Association between pulmonary function and daily levels of sand dust particles assessed by light detection and ranging in schoolchildren in western Japan: A panel study

  • Watanabe Masanari
    Department of Respiratory Medicine and Rheumatology, Tottori University Faculty of Medicine
  • Noma Hisashi
    Department of Data Science, The Institute of Statistical Mathematics
  • Kurai Jun
    Department of Respiratory Medicine and Rheumatology, Tottori University Faculty of Medicine
  • Kato Kazuhiro
    Department of Respiratory Medicine, San-in Rosai Hospital
  • Sano Hiroyuki
    Department of Respiratory Medicine and Allergology, Kinki University Faculty of Medicine
  • Tatsukawa Toshiyuki
    Department of Respiratory Medicine, Matsue City Hospital
  • Nakazaki Hirofumi
    Department of Respiratory Medicine, Matsue Red Cross Hospital
  • Yamasaki Akira
    Department of Respiratory Medicine and Rheumatology, Tottori University Faculty of Medicine
  • Shimizu Eiji
    Department of Respiratory Medicine and Rheumatology, Tottori University Faculty of Medicine

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Background: An important aspect of sand dust emissions in association with respiratory disorders is the quantity of particulate matter. This is usually expressed as particulate matter less than 10 mm (PM10) and 2.5 mm (PM2.5). However, the composition of PM10 and PM2.5 varies. Light detection and ranging is used to monitor sand dust particles originating in East Asian deserts and distinguish them from air pollution aerosols. The objective of this study was to investigate the association between the daily levels of sand dust particles and pulmonary function in schoolchildren in western Japan. Methods: In this panel study, the peak expiratory flow (PEF) of 399 schoolchildren was measured daily from April to May 2012. A linear mixed model was used to estimate the association of PEF with the daily levels of sand dust particles, suspended particulate matter (SPM), and PM2.5. Results: There was no association between the daily level of sand dust particles and air pollution aerosols, while both sand dust particles and air pollution aerosols had a significant association with SPM and PM2.5. An increment of 0.018 km1 in sand dust particles was significantly associated with a decrease in PEF (3.62 L/min; 95% confidence interval, 4.66 to 2.59). An increase of 14.0 mg/m3 in SPM and 10.7 mg/m3 in PM2.5 led to a significant decrease of 2.16 L/min (2.88 to 1.43) and 2.58 L/min (3.59 to 1.57), respectively, in PEF. Conclusions: These results suggest that exposure to sand dust emission may relate to pulmonary dysfunction in children in East Asia.

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