ArticleFrontiers in digital health2026
Sugar slay: a gamified decision support ecosystem for type 1 diabetes.
Article in Frontiers in digital health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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6 authors.
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Abstract
Background/Introduction: Type 1 Diabetes (T1D) management demands consistent attention to blood glucose levels, insulin dosing, physical activity, sleep, and diet-tasks that are especially burdensome for adolescents and young adults navigating new independence. While continuous glucose monitoring (CGM) systems and wearable fitness devices provide real-time physiological data, the cognitive load of interpreting this information and maintaining consistent self-care behaviors remains a significant barrier for patients and their support networks. Methods: We developed the Sugar Slay ecosystem, comprising a gamified mobile decision support application for T1D individuals and a companion application, Results: Among the machine learning models evaluated, the Seq2Seq BiLSTM demonstrated the best performance in forecasting blood glucose trends. The need-finding study identified key caregiver requirements, informing the development of a companion application that supports safety monitoring without undermining patient independence. Discussion: Sugar Slay integrates predictive modeling with habit-building gamification strategies to encourage daily engagement and proactive self-management. By addressing the social dimension of T1D care through
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