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:
- 金额:$ 17.46万
- 依托单位:
- 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:
- 关键词:AddressAdolescenceAdultAdvocacyAgeAlcohol consumptionAlcoholsAll of Us Research ProgramAutomobile DrivingAwardBehaviorBisexualBlack, Indigenous, People of ColorCOVID-19CommunitiesComplexConsensusCross-Sectional StudiesDataData SetDevelopmentDiscriminationEmploymentEquationEthnic OriginFemaleFinancial HardshipFoundationsFutureGenderGoalsGrowthHealthHeterogeneityHeterosexualsHousingIndividualIndividual DifferencesInformal Social ControlK-Series Research Career ProgramsLawsLesbian Gay BisexualLinkMachine LearningMediatingMediator of activation proteinMentorsMentorshipMethodologyMethodsMinority WomenModelingNational Institute on Alcohol Abuse and AlcoholismNeighborhoodsParticipantPathway interactionsPersonsPhasePoliciesPopulationPositioning AttributePreventionProcessPublic HealthRaceRecoveryReportingResearchResearch TrainingResourcesRiskRisk FactorsRoleSamplingScientistSexismSexual and Gender MinoritiesSocial statusSocial supportStigmatizationStressSubgroupSurveysSymptomsTestingTrainingUnderserved PopulationUnited States National Institutes of HealthWomanWorkaddictionalcohol misusealcohol preventionalcohol riskalcohol use disorderblack womencareercisgendercopingdiscrete dataexperiencefaculty researchforestgender minoritygender minority communitygender minority groupgender minority menglobal healthhate crimeshigh dimensionalityhigh riskintersectionalitymachine learning methodminority stressminority stressornon-heterosexualnovelpandemic coronaviruspandemic diseasepandemic stressprogramspsychologicpublic health interventionracismrandom forestsexsexual minoritysocialstressorsubstance usetheoriestransgendertransgender womenwomen of coloryoung adultyoung 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.
这个独立之路奖的长期目标是支持候选人麦凯布博士
在建立一个独立的研究计划,并促进他过渡到一个独立的教师
研究立场。到目前为止,麦凯布博士的研究集中在1。细化量化方法应用于
成瘾研究; 2.)了解压力的个体差异,发展自我调节,
在性少数群体和非少数群体社区中与酒精使用的关联(Au)。麦凯布博士试图
扩大他在Au发展,少数民族压力理论的培训,并应用定量方法,以一个新的
强调交叉性和性和性别少数群体(SGM)Au风险,机器学习和多层次
方法学和影响Au差异的生态因素。这一长远目标将得以实现
通过一个五年的培训计划,包括精心挑选的导师团队以及有针对性的课程,
和实践培训经验。本研究的目的是:1)区分SGM亚群
以及对Au具有高风险的交叉点(例如,双性恋和跨性别者,有色人种的SGM年轻女性),2)
评估国家政策在缓和Au风险中的作用,以及3)描绘缓和剂和机制,
在冠状病毒大流行期间和之后,SGM人群的Au升高。指导阶段
(K99)将涉及我们所有研究计划(AURP)的横截面分析,一个大型(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(1a; n= 38,820非异性恋)和性别少数(1b; n= 2,660变性人或非二元)
社区.然后,它将测试种族/民族和年龄作为SGM不公平的交叉调节因素(1c),
影响SGM社区的州级政策(1d;例如,列举SGM身份的仇恨犯罪法),
进一步区分SGM组之间的Au风险。在独立阶段,调查结果将扩大到
在每月的AURP COVID-19参与者体验调查(Aim)中向Au的调解员和主持人致辞
2; n= 100,340)以及从大流行延续到2027年的纵向、两年期AURP数据
(Aim 3)。目标2将测试大流行压力源作为SGM交叉点之间人与人之间Au的介质
(2a)并检查人内Au的交叉(2b)和多级调节器(2c)。目标3将测试
SGM交叉点之间Au大流行后恢复的差异(3a),并确定大流行
调解人(3b)和主持人(3c)的这一变化。调查结果将作为NIAAA R 01的基础
在R 00阶段提交的文件侧重于影响发展的地理编码的邻里因素
在SGM交叉点的青春期和青年期的酒精风险。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,每人提供
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,
独立跨学科预防科学家在Au差距和定量方法。
项目成果
期刊论文数量(0)
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科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Connor J McCabe其他文献
Connor J McCabe的其他文献
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{{ truncateString('Connor J McCabe', 18)}}的其他基金
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
- 批准号:
10706624 - 财政年份:2022
- 资助金额:
$ 17.46万 - 项目类别:
Developmental Pathways of Substance Use among Sexual Minority Women
性少数女性物质使用的发展途径
- 批准号:
8981939 - 财政年份:2015
- 资助金额:
$ 17.46万 - 项目类别:
Developmental Pathways of Substance Use among Sexual Minority Women
性少数女性物质使用的发展途径
- 批准号:
9129447 - 财政年份:2015
- 资助金额:
$ 17.46万 - 项目类别:
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