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Table 3 Individual associations between health variables and APP/NO2 1.

From: A comparison of self reported air pollution problems and GIS-modeled levels of air pollution in people with and without chronic diseases

  Logistic regression analysis
Dependent variable: APP. OR (95% CI) and p-values.
OLS regression analysis
Dependent variable: NO2. Standardized Beta Coefficients (sig.).
Variables a) Initial model2 b) Full model3 Full model
Asthma 1.51 (1.30 – 1.76) p = 0.000 1.31 (1.12 – 1.55) p = 0.001 -.012 (.154)
COPD 1.80 (1.48 – 2.21) p = 0.000 1.50 (1.21 – 1.85) p = 0.000 .007 (.392)
CHD 1.43 (1.20 – 1.70) p = 0.000 1.17 (0.98 – 1.41) p = 0.082 -.005 (.513)
Diabetes 1.01 (0.73 – 1.38) p = 0.940 1.03 (0.74 – 1.43) p = 0.831 -.005 (.508)
Fibromyalgia 1.45 (1.19 – 1.77) p = 0.000 1.24 (1.01 – 1.53) p = 0.038 -.015 (.068)
Osteoporosis 1.40 (1.08 – 1.82) p = 0.010 1.27 (0.97 – 1.68) p = 0.080 -.005 (.551)
Poor self rated health (SRH) 1.42 (1.26 – 1.59) p = 0.000 1.19 (1.04 – 1.35) p = 0.008 -.016 (.057)
  1. 1Adjusted for all variables in table 2. Each health variable entered separately in the model. The associations reported in the model are not adjusted for the other health variables.
  2. 2The variables included in the initial model were: age, sex, employment status, education, smoking, area deprivation, season of examination, and NO2.
  3. 3The variables included in the full model were: all variables in the initial model and self reported pollution due to wood or oil heating, factory etc., dwelling damp, draughts or cold, poor indoor climate and depression.