Cognitive health is a critical aspect of overall well-being, but for rural, multicultural older adults, unique challenges such as limited access to education and specialized healthcare can increase the risk of cognitive decline. In a recent study, Life Adapt CRO Diane Cook, in collaboration with researchers from Washington State University and Florida Atlantic University, explored a novel approach to detect early cognitive risk using smartwatch technology and engaging local high school students as mentors.
The Research Journey: The study began with the goal of testing the feasibility of utilizing smartwatches to track behavior and physiological patterns for early cognitive risk detection. These wearable devices were programmed with a cutting-edge “n-back” shape test, ecological momentary assessment, and movement tracking capabilities. Simultaneously, traditional paper-and-pencil measures like PROMIS® Applied Cognition, Mini-Cog, and Mini-MoCA were employed to assess cognitive risk.
Community Involvement: What sets this research apart is the inclusion of local high school students as mentors. These students played a crucial role in guiding older adults through the use of smartwatches during home visits. The engagement of students was closely monitored by their advisor, with additional oversight from experienced research assistants.
Results and Insights: The participants, with an average age of 71.6 and an average of 60.3 years lived in a rural setting, underwent the smartwatch-based cognitive assessments. Results showed promising correlations, with particular significance in the n-back Shape test and correlations with Ecological Momentary Assessment questions. Notably, pre-post correlations in Technology Activities of Daily Living (T-ADL) and Applied Cognition were statistically significant, indicating the potential of the approach.
Implications and Future Directions: The study’s innovative two-pronged approach, combining wearable technology with community involvement, offers valuable insights for Alzheimer’s Disease and Related Disorders (ADRD) research, especially among underrepresented groups. The findings suggest that this method could be scaled up to benefit larger populations facing similar challenges.
As we navigate the complexities of cognitive health in rural, multicultural settings, this research showcases the power of technology and community collaboration. Wearable tech, coupled with the enthusiasm and support of local high school students, presents a promising avenue for early detection and intervention. By bridging generational gaps and leveraging innovative solutions, we are not only advancing scientific knowledge but also fostering stronger, healthier communities.
This research was presented at the 2023 Alzheimer’s Association International Conference. The presentation was entitled “Testing the Feasibility of Tracking Behavior and Physiology Patterns using Wearable Technology to Detect Potential Cognitive Risk among Rural, Multicultural Older Adults“.