Impact of digital health interventions on glycemic control and weight management

Impact of digital health interventions on glycemic control and weight management

This retrospective cohort study evaluates the impact of an AI-supported continuous glucose monitoring (CGM) mobile app (“January V2”) on glycemic control and weight management in 944 users, including healthy individuals and those with prediabetes or type 2 diabetes (T2D). The app, leveraging AI to p...

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Veröffentlicht in:NPJ digital medicine 2025-01, Vol.8 (1), p.20-11, Article 20
Hauptverfasser: Veluvali, Arvind, Dehghani Zahedani, Ashkan, Hosseinian, Amir, Aghaeepour, Nima, McLaughlin, Tracey, Woodward, Mark, DiTullio, Alex, Hashemi, Noosheen, Snyder, Michael P.
Format: Artikel
Sprache:eng
Schlagworte:
692/699/2743/137
692/700/459
Biomedicine
Biotechnology
Cohort analysis
Diabetes
Disease prevention
Feedback
Glucose
Insulin
Intervention
Medicine
Medicine & Public Health
Metabolic disorders
Missing data
Prevention programs
Weight control
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Zusammenfassung:This retrospective cohort study evaluates the impact of an AI-supported continuous glucose monitoring (CGM) mobile app (“January V2”) on glycemic control and weight management in 944 users, including healthy individuals and those with prediabetes or type 2 diabetes (T2D). The app, leveraging AI to personalize feedback, tracked users’ food intake, activity, and glucose responses over 14 days. Significant improvements in time in range (TIR) were observed, particularly in users with lower baseline TIR. Healthy users’ TIR increased from 74.7% to 85.5% ( p  
ISSN:2398-6352
2398-6352
DOI:10.1038/s41746-025-01430-7