Table 5. Logistic regression models assessing the odds of reporting pain while cycling and pain while not cycling, respectively.

Referent categories for models were not reporting pain.

Model Predicting Odds of Pain While Cycling			Model Predicting Odds of Pain While Not Cycling
Predictor variable	Odds Ratio	95%CI	Predictor variable	Odds Ratio	95%CI
Bike to work			Engaged in running
Yes(ref.no)	0.60**	0.41, 0.87	Yes(ref.no)	0.69*	0.50, 0.95
Experience (per 1-year increase)	0.98**	0.96, 0.99
Training core musculature			Cleats
Yes(ref.no)	0.68*	0.49, 0.95	Adjusted by cyclist(ref.not use)	1.37	0.64, 3.02
Saddle discomfort			Adjusted by professional(ref.not use)	1.46	0.67, 3.28
Yes(ref.no)	5.78***	2.71, 14.31	Not adjusted(ref.not use)	4.56**	1.53, 14.30
Pain while not cycling			Injury within past 12 months
Yes(ref.no)	5.02***	3.49, 7.30	Yes(ref.no)	1.84***	1.36, 2.49
Injury within past 12 months
Yes(ref.no)	1.46*	1.03, 2.10

***p<0.001;

**p<0.01;

*p<0.05