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. 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 2.

Results of Linear Regression Models Predicting Alcohol Consumption among Athletes and Non-athletes

Past-month
alcohol consumption
frequency
Typical number of drinks
per drinking day
AOR (95% CI) AOR (95% CI)

Age 1.141 (1.123 – 1.160)** 1.032 (1.014 – 1.050)**
Sex (Ref=Male) 0.799 (0.766 – 0.834)** 0.698 (0.667 – 0.730)**
Race (Ref=Non-Hispanic white)
 Non-Hispanic black or African American 0.627 (0.592 – 0.664)** 0.580 (0.545 – 0.617)**
 Non-Hispanic Asian or Pacific Islander 0.533 (0.499 – 0.571)** 0.621 (0.579 – 0.666)**
 Hispanic 0.925 (0.857 – 0.999)* 0.973 (0.897 – 1.055)
 Two or more races 0.882 (0.803 – 0.969)** 0.843 (0.763 – 0.932)**
 Other 0.671 (0.566 – 0.795)** 0.644 (0.537 – 0.772)**
Living situation (Ref=Residence hall)
 Non-school owned apartment or house 1.365 (1.287 – 1.447)** 1.267 (1.190 – 1.348)**
 School-owned apartment 1.391 (1.309 – 1.478)** 1.221 (1.144 – 1.303)**
 Parent or guardian’s home 0.669 (0.621 – 0.720)** 0.600 (0.555 – 0.648)**
 Other 1.633 (1.396 – 1.909)** 1.249 (1.055 – 1.478)**
Athlete status (Ref=Non-athlete) 1.060 (0.991 – 1.134) 1.352 (1.261 – 1.449)**
*

p<.05

**

p<.01

Note. Participants who did not drink during the past month were coded as 0 for both past-month frequency and typical number of drinks per drinking day.