4th June 2012 Nisha Kini Disparities in Heart Attack Knowledge by Gender, Race/Ethnicity, Education Level and Household Income among Maine adults
Introduction Method Results Conclusion
Introduction Method Results Conclusion
Introduction Method Results Conclusion
Introduction Method Results Conclusion
Introduction Method Results Conclusion
Disparities are preventable differences experienced by socially disadvantaged populations defined by factors such as: Gender Race/ Ethnicity Education Income
Individuals having a heart attack are more likely to survive if they or onlookers know the symptoms and call immediately. We examined disparities in knowledge of heart attack symptoms and the need to call by gender, race/ethnicity, education level and household income among Maine adults.
Introduction Method Results Conclusion
Behavioral Risk Factor Surveillance System (BRFSS) Nation-wide survey (50 states, D.C. and territories) Non-institutionalized adults (18+ years of age) Landline telephone
Data Source: Heart Attack and Stroke Module of the 2009 Maine Behavioral Risk Factor Surveillance System (BRFSS). 6 questions related to heart attack symptoms 5 are actual symptoms of heart attack 1 decoy question
Knowledge of Heart Attack Symptom was defined as: Correctly identifying all 6 symptoms of heart attack (5 actual symptoms of heart attack and 1 decoy question) Respondents who said “Don’t know/ Not sure” were considered as incorrect response
We examined differences in knowledge by Gender Race/Ethnicity Education Income Total Respondents = 3,898
Logistic regression to assess disparities Gender Race/Ethnicity Education Income Outcome variable: Knowledge of Heart Attack Symptoms and calling Independent variable: Gender, Race/ Ethnicity, Education and Income Covariate: Age Adjusted for Age
And Gender Race/Ethnicity Outcome variable: Knowledge of Heart Attack Symptoms and calling Independent variable: Gender, Race/ Ethnicity Covariate: Age, Education and Income Analyses were conducted using SAS 9.2 survey procedures. Adjusted for Age, Education and Income
Introduction Method Results Conclusion
Univariate Analyses Bivariate Analyses Multivariate Analyses
Data Source: Maine Behavioral Risk Factor Surveillance System. Adults = ages 18+ years; CHD = Coronary Heart Disease
Data Source: Maine Behavioral Risk Factor Surveillance System Adults = ages 18+ years; CHD = Coronary Heart Disease
Data Source: Maine Behavioral Risk Factor Surveillance System. Adults = ages 18+ years; CHD = Coronary Heart Disease
Data Source: Maine Behavioral Risk Factor Surveillance System. Adults = ages 18+ years; CHD = Coronary Heart Disease
Data Source: 2009 Maine Behavioral Risk Factor Surveillance System (BRFSS) Odds Ratios (ORs) are age-adjusted. HS= High School. Adults= >18 years of age
Data Source: 2009 Maine Behavioral Risk Factor Surveillance System (BRFSS) Odds Ratios (ORs) are age-adjusted. HS= High School. Adults= >18 years of age
Data Source: 2009 Maine Behavioral Risk Factor Surveillance System (BRFSS) Odds Ratios (ORs) are adjusted for age, education and household income Adults= >18 years of age
Non-Hispanic White Non-White/ Hispanic
Non-Hispanic White Non-White/ Hispanic
Non-Hispanic White Non-White/ Hispanic
Non-Hispanic White Non-White/ Hispanic
Introduction Method Results Conclusion
There are significant disparities in heart attack knowledge among Maine adults, with men, non-Whites or Hispanics, those with less than college education, and those with annual household income <$15,000 being less likely to know all heart attack symptoms and the need to call 9-1-1, even after adjusting for age.
Disparities by gender and race/ethnicity persist after adjusting for age, education, and income. Our findings are consistent with findings from other states using BRFSS data
The Maine Cardiovascular Health Program is working with partners on efforts to improve heart attack knowledge. Incorporating intentional outreach to disparate populations into these efforts will help ensure all Mainers have increased knowledge of heart attack symptoms and the need to call 911, which will lead to improved outcomes across the state.
Sara L. Huston Maine Center for Disease Control & Prevention University of Southern Maine Troy Fullmer Maine Center for Disease Control & Prevention Santosh Nazare Maine Center for Disease Control & Prevention University of Southern Maine Alison Green-Parsons Maine Center for Disease Control & Prevention University of Southern Maine
Phone: (207)