Quantifying prosthetic gait deviation using simple outcome measures

Table 4 Regression analysis; gait deviation index dependent variable

			Independent variables
No.	R2adj	R2pred	1	2	3	4
All variables
1	70.9	56.8	nSLint
2	76.1	59.6	nSLint	AM_C
3	82.6	66.5	nSLint	AM_C	tstand
4	89.3	81.4	nSLint	AM_C	tstand	6MWD
No step-length parameters
1	68.6	60.4	6MWD
2	79.8	72.0	6MWD	AM_C
3	86.1	82.7	6MWD	AM_C	tstand
4	90.2	86.2	6MWD	AM_C	tstand	Age
Forced inclusion of walking speed
1	57.4	46.4	nSSWS
2	71.1	53.7	nSSWS	AM_C
3	79.6	65.2	nSSWS	AM_C	tstand
4	82.1	70.7	nSSWS	AM_C	tstand	UT_D1

¹Not significant. Note 1: The table is organized such that the predicted gait deviation index is a function of the independent variables listed. The coefficients of the independent variables have been suppressed until the utility of these equations have been proven for use with individual patients; Note 2: Participants reporting an absence of frustration (n = 4) in the four weeks prior to testing were not included in the regression analysis. No.: Number of independent variables; R²_adj: Adjusted R²; R²_pred: Predictive R²; nSL_int: Leg-length normalised intact limb step-length; t_stand: Time to stand; AM_C: Over the past four weeks, rate your ability to walk up stairs when using your prosthesis; 6MWD: Six-minute walk distance; Age: Chronological age; nSSWS: Leg-length normalised self-selected walking speed; UT_D: Over the past four weeks, rate your comfort while standing when using your prosthesis.