Table 4 Coefficients of mixed linear models.

	Sham group			Active group			Interaction effect
	Pre	Post	p value	Pre	Post	p value	p value
Slope of Borg vs. log-resistance	3.6 (0.3)	2.7 (0.3)	0.03^a	3.3 (0.3)	3.3 (0.3)	0.98	0.10
Slope of Pi_peak vs. log-resistance	−11.5 (1.2)	−12.0 (1.2)	0.73	−9.2 (1.0)	−15.1 (1.0)	<0.001	0.02
Slope of Pi_peak (%Pi_max) vs. log-resistance	21.1 (1.6)	22.7 (1.6)	0.48	21.0 (1.3)	22.6 (1.3)	0.22	0.80
Slope of Borg vs. Pi_peak	−0.17 (0.03)	−0.23 (0.03)	0.13	−0.21 (0.03)	−0.13 (0.02)	0.005	0.004
Slope of Borg vs. T_I	1.6 (0.5)	−0.59 (0.47)	<0.001	1.1 (0.4)	0.53 (0.42)	0.09	<0.001
Slope of Borg vs. Pi_peak (%Pi_max)	0.11 (0.02)	0.10 (0.02)	0.55	0.11 (0.01)	0.11 (0.01)	0.91	0.79
Slope of Borg vs. T_I	1.1 (0.5)	−0.70 (0.38)	<0.001	0.79 (0.39)	−0.16 (0.33)	0.001	0.04

Pi_peak is negatively increasing. Each row of data in rows 1-3 are from separate mixed linear models; data in rows 4 and 5 are from the same mixed linear model; data in rows 6 and 7 are from the same mixed linear model.
SE mean, Pi_peak peak inspiratory pressure, Pi_max maximal inspiratory pressure, T_I inspiratory time.
^aIndicates main effect of training intervention (pre vs post) was not significant (F_1,252.4 = 2.6, p = 0.11).

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