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Air pollution and hospital admissions for cardiorespiratory diseases in Iran: artificial neural network versus conditional logistic regression

  • M. Shakerkhatibi
  • I. Dianat
  • M. Asghari Jafarabadi
  • R. Azak
  • A. Kousha
Original Paper

Abstract

This study was conducted to evaluate the relationship between air pollutants (including nitrogen oxides [NO, NO2, NOX], sulfur dioxide [SO2], carbon monoxide [CO], ozone [O3], and particulate matter of median aerometric diameter <10 μm [PM10]) and hospital admissions for cardiovascular and respiratory diseases. The study had a case–crossover design which was conducted in Tabriz, Iran. Daily hospital admissions and air quality data from March 2009 to March 2011 were analyzed using the artificial neural networks (ANNs) and conditional logistic regression modeling. The results showed significant associations between gaseous air pollutants including NO2, O3, and NO and hospital admissions for cardiovascular disease. Gaseous air pollutants of NO2, NO, and CO were associated with hospital admissions for chronic obstructive pulmonary disease, while PM10 was associated with hospitalizations due to respiratory infections. PM10 and O3 were also associated with asthmatic hospital admissions. There was no significant association between SO2 and studied health outcomes. Comparing the results of logistic regressions and ANNs confirmed the optimality of the ANNs for detection of the best predictors of hospital admissions caused by air pollution. Further research is required to investigate the effects of seasonal variations on air pollution-related health outcomes.

Keywords

Case–crossover analysis Cardiorespiratory health effects Hospital admissions Air pollution 

Notes

Acknowledgments

The authors acknowledge the help and support provided by the East Azerbaijan Environmental Office and the East Azerbaijan Bureau of Meteorology for supplying air data and also the hospitals including Ali Nasab, Amir Almomenin, Imam Reza, Madani, and Tabriz Children’s Hospital for supplying health data. There was no funding for this study. The authors also confirm that there is no competing interest for this research. The local ethical review committee of the Tabriz University of Medical Sciences approved the study (Ethical No. 8509).

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Copyright information

© Islamic Azad University (IAU) 2015

Authors and Affiliations

  • M. Shakerkhatibi
    • 1
  • I. Dianat
    • 2
  • M. Asghari Jafarabadi
    • 3
  • R. Azak
    • 4
  • A. Kousha
    • 5
  1. 1.Department of Environmental Health Engineering, Faculty of Health SciencesTabriz University of Medical SciencesTabrizIran
  2. 2.Department of Occupational Health, Faculty of Health SciencesTabriz University of Medical SciencesTabrizIran
  3. 3.Road Traffic Injury Research Center, Department of Biostatistics and Epidemiology, Faculty of Health SciencesTabriz University of Medical SciencesTabrizIran
  4. 4.Student Research CommitteeTabriz University of Medical SciencesTabrizIran
  5. 5.Department of Health Education and Promotion, Faculty of Health SciencesTabriz University of Medical SciencesTabrizIran

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