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(Stroke. 2009;40:1181.)
© 2009 American Heart Association, Inc.
Go Red for Women |
From the Department of Neurology (J.L.D., L.D.M.), The University of Connecticut Health Center, Department of Neurology, Farmington, Conn; and Hartford Hospital (L.D.M.), Stroke Center, Hartford, Conn.
Correspondence to Louise D. McCullough, MD, PhD, The University of Connecticut Health Center, Department of Neurology, 263 Farmington Avenue, Farmington, CT 06030-1840. E-mail lmccullough{at}uchc.edu
Background and Purpose— Women face a higher mortality after stroke and have different risk factors than men. Despite educational campaigns, women continue to underestimate their own risk for stroke. We present a theoretical model to understand risk perception in high-risk women.
Methods— Eight hundred five women, ages 50 to 70 years, were selected from the University of Connecticut Cardiology Center with at least one risk factor for stroke. A 5-part questionnaire addressed stroke knowledge, risk perception, risk factors, access to health care, and demographics. Two hundred fifteen women responded by mail (28% response rate) and deidentified data were entered in SPSS. Descriptive, bivariate, and multivariate techniques assessed the proposed model.
Results— The cohort was predominantly white (91.5%), higher income (33.1% of the population earned >$75 000), and well-educated (28.6% attended graduate or professional school). Only 2 of the 37 (5.4%) women with atrial fibrillation and 11 of the 71 women with heart disease (15.5%) identified their health condition as a risk factor for stroke. Predictors of risk perception included: other womens risk (B=0.336, P<0.001), worrying about stroke (B=0.734, P<0.001), having hypertension (B=0.686, P=0.037), and having diabetes (B=0.893, P=0.004). Only 63.9% of women with atrial fibrillation (n=23) reported taking warfarin.
Conclusions— Women were often unable to identify their health condition as a risk factor for stroke. In addition, many women were not undertaking primary prevention behaviors. Risk perception was low, and high-risk women perceived their risk of stroke to be the same as their peers. Educational strategies must advocate for and target high-risk women.
Key Words: stroke knowledge risk perception stroke warning signs health belief model women and stroke
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