Design and methodology for an integrative data analysis of coping power: Direct and indirect effects on adolescent suicidality.
Design and methodology for an integrative data analysis of coping power: Direct and indirect effects on adolescent suicidality.
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DOI：
10.1016/j.cct.2022.106705
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发表时间：
2022-04
影响因子：
2.2
通讯作者：
Yaros, Anna C.
中科院分区：
文献类型：
--
作者：
Morgan-Lopez, Antonio A.;McDaniel, Heather L.;Bradshaw, Catherine P.;Saavedra, Lissette M.;Lochman, John E.;Kaihoi, Chelsea A.;Powell, Nicole P.;Qu, Lixin;Yaros, Anna C.
关键词：
由于自杀率在过去十年中有所上升，因此更加强调针对青年和青少年自杀的早期风险条件，作为一种自杀“接种”形式。在这一新生文献中提出的两个特殊需求是：a）缺乏针对外化行为的对远端自杀风险的早期干预效果的检查，以及B）需要协调多个现有干预数据集，以便在对低基本率结局（如自杀行为）进行干预效果建模时更精确。该项目名为“应对能力（CP）的综合数据分析：对青少年自杀的影响”，由美国国家精神卫生研究所（NIMH）资助，将协调和分析来自11项CP随机对照试验的数据（总个人水平N = 3，183，总学校水平N = 189）。CP是一种以儿童和家庭为中心的预防性干预措施，其重点是在表现出早期攻击性的青少年中更广泛地减少外部化，这使得它非常适合针对外部化途径自杀。该项目利用了三个跨多个独立学科出现的测量和数据分析框架：综合数据分析（IDA），随机治疗效应多层次模型（RTE-MLM）和倾向评分加权（PSW）。如果成功，该项目将：a）提供初步证据，表明CP将通过减少男孩的外部化和减少女孩的内部化，对自杀行为产生性别特异性的间接影响; B）确定提供CP的最佳条件（例如，团体，个人，在线）在参与者之间减少自杀和其他关键中间终点。
As suicide rates have risen in the last decade, there has been greater emphasis on targeting early risk conditions for suicidality among youth and adolescents as a form of suicide “inoculation”. Two particular needs that have been raised in this nascent literature are a) the dearth of examination of early intervention effects on distal suicide risk that target externalizing behaviors and b) the need to harmonize multiple existing intervention datasets for greater precision in modeling intervention effects on low base rate outcomes such as suicidal behaviors. This project, entitled “Integrative Data Analysis of Coping Power (CP): Effects on Adolescent Suicidality”, funded by the National Institute of Mental Health (NIMH), will harmonize and analyze data from 11 randomized controlled trials of CP (total individual-level N = 3,183, total school-level N = 189). CP is an empirically-supported, child- and family-focused preventive intervention that focuses on reducing externalizing more broadly among youth who exhibit early aggression, which makes it ideally suited to targeting externalizing pathways to suicidality. The project utilizes three measurement and data analysis frameworks that have emerged across multiple independent disciplines: integrative data analysis (IDA), random treatment effects multilevel modeling (RTE-MLM), and propensity score weighting (PSW). If successful, the project will a) provide initial evidence that CP would have gender-specific indirect effects on suicidality through reductions in externalizing for boys and reductions in internalizing for girls and b) identify optimal conditions under which CP is delivered (e.g., groups, individuals, online) across participants on reductions in suicidality and other key intermediate endpoints.
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