Table 5.

Univariate and Multi-Variate Models of Memory Performance

		Univariate model		Multi-variate model
Outcome variable	Predictor	Estimate (95 % CI)	p value	Estimate (95 % CI)	p value
CVLT-II	Age	−0.110 (−0.142 to −0.077)	<0.001	−0.106 (−.143 to −.070)	<0.001
	Gender	−0.667 (−1.739 to 0.450)	0.222	−0.945 (−2.05 to 0.16)	0.092
	Race	1.099 (0.412 to 1.787)	0.002	1.103 (0.45 to 1.75)	0.001
	Education	−0.609 (−1.543 to 0.324)	0.200	0.015 (−0.89 to 0.92)	0.975
	TBI	0.844 (−0.081 to 1.770)	0.074	0.680 (−0.20 to 1.56)	0.131
	STOP-BANG Score	−0.350 (−0.554 to −0.145)	0.001	−0.073 (−0.30 to 0.15)	0.527
BVMT-R	Age	−0.082 (−0.106 to −0.059)	<0.001	−0.083 (−0.11 to −0.06)	<0.001
	Gender	0.075 (−0.707 to 0.858)	0.850	0.084 (−0.73 to 0.89)	0.838
	Race	0.498 (−0.013 to 1.008)	0.056	0.515 (0.03 to 1.00)	0.037
	Education	−0.206 (−0.893 to 0.482)	0.556	0.368 (−0.31 to 1.40)	0.285
	TBI	−0.372 (−1.054 to 0.311)	0.285	−0.517 (−1.17 to 0.14)	0.123
	STOP-BANG Score	−0.264 (−0.414 to −0.115)	0.001	−0.083 (−0.25 to 0.08)	0.327

Estimates are presented as beta values.

CI, confidence interval; CVLT, California Verbal Learning Test-II; BVMT-R, Brief Visual Memory Test-Revised.