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. Author manuscript; available in PMC: 2016 Sep 1.
Published in final edited form as: Drug Alcohol Depend. 2015 Jul 16;154:251–259. doi: 10.1016/j.drugalcdep.2015.07.006

Table 3.

Unadjusted estimates and adjusted comparisons of alcohol-related problems among lifetime drinkers by gender identity: National College Health Assessment Surveys, Fall 2011–2013, United States

Unadjusted estimates
Adjusted models
Transgender-
identified people
Nontransgender-
identified females
Nontransgender-
identified males
Transgender-
identified
people
Nontransgender-identified
females
Nontransgender-identified
males
Alcohol-related
problems in the
past year
% (95% CI) % (95% CI) % (95% CI) AOR AOR (95% CI) P AOR (95% CI) P
Did something they later regretted (n=56,629) 30.2 (23.2, 38.3) 32.9 (31.4, 34.4) 33.6 (32.0, 35.3) 1.00 1.16 (0.81, 1.65) 0.415 1.22 (0.85, 1.74) 0.275
Forgot where they were or what they did (n=56,543) 20.9 (15.0, 28.3) 28.0 (26.6, 29.5) 31.5 (29.8, 33.2) 1.00 1.39 (0.92, 2.11) 0.119 1.68 (1.11, 2.54) 0.014
Had unprotected sex (n=56,592) 15.2 (10.2, 22.1) 17.0 (16.0, 18.0) 18.6 (17.2, 20.0) 1.00 1.08 (0.68, 1.72) 0.747 1.23 (0.78, 1.97) 0.375
Physically injured themselves (n=56,564) 18.0 (12.2, 25.7) 13.1 (12.3, 13.9) 15.6 (14.6, 16.6) 1.00 0.78 (0.49, 1.25) 0.311 1.00 (0.63, 1.59) 0.993
Got in trouble with the police (n=56,436) 3.7 (1.2, 11.1) 2.2 (2.0, 2.5) 4.2 (3.8, 4.8) 1.00 0.61 (0.19, 1.90) 0.391 1.25 (0.39, 3.96) 0.705
Someone had sex with them without their consent (sexually assaulted; n=56,591) 7.2 (3.6, 13.7) 2.1 (1.9, 2.3) 1.1 (0.9, 1.3) 1.00 0.45 (0.22, 0.93) 0.030 0.24 (0.12, 0.48) <0.001
Seriously considered suicide (suicidal ideation; n=56,327) 12.2 (7.5, 19.4) 1.9 (1.7, 2.1) 2.1 (1.9, 2.4) 1.00 0.37 (0.21, 0.64) <0.001 0.42 (0.24, 0.74) 0.003

Unadjusted estimates are the prevalence for each alcohol-related problem by gender. Adjusted models present the adjusted odds ratio (AOR) estimates, as well as 95% confidence intervals (CIs), for each alcohol-related problem by gender identity, controlling for age, race/ethnicity, sexual orientation, education level, employment, residence, and fraternity/sorority membership. All models account for the clustering of students within schools.