Expanding continuous glucose monitoring's potential from real-time safety to lifestyle support in type 1 diabetes exercise: a proof-of-concept study among adults with low baseline exercise levels.

Objective: This proof-of-concept study sought to explore how data from CGM and exercise can be aggregated and analyzed to capture clinically meaningful glycemic patterns and actionable feedback. To this end, we examined how exercise days were associated with glucose outcomes derived from continuous glucose monitoring (CGM) among adults with type 1 diabetes (T1D) who had low baseline exercise levels. Methods: Secondary analyses were conducted on data from a 10-week digital app-based exercise intervention. Participants (N = 17; 52.9% Female; Results: Relative to non-exercise days, exercise days were associated with lower mean glucose (-3.13 mg/dL, Conclusions: In this exploratory study, exercise was associated with greater evening and overnight glucose stability among adults with T1D who were physically inactive at baseline (i.e., 0 min of recorded exercise per week). These preliminary findings suggest the analytic feasibility of linking CGM and exercise data to identify clinically meaningful glycemic patterns. This lays the groundwork for an integrated behavioral support system that provides interpretable, actionable feedback to support patients' diabetes self-management.