4,068 posters, 219 videos, 101 topics, 69 sessions, 14,365 authors, 6,128 institutions
ePostersLive by SciGen Technologies S.A. All rights reserved.
Alzheimer's Association International Conference 2026
July 12-15, 2026 | London, United Kingdom, and Online
9381
Tracking Change: Leveraging A Digital App To Understand A Compensation And Brain Health Intervention For Subjective Cognitive Decline
Poster Presenter
Part of Topic
Tracking Change: Leveraging a Digital App to Understand a Compensation and Brain Health Intervention for Subjective Cognitive Decline
Maureen Schmitter-Edgecombe1, Hillary Aralis2 Jacklyn Fox3, Samina Rahman1, Catherine Luna1, Sarah Tomaszewski Farias3
1Washington State University, Department of Psychology 2UC Davis School of Medicine, Department of Public Health 3University of California, Davis, Department of Neurology
Objective:
Optimizing multimodal brain health interventions for subjective cognitive decline (SCD) requires identifying which components drive outcomes.
•This study examined how adherence to compensatory (i.e., to-do list, calendar) and lifestyle (i.e., physical, cognitive/social, well-being) components of a multimodal, app-supported intervention relates to outcome changes in older adults with SCD.
Method:
•Participants were 163 individuals age 65 or older with SCD in the structured intervention arm of a larger RCT (Farias et al., 2023)
•Participants were organized into 5 cohorts (10 groups; 14–22 per group) and received 16 in-person sessions: weekly (n = 10), biweekly (n = 4), and monthly (final 2).
•The EMMA app (Figure 1) facilitated compensatory and lifestyle strategies; component specific goals captured by the EMMA app are detailed in Table 1.
•Outcome measures included primary distal (cognition, everyday functioning) and secondary proximal outcomes aligned with intervention goals (Table 2).
•For each goal, a proportion adherence score represented the proportion of valid weeks (17 to23) in which participants met or exceeded each goal.
•General linear models regressed change in outcomes from baseline to 6-months on proportion adherence. See Table 2.
Results:
•For the distal measures, greater adherence to specific goals was linked to differential cognitive improvements: daily to-do list adherence predicted gains in executive function, while cognitive activity and well-being adherence predicted improvements in episodic memory.
•For proximal measures, higher adherence to most goals was associated with increased physical and social activity, and well-being adherence was linked to greater use of compensatory strategies.
•No significant associations were found for processing speed, everyday functioning, cognitive activities or positive affect. See Table 2.
Conclusions:
•Digital adherence tracking can strengthen intervention delivery and evaluation by identifying which components are most strongly linked to meaningful outcomes.
•Higher overall adherence was associated with improvements in physical and social activity, while more differentiated, goal-specific relationships (especially for distal outcomes) suggest certain components may uniquely drive targeted changes; however, these findings are exploratory and require replication.
•Results support the potential for using adherence data to inform more personalized, adaptive interventions, and may, in future applications, help identify declines responsive to tailored nudges or automated boosters.
Support & Contact: National Institute on Aging #R01 AG066748; schmitter-e@wsu.edu
Comments
Email is required but is not shown publicly.
Loading comments...