ABSTRACT

Objective: The purpose of this study was to examine the correlation between cognitive factors and participation according to the ICF core-set in patients hospitalized for stroke, and to analyze the cognitive factors affecting participation. Methods: The independent variable in this study was the cognitive factor of stroke patients, and in detail, the level of consciousness, orientation, memory, attention, language, construction, calculation, reasoning, and executive function were designated as the independent variables. Among them, orientation, memory, attention, language, construction, calculation, and reasoning were evaluated by the Korean Neurobehavior Cognitive Status Examination (K-NCSE), and executive function was Kims Frontal-Executive Function Neuropsychological Test II (K-FENT II) was used. As for the dependent variable, two dependent variables (daily activity and social role) were designated as the participation, and the Korean version of Life-Habits assessment 3.1 (Korean version LIFE-H 3.1) was used to divide it into daily activity and social role. For statistical analysis, correlation analysis and multiple regression analysis were used through SPSS 25.0. Results: All cognitive factors were statistically significant in correlation with participation. Correlations between cognitive factors and daily activities in stroke patients were found in the language (r = .527, p < .001), executive function (r = .488, p < .001), and calculation (r = .477, p < .001), and social roles were in the language (r = .481, p < .001), memory (r = .480, p < .001), and attention (r = .460, p < .001) in that order. As a result of multiple regression analysis, daily activities were in the language (t = 4.00, p < .001) and construction (t = 2.85, p < .01), and social roles were in the language (t = 2.36, p < .05).) and memory (t = 2.35, p < .05) were statistically significant. Conclusion: Through this study, various cognitive factors affecting the participation of stroke patients could be identified. Therefore, the results of this study can be used as basic data for predicting each cognitive factor to improve the participation of stroke patients and establishing a more accurate intervention plan.