Assessing the Role of Adaptive Digital Platforms in Personalized Nutrition and Chronic Disease Management
DOI:
https://doi.org/10.53469/wjimt.2025.08(01).05Keywords:
Personalized nutrition, Digital platforms, Chronic disease management, AI-based interventions, Wearable-integrated systemsAbstract
Digital platforms have increasingly been utilized for personalized nutrition interventions in the management of chronic diseases. This meta-analysis evaluates their efficacy by synthesizing data from 55 studies involving 16,280 participants, focusing on three critical outcomes: weight management, glycemic control, and cardiovascular health. AI-based platforms demonstrated significant clinical improvements, achieving an average weight reduction of 4.6 kg, an HbA1c decrease of 1.1%, and an LDL cholesterol reduction of 18.6 mg/dL. Wearable-integrated systems delivered even greater outcomes in some cases, including an average weight reduction of 5.2 kg and an HbA1c decrease of 1.3%, reflecting the added benefit of continuous monitoring and real-time feedback. Rule-based systems, while effective to some degree, showed more modest outcomes due to their static intervention design. This study not only quantifies the clinical benefits of these platforms but also evaluates their broader potential through a multidimensional framework encompassing user engagement, scalability, healthcare integration, and cost-effectiveness. Long-term interventions exceeding six months consistently produced superior results, underscoring the importance of sustained adherence and adaptive feedback mechanisms. The findings point to the transformative potential of these technologies but also highlight key challenges, including scalability, affordability, and accessibility in underserved populations. By addressing these barriers, digital platforms can become an integral part of personalized chronic disease management, offering scalable and impactful solutions for improving global health outcomes.
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