. 2015 Jul 25;8(1):32–40. doi: 10.4168/aair.2016.8.1.32

Table 4. Results of ordinary least square regression model for each disease (N=424).

		Atopic dermatitis			Asthma			Allergic rhinitis
		Model 1	Model 2	Model 3	Model 1	Model 2	Model 3	Model 1	Model 2	Model 3
PM10 pollution	PM10 observed at the district level (µg/m³)	0.012^‡			-0.010^†			0.006
PM10 pollution	PM10 interpolated at the sub-district level		0.052^‡	0.051^‡		-0.061^‡	-0.022		0.006	0.006
Weather factors	Temperature (annual average)	0.002	-0.015	-0.036*	-0.043^†	-0.019	-0.011	0.010	0.011	-0.009
	Wind speed (annual average)	-0.169^‡	-0.146^‡	-0.078^*	0.061	0.036	0.036	-0.184^‡	-0.180^‡	-0.103^†
	Precipitation (annual average)	-0.0006	-0.0002	0.0002	-0.0015	-0.0021^†	-0.0012	0.0008	0.0008	0.0013^*
Socioeconomic factors	Log of average land value (KRW/m³)			0.016			-0.044			0.002
	% households relying on welfare subsidy			-0.025^‡			-0.006			-0.016^‡
	% household heads with college education			-0.002			-0.005^‡			-0.001
	Apartment rate (%)			0.002^‡			0.002^‡			0.002^‡
	Population density (person/m²)			-1.168			0.967			-0.594
	Log of number of clinics and hospitals within the sub-district			0.024^*			0.004			0.023
Model fit	Constant	5.18^‡	3.42^‡	3.30^‡	7.14^‡	9.36^‡	8.05^‡	6.70^‡	6.68^‡	6.56^‡
Model fit	Adjusted R square	0.05	0.06	0.21	0.02	0.04	0.11	0.04	0.04	0.17

^*P<0.1; ^†P<0.05; ^‡P<0.01.