Tehran University of Medical Sciences Iranian Journal of Public Health 2251-6085 49 5 2020 05 01 923 930 EN Hamid SHARIF NIA Department of Nursing, Amol School of Nursing and Midwifery, Mazandaran University of Medical Sciences, Sari, Iran Ozkan GORGULU Department of Biostatistics and Medical Informatics, Faculty of Medicine, Ahi Evran University, Kırşehir, Turkey Saeed PAHLEVAN SHARIF Taylor’s Business School, Taylor’s University Malaysia, Subang Jaya, Malaysia Erika FROELICHER Department of Physiological Nursing, School of Nursing, University of California San Francisco, San Francis-co, California, USA AND Department of Epidemiology & Biostatistics, School of Medicine, University of California San Francisco, San Francisco, California, USA Ali Akbar HAGHDOOST Research Center for Modeling in Health, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran Samad GOLSHANI Department of Cardiology, Cardiovascular Research Center, Mazandaran University of Medical Sciences, Sari, Iran Ameneh YAGHOOBZADEH Department of Nursing, School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran John Henry NOBLE Board of Directors Alliance for Human Research Protection (AHRP), New York, NY, USA Roghieh NAZARI Department of Nursing, Amol School of Nursing and Midwifery, Mazandaran University of Medical Sciences, Sari, Iran Amir Hossein GOUDARZIAN Student Research Committee, Mazandaran University of Medical Sciences, Sari, Iran Farhad AREFINIA Amol School of Nursing and Midwifery, Mazandaran University of Medical Sciences, Sari, Iran 2018 03 12 2018 08 04 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 other 9 months were in different clusters. Conclusion: Significant increase in AMI was seen in March, April and May (cold to hot weather). https://ijph.tums.ac.ir/index.php/ijph/article/view/12769 https://ijph.tums.ac.ir/index.php/ijph/article/download/12769/6914