Machine learning methods for identifying person-level mechanisms of alcohol use among sexual and gender minority intersections

这一独立之路奖的长期目标是支持候选人麦凯布博士 建立一个独立的研究计划，并促进他过渡到独立的教职员工 研究职位。到目前为止，麦凯布博士的研究主要集中在1。)精炼定量方法在 成瘾研究，以及2.)了解个体在压力方面的差异，发展自我调节，以及他们的 在性少数群体和非少数群体社区中与酒精使用的关联。麦凯布博士试图 扩大他在非盟发展、少数民族应激理论方面的培训，并将量化方法应用于一个新的 强调交叉性和性别少数群体(SGM)非盟风险、机器学习和多层次 方法和影响非盟差距的生态因素。这一长期目标将会实现 通过一个五年培训计划，包括精心挑选的指导团队以及有针对性的课程工作 和实践培训经验。拟议研究的目标是：1)区分SGM亚群 和易患非典风险高的交叉路口(例如，双性恋和跨性别者、SGM有色人种年轻女性)，2) 评估国家政策在控制非盟风险方面的作用，以及3)描述 在冠状病毒大流行内外的SGM人群中，AU增加。指导阶段 (K99)将涉及对我们所有人研究计划(AURP)、大型(N=331,360)和 不同的国家数据集。目标1将确定酒精和其他物质使用行为的异质性 性别(1a；n=38820非异性恋)和少数性别(1b；n=2660变性人或非双性恋者) 社区。然后，它将测试种族/族裔和年龄作为特别报告员不平等的交叉调节因素(1c)和 影响SGM社区的州一级政策(1D；例如列举SGM身份的仇恨犯罪法律) 进一步区分SGM组之间的AU风险。在独立阶段，调查结果将扩展到 在每月的AURP新冠肺炎参与者体验调查(AIM)中向非盟的调解人和主持人发表讲话 2；n=100,340)以及从大流行延伸到2027年的两年一度的纵向AURP数据 (目标3)。AIM 2将在SGM交叉路口测试大流行应激源作为人与人之间非典的媒介 (2a)和检查人内AU的交叉(2b)和多水平主持人(2c)。AIM 3将测试 非盟大流行后恢复的不同SGM交叉点(3a)和确定大流行 这一变化的调解人(3b)和主持人(3c)。调查结果将作为NIAAA R01的基础 R00阶段的提交集中于影响开发的地理编码邻域级别因素 跨SGM交叉路口青春期和青春期的酒精风险。导师(Rhew博士、Lee博士、 Helm)和顾问(Grimm、Bauer、Raifman博士)致力于候选人的培训，各自提供 为研究和培训计划提供独特的专业知识。该奖项将支持候选人作为一名 在非盟差异和量化方法方面的独立跨学科预防科学家。

The long-term objective of this Pathway to Independence Award is to support candidate Dr. McCabe in building an independent research program and to facilitate his transition into an independent faculty research position. To date, Dr. McCabe’s research has focused on 1.) refining quantitative methods applied in addictions research, and 2.) understanding individual differences in stress, developing self-regulation, and their associations with alcohol use (AU) among sexual minority and non-minority communities. Dr. McCabe seeks to expand his training in AU development, minority stress theory, and applied quantitative methods to a new emphasis on intersectionality and sexual and gender minority (SGM) AU risk, machine learning and multilevel methodologies, and ecological factors influencing AU disparities. This long-term objective will be achieved through a five-year training plan involving a carefully selected mentorship team as well as targeted coursework and hands-on training experiences. The goals of the proposed research are to 1) distinguish SGM subgroups and intersections at heightened risk for AU (e.g., bisexuals and trans persons, SGM young women of color), 2) assess the role of state policies in moderating AU risk, and 3) delineate moderators and mechanisms of heightened AU across SGM populations within and beyond the coronavirus pandemic. The mentored phase (K99) will involve cross-sectional analysis of the All of Us Research Program (AURP), a large (N=331,360) and diverse national dataset. Aim 1 will identify heterogeneity in alcohol and other substance use behaviors among sexual (1a; n=38,820 non-heterosexual) and gender minority (1b; n=2,660 transgender or nonbinary) communities. It will then test race/ethnicity and age as intersectional moderators of SGM inequities (1c) and state-level policies impacting SGM communities (1d; e.g., hate crime laws enumerating SGM identity) that further differentiate AU risk among SGM groups. During the independent phase, findings will be extended to address mediators and moderators of AU in the monthly AURP COVID-19 Participant Experience Survey (Aim 2; n=100,340) as well as the longitudinal, biennial AURP data that extends beyond the pandemic into 2027 (Aim 3). Aim 2 will test pandemic stressors as mediators of between-person AU among SGM intersections (2a) and examine intersectional (2b) and multilevel moderators (2c) of within-person AU. Aim 3 will test differences in post-pandemic recovery in AU among SGM intersections (3a) and determine pandemic mediators (3b) and moderators (3c) of this change. Findings will serve as the foundation for an NIAAA R01 submission during the R00 phase focused on geocoded neighborhood-level factors influencing developing alcohol risk across adolescence and young adulthood across SGM intersections. Mentors (Drs. Rhew, Lee, Helm) and consultants (Drs. Grimm, Bauer, Raifman) are committed to the candidate’s training, each providing unique expertise to the research and training plan. This award will support the candidate’s development as an independent cross-disciplinary prevention scientist in AU disparities and quantitative methods.