Table 3. Summary of statistical models with arousal as the outcome variable.

All models contain a random intercept for participant. Model 2 is restricted to days where one run occurred, and model 4 to days where a report was received after a run.

Model	Predictor	B	95% CI	t	p-value
1	Time: Baseline	Reference category
	Time: Next day	0.01	−0.15–0.16	0.06	0.949
	Time: Run day	0.24	0.07–0.42	2.74	0.006*
2	Before run	Reference category
	After run	0.09	−0.12–0.30	0.88	0.380
3	Time: Baseline	Reference category
	Time: Next day	−0.03	−0.35–0.30	−0.17	0.864
	Time: Run day	0.12	−0.13–0.36	0.94	0.347
	Dose	−0.15	−0.39–0.09	−1.24	0.217
	Next day*Dose	−0.14	−0.54–0.26	−0.69	0.499
	Run day* Dose	0.26	−0.01–0.52	1.88	0.061
4	Time since run	−0.001	−0.001–−0.000	−2.28	0.023*

Notes.

^*p < 0.05.