Cardiovascular disease risk stratification and comparison in a California population
| Autor: | Darius E. Jatulis, Antonio P. Legorreta, Zihui Lin, Carol A. Zaher, Kwan-Moon Leung, Ying-Ying Meng, Nancy J. Welsh |
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| Rok vydání: | 2002 |
| Předmět: |
Gerontology
education.field_of_study Framingham Risk Score business.industry Population Public Health Environmental and Occupational Health Disease Overweight Logistic regression Environmental health Attributable risk medicine medicine.symptom Risk factor Cardiology and Cardiovascular Medicine education business Risk assessment |
| Zdroj: | Preventive cardiology. 4(1) |
| ISSN: | 1751-7141 |
| Popis: | This study was designed to identify the need for primary prevention of cardiovascular disease in an HMO population and to develop appropriate interventions for individuals in different risk groups, based on risk stratification and comparison. The analysis is based on a cross-sectional survey of the HMO members of a large employer group. Respondents (n=17,878) were stratified based on the Framingham model; 34% of respondents without cardiovascular disease were classified as moderate to high attributable risk for the disease, and 66% were classified as low attributable risk. Results of logistic regression analyses suggest that, compared with respondents with pre-existing cardiovascular disease, moderate- to high-risk respondents are more likely to smoke, have unhealthy diets, and be overweight, hypertensive, and hypercholesterolemic. More low-risk respondents had unhealthy diets than did those with pre-existing cardiovascular disease. There were no differences between these groups for physical activity and stress. Respondents had fewer modifiable risk factors and healthier lifestyles than did those who were at risk. These findings suggest that primary prevention should be enhanced, especially among those with significantly increased risk for the disease. Moreover, the approaches of this project-population-based risk assessment, stratification, and comparison-were instrumental in identifying the target population and designing appropriate interventions. (c) 2001 by CHF, Inc. |
| Databáze: | OpenAIRE |
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