Effect of Desert Dust Storms and Meteorological Factors on Respiratory Diseases

Details

• Personal Author:
  Akpinar Elçi M ; Al B ; Bayram H ; Bogan M ; Kul S ; Oktay MM ; Pinkerton KE
• Description:
  Climate change is a growing global health concern with extreme meteorological, heat, and drought events resulting in increased risks of wildland fires, hurricanes, floods, and desert dust storms. The average global surface temperature recorded from 2011 to 2020 was 1.09 degrees C higher than in 1850-1900. In Turkey, the increase in average temperature is even more pronounced. The annual temperature in 2020 was 1.4 degrees C above the mean temperature recorded between 1981 and 2010. Studies suggest that annual dust aerosol concentrations have increased worldwide due to increased dust storms. Turkey is in the Eastern Mediterranean basin and is exposed to dust particles originating from the Sahara and Arabian Peninsula, which are two of the largest dust source regions. The southeastern Anatolian provinces including Gaziantep, one of the most heavily polluted cities in Turkey, are close to the Syrian border and face increased frequency of dust storms that originate in the Middle East's deserts and Sahara Desert. For the first time, we investigated the effect of dust storms, daily temperature, and particulate matter with a diameter ≤10 µm (PM10), on mortality, emergency room (ER) visits, and hospitalizations due to asthma, chronic obstructive pulmonary disease (COPD), lower respiratory tract infections (LRTIs), and pulmonary emboli (PE) in Gaziantep, Southeast Turkey. Dust storm, PM10, and climatological records from 1 January 2009 to 31 March 2014 were acquired through local monitoring stations and assessments of satellite photographs. Data on desert dust storms were provided by the Turkish State Meteorological Service (TSMO). Mean aerosol optical depth (AOD) values over land and ocean were used to determine the daily presence and absence of dust storms for the Gaziantep city area. Concurrent records of adult ER visits and hospitalizations due to respiratory diseases were obtained from four hospitals in Gaziantep City. The study population included 646,665 patients with a respiratory disease out of 10,000,000 total admissions reviewed from four hospitals in Gaziantep. In the study population, 22,278 patients were hospitalized, 624,387 were examined and/or treated in the hospital and discharged to their homes. A generalized additive Poisson regression model was designed to investigate the main and lag effects of dust storms, PM10 concentrations, and maximum temperatures on respiratory mortality and morbidity by adjusting for possible confounding factors. Data were presented as adjusted odds ratios (ORs) and 95% confidence intervals (CI). [Description provided by NIOSH]
• Subjects:
  Aerosols Climate Change Dust Occupational Health Particulate Matter Respiratory System Respiratory Tract Diseases Safety Temperature
• Keywords:
  Climate Change Dust Particles Respiratory Diseases Temperature Effects
• ISSN:
  0105-4538
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  California ; Nevada ; OSHA Region 9
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  77
• Issue:
  7
• NIOSHTIC Number:
  nn:20067253
• Citation:
  Allergy 2022 Jul; 77(7):2243-2246
• Contact Point Address:
  Hasan Bayram, Koc University Research Center for Translational Medicine (KUTTAM), Koc University Hospital, Davutpasa cad. No: 4, Topkapi, Zeytinburnu 34010, Istanbul, Turkey
• Email:
  habayram@ku.edu.tr
• Federal Fiscal Year:
  2022
• Performing Organization:
  University of California, Berkeley
• Peer Reviewed:
  False
• Start Date:
  20050701
• Source Full Name:
  Allergy
• End Date:
  20250630
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:fca6ff31ff5e4e49b64eb1c0d60f4cbdcc25ff71edb45fa51119239e0ba9b7d848caaee065a064d575840787fce7be5d16a7f4eca87cb7ae69af051e35e1e343
• Download URL:
  https://stacks.cdc.gov/view/cdc/231368/cdc_231368_DS1.pdf
• File Type:
  [PDF - 616.50 KB ]