Abstract: Objective To explore the potential categorization of self-acceptance in semi-disabled patients with stroke and to analyze the influencing factors. Methods Convenience sampling was used to select 308 semi-disabled patients with stroke from the departments of neurology and neurorehabilitation in two tertiary grade-A hospitals in Zhengzhou City, and they were surveyed using the general information questionnaire, the Self-Acceptance Questionnaire, the Chinese version of the Event-Related Rumination Questionnaire, and the Chronic Disease Self-Efficacy Scale. Potential categories of patients' self-acceptance were analyzed using potential profile analysis, and the influencing factors of different categories were analyzed using unordered multicategorical logistic regression analysis. Results Self-acceptance of semi-disabled patients with stroke was categorized into 3 categories: low acceptance-low self-assessment group (27.9%), medium acceptance-moderate self-assessment group (43.8%) & high acceptance-rational self-assessment group (28.3%). Unordered multicategorical logistic regression analysis showed that age, education background, per capita monthly household income, number of symptoms, intrusive contemplation, purposeful contemplation, and chronic disease self-efficacy were influencing factors in the classification of potential profiles of self-acceptance in semi-disabled patients with stroke (P<0.05). Conclusion There are 3 potential categories of self-acceptance in semi-disabled patients with stroke. Medical staff should focus on semi-disabled stroke patients aged 18~45 years, with education background of junior high school or lower, lower per capita monthly household income, and experiencing three or more symptoms. Intervention measures such as reducing patients' invasive rumination, enhancing purposeful rumination and self-efficacy should be considered to improve their level of self-acceptance.

Key words: stroke, semi-disabled, self-acceptance, latent profile analysis