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

用于识别性少数群体和性别少数人群中个人饮酒机制的机器学习方法

基本信息

批准号：
10588042
负责人：
Connor J McCabe
金额：
$ 17.46万
依托单位：
UNIVERSITY OF WASHINGTON
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-09-19 至 2024-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10588042
关键词：
Address Adolescence Adult Advocacy Age Alcohol consumption Alcohols All of Us Research Program Automobile Driving Award Behavior Bisexual Black, Indigenous, People of Color COVID-19 Communities Complex Consensus Cross-Sectional Studies Data Data Set Development Discrimination Employment Equation Ethnic Origin Female Financial Hardship Foundations Future Gender Goals Growth Health Heterogeneity Heterosexuals Housing Individual Individual Differences Informal Social Control K-Series Research Career Programs Laws Lesbian Gay Bisexual Link Machine Learning Mediating Mediator of activation protein Mentors Mentorship Methodology Methods Minority Women Modeling National Institute on Alcohol Abuse and Alcoholism Neighborhoods Participant Pathway interactions Persons Phase Policies Population Positioning Attribute Prevention Process Public Health Race Recovery Reporting Research Research Training Resources Risk Risk Factors Role Sampling Scientist Sexism Sexual and Gender Minorities Social status Social support Stigmatization Stress Subgroup Surveys Symptoms Testing Training Underserved Population United States National Institutes of Health Woman Work addiction alcohol misuse alcohol prevention alcohol risk alcohol use disorder black women career cisgender coping discrete data experience faculty research forest gender minority gender minority community gender minority group gender minority men global health hate crimes high dimensionality high risk intersectionality machine learning method minority stress minority stressor non-heterosexual novel pandemic coronavirus pandemic disease pandemic stress programs psychologic public health intervention racism random forest sex sexual minority social stressor substance use theories transgender transgender women women of color young adult young woman

项目摘要

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.

这一获得独立奖的长期目标是支持候选人麦凯布博士构建独立研究计划并促进他向独立教师的过渡研究职位。迄今为止，麦凯布博士的研究重点是1.）成瘾研究和2.）了解压力的个体差异，发展自我调节及其性少数群体和非少数群体中与饮酒（AU）的关联。麦凯布博士试图扩大他在AU发展，少数派压力理论和应用定量方法的培训中强调交叉性，性和性别少数群体（SGM）AU风险，机器学习和多层次方法论和生态因素会影响AU分布。这个长期目标将实现通过五年的培训计划涉及精心选择的Mentalship团队以及针对性的课程和动手培训经验。拟议研究的目标是1）区分SGM亚组以及以au风险增加（例如，双性恋和跨性别者，有色人种的年轻女性）的相互作用，2）评估国家政策在调节AU风险中的作用，以及3）描述主持人和机制在冠状病毒大流行内外的SGM种群中，AU越来越大。修补阶段（K99）将涉及我们所有人的研究计划（AURP），大型（n = 331,360）和潜水国家数据集。 AIM 1将确定酒精和其他物质使用行为的异质性性（1a; n = 38,820非异性恋）和性别少数（1B; n = 2,660跨性别或非二元）社区。然后，它将作为SGM不平等（1C）和影响SGM社区的州级政策（1d;例如，涉嫌SGM身份的仇恨犯罪法）进一步区分SGM组的AU风险。在独立阶段，发现将扩展到在每月的Aurp Covid-19参与者体验调查（AIM）中，向AU的调解人和主持人讲话 2; n = 100,340）以及纵向的双年生Aurp数据，该数据超出了大流行至2027年（目标3）。 AIM 2将测试大流行应激源作为SGM交叉口中人际关系的介体（2a）并检查了人体内au的交叉（2b）和多级主持人（2C）。 AIM 3将测试 SGM交叉点（3A）中大流行后恢复的差异并确定大流行此更改的调解人（3B）和主持人（3C）。调查结果将作为NIAAA R01的基础 R00阶段的提交重点是地理编码的邻里水平因素影响开发跨青少年和成年跨SGM交叉点的酒精风险。导师（Rhew博士，Lee， Helm）和顾问（Grimm博士，Bauer，Raifman）致力于候选人的培训研究和培训计划的独特专业知识。该奖项将支持候选人的发展独立的跨学科预防科学家在AU差异和定量方法方面。