Table 3.

Logistic regression models predicting current bicycle use for transport at least once a week (ORs and 95% confidence intervals)

	Adelaide	Ghent
Age in years
20–36	1.00	1.00
37–46	0.86 (0.60–1.22)	0.62 (0.36–1.09)
47–55	0.66 (0.45–0.95)*	0.93 (0.54–1.62)
56–65	0.43 (0.28–0.66)***	1.13 (0.62–2.06)
Gender
Men	1.00	1.00
Women	0.34 (0.26–0.45)***	0.58 (0.39–0.88)*
Tertiary education
No	1.00	1.00
Yes	1.04 (0.77–1.41)	1.00 (0.66–1.51)
Working
No	1.00	1.00
Yes	1.25 (0.91–1.73)	0.54 (0.33–0.88)*
Area-level SES
Lower	1.00	–
Higher	1.14 (0.77–1.69)	–
Walkability
Lowest	1.00	1.00
High (Ghent only)	–	1.52 (0.86–2.70)
Higher (Ghent only)	–	2.42 (1.34–4.38)**
Highest	1.82 (1.24–2.66)**	2.62 (1.45–4.72)***

Analyses adjusted for age, gender, education, working status, and for Adelaide only, area-level SES

*p < 0.05; **p < 0.01; ***p < 0.001