Impact of the Coronavirus Pandemic on Alcohol Consumption and Mental Health in Young People

项目摘要/摘要 新冠肺炎疫情最恰当的描述是一场灾难，其对个人的影响是史无前例的。 社会和经济。特别要考虑的是大流行对心理健康的影响 以及年轻人的行为。在这里，我们建议利用纵向的、多地点的国家财团 酒精与青少年神经发育(NCANDA)研究(2012-2022年) 幸福感和行为，重点是酒精使用以应对大流行，在建立的样本中 年轻人，包括中度重度吸毒者和有饮酒风险的人，并确定风险和防护措施 应对大流行的痛苦因素。使用NCANDA，我们能够直接处理研究 NOSI NOT-OD-20-097的目标是了解遏制对社会、行为和经济的影响 以及为减少新冠肺炎疾病的传播和下游健康而实施的缓解努力 评估包括药物使用/滥用在内的影响，并确定风险和复原力因素及结果。 与这一领域的大多数研究不同，NCANDA包括对补充临床和 自我报告数据，以了解导致和发生灾难的复杂和动态的相互作用。 此外，由于其加速的纵向设计和当前参与者的年龄跨度为17-28岁，NCANDA 与传统的同龄队列设计不同，它具有独特的能力来理清与年龄和流行病相关的影响。 我们建议在NCANDA项目的基础上进行一项简短的新冠肺炎调查，内容涉及饮酒、情绪和 大流行期间的其他行为以及接触新冠肺炎和大流行相关的痛苦， 于2020年6月向参与者发放。为了跟踪新冠肺炎大流行的长期影响，调查将 将在2020年冬季和2021年夏季重新实施。 通过将这项与大流行时间相关的调查嵌入到现有的NCANDA数据集中，我们建议 新冠肺炎大流行对年轻人饮酒、心理健康和大脑的影响 (目标1)以及评估新冠肺炎大流行相关痛苦的风险和复原力因素(目标2)。我们建议 使用先进的分析方法，包括机器学习方法，从富人那里识别出“签名” 在新冠肺炎大流行之前，通过神经成像、临床和自我报告数据收集的信息，预测 新冠肺炎大流行面前的忧伤与韧性。一种机器学习方法包含 新冠肺炎大流行相关影响的复杂性，并利用 NCANDA数据集。 本附录中建议的分析将在一个具有良好特征的样本中提供有价值的纵向数据 将发育年限过渡到成年期的年轻人，包括那些患有或 目前大量饮酒的人。这些信息可用于指导公共卫生和干预策略 在未来发生灾难时使脆弱的年轻人口受益。

PROJECT SUMMARY / ABSTRACT The COVID-19 pandemic, best characterized as a disaster, is unprecedented in its impact on individuals, societies, and the economy. Of special consideration is the effect of the pandemic on the psychological wellbeing and behavior of young people. Here, we propose leveraging the longitudinal, multi-site National Consortium on Alcohol and Neurodevelopment in Adolescence (NCANDA) study (2012-2022) to investigate changes in wellbeing and behaviors, with a focus on alcohol use in response to the pandemic, in an established sample of young people including moderate-heavy users and those at risk for alcohol use, and to identify risk and protective factors for distress in response to the pandemic. Using NCANDA, we are able to directly address research objectives of NOSI NOT-OD-20-097 to understand social, behavioral and economic impacts from containment and mitigation efforts implemented to reduce spread of the COVID-19 disease, as well as downstream health impacts including substance use/abuse, and to determine risk and resiliency factors and outcomes. Unlike most research in this area, NCANDA includes neurobiological data critical to complement clinical and self-report data in understanding the complex and dynamic interactions leading up to and following a disaster. Also, with its accelerated longitudinal design and current age of participants spanning 17-28 years old, NCANDA is uniquely powered to disentangle age and pandemic related effects, unlike traditional same-age cohort designs. We propose supplementing the NCANDA project with a brief COVID-19 survey about alcohol use, mood, and other behaviors during the pandemic as well as COVID-19 exposure and pandemic-related distress, administered to participants in June 2020. To track long-term effects of the COVID-19 pandemic, the survey will be re-administered in Winter 2020 and Summer 2021. By embedding this survey, time-linked to the pandemic, within the existing NCANDA dataset, we propose characterizing the impact of the COVID-19 pandemic on alcohol use, mental health, and brain in young people (Aim 1) and to evaluate risk and resilience factors for COVID-19 pandemic-related distress (Aim 2). We propose using advanced analytics, including machine learning approaches, to identify a `signature' from the rich information captured by neuroimaging, clinical and self-report data prior to the COVID-19 pandemic, that predicts distress versus resilience in the face of the COVID-19 pandemic. A machine-learning approach embraces the complexity of the COVID-19 pandemic-related influence and takes advantage of the multi-domains within the NCANDA dataset. The analysis proposed in this supplement will offer valuable longitudinal data in a well-characterized sample of young people who are bridging developmental years into adulthood and that includes those at high risk for, or current heavy users of, alcohol. Such information can be used to guide public health and intervention strategies to benefit vulnerable young populations in the event of future disasters.