Development of practical screening tools to support targeted prevention of early, high-risk drinking substance use

开发实用的筛查工具,以支持有针对性地预防早期高风险饮酒物质的使用

基本信息

项目摘要

PROJECT SUMMARY/ABSTRACT Early, high-risk drinking and drug use during adolescence conveys risk of both acute harms and long-term consequences. NIDA has invested considerable resources in targeted prevention programs to reduce, delay, or mitigate these outcomes. The public health impact of these programs is limited by the current lack of a method to accurately and reliably identify which youth would benefit from these programs before they initiate substance involvement. Existing screening instruments to quantify risk among substance-naïve youth were developed in small, non-representative samples and have not yielded accurate and reliable predictions in new data. Responding to RFA-DA-24-037, Accelerating the Pace of Drug Abuse Research Using Existing Data, we propose to leverage the unprecedented Adolescent Brain and Cognitive DevelopmentSM (ABCD) Study to develop and conduct a preliminary validation of practical, accurate, and equitable screening tools for use in real- world prevention settings. The ABCD Study® is large (N=11,880), sociodemographically diverse, spans 21 cities across the U.S., measured every well-established risk/resilience factors for adolescent substance use, and will be followed prospectively for 10 years, enabling us to distinguish adolescents with early, high-risk drinking/drug use patterns from peers exhibiting developmentally normative, infrequent, and transient experimentation with substances. Thus, no prior study has offered a better opportunity for developing accurate and generalizable screening measures to quantify risk among substance-naïve youth. Aim 1: Develop a portfolio of brief, accurate, equitable, and generalizable screening measures. Following a systematic algorithm designed to maximize accuracy and eliminate inequities, we will construct and refine brief, survey-based measures quantifying risk for early, high-risk drinking and drug use. Aim 2: Conduct a preliminary validation of the developed screening measures in holdout data (n=5,000) weighted to be sociodemographically representative of all children in the U.S Census. To anticipate the tools’ likely performance in real-world settings, we will obtain unbiased estimates of screener performance in holdout data, then conduct sensitivity analyses probing potential limits on generalizability. Together, these aims have potential to deliver screening tools that can unlock the public health potential of existing targeted preventive interventions to reduce early, high-risk drinking/drug use, enabling wider implementation at cost-effective scale. This developmental/exploratory research (R21) leverages existing data to develop novel measures and conduct a preliminary validation. If we are successful at producing measures that yield accurate and equitable screening decisions in holdout data, we will further refine and externally validate the measure in a subsequent R01-scope project.
项目总结/文摘

项目成果

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William Ellerbe Pelham III其他文献

William Ellerbe Pelham III的其他文献

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{{ truncateString('William Ellerbe Pelham III', 18)}}的其他基金

Family processes underlying adolescent substance use and conduct problems: disentangling correlation and causation
青少年物质使用和行为问题背后的家庭过程:理清相关性和因果关系
  • 批准号:
    10577848
  • 财政年份:
    2022
  • 资助金额:
    $ 23.7万
  • 项目类别:
The impact of the COVID-19 pandemic on adolescent drinking in a longitudinal cohort spanning 21 U.S. cities
跨越美国 21 个城市的纵向队列研究了 COVID-19 大流行对青少年饮酒的影响
  • 批准号:
    10579328
  • 财政年份:
    2022
  • 资助金额:
    $ 23.7万
  • 项目类别:
Family processes underlying adolescent substance use and conduct problems: disentangling correlation and causation
青少年物质使用和行为问题背后的家庭过程:理清相关性和因果关系
  • 批准号:
    10427677
  • 财政年份:
    2022
  • 资助金额:
    $ 23.7万
  • 项目类别:
The impact of the COVID-19 pandemic on adolescent drinking in a longitudinal cohort spanning 21 U.S. cities
跨越美国 21 个城市的纵向队列研究了 COVID-19 大流行对青少年饮酒的影响
  • 批准号:
    10471042
  • 财政年份:
    2022
  • 资助金额:
    $ 23.7万
  • 项目类别:
Identifying Children and Teens at Risk for Early Onset Alcohol Use: An Innovative Application of Machine Learning Algorithms to Prevention
识别有早期饮酒风险的儿童和青少年:机器学习算法在预防中的创新应用
  • 批准号:
    9753696
  • 财政年份:
    2018
  • 资助金额:
    $ 23.7万
  • 项目类别:

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