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Table 2 Final multivariable model for reporting of industrial odour pollution above and below the median, estimated from 3386 observations.

From: Potential sources of bias in the use of individual's recall of the frequency of exposure to air pollution for use in exposure assessment in epidemiological studies: a cross-sectional survey

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

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