The Relationship between Independent Transfer Skills and Upper Limb Kinetics in Wheelchair Users

Table 5

Logistic regression model results for each TAI item. Odds ratio (Exp(𝐵)) is shown for the predictors that significantly contributed to predicting the TAI item scores. The Negelkerke 𝑅² value for each model is reported.

Item	Variables	𝐵	𝜒^2	Sig.	Exp(𝐵)	Model results
Item 1: the subject’s wheelchair is within 3 inches of the object to which he is transferring on to.	Leading (left) shoulder AveRF	−2.45	3.55	.06		χ ^2(2, 𝑁=23) = 8.72, 𝑃=.01, 𝑅^2=.42
	Leading (left) shoulder MaxRMRate	1.32	3.39	.07
Item 2: the angle between the subject’s wheelchair and the surface to which he is transferring to is approximately 20–45 degrees.	Leading (left) shoulder MaxIRM*	−16.53	4.29	.04	.00	χ ^2(1, 𝑁=23) = 9.09,; 𝑃<.01, 𝑅^2=.46
Item 6: the subject places his feet in a stable position (on the floor if possible) before the transfer.	Leading (left) shoulder MaxRMRate	−1.34	3.67	.06		χ ^2(1, 𝑁=23) = 7.86,; 𝑃<.01, 𝑅^2=.42
	Trailing (right) shoulder AveRM*	−5.73	4.19	.04	.00	χ ^2(1, 𝑁=23) = 6.76,; 𝑃<.01, 𝑅^2=.37
Item 7: the subject scoots to the front edge of the wheelchair seat before he transfers (i.e., moves his buttocks to the front 2/3rds of the seat).	Leading (left) shoulder MaxExtenM	3.91	3.54	.06		χ ^2(1, 𝑁=23) = 4.70,; 𝑃=.03, 𝑅^2=.27
	Trailing (right) elbow AveRM	−13.34	2.96	.09		χ ^2(2, 𝑁=23) = 14.78,; 𝑃<.01, 𝑅^2=.69
	Trailing (right) elbow MaxRMRate	−3.70	2.82	.09
Item 9: a handgrip is utilized correctly by the leading arm (when the handgrip is in the individual’s base of support).	Leading (left) shoulder MaxRMRate	−1.39	1.62	.20		χ ^2(4, 𝑁=23) = 18.29,; 𝑃<.01, 𝑅^2=.74
	Leading (left) shoulder MaxIRM	22.10	1.85	.17
	Leading (left) elbow MaxRMRate	−4.74	2.21	.14
	Leading (left) wrist MaxRMRate	7.51	2.83	.09
	Trailing (right) shoulder AveRM	−9.91	1.43	.23		χ ^2(2, 𝑁=23) = 19.92,; 𝑃<.01, 𝑅^2=.79
	Trailing (right) elbow MaxRMRate*	−10.38	4.07	.04	.00
Item 12: Head-hip relationship is used.	Leading (left) shoulder MaxRMRate	−.81	3.82	.05		χ ^2(1, 𝑁=23) = 5.13,; 𝑃=.02, 𝑅^2=.27

Note: ∗the predictor significantly contributed to the regression model. 𝐵: unstandardized regression coefficients; Sig.: significance; Exp(𝐵): odds ratio; Ave: average; Max: maximum; RMRate: rate of rise of resultant moment; RF: resultant force; IRM: internal rotation moment; RM: resultant moment; ExtenM: extension moment.