Estimating Attributable Mortality of Modifying Selected Risk Factors of Myocardial Infarction

• Published in: Novelty in clinical medicine 2022-01, Vol.1 (1), p.38-43
• Main Authors: Taher Ahangari, Kamran Ebrahimi, Shaker Salari Lak
• Format: Article
• Language: English
• Subjects: modifying risk factors; mortality attributable; myocardial infarction; population attributable fraction
• ISSN: 2783-4492
• DOI: 10.22034/ncm.2022.140807

Background: Cardiovascular diseases are the leading cause of death due to non-communicable diseases and myocardial infarction (MI) is one of the most common causes of death due to cardiovascular diseases worldwide.Objectives: The aim of this study was to estimate the attributable mortality of some modifying risk factors for MI in West Azerbaijan province, Iran.Methods: In this study, to estimate the population attributable fraction and number of attributable deaths; data from the national study of risk factors for non-communicable diseases was used. Effect sizes of risk factors for MI were calculated from international cohort studies, and data on deaths due to MI by sex categories were obtained from the death registration system of West Azerbaijan province, Iran.Results: The most population attributable fraction of modifying risk factors in men was smoking (33.2%) and high blood glucose (27.8%) and in women was high blood glucose (23.3%) and overweight and obesity (22.2%). The most prevalent death due to MI in men was attributed to smoking (895 cases) and in women was attributed to high blood glucose (525 cases).Conclusions: The current findings with an emphasis on proper planning and prioritization of available resources to modify risk factors such as smoking and high blood glucose could have a significant effect on reducing mortality from MI in the West Azerbaijan province, Iran.