Research Article

Relationship between Particulate Matter (PM10) and Airway Inflammation Measured with Exhaled Nitric Oxide Test in Seoul, Korea

Table 3

Correlation analysis of PM10 and FeNO by the Pearson correlation and multivariate linear regression analysis according to subgroup.

SubgroupNumber of eventsFeNO (ppb)PM10 ( μg/m3)UnivariateMultivariate
Correlation coefficient valueB value

History of respiratory disease
 Asthma36752.3 ± 43.848.0 ± 25.70.1040.0470.0930.072
 Allergic rhinitis24244.1 ± 37.047.8 ± 24.90.0910.1600.0960.128
 Chronic obstructive pulmonary disease4833.9 ± 44.847.9 ± 22.7−0.0360.807−0.0580.708
 No history of respiratory disease71523.2 ± 19.847.5 ± 25.70.0810.0300.0830.024

Pulmonary-related medication before the visit
 Pulmonary medication30936.3 ± 29.546.7 ± 21.2−0.050.9260.0130.814
 No pulmonary medication126530.8 ± 31.147.5 ± 26.10.0700.0120.0530.035

PM10, particulate matter with a diameter of less than 10 μm; FeNO, fractional exhaled nitric oxide. B is the regression coefficient, and the positive sign of regression coefficient means that the variables are positively associated. PM10 values were based on two days before the hospital visit. Numbers are presented as mean ± standard deviation. Multivariate linear regression analysis is adjusted for age, sex, pulmonary-related medication before the visit (antihistamine, intranasal corticosteroids, inhaled corticosteroids, and leukotriene receptor antagonist), humidity, and temperature. Multivariate linear regression analysis is adjusted for age, sex, previous history of respiratory disease (asthma, allergic rhinitis, and chronic obstructive pulmonary disease), humidity, and temperature.