Table 3.

Results of multiple linear regression analysis (* p < 0.05, ** p < 0.001).

PHYSICAL HRQOL
Predictors	R	R2	∆R2	B (SE)	B
Step 1	0.446	0.199	0.199 **
Age				0.035 (0.093)	0.012
Education				0.683 (0.160)	0.125 **
Gender				0.385 (0.280)	0.040
Illness				3.937 (0.300)	0.397 **
Noise Sensitivity				−0.693 (0.206)	−0.099 **
Step 2	0.482	0.132	0.033 **
Air pollution Annoyance				−0.579 (0.124)	−0.131 **
Noise Annoyance				−0.507 (0.121)	−0.117 **
Step 3	0.484	0.134	0.002
Air × Noise Annoyance				−0.103 (0.087)	−0.096
PSYCHOLOGICAL HRQOL
Predictors	R	R2	∆R2	B (SE)	B
Step 1	0.305	0.093	0.093 **
Age				0.365 (0.077)	0.155 **
Education				0.658 (0.133)	0.154 **
Gender				0.170 (0.232)	0.023
Illness				1.668 (0.249)	0.215 **
Noise Sensitivity				−0.728 (0.170)	−0.133 **
Step 2	0.339	0.115	0.022 **
Air pollution Annoyance				−0.321 (0.120)	−0.096 *
Noise Annoyance				−0.260 (0.117)	−0.180 *
Step 3	0.341	0.116	0.001
Air × Noise Annoyance				−0.091 (0.081)	−0.117
SOCIAL HRQOL
Predictors	R	R2	∆R2	B (SE)	B
Step 1	0.188	0.035	0.035 **
Age				0.162 (0.055)	0.096
Education				0.367 (0.095)	0.125 **
Gender				0.338 (0.166)	0.066
Illness				0.609 (0.178)	0.114 **
Noise Sensitivity				−0.176 (0.122)	−0.046
Step 2	0.237	0.056	0.021 **
Air pollution Annoyance				−0.186 (0.087)	−0.080 *
Noise Annoyance				−0.207 (0.084)	−0.092 *
Step 3	0.239	0.057	0.001
Air × Noise Annoyance				0.049 (0.057)	0.091
ENVIRONMENTAL QOL
Predictors	R	R2	∆R2	B (SE)	B
Step 1	0.297	0.088	0.088 **
Age				0.606 (0.099)	0.201 **
Education				1.016 (0.171)	0.187 *
Gender				0.699 (0.300)	0.073 *
Illness				1.790 (0.322)	0.180 **
Noise Sensitivity				−0.603 (0.221)	−0.086 *
Step 2	0.410	0.168	0.080 **
Air pollution Annoyance				−0.509 (0.152)	−0.118 **
Noise Annoyance				−0.891 (0.146)	−0.213 **
Step 3	0.413	0.171	0.002
Air × Noise Annoyance				−0.167 (0.102)	−0.167