Table 6—

Area-level socio-economic status (SES) predictors of health status: multiple linear regression analyses with and without individual SES variables

Health outcomes^#	Subjects n	Multiple logistic regression models^¶
		Area-level SES only					Area-level and individual SES
		R²	Factor 1		Factor 2		R²	Factor 1		Factor 2
		R²	β±se	p-value	β±se	p-value	R²	β±se	p-value	β±se	p-value
Asthma or rhinitis
SF-12 PCS	404	0.04	−2.28±0.53	<0.0001	0.84±0.53	0.11	0.22	−1.36±0.55	0.01	0.79±0.50	0.12
Severity of asthma score	404	0.01	0.61±0.27	0.02	−0.13±0.27	0.62	0.13	0.21±0.29	0.46	−0.13±0.26	0.62
FEV₁ % pred	218	0.03	−0.35±1.12	0.76	−3.59±1.17	0.002	0.03	0.21±1.28	0.87	−2.95±1.24	0.02
Asthma alone
SF-12 PCS	341	0.05	−2.28±0.59	0.0001	1.16±0.59	0.05	0.22	−1.40±0.61	0.02	1.04±0.56	0.06
Severity of asthma score	341	0.01	0.63±0.29	0.03	−0.31±0.29	0.27	0.14	0.31±0.30	0.30	−0.33±0.28	0.24
FEV₁ % pred	186	0.03	−0.44±1.22	0.72	−3.41±1.30	0.01	0.04	−0.13±1.37	0.92	−2.62±1.37	0.06
Asthma QoL score⁺	340	0.06	3.83±0.78	<0.0001	−0.24±0.78	0.76	0.23	2.58±0.80	0.001	−0.06±0.73	0.94

SF-12 PCS: Short Form-12 Physical Component Scale; FEV₁: forced expiratory volume in one second; % pred: % predicted; QoL: quality of life. ^#: a higher SF-12 PCS equates with a better health status, a higher severity of asthma score and asthma QoL score equate with poorer status; ^¶: reported R² is adjusted to take into account number of predictors in model, models with individual SES include all of the variables listed in table 5⇑; ⁺: one asthma subject with missing data for QoL score.