. Author manuscript; available in PMC: 2017 Jul 1.

Published in final edited form as: Exp Gerontol. 2016 Apr 13;80:12–16. doi: 10.1016/j.exger.2016.04.009

Table 2.

Multivariable models evaluating the association between gait characteristics and scores on the SPPB and its component tasks, adjusted for age and gender.

Variables	Model 1 (R² = 0.18) P < 0.001
	Estimate	SE	P
		Stride time CV	−0.460	0.122	< 0.001
Step width CV	−0.191	0.064	0.003
Stride width CV	0.048	0.021	0.025

	Model 2 (R² = 0.27) P < 0.001
	Estimate	SE	P

Stride time CV	−0.253	0.124	0.043
Step width CV	−0.105	0.063	0.100
Stride width CV	0.042	0.020	0.036
PCI	−0.346	0.078	< 0.001

Outcome Gait speed	Variables	Model 1 (R² = 0.33) P < 0.001
Outcome Gait speed	Variables	Estimate	SE	P
	Stride time CV	−3.981	0.867	< 0.001
	Step width CV	−1.813	0.454	< 0.001
	Stride width CV	0.718	0.150	< 0.001

		Model 2 (R² = 0.37) P < 0.001
		Estimate	SE	P

	Stride time CV	−2.998	0.914	0.001
	Step width CV	−1.404	0.467	0.003
	Stride width CV	0.693	0.147	< 0.001
	PCI	−1.643	0.572	0.005

Outcome Chair rise score	Variables	Model 1 (R² = 0.04) P = 0.007
Outcome Chair rise score	Variables	Estimate	SE	P
	Stride time CV	−0.199	0.073	0.007
		Model 2 (R² = 0.11) P < 0.001
	Variables	Estimate	SE	P

	Stride time CV	−0.091	0.077	0.242
	PCI	−0.159	0.046	0.001

Outcome Balance score	Variables	Model 1 (R² = 0.03) P = 0.017
Outcome Balance score	Variables	Estimate	SE	P
	Step width CV	−0.078	0.032	0.017
		Model 2 (R² = 0.09) P < 0.001
	Variables	Estimate	SE	P

	Step width CV	−0.040	0.033	0.232
	PCI	−0.126	0.038	0.001

N = 164 in all models. Abbreviations: CV, coefficient of variation; PCI, Phase Coordination Index; SE, standard error; SPPB, Short Physical Performance Battery.

Each Model 1 is for the regression of gait variables on mobility performance outcomes without PCI. Each Model 2 is for the regression of gait variables including PCI in the model.