Cognitive and brain reserve predict decline in adverse driving behaviors among cognitively normal older adults.

Daily driving is a multi-faceted, real-world, behavioral measure of cognitive functioning requiring multiple cognitive domains working synergistically to complete this instrumental activity of daily living. As the global population of older adult continues to grow, motor vehicle crashes become more frequent among this demographic. Cognitive reserve (CR) is the brain's adaptability or functional robustness despite damage, while brain reserve (BR) refers the structural, neuroanatomical resources. This study examined whether CR and BR predicted changes in adverse driving behaviors in cognitively normal older adults. Cognitively normal older adults (Clinical Dementia Rating 0) were enrolled from longitudinal studies at the Knight Alzheimer's Disease Research Center at Washington University. Participants (n = 186) were ≥65 years of age, required to have Magnetic Resonance Imaging (MRI) data, neuropsychological testing data, and at least one full year of naturalistic driving data prior to the beginning of COVID-19 lockdown in the United States (March 2020) as measured by Driving Real World In-vehicle Evaluation System (DRIVES). Findings suggest numerous changes in driving behaviors over time were predicted by increased hippocampal and whole brain atrophy, as well as lower CR scores as proxied by the Wide Range Achievement Test 4. These changes indicate that those with lower BR and CR are more likely to reduce their driving exposure and limit trips as they age and may be more likely to avoid highways where speeding and aggressive maneuvers frequently occur.

An event-based model and a map visualization approach for spatiotemporal association relations discovery of diseases diffusion

Infectious disease diffusion is inherently a complex spatiotemporal phenomenon. Simplifying this complexity to discover the associated structure of the city is of great importance. However, existing approaches mainly focus on distance property in geographic space to examine randomness, dispersion, or clustered structure of the disease distribution. While, the outbreak continuously changes its properties, shapes, or locations. Regardless of this adjacency-based structure, there may be associated spatial units that exhibit similar behaviors towards the outbreak fluctuations in a city. To reveal these characteristics, this research proposes a novel event-based spatiotemporal model, mining associated areas in space and time simultaneously. This model was applied to the cases rate of COVID-19 at the ZIP Code level in New York City. The results showed that the proposed approach could sufficiently address the spatiotemporal association relationships. To better understand the discovered associations, a map visualization approach is introduced, allowing recognition of these association relations at a glance. This approach develops a deep understanding of the spatiotemporal structure of the outbreak and better manifests the association and cause-and-effect relations between ZIP Code areas. The results provide good assets for the construction of healthy resilient cities with the function of preventing epidemic crises in the future.

COVID-19 and preclinical Alzheimer disease: Driving, mobility, activity and experiences of older adults in the United States

Background As the world grapples with the COVID-19 pandemic, there have been widespread disruptions to everyday life due to social distancing. Older adults with Alzheimer disease (AD) are at increased risk of morbidity and mortality from COVID-19. It is unknown how COVID-19 affects the mobility patterns of older adults with preclinical AD. Since before the pandemic, we have been monitoring the driving behaviors of older adults, enabling us to evaluate the impact of the pandemic on individuals with and without preclinical AD. Method We used in-vehicle Global Positioning System (GPS) devices to study driving behaviors of 115 older adults enrolled in the DRIVES study (aged 65+) from 1/1/2019 to 31/12/2020. The cohort included 62 individuals with preclinical AD (PreAD) and 53 without preclinical AD (CTL), as determined by cerebrospinal fluid biomarkers. All participants completed an online survey about their overall experiences during the pandemic. Using the GPS data, we determined the average monthly distance travelled, and the number of visitations to destinations categorized as food shopping, place of worship, restaurant, leisure, or health. All measures were computed monthly. Result oth groups experienced an approximate 40% decline in average monthly distance travelled overall after the start of the pandemic (PreAD: 1287.92 to 783.38 km vs. CTL: 1751.26 to 1053.29 km). Visits to places of worship, restaurants, leisure and health places declined by 70%, 46%, 23%, and 23% for the PreAD group, and by 48%, 31%, 48%, and 22% for the CTL group, respectively. However, the pandemic did not result in a significant decline in Food Shopping among either of the groups. Overall, compared to the CTL group, the PreAD group experienced a higher level of stress in response to the recommendations for socially distancing (p<0.01), more uncertainty about their risk of COVID-19 (p<0.05), more decline in trips for worship (p<0.05) and less decline in trips for leisure (p<0.01). Conclusion Our findings indicate decreased mobility in all older adults during the pandemic, with the preclinical AD group exhibiting more decline in trips to places of worship, less decline in leisure activities, and increased stress and uncertainty in response to COVID-19.