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Table 5 Prevalence of self-reported current rhinoconjunctivitis along with crude and adjusted odd ratios

From: Allergic rhinitis, rhinoconjunctivitis and hayfever symptoms among children are associated with frequency of truck traffic near residences: a cross sectional study

Variable Totala Allergic rhino-conjunctivitis (%) Crude OR (95 % CI) P Adjusted OR (95 % CI)b P
Mode of transport to school
Walk 1728 20.7 1   1  
Taxi/Bus 708 22.3 1.09 (0.88–1.35) 0.387 1.06 (0.84–1.33) 0.615
Motor car 683 24.6 1.25 (1.01–1.54) 0.033 1.19 (0.87–1.62) 0.260
Combination 201 26.4 1.53 (1.10–2.12) 0.011 1.44 (0.98–2.11) 0.054
Other 100 27.0 1.46 (0.92–2.30) 0.105 1.57 (0.96–2.57) 0.068
Frequency of trucks passing near homes on weekdays
Never 563 18.8 1   1  
Seldom 1033 23.0 1.23 (0.95–1.59) 0.113 1.17 (0.89–1.54) 0.234
Frequently through the day 580 19.0 1.01 (0.75–1.37) 0.904 0.96 (0.70–1.30) 0.799
Almost all day 1212 25.7 1.54 (1.20–1.97) 0.001 1.42 (1.09–1.84) 0.008
Sex
Female 1790 25.8 1   1  
Male 1634 18.9 0.67 (0.57–0.79) 0.000 0.68 (0.57–0.81) 0.000
Being born in Tembisa/Kempton park areas
No 1609 20.7 1   1  
Yes 1812 24.0 1.27 (1.07–1.50) 0.004 1.22 (1.02–1.45) 0.024
Vigorous physical activity
Never or occasionally 984 18.4 1   1  
Once or twice per week 1417 24.8 1.45 (1.19–1.78) 0.000 1.42 (1.16–1.76) 0.001
3 or more times per week 983 23.3 1.33 (1.06–1.65) 0.011 1.34 (1.06–1.68) 0.012
Hours watching TV during normal week
Less than 1 h 532 19.6    1  
1 h but less than 3 h 835 19.8 0.97 (0.74–1.28) 0.873 0.93 (0.69–1.24) 0.622
3 h but less than 5 h 827 23.1 1.20 (0.91–1.57) 0.180 1.15 (0.87–1.53) 0.313
5 h or more 1213 25.1 1.37 (1.07–1.77) 0.012 1.37 (1.06–1.78) 0.016
Residential heating fuel type most frequently used
Electricity 2041 21.5 1   1  
Gas 426 29.3 1.50 (1.18–1.89) 0.001 1.45 (1.14–1.85) 0.002
Paraffin 631 20.1 0.96 (0.76–1.22) 0.760 0.95 (0.75–1.22) 0.739
Open fires (wood, coal) 270 24.1 1.18 (0.87–1.59 0.276 1.18 (0.86–1.61) 0.291
  1. aTotals for each risk factor are different due to difference in missing values
  2. bModel adjusted for all the variables in this table