Identification of high-risk patterns of myopia in Chinese students based on four major behavioral risk factors: a latent class analysis
Researchers in this study focused on myopia in Chinese college students, and their study revealed a myopia prevalence of 91.8%. Using latent class analysis, two clusters emerged: high-risk (41.1%) and low-risk (58.9%). The high-risk group exhibited significantly elevated odds of myopia, high myopia, and an axial length/corneal radius ratio >3.0. Contributing behavioral factors in the high-risk class included increased digital screen time, reduced time outdoors, shorter sleep duration, and lower-quality Chinese eye exercises. The study emphasized a person-centered approach, highlighting the need for targeted interventions based on individual risk profiles rather than singular factors. This nuanced understanding of myopia development, considering cluster effects, suggests potential directions for personalized prevention strategies among Chinese college students. The research contributes to bridging the gap in myopia studies, employing latent class analysis to identify high-risk behavioral patterns, and underscores the importance of multifactorial considerations in myopia research for effective prevention and intervention.