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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