Moody Raymond L, Gutkind Sarah, D Gonçalves Priscila, Philbin Morgan, Duncan Dustin T, Martins Silvia S
Department of Human Development and Family Sciences, University of Connecticut, Storrs, CT, USA.
Department of Epidemiology, Columbia University, New York, NY, USA.
Subst Use Addctn J. 2025 Jan;46(1):34-44. doi: 10.1177/29767342241273419. Epub 2024 Sep 16.
Sexual minority populations experience higher rates of substance use and related problems, but little is known about their specific involvement in driving under the influence (DUI) of alcohol (DUIA) and cannabis (DUIC) incidents.
Using data from the 2016 to 2019 National Survey on Drug Use and Health, we used logistic regression models to estimate the interactive effects of sexual identity, race/ethnicity, and gender on past-year DUIA among adults who used alcohol and DUIC among adults who used cannabis, accounting for covariates. Using model estimates and linear combinations, we calculated the predicted probabilities of each outcome and compared sexual identity differences within and across race/ethnicity and gender.
With few exceptions, the predicted probabilities of DUIA and DUIC were significantly higher among sexual minority women than heterosexual women of similar race/ethnicity. The results were more variable among men with the probabilities of DUIA and DUIC being significantly higher for some groups of sexual minority men and some groups having probabilities equal to or lower than similar heterosexual men. Some of the largest sexual minority gaps in DUIA and DUIC were observed among Hispanic and Other lesbian women and Black gay men.
Sexual minority individuals are more likely to report DUI than their heterosexual counterparts; however, the risk of DUI among sexual minority populations varies by racial/ethnic and gender subgroup. Our findings indicate the importance of applying an intersectional framework when addressing substance-use-related disparities and when designing effective DUI prevention interventions for sexual minority populations.
性少数群体物质使用及相关问题的发生率较高,但对于他们在酒精影响下驾驶(DUIA)和大麻影响下驾驶(DUIC)事件中的具体参与情况知之甚少。
利用2016年至2019年全国药物使用和健康调查的数据,我们使用逻辑回归模型来估计性取向、种族/族裔和性别对过去一年中饮酒成年人的DUIA以及使用大麻成年人的DUIC的交互作用,并对协变量进行了考量。通过模型估计和线性组合,我们计算了每个结果的预测概率,并比较了种族/族裔和性别内部及之间的性取向差异。
除少数例外情况外,性少数群体女性中DUIA和DUIC的预测概率显著高于具有相似种族/族裔的异性恋女性。男性中的结果差异更大,一些性少数群体男性组的DUIA和DUIC概率显著更高,而一些组的概率等于或低于相似的异性恋男性。在西班牙裔和其他女同性恋者以及黑人男同性恋者中观察到了DUIA和DUIC方面一些最大的性少数群体差距。
性少数群体个体比其异性恋同龄人更有可能报告酒后驾车;然而,性少数群体中酒后驾车的风险因种族/族裔和性别亚组而异。我们的研究结果表明,在解决与物质使用相关的差异以及为性少数群体设计有效的酒后驾车预防干预措施时,应用交叉性框架的重要性。