Netting prevention intervention butterfly effects: An integrative data analysis investigating the long-term and cross-over effects of randomized,school-based prevention programs on adult mental health

网络预防干预蝴蝶效应：综合数据分析，调查随机、基于学校​​的预防计划对成人心理健康的长期和交叉影响

• 批准号: 10304845
• 负责人: Rashelle Jean Musci
• 金额: $ 71.01万
• 依托单位: JOHNS HOPKINS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-02-01 至 2024-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10304845
• 关键词: Accounting; Adult; Aggressive behavior; Anxiety; Attention; Behavior; Behavior Therapy; Butterflies; Cessation of life; Childhood; Complex; Data; Data Aggregation; Data Analyses; Data Linkages; Data Set; Diagnosis; Disease; Distal; Early Intervention; Educational workshop; Ethnic group; Family; Feeling suicidal; Goals; Heterogeneity; Intervention; Intervention Trial; Link; Mediation; Mediator of activation protein; Mental Depression; Mental Health; Mental disorders; Methodology; Modeling; National Institute of Mental Health; Nature; Outcome; Participant; Pathway interactions; Prevention; Prevention program; Prevention trial; Primary Schools; Principal Investigator; Process; Psychoses; Psychotic Disorders; Randomized; Randomized Controlled Trials; Risk Factors; Schools; Science; Sex Orientation; Social support; Structure; Students; Suicide prevention; Symptoms; United States National Institutes of Health; Youth; alcohol misuse; anxiety symptoms; base; data archive; data harmonization; depressive symptoms; deviant peer; drug misuse; early childhood; elementary school; emerging adult; follow-up; interest; knowledge base; longitudinal analysis; member; multilevel analysis; novel; prevent; preventive intervention; programs; psychotic symptoms; racial and ethnic; response; sex; social integration; suicidal behavior; teacher; treatment effect; universal prevention

Project Summary The goal of this application, submitted in response to RFA-MH-20-110, “Secondary Data Analysis to Examine Long-Term and/or Potential Cross-Over Effects of Prevention Interventions: What are the Benefits for Preventing Mental Health Disorders?,” is to leverage data from existing prevention intervention trials with longitudinal follow-up to answer key questions about the long-term impacts of prevention intervention trials. Aggregating these data sets will allow for novel secondary data analyses which will enhance our understanding of intervention impacts on 1) suicidal behaviors, 2) depression and anxiety symtoms and diagnoses, and 3) psychosis symptoms. There is a pressing need to link and harmonize data from primary school universal prevention trials with longitudinal follow-up including suicide (ideation, attempt, and death) and mental health diagnoses (including depression, anxiety, and psychosis) to understand how changing trajectories of key risk factors for these outcomes (social support, deviant peer affiliation) prevents the occurrence of the negative outcomes described above. Many of the existing prevention trials are not large enough to find an impact on rare outcomes, and even less powered to explore treatment effect heterogeneity. Our objective is to link and harmonize data from six randomized controlled trials with preventive interventions focused on reducing disruptive and aggressive behavior in early childhood to understand the long-term impacts of universal prevention programs on key outcomes in early adulthood including suicidal behaviors, depression and anxiety symtoms and diagnoses, and psychosis symptoms. Data will be utilized from the Fast Track Project (Bierman et al., 2004), the Good Behavior Game trials (Kellam et al., 2008; Ialongo et al., 1999; Ialongo et al., 2019), the SAFEChildren Trial (Tolan et al., 2004), and the Linking the Interests of Families and Teachers Study (LIFT; Eddy et al., 2000; Reid et al., 1999). Our hypothesis is that with a harmonized dataset, there will be sufficient power to identify prevention program impacts into adulthood and as such we will find impacts of these programs beyond what was originally targeted. Our rationale is that with at least 10,000 participants across all studies, linkage and harmonizing data will allow for more complex, multifactorial, multi-level analyses to explore intervention impact on suicidal behaviors, depression and anxiety symtoms and diagnoses, and psychosis symptoms as well as potential mediators and moderators of impact.

项目摘要 该应用程序的目的是响应RFA-MH-20-110提交的，“辅助数据分析 检查预防干预措施的长期和/或潜在的跨界影响：什么是 预防心理健康障碍的好处吗？”是要利用现有预防的数据 干预试验和纵向随访，以回答有关长期影响的关键问题 预防干预试验。汇总这些数据集将允许进行新颖的辅助数据分析 将增强我们对干预对1）自杀行为的影响的理解，2）抑郁和动画 Symtoms和Diagnostics，以及3）精神病症状。迫切需要链接和协调数据 小学通用预防试验，并进行纵向随访，包括自杀（构想，尝试和 死亡）和心理健康诊断（包括抑郁症，动画和精神病），以了解如何改变 这些结果的关键风险因素的轨迹（社会支持，异常同伴会员）阻止了 上述负面结果的发生。许多现有的预防试验并不大 足以发现对罕见结果的影响，甚至更少用于探索治疗效果异质性的动力。 我们的目标是将六个随机对照试验的数据与预防链接和协调 干预措施的重点是减少幼儿时期的破坏性和侵略性行为 通用预防计划对成年早期关键结果的长期影响 自杀行为，抑郁和动画以及精神病症状。数据将 可以从快速轨道项目（Bierman等，2004），良好的行为游戏试验中使用（Kellam等，， 2008; Ialongo等，1999; Ialongo等人，2019年），《 Safechildren试验》（Tolan等，2004），以及联系 家庭和教师研究的兴趣（Lift； Eddy等，2000； Reid等，1999）。我们的假设是 一个统一的数据集，将有足够的能力来识别预防计划的影响到成年和 因此，我们将发现这些计划的影响超出了最初的目标。我们的理由是 在所有研究中，至少有10,000名参与者，链接和协调数据将允许更复杂， 多因素，多层次分析，以探索干预对自杀行为，抑郁和抑郁症的影响 焦虑症状和诊断，精神病症状以及潜在的调解人和 影响的主持人。

项目成果

Ineligibility for and Refusal to Participate in Randomized Controlled Trials That Have Studied Impact on Suicide-Related Outcomes in the United States: A Meta-Analysis.

没有资格和拒绝参加研究美国自杀相关结果影响的随机对照试验：荟萃分析。

• DOI: 10.4088/jcp.20r13798
• 发表时间: 2022
• 期刊: The Journal of clinical psychiatry
• 作者: Susukida,Ryoko;Amin-Esmaeili,Masoumeh;Ryan,TaylorC;Kharrazi,Hadi;Wilson,ReneeF;Musci,RashelleJ;Zhang,Allen;Wissow,Lawrence;Robinson,KarenA;Wilcox,HollyC
• 通讯作者: Wilcox,HollyC