Objective : The purpose of this study was to investigate the factors influencing stroke in community-dwelling adults. Methods : This study used raw data from the community health survey in 2016. Among the 228,452 subjects who participated in the survey, 225,003 (98.5%) of them were included in the analysis of this study. The sociodemographic characteristics were selected as gender, age, region, income, marital status, and comorbidity was selected as osteoporosis, hypertension, diabetes, dyslipidemia, myocardial infarction and arthritis. Health-related quality of life was assessed by EuroQol-5 Dimension(EQ-5D) and the subcategory of EQ-5D (mobility, self-care, usual activities, pain/discomfort, anxiety/depression) were included in the analysis. Dependent variables were stroke, and the independent variables were the 16 variables described above. Statistical analysis was performed using binomial logistic regression analysis. Results : In sociodemographic variables, stroke was predicted by men, aging, and lower income levels. In comorbidity variables, stroke was predicted by hypertension, diabetes mellitus, hyperlipidemia, and myocardial infarction. In sub-domains of health-related quality of life, stroke was predicted by self-care, usual activities, mobility, anxiety/depression, and pain/discomfort. Conclusion : These finding suggest that it is needed development of a customized health promotion program for the improvement of self-care and activities of daily living in community-dwelling stroke survivors.