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. 2018 Sep 1;5(6):359–367. doi: 10.1089/lgbt.2017.0212

Table 4.

Adjusted Trends in Lifetime Alcohol Use, Early Onset Use, Past 30-Day Use, and Past 30-Day Heavy Episodic Drinking: Youth Risk Behavior Survey (2007–2015)

  Lifetime alcohol use Early onset use Past 30-day use Past 30-day HED
  aOR (95% CI) p aOR (95% CI) p aOR (95% CI) p aOR (95% CI) p
Boys
 Heterosexual × 2015[ref] 1.00   1.00   1.00   1.00  
 Bisexual × 2007 0.83 (0.28–2.40) 0.726 0.74 (0.35–1.57) 0.438 0.65 (0.28–1.50) 0.310 1.40 (0.56–3.54) 0.473
 Gay × 2007 2.52 (1.11–5.70) 0.027 0.65 (0.36–1.18) 0.156 2.30 (1.10–4.81) 0.027 1.64 (0.71–3.77) 0.243
 Unsure × 2007 0.64 (0.26–1.60) 0.343 0.60 (0.24–1.50) 0.276 0.54 (0.23–1.28) 0.162 0.89 (0.42–1.89) 0.769
Girls
 Heterosexual × 2015[ref] 1.00   1.00   1.00   1.00  
 Bisexual × 2007 0.80 (0.46–1.39) 0.431 1.17 (0.74–1.86) 0.498 0.62 (0.42–0.92) 0.016 0.81 (0.53–1.24) 0.337
 Lesbian × 2007 0.83 (0.26–2.58) 0.744 2.49 (1.10–5.66) 0.029 2.01 (0.81–4.97) 0.131 2.77 (1.02–7.55) 0.047
 Unsure × 2007 1.15 (0.48–2.78) 0.750 0.65 (0.28–1.51) 0.313 1.11 (0.60–2.06) 0.737 0.80 (0.40–1.58) 0.516

Reference category = heterosexual by 2015. Data were weighted. Models included sexual identity, age, race/ethnicity, state, survey year, and identity-by-year interaction; odds ratios above 1.00 indicate a wider disparity between heterosexual youth and the specified sexual minority subgroup in 2015 compared with 2007, whereas odds ratios below 1.00 indicate a narrower disparity between heterosexual youth and sexual minority youth in 2015 compared with 2007. aOR in bold indicate p < 0.05.