Abstract
Digital chrononutrition integrates wearable sensors, continuous glucose monitoring (CGM), and smart mobile applications to enable precision-based meal timing tailored to each individual's circadian and metabolic patterns. Wearables track biological rhythms, such as sleep cycles, heart rate variability, and body temperature to define optimal meal windows. CGMs capture detailed glucose profiles, highlighting how meals consumed at different times affect postprandial glycemic responses. When these data streams are combined via intelligent apps, users receive real-time, customized guidance on advancing or delaying meals to match peaks in insulin sensitivity. This has the potential to lead to improved glycemic control and metabolic stability compared to conventional static dietary advice. However, widespread adoption, especially in resource-limited settings, faces challenges stemming from high device costs, infrastructure gaps (electricity and internet), limited digital literacy, and insufficient local support. Overcoming these obstacles through subsidies, community health worker training, culturally tailored app design, and robust infrastructure can make precision chrononutrition a scalable and equitable solution in global diabetes care.