sleep and physical activity habits related to cognitive functioning, in naturalistic settings, in early Huntington's disease (HD). Method Forty-two participants with the expanded HD repeat (20 manifest, 22 premanifest) and 29 healthy controls wore Fitbit One sleep and activity monitors for 7 days and 7 nights. They used a smartphone application to complete daily sleep and activity diaries, sleep and mood inventories, and a brief battery of cognitive tests, which were completed on Day 8 of the study. All data were collected in naturalistic home and community settings. Results Amongst participants with the expanded HD repeat, greater time spent in bed, measured by Fitbit, was associated with poorer accuracy and response speed on a test of visual memory, whereas lower levels of physical activity, measured by Fitbit, were associated with poorer accuracy on a test involving a working memory component. Neither time in bed nor physical activity is associated with a test of psychomotor speed. find more Groups were mostly similar across a range of Fitbit and self-report measures of sleep and physical activity, although the Manifest-HD group spent more time in bed than the Premanifest-HD and Healthy Control groups and had better self-reported sleep quality and more self-reported time spent sitting than the Healthy Control group and the Premanifest-HD group, respectively. Conclusions Sleep timing and physical activity relate to cognitive functioning in HD and may be important targets for management in behavioral intervention studies aimed at improving cognition in HD. (PsycInfo Database Record (c) 2021 APA, all rights reserved).Objective Despite theoretical models emphasizing the likely importance of adaptive decision-making to maintaining safety on the roads, there has been a lack of research investigating this topic. This exploratory study aimed to determine if decision-making under risk conditions, as measured by the Game of Dice Task (GDT), can explain additional variance in on-road driving safety beyond other well-validated predictors. Method Two hundred and thirty-nine cognitively normal Australian drivers aged 65-96 completed demographic and health questionnaires, vision testing, a neurocognitive test battery assessing cognitive flexibility, cognitive interference, episodic memory, verbal working memory, verbal fluency, and visuospatial function, the GDT-a lab-based assessment of decision-making under risk conditions, validated off-road driver screening measures and an on-road driving assessment along a standard route in urban traffic conditions administered by a trained Occupational Therapist (OT). Results The number of risky choices made, but not the number of strategy changes, across trials of the GDT independently predicted on-road safety ratings after controlling for visual acuity, cognitive test performance, and off-road driver screening measures, B = -.
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