Prevalence of Acute Myocardial Infarction and Changing Meteorological Conditions in Iran: Fuzzy Clustering Approach
Yazarlar (11)
Hamid Sharif Nia Mazandaran University Of Medical Sciences, İran
Prof. Dr. Özkan GÖRGÜLÜ Kırşehir Ahi Evran Üniversitesi, Türkiye
Saeed Pahlevan Sharıf Taylor's University Malaysia, Malezya
Erika Sivarajan Froelıcher University Of California, San Francisco, Amerika Birleşik Devletleri
Ali Akbar Haghdoost Modeling İn Health Research Center, Institute For Futures Studies İn Health, Kerman University Of Me, İran
Samad Golshanı Cardiovascular Research Center Mazums, İran
Ameneh Yaghoobzadeh
Tehran University Of Medical Sciences, İran
Tehran University Of Medical Sciences, İran
John Henry Noble Alliance For Human Research Protection, New York, Amerika Birleşik Devletleri
Roghieh Nazarı Mazandaran University Of Medical Sciences, İran
Amir Hossein Goudarzıan Mazandaran University Of Medical Sciences, İran
Farhad Arefınıa Mazandaran University Of Medical Sciences, İran
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | Iranian Journal of Public Health (Q4) | ||
| Dergi ISSN | 2251-6085 Dergi Bilgileri (2020) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 05-2020 |
| Cilt / Sayı / Sayfa | 49 / 5 / 923–930 | DOI | 10.18502/ijph.v49i5.3210 |
| Makale Linki | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7475622/ | ||
| UAK Araştırma Alanları |
Ziraat, Orman ve Su Ürünleri
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| Özet |
| Background The prevalence of Acute Myocardial Infarction (AMI) varies from region to region caused by seasonal climate changes and temperature variation. This study aimed to assess the relationship between changing meteorological conditions and incidence of AMI in Iran. Methods This retrospective prevalence study was based on medical records of the heart center of Mazandaran Province on all patients diagnosed with AMI in Mazandaran, northern Iran between 2013 and 2015. Patients’ sex and the day, month, year and time of hospital admission were extracted from patients’ records. Moreover, the meteorological reports were gathered. Results A statistically significant difference was found between the distributions of AMI cases across 12 months of the year (P < 0.01). Fuzzy clustering analysis using 16 different climatic variables showed that March, April, and May were in the same cluster together. The … |
| Anahtar Kelimeler |
| Acute myocardial infarction | Meteorological parameters | Prevalence | Seasonal changes |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 6 |
| Scopus | 5 |
| Google Scholar | 8 |