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KMID : 0603920220300010001
Journal of Korean Academy of Occupational Therapy
2022 Volume.30 No. 1 p.1 ~ p.13
Analysis of Cognitive Component Elements Affecting Participation in Stroke
Shin Chi-Hwan

Yoo Eun-Young
Abstract
Objective: The purpose of this study was to examine the correlation between cognitive factors and participationaccording to the ICF core-set in patients hospitalized for stroke, and to analyze the cognitive factors affectingparticipation.

Methods: The independent variable in this study was the cognitive factor of stroke patients, and in detail, the levelof consciousness, orientation, memory, attention, language, construction, calculation, reasoning, and executivefunction 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-FENTII) was used. As for the dependent variable, two dependent variables (daily activity and social role) weredesignated as the participation, and the Korean version of Life-Habits assessment 3.1 (Korean version LIFE-H3.1) was used to divide it into daily activity and social role. For statistical analysis, correlation analysis andmultiple regression analysis were used through SPSS 25.0.

Results: All cognitive factors were statistically significant in correlation with participation. Correlations betweencognitive factors and daily activities in stroke patients were found in the language (r = .527, p < .001), executivefunction (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 ofmultiple 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) werestatistically significant.

Conclusion: Through this study, various cognitive factors affecting the participation of stroke patients could beidentified. Therefore, the results of this study can be used as basic data for predicting each cognitive factor toimprove the participation of stroke patients and establishing a more accurate intervention plan.
KEYWORD
Stroke, Correlation, Factor, Cognition, Occupational Therapy, Participation, Regression analysis, ICF
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