Digital technology integration in home-based exercise: a systematic review of research evolution, applications, and...

The integration of digital technologies in home-based exercise (HBE) has emerged as a critical public health intervention, particularly following the COVID-19 pandemic. However, comprehensive understanding of how digital technologies influence HBE research evolution and practice remains limited. This systematic review aims to: (1) map the knowledge evolution of digital technology-supported HBE research, (2) analyze innovative applications and value propositions of digital technologies in HBE, (3) identify key determinants of HBE participation in the digital era, and (4) predict future development trends. Following PRISMA guidelines, we conducted a comprehensive search of the Web of Science database from 2000 to 2024, yielding 311 articles for bibliometric analysis using CiteSpace and VOSviewer. Results indicated that digital technology-supported HBE research has grown exponentially, peaking in 2022. We identified seven core research themes, including intelligent exercise training, AI-driven fall prevention, wearable device interventions, virtual reality rehabilitation, mobile health applications, cancer patient tracking systems, and remote diagnostics. These themes highlight innovative approaches to personalized training, remote monitoring, and immersive rehabilitation experiences, demonstrating significant value in enhancing exercise adherence and health outcomes. Key determinants of HBE participation were identified at personal (social support, professional guidance, self-efficacy) and technological (digital literacy, accessibility, user interface design, data privacy) levels. Digital technologies demonstrate substantial potential for enhancing HBE accessibility, improving adherence, and reducing public health burden. Future research should prioritize addressing digital equity and developing evidence-based implementation frameworks to ensure sustainable and inclusive digital health interventions.