Objective: To explore and analyze the latent profiles of glaucoma patient activation and their associated factors,
providing empirical evidence for developing precise clinical intervention strategies. Methods: A cross-sectional survey
was conducted, involving 202 glaucoma patients recruited from Zhongshan Ophthalmic Center, Sun Yat-sen University,
between July and October 2024. The study utilized the General Information Questionnaire, the Patient Activation
Measure, the General Self-Efffcacy Scale, and the Perceived Social Support Scale. Latent proffle analysis was performed
using Mplus 8.3 software to identify distinct profiles of patient activation, and a multivariate regression model was
employed to explore the sociodemographic, disease-related, and psychosocial factors associated with different proffles. Results: TTe patient activation in glaucoma patients was categorized into two latent proffles: "High Activation–Active
Adaptation Type" (33.66%) and "Low Activation–Coping Dependent Type" (66.34%). Multivariate analysis revealed
that patients who were urban residents, had higher monthly income, presented with advanced visual field defects,
underwent three or more surgeries, reported higher general self-efffcacy, and had better perceived social support were
more likely to belong to the "High Activation–Active Adaptation Type" (P<0.05). Conclusions: TTe overall level of
patient activation in glaucoma patients is moderate to low, predominantly characterized by the "Low Activation–Coping
Dependent Type." TTis suggests that healthcare professionals should prioritize the assessment of patient activation in
glaucoma care. Based on the identiffed latent proffles and their associated factors, personalized and targeted intervention
strategies—such as enhancing self-efffcacy, expanding social support, and strengthening health education—should be
developed for different patient subtypes. TTese efforts are essential to effectively improve patient activation levels and
disease self-management capabilities, thereby enhancing long-term treatment adherence and quality of life.