This study investigates the application of proactive health management strategies to prevent chronic diseases like hypertension, stroke, and diabetes among middle-aged and elderly populations in China. Focusing on urban and semi-urban communities in five provinces, the research targets individuals aged 50-75 with risk factors such as obesity or family history of cardiovascular diseases. Challenges include inconsistent digital health records, exclusion of ethnic minorities, and financial constraints limiting longitudinal tracking to 18 months. Despite these limitations, the study aims to bridge the gap between theoretical frameworks and practical applications. Academically, it proposes a model integrating behavioral science with emerging health technologies. Practically, it offers scalable solutions for China's rising chronic disease burden, emphasizing cost-effective screening methods and the reliability of smart healthcare systems. The study underscores the importance of linking behavioral theories, technological tools, and policy frameworks to create a cohesive system for disease prevention.

Dongxiu Chen, Bingzi Li, Manyi Zhuang, Jian Huang. Study on Proactive Health Management Preventing Disease before It Emerges. Academic Journal of Medicine & Health Sciences (2025), Vol. 6, Issue 7: 66-85. https://doi.org/10.25236/AJMHS.2025.060710.

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