Perceived risk for developing stroke among older adults. 2005

Todd S Harwell, and Lynda L Blades, and Carrie S Oser, and Dennis W Dietrich, and Nicholas J Okon, and Daniel V Rodriguez, and Anne M Burnett, and Joseph A Russell, and Martha J Allen, and Crystelle C Fogle, and Steven D Helgerson, and Dorothy Gohdes
Montana Department of Public Health and Human Services, Cogswell Building, C-317, PO Box 202951, Helena, Montana 59620-2951, USA. tharwell@mt.gov

BACKGROUND Persons who perceive their risk for stroke accurately may be more likely to engage in prevention practices to reduce their risk. METHODS In 2004, 800 adults aged 45 years and older in two counties participated in a telephone survey to assess their perceived risk for stroke and their history of stroke risk factors. RESULTS Overall, 39% of respondents perceived themselves to be at risk for having a stroke. In the multivariate analyses, younger age, current smoking, and a history of diabetes, high blood pressure, high cholesterol, heart disease, and stroke/TIA were independently associated with perceived risk for stroke. Respondents with atrial fibrillation were no more likely to report being at risk for stroke compared to respondents without atrial fibrillation. Perceived risk for stroke increased as the number of risk factors increased. However, 46% of respondents with three or more risk factors did not perceive themselves to be at risk. CONCLUSIONS Many adults with multiple risk factors do not perceive themselves to be at risk for stroke. Clinical and public health efforts are needed to increase awareness of the risk for stroke.

UI MeSH Term Description Entries
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D009009 Montana State bounded on the north by Canada, on the east by North Dakota and South Dakota, on the south by Idaho and Wyoming, and on the west by Idaho and Utah.
D003430 Cross-Sectional Studies Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time. Disease Frequency Surveys,Prevalence Studies,Analysis, Cross-Sectional,Cross Sectional Analysis,Cross-Sectional Survey,Surveys, Disease Frequency,Analyses, Cross Sectional,Analyses, Cross-Sectional,Analysis, Cross Sectional,Cross Sectional Analyses,Cross Sectional Studies,Cross Sectional Survey,Cross-Sectional Analyses,Cross-Sectional Analysis,Cross-Sectional Study,Cross-Sectional Surveys,Disease Frequency Survey,Prevalence Study,Studies, Cross-Sectional,Studies, Prevalence,Study, Cross-Sectional,Study, Prevalence,Survey, Cross-Sectional,Survey, Disease Frequency,Surveys, Cross-Sectional
D003625 Data Collection Systematic gathering of data for a particular purpose from various sources, including questionnaires, interviews, observation, existing records, and electronic devices. The process is usually preliminary to statistical analysis of the data. Data Collection Methods,Dual Data Collection,Collection Method, Data,Collection Methods, Data,Collection, Data,Collection, Dual Data,Data Collection Method,Method, Data Collection,Methods, Data Collection
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000368 Aged A person 65 years of age or older. For a person older than 79 years, AGED, 80 AND OVER is available. Elderly
D000369 Aged, 80 and over Persons 80 years of age and older. Oldest Old
D001294 Attitude to Health Public attitudes toward health, disease, and the medical care system. Health Attitude,Attitude, Health,Attitudes, Health,Health Attitudes,Health, Attitude to

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