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Table 3 Characteristics of new bicycle path users and factors associated with new users

From: Use of and short-term impacts of new cycling infrastructure in inner-Sydney, Australia: a quasi-experimental design

  % Odds Ratio (95 % CI) Adjusted Odds Ratio 95 % CIa P value
Proportion had used cycleway (n = 75) 14.7    
Age
 18–24 15.5 1.0 1.0  
 25–34 20.9 1.44 (0.62–3.36) 0.54 (0.18–1.57) 0.890
 35–44 18.4 1.23 (0.53–2.85) 0.73 (0.25–2.15) 0.953
 45–55 9.6 0.58 (0.25–1.34) 0.42 (0.14–1.24) 0.192
Sex
 Female 13.9 1.0 1.0  
 Male 16.3 1.21 (0.74–1.99) 0.64 (0.34–1.21) 0.306
Education
 Less than tertiary 13.0 1.0 1.0  
 Tertiary or higher 15.5 1.23 (0.69–2.20) 0.83 (0.39–1.77) 0.908
Income
 Less than $80 K (AUS) 13.2 1.0 1.0  
 $80 K or more 17.0 1.34 (0.75–2.39) 1.26 (0.63–2.54) 0.551
Weekly cycling frequency
 Less than weekly   1.0 1.0  
 At least weekly   7.44 (4.41–12.56) 7.50 (3.93–14.31) <0.001
Cyclist type
 Low intensity recreational 7.0 1.0 1.0  
 High intensity recreational 30.3 5.79 (2.45–13.68) 4.38 (1.53–12.59) 0.026
 Low intensity transport 25.4 4.54 (2.50–8.22) 2.42 (1.17–5.04) 0.032
 High intensity transport 31.0 5.97 (2.72–13.09) 2.40 (0.90–6.44) 0.598
Distance from bicycle path in 500 mb   1.21 (1.12–1.31) 1.24 (1.13–1.37) <0.001
Distance from bicycle path in 100 mb   1.04 (1.02–1.05) 1.04 (1.02–1.06) <0.001
  1. aAdjusted for all other variables in the model
  2. bOne or the other included in the model at one time
  3. Bold text highlights statistically signficant associations
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