Spatial analysis of myocardial infarction in Iran: National report from the Iranian myocardial infarction registry

Spatial analysis of myocardial infarction in Iran: National report from the Iranian myocardial infarction registry


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نویسندگان: کورش اعتماد , حمید سوری , یداله محرابی , علی احمدی

کلمات کلیدی: Myocardial infarction, spatial epidemiology, spatial analysis

نشریه: J RES MED SCI, 5,20,434 - 439,2015

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کد مقاله 66005533
عنوان فارسی مقاله Spatial analysis of myocardial infarction in Iran: National report from the Iranian myocardial infarction registry
عنوان لاتین مقاله Spatial analysis of myocardial infarction in Iran: National report from the Iranian myocardial infarction registry
نوع مقاله اصیل پژوهشی - Original Article
نحوه ایندکس شدن مقاله Science Sitation Index Expanded -ISI - Web of Science
IF 0.65
عنوان نشریه J RES MED SCI
نوع نشریه داخلی نمایه شده
شماره نشریه 5
دوره 20
صفحه شروع و پایان در نشریه 434 - 439
سال انتشار/ ارائه شمسی 1394
سال انتشار/ارائه میلادی 2015
آدرس لینک مقاله/ همایش در شبکه اینترنت http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4590197/
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آدرس علمی (Affiliation) نویسنده متقاضی Department of Epidemiology, School of Public Health, Safety Promotion and Injury Prevention Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran

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Background: Myocardial infarction (MI) is a leading cause of mortality and morbidity in Iran. No spatial analysis of MI has been conducted to date. The present study was conducted to determine the pattern of MI incidence and to identify the associated factors in Iran by province. Materials and Methods: This study has two parts. One part is prospective and hospital-based, and the other part is an ecological study. In this study, the data of 20,750 new MI cases registered in Iranian Myocardial Infarction Registry in 2012 were used. For spatial analysis in global and local, spatial autocorrelation, Moran's I, Getis-Ord, and logistic regression models were used. Data were analyzed by Stata software and ArcGIS 9.3. Results: Based on autocorrelation coefficient, a specific pattern was observed in the distribution of MI incidence in different provinces (Moran's I: 0.75, P < 0.001). Spatial pattern of incidence was approximately the same in men and women. MI incidence was clustering in six provinces (North Khorasan, Yazd, Kerman, Semnan, Golestan, and Mazandaran). Out of the associated factors with clustered MI in six provinces, temperature, humidity, hypertension, smoking, and body mass index (BMI) could be mentioned. Hypertension, smoking, and BMI contributed to clustering with, respectively, 2.36, 1.31, and 1.31 odds ratio. Conclusion: Addressing the place-based pattern of incidence and clarifying their epidemiologic dimension, including spatial analysis, has not yet been implemented in Iran. Report on MI incidence rate by place and formal borders is useful and is used in the planning and prioritization in different levels of health system.

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نویسنده نفر چندم مقاله
کورش اعتمادچهارم
حمید سوریدوم
یداله محرابیسوم
علی احمدیاول

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10253-39076-1-PB.pdf1394/10/132190482دانلود