Integrating Continuous Glucose Monitoring into Personalised Nutrition: Retrospective Insights from Real-World Vively Use

The rising popularity of apps that sync with continuous glucose monitors (CGMs) reflects growing interest in on-demand, personalised care. Understanding user characteristics and engagement can inform the design of mobile-enabled tools that move healthcare beyond traditional models. Vively delivers personalised lifestyle guidance based on CGM biofeedback and self-monitored behaviour. The users (N = 7,647) were diverse, with a mean baseline glucose of 5.8 mmol/L (SD 1.1). They wore CGMs for a median of 15 days (IQR 14–30); 91.7% logged food, with daily meal logging dropping from 90.8% during wear to 1.5% after removal. In multivariate models, higher baseline glucose predicted longer CGM wear (IRR 1.15, 95% CI 1.13–1.17) but fewer days of food logging (IRR 0.96, 95% CI 0.94–0.98). Smart device syncing and older age were associated with higher engagement in both behaviours (IRRs 1.45 and 1.32).