Table 7.

Univariate and Multi-Variate Models of Processing Speed Performance

		Univariate model		Multi-variate model
Outcome variable	Predictor	Estimate (95 % CI)	p value	Estimate (95 % CI)	p value
TMT A	Age	0.277 (0.181 to 0.372)	<0.001	0.311 (0.205 to 0.418)	<0.001
	Gender	0.239 (−2.866 to 3.344)	0.880	0.241 (−2.988 to 3.470)	0.883
	Race	−2.580 (−4.591 to −0.569)	0.012	−2.713 (−4.642 to −0.785)	0.006
	Education	−1.891 (−4.614 to 0.831)	0.173	−3.986 (−6.677 to −1.294)	0.004
	TBI	0.821 (−1.890 to 3.532)	0.552	1.511 (−1.111 to 4.133)	0.258
	STOP-BANG Score	0.763 (0.165 to 1.360)	0.012	0.033 (−0.633 to 0.699)	0.923
WAIS-IV Coding	Age	−0.393 (−0.526 to −0.260)	<0.001	−0.402 (−0.542 to −0.262)	<0.001
	Gender	−11.667 (−15.884 to −7.450)	<0.001	−9.849 (−14.138 to −5.561)	<0.001
	Race	1.735 (−1.097 to 4.567)	0.229	2.049 (−0.485 to 4.584)	0.113
	Education	3.913 (0.123 to 7.703)	0.043	5.556 (2.021 to 9.091)	0.002
	TBI	−4.409 (−8.170 to −0.649)	0.022	−3.648 (−7.092 to −0.203)	0.038
	STOP-BANG Score	−2.729 (−3.524 to −1.933)	<0.001	−1.185 (−2.061 to −0.309)	0.008

Estimates are presented as beta values.

CI, confidence interval; TMT A, Trail Making Test A; TBI, traumatic brain injury; WAIS-IV, Weschler Adult Intelligence Scale 4th Edition.