Clarifying the relations among youth technology use, substance use and mental health.

澄清青少年技术使用、物质使用和心理健康之间的关系。

• 批准号: 10581790
• 负责人: Jacob T Borodovsky
• 金额: $ 24.6万
• 依托单位: DARTMOUTH COLLEGE
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-15 至 2024-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10581790
• 关键词: Address; Adolescent; Adolescent Behavior; Affect; Age; Alcohol consumption; Alcohols; Anxiety; Attenuated; Automobile Driving; Behavior; Brain; Cannabis; Cellular Phone; Child; Cocaine; Cognition; Complex; Computers; Conflict (Psychology); Country; Data; Data Set; Depression and Suicide; Development; Devices; Disease; Drug Prescriptions; Environment; Etiology; European; Evaluation; Exhibits; Family; Frequencies; Future; Glean; Gold; Health; Health Technology; High School Student; Hour; Income; Industrialization; Inhalant dose form; Internet; Investigation; Masks; Measurement; Measures; Mental Depression; Mental Health; Methodology; Methods; Minor; Modeling; Monitor; Moods; Neurobiology; Outcome; Parents; Pattern; Play; Prevention program; Probability; Questionnaires; Reporting; Reproducibility; Role; Specificity; Statistical Methods; Subgroup; Technology; Testing; Text Messaging; Video Games; Youth; adolescent substance use; base; biological sex; biopsychosocial; biopsychosocial factor; clinically significant; cognitive development; comorbidity; computer game; digital; ecstasy; innovation; parental monitoring; peer; screening program; social; social media; substance use; therapy design; trend; tv watching; underage drinking; vaping nicotine

PROJECT SUMMARY: From 2009 to 2019, depression and suicidality increased nearly 40% among US high school students. However, during the same period, adolescent use of most substances (e.g., alcohol, prescription drugs, inhalants, ecstasy, cocaine, and several more) decreased by 20-40%. Similar trends are being reported in almost all industrialized Western European and Australasian countries. Importantly, substance use and mental health problems remain strongly and positively correlated with each other – suggesting that other factors must be driving these diverging youth trends. Digital technologies are a potential explanation because they have significantly altered youths' environment and can impact youths' behavior, health, and functioning. However, the relations among youth technology use, substance use, and mental health are unclear due to the field's overreliance on cross-sectional data and inaccurate measures of technology use (e.g., measuring general “screen time” rather than measuring when, where, and for how long youth use specific devices or platforms). Furthermore, associations between technology use and substance use or mental health are likely connected to a multitude of other biopsychosocial factors (e.g., biological sex, peer and parental behaviors) that must also be considered. This exploratory study will produce a new, empirically-derived model of adolescent digital technology use, substance use, and mental health by capitalizing on the unique combination of comprehensive, gold-standard assessments available Adolescent Brain Cognitive Development (ABCD) study (n=11,875). Analyses will be conducted using longitudinal data on youth followed from ages 9/10 to 14/15. In AIM 1, we will use Group-based multi-trajectory modeling to identify an optimal model of developmental subgroups of longitudinal technology use patterns. In AIM 2, we will determine if Aim 1 technology subgroups differ in their relation to longitudinal patterns of substance use and mental health problems. In AIM 3, we will test the robustness of the associations observed in the Aim 2 model by examining the statistical impact of including five domains of biopsychosocial covariates in the model: (1) Biological Sex, (2) Parents (e.g., monitoring of child's activities), (3) Peers (e.g., peer substance use), (4) Environment/Context (e.g., family income) (5) Comorbidity of mental health and substance use. The resulting model will quantify the magnitude and direction of interrelations among key variables and identify the environmental conditions that meaningfully alter probabilities of adolescent outcomes. Achieving these aims would be significant because it will re-orient the field in two ways: (1) address methodological bottlenecks (e.g., assess different technology types, use longitudinal rather than cross-sectional data) and (2) identify core etiological cascades of effects which the field can use to advance the content and timing of new screening and prevention programs.

项目摘要：从2009年到2019年，抑郁症和自杀率在美国高风险人群中增加了近40% 学校学生。然而，在同一时期，青少年使用大多数物质（例如，酒精， 处方药、吸入剂、摇头丸、可卡因和其他几种）减少了20- 40%。类似的趋势还有 几乎所有工业化的西欧和澳大拉西亚国家都有报告。重要的是， 物质使用和心理健康问题仍然是密切相关的， 这表明，其他因素一定是推动这些不同的青年趋势。数字技术是一种潜力 因为它们显著改变了青少年的环境，并可能影响青少年的行为， 健康和功能。然而，青少年技术使用、物质使用和精神 由于该领域过度依赖横截面数据和不准确的测量， 技术使用（例如，测量一般的“屏幕时间”，而不是测量何时、何地和多长时间 青少年使用特定的设备或平台）。此外，技术使用与物质之间的联系 使用或心理健康可能与许多其他生物心理社会因素（例如，生理性别， 父母和孩子的行为（也是必须考虑的）。这项探索性研究将产生一个新的， 青少年数字技术使用、物质使用和心理健康的衍生模型， 利用现有综合、黄金标准评估的独特组合 脑认知发育（ABCD）研究（n= 11，875）。将使用以下纵向数据进行分析： 青少年从9/10岁到14/15岁。在AIM 1中，我们将使用基于组的多轨迹建模来识别 纵向技术使用模式发展亚组的最优模型。在AIM 2中，我们将 确定目标1技术分组与物质使用纵向模式的关系是否不同， 心理健康问题在AIM 3中，我们将测试在AIM 2模型中观察到的关联的稳健性 通过检查模型中包括生物心理社会协变量的五个领域的统计影响：（1） 生物性别，（2）父母（例如，监测儿童的活动），（3）同伴（例如，同龄人物质使用），（4） 环境/背景（例如，（5）精神健康与物质使用的共病性。所得 模型将量化关键变量之间相互关系的大小和方向，并确定 环境条件，有意义地改变青少年的结果的概率。实现这些目标 意义重大，因为它将以两种方式重新定位该领域：（1）解决方法瓶颈 (e.g.,评估不同的技术类型，使用纵向而不是横截面数据）和（2）确定核心 该领域可用于推进新筛查的内容和时间的病因级联效应， 预防方案。