. Author manuscript; available in PMC: 2020 Jul 26.

Published in final edited form as: J Issues Intercoll Athl. 2019 Jul 26;12:343–364.

Table 3.

Results of Logistic Regression Models Predicting Alcohol and Marijuana Use among Athletes and Non-athletes

	Past-month binge drinking	Past-month high intensity drinking	Past-year marijuana use
	AOR (95% CI)	AOR (95% CI)	AOR (95% CI)

Age	1.097 (1.063 – 1.132)^**	1.015 (0.969 – 1.063)	0.979 (0.943 – 1.016)
Sex (Ref=Male)	0.816 (0.749 – 0.890)^**	0.216 (0.191 – 0.244)^**	0.897 (0.808 – 0.995)^*
Race (Ref=Non-Hispanic white)
Non-Hispanic black or African American	0.415 (0.370 – 0.466)^**	0.285 (0.229 – 0.355)^**	0.882 (0.772 – 1.008)
Non-Hispanic Asian or Pacific Islander	0.424 (0.371 – 0.485)^**	0.362 (0.288 – 0.456)^**	0.458 (0.385 – 0.544)^**
Hispanic	0.976 (0.837 – 1.138)	0.957 (0.775 – 1.182)	1.351 (1.137 – 1.605)^**
Two or more races	0.714 (0.592 – 0.861)^**	0.687 (0.518 – 0.910)^**	1.173 (0.954 – 1.441)
Other	0.526 (0.376 – 0.735)^**	0.398 (0.228 – 0.695)^**	0.810 (0.573 – 1.146)
Living situation (Ref=Residence hall)
Non-school owned apartment or house	1.688 (1.499 – 1.900)^**	1.941 (1.643 – 2.292)^**	1.355 (1.179 – 1.557 )^**
School-owned apartment	1.619 (1.431 – 1.832)^**	1.625 (1.360 – 1.941)^**	1.246 (1.065 – 1.457)^**
Parent or guardian’s home	0.439 (0.379 – 0.508)^**	0.579 (0.453 – 0.741)^**	0.442 (0.369 – 0.529)^**
Other	1.717 (1.237 – 2.383)^**	2.530 (1.720 – 3.720)^**	1.043 (0.703 – 1.546)
Athlete status (Ref=Non-athlete)	1.633 (1.432 – 1.875)^**	1.953 (1.654 – 2.306)^**	0.807 (0.685 – 0.950)^*

p<.05

^**

p<.01