Overview of the Academic Presentation Oishi Kenko, a company aiming to establish Data science-based Nutrition (DBN), announced the findings of a pilot study regarding its personalized health support app for specific health guidance at the 69th Annual Meeting of the Japan Diabetes Society, held from May 21 to 23, 2026. The study was approved by the Medical Ethics Committee of Kyoto Prefectural University of Medicine and conducted with support from the Japan Agency for Medical Research and Development (AMED).

Background and Objectives As the implementation rate of specific health guidance remains limited, expectations for digital transformation (DX) using healthcare apps are rising. However, low usage retention is a persistent challenge, necessitating a deeper understanding of drop-out factors and the design of personalized approaches tailored to diverse lifestyles. This study aimed to verify the weight loss effectiveness and usage continuity of the app alone.

Research Summary and Key Results A multi-facility exploratory trial was conducted over 90 days with 4 participating facilities, targeting medical examination recipients with a BMI of 25 or higher. Key findings include: - Improvements in weight and abdominal circumference were confirmed in 92% of participants who completed the study, with a significant average reduction of -1.99kg in weight and -3.13cm in abdominal circumference (p<0.001). - Participants were able to choose how to engage based on their lifestyles. The greatest weight loss effect (-2.98kg, p<0.001) was observed in the segment that found exercise challenging. - Insights into the structure of user drop-out timings were obtained, providing clues for enhancing long-term continuity.

Future Outlook Oishi Kenko will continue to generate evidence and expand its services, aiming to realize a society where食 (food) related problems are solved and healthy eating is enjoyable for all.

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