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: 10698049
• 负责人: Jacob T Borodovsky
• 金额: $ 20.5万
• 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/10698049
• 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; Country; Data; Data Set; Development; Devices; Disease; Drug Prescriptions; Environment; Etiology; European; Evaluation; Exhibits; Family; Frequencies; Future; Glean; Health; High School Student; Hour; Income; Industrialization; Inhalant dose form; Internet; Intoxication; 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; Sleep; Specificity; Statistical Methods; Subgroup; Technology; Testing; Text Messaging; Video Games; Youth; adolescent substance use; biological sex; biopsychosocial; biopsychosocial factor; clinically significant; cognitive development; comorbidity; digital technology; ecstasy; innovation; intervention refinement; parental monitoring; peer; screening program; social; social media; substance use; suicidal; 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，美国高中的抑郁和自杀人数增加了近40% 在校学生。然而，在同一时期，青少年使用大多数物质(如酒精、 处方药、吸入剂、摇头丸、可卡因等)减少了20%-40%。类似的趋势是 几乎所有工业化的西欧和澳大拉西亚国家都报告了这种情况。重要的是 物质使用和精神健康问题仍然存在强烈的正相关关系- 这表明，一定是其他因素在推动这些不同的年轻人趋势。数字技术是一种潜在的 解释说，因为它们显著改变了年轻人的环境，会影响年轻人的行为， 健康和正常运作。然而，青少年科技使用、物质使用和精神之间的关系 由于该领域过度依赖横断面数据和不准确的衡量标准，健康状况尚不清楚 技术使用(例如，测量一般的“屏幕时间”，而不是测量时间、地点和时间 年轻人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-社会因素有关(例如，生物性别， 同辈和父母的行为)，这也必须被考虑。这项探索性研究将产生一种新的， 青少年数字技术使用、物质使用和心理健康的经验性模型 充分利用提供的全面、黄金标准评估的独特组合 脑认知发育研究(ABCD)(n=11,875)。分析将使用以下纵向数据进行 从9/10岁到14/15岁。在目标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群的优化模型。在AIM 2中，我们将 确定目标1技术分组与物质使用的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 通过检验在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，(2)父母(例如，监测孩子的活动)，(3)同伴(例如，同伴物质使用)，(4) 环境/背景(如家庭收入)(5)精神健康和药物使用的共病。由此产生的 模型将量化关键变量之间相互关系的大小和方向，并确定 有意义地改变青少年结局概率的环境条件。实现这些目标 将具有重大意义，因为它将以两种方式重新定位该领域：(1)解决方法瓶颈 (例如，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 病因学效应的级联效应，该领域可用来推进新筛查的内容和时机 预防计划。