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- Title
Population Attributable fraction Estimation of the Cardiovascular Diseases- related factors: An Evidence from western part of Iran.
- Authors
Javani, Zhila; Salimi, Yahya; Moradinazar, Mahdi; Najafi, Farid
- Abstract
Introduction: Cardiovascular diseases; Risk factors; population attributable fraction; sequential population attributable fraction; average population attributable fraction population attributable fraction has been widely used in literature to quantify an impact of removing risk factors in occurrence of diseases. This study was designed to estimate the population attributable fraction of prevalent cases of cardiovascular diseases associated with different risk factors. Methods: First, to identify the confounding variables, we did a comprehensive review of the available resources and then presented the relationship between different risk factors with directed acyclic graphs and for any risk factor. Sequential and average adjusted attributable fractions were used. To calculate 95% confidence intervals, the Monte Carlo simulation was conducted . Results: Among the modifiable predictors of cardiovascular diseases, the highest amount of population attributable fraction after adjusting in men were for hypertension 35.7% (95% CI: 30.2, 40.6%), dyslipidemia 12.2% (95% CI: 7.5, 17.6%), and in women were hypertension 42.8% (95% CI: 36.5, 47.3%), general obesity 10.7% (95% CI: 6.2, 15.3%), and for dyslipidemia 9.7% (95% CI: 5.1, 14.5%). Conclusion: Due to the difference in the population attributable fraction of cardiovascular diseases-related factors in men and women, it is advisable to prioritize preventive cardiovascular diseases interventions by sex segregation.
- Subjects
IRAN; CARDIOVASCULAR diseases; CARDIOVASCULAR diseases risk factors; CONFERENCES &; conventions; RISK assessment
- Publication
Journal of Safety Promotion & Injury Prevention, 2019, Vol 7, Issue 3, p86
- ISSN
2345-2455
- Publication type
Article