Core Viewpoint - The rising prevalence of myopia in China, particularly among children and adolescents, has become a significant public health issue, prompting the release of the "Myopia Prevention and Control Guidelines (2024 Edition)" by the National Health Commission to enhance prevention and treatment standards [1] Group 1: Myopia Statistics and Trends - The overall myopia rate among children and adolescents in China has reached 52.7%, with rates for high school, middle school, and elementary school students at 80.5%, 71.1%, and 35.6% respectively, and the rate for 6-year-old children at 14.5% [1] - Approximately 10% to 15% of high school students suffer from high myopia exceeding 600 degrees, which increases the risk of severe eye conditions [1] Group 2: Shift in Research Focus - Traditional myopia research has primarily focused on genetic and behavioral factors, identifying 10 significant behavioral risk variables such as parental myopia history and screen time [2] - Behavioral interventions have limited effectiveness due to the self-control challenges faced by children and adolescents, leading researchers to explore the impact of visual environment factors on myopia development [3] Group 3: Visual Environment Factors - The research team discovered that factors such as light wavelength, color temperature, and illuminance are closely related to the onset of myopia, with low color temperature light potentially offering protective effects [4] - The team introduced the concept of "iris color" as a potential predictor of myopia risk, finding that darker iris colors correlate with greater myopia progression [4] - The introduction of "spatial frequency" as a new dimension in myopia research has led to the development of a patented quantitative method for assessing spatial frequency in children's environments [4][5] Group 4: Technological Innovations - A real-time monitoring and adjustment system for myopia prevention based on spatial frequency has been developed, which can be integrated into smart lighting devices to automatically intervene when spatial frequency falls below healthy thresholds [8] - The research team has also created an assessment system for environmental refractive uniformity, utilizing advanced imaging technology to evaluate light distribution and visual comfort [8] Group 5: Future Directions and Challenges - The research aims to transition from human-dependent interventions to technology-based solutions, emphasizing the need for standardization of metrics like spatial frequency and refractive uniformity for broader application [9] - The integration of environmental data, genetic information, and AI technology is envisioned to facilitate personalized interventions for myopia risk [9] - Future challenges include standardizing technology, fostering interdisciplinary collaboration, and implementing large-scale public health initiatives to effectively combat myopia [9]