Association of Sand Dust Particles with Pulmonary Function and Respiratory Symptoms in Adult Patients with Asthma in Western Japan Using Light Detection and Ranging: A Panel Study

Int J Environ Res Public Health. 2015 Oct 16;12(10):13038-52. doi: 10.3390/ijerph121013038.

Abstract

Light detection and ranging (LIDAR) can estimate daily volumes of sand dust particles from the East Asian desert to Japan. The objective of this study was to investigate the relationship between sand dust particles and pulmonary function, and respiratory symptoms in adult patients with asthma. One hundred thirty-seven patients were included in the study. From March 2013 to May 2013, the patients measured their morning peak expiratory flow (PEF) and kept daily lower respiratory symptom diaries. A linear mixed model was used to estimate the correlation of the median daily levels of sand dust particles, symptoms scores, and PEF. A heavy sand dust day was defined as an hourly concentration of sand dust particles of >0.1 km(-1). By this criterion, there were 8 heavy sand dust days during the study period. Elevated sand dust particles levels were significantly associated with the symptom score (0.04; 95% confidence interval (CI); 0.03, 0.05), and this increase persisted for 5 days. There was no significant association between PEF and heavy dust exposure (0.01 L/min; 95% CI, -0.62, 0.11). The present study found that sand dust particles were significantly associated with worsened lower respiratory tract symptoms in adult patients with asthma, but not with pulmonary function.

Keywords: adult asthma; light detection and ranging; peak expiratory flow; respiratory symptom; sand dust particles.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aerosols / adverse effects
  • Asthma / etiology
  • Asthma / physiopathology*
  • Dust / analysis
  • Female
  • Humans
  • Japan
  • Longitudinal Studies
  • Lung / physiopathology*
  • Male
  • Middle Aged
  • Particulate Matter / adverse effects*
  • Particulate Matter / analysis
  • Peak Expiratory Flow Rate*
  • Silicon Dioxide / adverse effects
  • Silicon Dioxide / analysis

Substances

  • Aerosols
  • Dust
  • Particulate Matter
  • Silicon Dioxide