Table 2.

Final multivariable model for reporting of industrial odour pollution above and below the median, estimated from 3386 observations.

Variable		Reduced reporting of industrial pollution		Increased reporting of industrial pollution		P value
		Odds Ratios	(95% CIs)	Odds Ratios	(95% CIs)
Presence of person in home with respiratory symptoms	No	1		1		<0.001
	Yes	0.749	0.612 – 0.916	1.532	1.278 – 1.835
Believes industrial pollution is harming their health	No	1		1		<0.001
	Don't know	1.413	1.131 – 1.765	2.107	1.597 – 2.781
	Yes	1.061	0.822 – 1.370	6.086	4.622 – 8.013
Occupational class	1	1		1		<0.001
	2	1.638	1.072 – 2.502	1.424	1.015 – 1.999
	3NM	3.248	2.102 – 5.019	1.828	1.261 – 2.650
	3M	2.776	1.837 – 4.196	1.625	1.157 – 2.283
	4	4.367	2.836 – 6.725	1.501	1.028 – 2.191
	5	3.075	1.675 – 5.646	1.516	0.847 – 2.715
	Undetermined	3.324	2.214 – 4.990	1.247	0.873 – 1.780
Ownership of home	Own home	1				0.002
	Rented	1.484	1.182 – 1.863	1.060	0.833 – 1.348
Current smoker in house	No	1		1		0.071
	Yes	0.807	0.668 – 0.974	0.967	0.801 – 1.166
Reports noise from neighbours	No	1		1		<0.001
	Yes	1.123	0.876 – 1.438	1.621	1.304 – 2.017
Reports other people's smoke	No	1		1		<0.001
	Yes	0.598	0.436 – 0.821	1.779	1.407 – 2.250
Has double glazing	No windows	1				0.070
	Some windows	0.746	0.566 – 0.982	0.776	0.595 – 1.013
	All windows	0.993	0.802 – 1.230	1.035	0.836 – 1.281