A Holistic Approach to the Measurement of Physical Function in Clinical Research.

Background: This commentary highlights the evolution of our understanding of physical function (PF) and key models/frameworks that have contributed to the current holistic understanding of PF, which encompasses not only a person's performance but also the environment and any adaptations an individual utilizes. This commentary also addresses how digital health tools can facilitate and complement the assessment of holistic PF and enable both objective and subjective input from the participant in their real-world environment. Lastly, we discuss how successful implementation of digital tools within clinical research requires patient input.

Understanding the dynamic process of human behavior changes towards disaster preparedness: an application of the integrated TTM with SCT and PMT.

Integrating the Transtheoretical Model with Social Cognitive Theory and Protection Motivation Theory, we propose a new model to study the progress of behavior changes towards disaster preparedness along three developmental stages: from "not prepared" (NP), to "intention to prepare" (IP), to "already prepared" (AP). Using the 2021 National Household Survey data (FEMA, N = 6,180), we tested this model by employing a series of nested weighted generalized ordered logistic regressions. We found that, although Hispanics have a larger prevalence of IP than their non-Hispanic white counterparts, they are less likely to move to the AP stage.

Locus coeruleus MRI contrast, cerebral perfusion, and plasma Alzheimer's disease biomarkers in older adults.

The locus coeruleus (LC) is among the first brain structures impacted by Alzheimer's disease (AD), and noradrenergic denervation may contribute to early neurovascular dysfunction in AD. Mechanistic links between the LC and cerebral perfusion have been demonstrated in rodents, but there have been no similar studies in aging humans. Community-dwelling older adults with no history of stroke or dementia (N=66) underwent structural (T1-MPRAGE; T1-FSE) and perfusion (resting pCASL) MRI.

Digital Health Technologies for Alzheimer's Disease and Related Dementias: Initial Results from a Landscape Analysis and Community Collaborative Effort.

Digital health technologies offer valuable advantages to dementia researchers and clinicians as screening tools, diagnostic aids, and monitoring instruments. To support the use and advancement of these resources, a comprehensive overview of the current technological landscape is essential. A multi-stakeholder working group, convened by the Digital Medicine Society (DiMe), conducted a landscape review to identify digital health technologies for Alzheimer's disease and related dementia populations.