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，美国抑郁症和自杀率近40％ 学校学生。但是，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，可卡因等人降低了20-40％。类似的趋势也是如此 在几乎所有工业化的西欧和澳大利亚国家都有报道。重要的是， 药物使用和心理健康问题保持密切而正相关 - 表明其他因素必须推动这些不同的青年趋势。数字技术是一种潜力 解释是因为他们大大改变了年轻人的环境并可能影响青年的行为， 健康和功能。但是，青年技术使用，药物使用和精神的关系 由于该领域对横截面数据的过度依赖和不准确的测量值，因此健康状况尚不清楚 技术使用（例如，测量一般的“屏幕时间”，而不是测量何时，何时和多长时间 青年使用特定的设备或平台）。此外，技术使用与底物之间的关联 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，生物学性别， 同行和父母的行为）也必须考虑。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经验模型通过 在综合，金色标准评估的独特组合中倾斜 脑认知发展（ABCD）研究（n = 11,875）。分析将使用纵向数据进行 年轻人从9/10到14/15岁。在AIM 1中，我们将使用基于群体的多trajectory建模来识别 纵向技术的发展子组的最佳模型使用模式。在AIM 2中，我们将 确定目标1技术亚组在其与物质使用的纵向模式的关系上是否有所不同 心理健康问题。在AIM 3中，我们将测试AIM 2模型中观察到的关联的鲁棒性 通过检查在模型中包括五个生物心理社会协变量的统计影响：（1） 生物性别，（2）父母（例如，监测儿童活动），（3）同龄人（例如，同伴使用物质），（4） 环境/背景（例如，家庭收入）（5）心理健康和药物使用的合并症。结果 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了青少年结果的可能性。实现这些目标 之所以重要，是因为它将以两种方式重新定义该领域：（1）解决方法论瓶颈 （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 该领域可以用来推动新筛选的内容和时机的病因级联 预防计划。