Prevalence of Acute Myocardial Infarction and Changing Meteorological Conditions in Iran: Fuzzy Clustering Approach

  • 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 Sivarajan FROELICHER 1. Department of Physiological Nursing, School of Nursing, University of California San Francisco, San Francisco, California, USA 2. Department of Epidemiology & Biostatistics, School of Medicine, University of California San Francisco, San Francisco, Califor-nia, 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
Meteorological parameters;, Seasonal changes;, Acute myocardial infarction;, Prevalence


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).



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How to Cite
SHARIF NIA H, GORGULU O, PAHLEVAN SHARIF S, FROELICHER E S, HAGHDOOST AA, GOLSHANI S, YAGHOOBZADEH A, NOBLE JH, NAZARI R, GOUDARZIAN AH, AREFINIA F. Prevalence of Acute Myocardial Infarction and Changing Meteorological Conditions in Iran: Fuzzy Clustering Approach. Iran J Public Health. 49(5):923-930.
Original Article(s)