Year: 2026
Type: article
Abstract: School-based health promotion programs are widely implemented to improve dietary behaviors, physical activity, and other lifestyle-related outcomes of children and adolescents. However, the effectiveness of interventions is often inconsistent, and sustaining long-term behavior change remains a persistent challenge. Limited adoption, engagement, and adherence may stem from the inability of traditional one-size-fits-all approaches to account for differences in participants' biological, behavioral, environmental, and social contexts. However, hyper-personalized lifestyle medicine, enabled by recent advances in artificial intelligence (AI), offers a promising framework for integrating multidimensional health data to deliver individualized prevention and intervention strategies at scale. In this perspective, we discuss how AI-driven technologies, including predictive analytics, wearable devices, mobile health applications, conversational agents, and virtual assistants, may enhance the personalization, scalability, and sustainability of community-based health promotion programs, including schools. We also discuss practical challenges associated with implementing hyper-personalized approaches in community settings and propose collaborative models involving schools, researchers, healthcare professionals, and participants to support effective adoption.
Institutions: University of Houston, Pusan National University
Language: English
Subfield: General Health Professions
Field: Health Professions
Domain: Health Sciences
Open Access status: bronze
Funder: University of Houston
OpenAlex ID: W7169670956