Weather Fluctuations: Predictive Factors in the Prevalence of Acute Coronary Syndrome

Weather Fluctuations: Predictive Factors in the Prevalence of Acute Coronary Syndrome Publisher

Nia HS¹ ; Chan YH² ; Froelicher ES³ ; Sharif SP⁴ ; Yaghoobzadeh A⁵ ; Jafari A⁶ ; Goudarzian AH⁷ ; Pourkia R⁸ ; Haghdoost AA⁹ ; Arefinia F¹⁰ ; Nazari R¹

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1. Department of Medical-Surgical Nursing, School of Nursing and Midwifery Amol, Mazandaran University of Medical Sciences, Sari, Iran
2. Biostatistics Unit, Yong Loo Lin School of Medicine, National University Health System, Singapore
3. Department of Physiological Nursing, Department of Epidemiology and Biostatistics, University of California San Francisco, CA, United States
4. Taylor's Business School, Taylor's University Malaysia, Subang Jaya, Malaysia
5. Department of Nursing, Tehran University of Medical Sciences, Tehran, Iran
6. Department of Nursing, Mazandaran University of Medical Sciences, Sari, Iran
7. Faculty of Nursing, Student Research Committee, Mazandaran University of Medical Sciences, Sari, Iran
8. Department of Cardiology, Cardiovascular Research Center, Babol University of Medical Sciences, Babol, Iran
9. Modeling in Health Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran
10. School of Nursing and Midwifery Amol, Mazandaran University of Medical Sciences, Sari, Iran

Source: Health Promotion Perspectives Published:2019

Abstract

Background: Meteorological parameters and seasonal changes can play an important role in the occurrence of acute coronary syndrome (ACS). However, there is almost no evidence on a national level to suggest the associations between these variables and ACS in Iran. We aim to identify the meteorological parameters and seasonal changes in relationship to ACS. Methods: This retrospective cross-sectional study was conducted between 03/19/2015 to 03/18/2016 and used documents and records of patients with ACS in Mazandaran Province Heart Center, Iran. The following definitive diagnostic criteria for ACS were used: (1) existence of cardiac enzymes (CK or CK-MB) above the normal range; (2) Greater than 1 mm ST-segment elevation or depression; (3) abnormal Q waves; and (4) manifestation of troponin enzyme in the blood. Data were collected daily, such as temperature (Celsius) changes, wind speed and its direction, rainfall, daily evaporation rate; number of sunny days, and relative humidity were provided by the Meteorological Organization of Iran. Results: A sample of 2,054 patients with ACS were recruited. The results indicated the highest ACS events from March to May. Generally, wind speed (18 PM) [IRR = 1.051 (95% CI: 1.019 to 1.083), P=0.001], daily evaporation [IRR = 1.039 (95% CI: 1.003 to 1.077), P=0.032], daily maximum (P<0.001) and minimum (P=0.003) relative humidity was positively correlated with ACS events. Also, negatively correlated variables were daily relative humidity (18 PM) [IRR = 0.985 (95% CI: 0.978 to 0.992), P<0.001], and daily minimum temperature [IRR = 0.942 (95% CI: 0.927 to 0.958), P<0.001]. Conclusion: Climate changes were found to be significantly associated with ACS; especially from cold weather to hot weather in March, April and May. Further research is needed to fully understand the specific conditions and cold exposures. © 2019 The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License

2. Prevalence of Acute Myocardial Infarction and Changing Meteorological Conditions in Iran: Fuzzy Clustering Approach, Iranian Journal of Public Health (2020)

3. Ambient Temperature and Cardiovascular Mortality: A Systematic Review and Meta-Analysis, PeerJ (2017)

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Style	Citing Format
MLA	Nia HS, et al.. "Weather Fluctuations: Predictive Factors in the Prevalence of Acute Coronary Syndrome." Health Promotion Perspectives, vol. 9, no. 2, 2019, pp. 123-130.
APA	Nia HS, Chan YH, Froelicher ES, Sharif SP, Yaghoobzadeh A, Jafari A, Goudarzian AH, Pourkia R, Haghdoost AA, Arefinia F, Nazari R (2019). Weather Fluctuations: Predictive Factors in the Prevalence of Acute Coronary Syndrome. Health Promotion Perspectives, 9(2), 123-130.
Chicago	Nia HS, Chan YH, Froelicher ES, Sharif SP, Yaghoobzadeh A, Jafari A, Goudarzian AH, et al.. "Weather Fluctuations: Predictive Factors in the Prevalence of Acute Coronary Syndrome." Health Promotion Perspectives 9, no. 2 (2019): 123-130.
Harvard	Nia HS et al. (2019) 'Weather Fluctuations: Predictive Factors in the Prevalence of Acute Coronary Syndrome', Health Promotion Perspectives, 9(2), pp. 123-130.
Vancouver	Nia HS, Chan YH, Froelicher ES, Sharif SP, Yaghoobzadeh A, Jafari A, et al.. Weather Fluctuations: Predictive Factors in the Prevalence of Acute Coronary Syndrome. Health Promotion Perspectives. 2019;9(2):123-130.
BibTex	@article{ author = {Nia HS and Chan YH and Froelicher ES and Sharif SP and Yaghoobzadeh A and Jafari A and Goudarzian AH and Pourkia R and Haghdoost AA and Arefinia F and Nazari R}, title = {Weather Fluctuations: Predictive Factors in the Prevalence of Acute Coronary Syndrome}, journal = {Health Promotion Perspectives}, volume = {9}, number = {2}, pages = {123-130}, year = {2019} }
RIS	TY - JOUR AU - Nia HS AU - Chan YH AU - Froelicher ES AU - Sharif SP AU - Yaghoobzadeh A AU - Jafari A AU - Goudarzian AH AU - Pourkia R AU - Haghdoost AA AU - Arefinia F AU - Nazari R TI - Weather Fluctuations: Predictive Factors in the Prevalence of Acute Coronary Syndrome JO - Health Promotion Perspectives VL - 9 IS - 2 SP - 123 EP - 130 PY - 2019 ER -

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