Abstract P714: Knowledge of Stroke Warning Signs and Risk Factors in Minnesota Adults

Abstract

Background: Global Burden of Disease identified stroke as the second leading cause of death worldwide after ischemic heart disease. Many stroke risk factors are preventable with lifestyle changes. A better understanding of the relationship between demographics and knowledge of stroke risk factors and warning signs may help in identifying target populations for preventative stroke education. Purpose: This study aimed to explore 1)knowledge of stroke risk factors and warning signs among Minnesota adults, 2)association between knowledge of risk factors and presence of risk factors and 3)association between the knowledge of warning signs and family history of stroke. Methods: A cross-sectional survey of 207 consenting adults who completed open-ended questionnaires on identifying stroke risk factors and warning signs per American Stroke Association (ASA) was used. Self-reported demographics, medical/family history and lifestyle behaviors data were combined with measured height, weight and blood pressure to provide an individual stroke risk score per the ASA Stroke Risk Score. Results: Most participants(90.3%) correctly identified at least one stroke warning sign, but <1% identified all warning signs (FAST+Walking+Vision). 58.9% identified ≥3 stroke risk factors while only 2.4% identified 6 risk factors. Of the highest ranked stroke risk factors(hypertension, smoking, diabetes, diet, obesity, exercise, age, gender, atrial fibrillation), hypertension and obesity were the most named, correctly identified by 64.3% and 53.1% respectively. Females were slightly more knowledgeable of risk factors(63.9% females vs. 51.8% males) and warning signs(62.3% females vs. 58.8% males). No statistically significant associations were observed between knowledge of risk factors and presence of them, or between family history of stroke and knowledge of stroke warning signs. Conclusion: The findings of this study identified the need for public education of stroke risk factors and warning signs as a critical first step in behavior change. Gender differences in knowledge was slightly different. Other demographic differences was not identified due to study sample homogeneity. Additional efforts should be made to increase sample diversity in future studies.