Tehran University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share this content! On (X network) By
Prevalence of Acute Myocardial Infarction and Changing Meteorological Conditions in Iran: Fuzzy Clustering Approach Publisher



Sharif Nia H1 ; Gorgulu O2 ; Pahlevan Sharif S3 ; Froelicher ES4, 5 ; Haghdoost AA6 ; Golshani S7 ; Yaghoobzadeh A8 ; Noble JH9 ; Nazari R1 ; Goudarzian AH10 ; Arefinia F11
Authors
Show Affiliations
Authors Affiliations
  1. 1. Department of Nursing, Amol School of Nursing and Midwifery, Mazandaran University of Medical Sciences, Sari, Iran
  2. 2. Department of Biostatistics and Medical Informatics, Faculty of Medicine, Ahi Evran University, Kirsehir, Turkey
  3. 3. Taylor’s Business School, Taylor’s University Malaysia, Subang Jaya, Malaysia
  4. 4. Department of Physiological Nursing, School of Nursing, University of California San Francisco, San Francisco, CA, United States
  5. 5. Department of Epidemiology & Biostatistics, School of Medicine, University of California San Francisco, San Francisco, CA, United States
  6. 6. Research Center for Modeling in Health, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran
  7. 7. Department of Cardiology, Cardiovascular Research Center, Mazandaran University of Medical Sciences, Sari, Iran
  8. 8. Department of Nursing, School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran
  9. 9. Board of Directors Alliance for Human Research Protection (AHRP), New York, NY, United States
  10. 10. Student Research Committee, Mazandaran University of Medical Sciences, Sari, Iran
  11. 11. Amol School of Nursing and Midwifery, Mazandaran University of Medical Sciences, Sari, Iran

Source: Iranian Journal of Public Health Published:2020


Abstract

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). © 2020, Iranian Journal of Public Health. All rights reserved.
Related Docs
1. A Time-Series Prediction Model of Acute Myocardial Infarction in Northern of Iran: The Risk of Climate Change and Religious Mourning, BMC Cardiovascular Disorders (2021)
2. Weather Fluctuations: Predictive Factors in the Prevalence of Acute Coronary Syndrome, Health Promotion Perspectives (2019)
Experts (# of related papers)
Fatemeh Khoshnavay Fomani (1)