在社会中共同成长(GUTS):预测青春期和青年期社会轨迹的团队科学努力

IF 4.6 2区 医学 Q1 NEUROSCIENCES Developmental Cognitive Neuroscience Pub Date : 2024-06-01 DOI:10.1016/j.dcn.2024.101403
Eveline A. Crone , Thijs Bol , Barbara R. Braams , Mark de Rooij , Barbara Franke , Ingmar Franken , Valeria Gazzola , Berna Güroğlu , Hilde Huizenga , Hilleke Hulshoff Pol , Loes Keijsers , Christian Keysers , Lydia Krabbendam , Lucres Jansen , Arne Popma , Gert Stulp , Nienke van Atteveldt , Anna van Duijvenvoorde , René Veenstra
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引用次数: 0

摘要

我们的社会为青少年提供了多种多样的机会。为期 10 年的 "在社会中共同成长(GUTS)"计划的长期目标是了解哪种测量组合最能预测社会轨迹,如学业成功、心理健康、幸福感以及培养社会归属感。我们的主要假设是,自我调节是青少年成功应对当代社会需求的关键。我们的目标是通过社会经济、问卷调查(包括经验取样方法)、行为、大脑(fMRI、sMRI、EEG)、荷尔蒙和遗传等方面的测量方法,对包括青少年和年轻成年人在内的四个大型队列进行测试。其中两个队列被设计为测试和复制队列,以测试自我调节的发展轨迹,包括不同社会经济地位的青少年,从而将个人、家庭和社会视角联系起来。第三个队列由整个社会网络组成,目的是研究神经和自我调节能力的发展如何影响青少年和年轻人选择的交往对象,以及青少年和年轻人选择的交往对象如何影响神经和自我调节能力的发展。第四个队列包括有早期反社会和违法行为迹象的青少年,以了解处于自我调节和社会参与极端的个人的社会发展模式,并研究进入和退出违法行为的途径。我们将利用现有的大规模人群和病例对照队列数据来补充新收集的队列数据。这项研究采用跨学科方法,让利益相关者参与整个设计阶段,并在研究设计、数据收集和结果解释过程中特别注重公民科学和青少年的参与,以确保将研究成果最佳地转化为社会中的青少年。
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Growing Up Together in Society (GUTS): A team science effort to predict societal trajectories in adolescence and young adulthood

Our society faces a great diversity of opportunities for youth. The 10-year Growing Up Together in Society (GUTS) program has the long-term goal to understand which combination of measures best predict societal trajectories, such as school success, mental health, well-being, and developing a sense of belonging in society. Our leading hypothesis is that self-regulation is key to how adolescents successfully navigate the demands of contemporary society. We aim to test these questions using socio-economic, questionnaire (including experience sampling methods), behavioral, brain (fMRI, sMRI, EEG), hormonal, and genetic measures in four large cohorts including adolescents and young adults. Two cohorts are designed as test and replication cohorts to test the developmental trajectory of self-regulation, including adolescents of different socioeconomic status thereby bridging individual, family, and societal perspectives. The third cohort consists of an entire social network to examine how neural and self-regulatory development influences and is influenced by whom adolescents and young adults choose to interact with. The fourth cohort includes youth with early signs of antisocial and delinquent behavior to understand patterns of societal development in individuals at the extreme ends of self-regulation and societal participation, and examines pathways into and out of delinquency. We will complement the newly collected cohorts with data from existing large-scale population-based and case-control cohorts. The study is embedded in a transdisciplinary approach that engages stakeholders throughout the design stage, with a strong focus on citizen science and youth participation in study design, data collection, and interpretation of results, to ensure optimal translation to youth in society.

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来源期刊
CiteScore
7.60
自引率
10.60%
发文量
124
审稿时长
6-12 weeks
期刊介绍: The journal publishes theoretical and research papers on cognitive brain development, from infancy through childhood and adolescence and into adulthood. It covers neurocognitive development and neurocognitive processing in both typical and atypical development, including social and affective aspects. Appropriate methodologies for the journal include, but are not limited to, functional neuroimaging (fMRI and MEG), electrophysiology (EEG and ERP), NIRS and transcranial magnetic stimulation, as well as other basic neuroscience approaches using cellular and animal models that directly address cognitive brain development, patient studies, case studies, post-mortem studies and pharmacological studies.
期刊最新文献
Establishing a model of peer support for pregnant persons with a substance use disorder as an innovative approach for engaging participants in the healthy brain and child development study. Co-developing sleep-wake and sensory foundations for cognition in the human fetus and newborn. State-dependent inter-network functional connectivity development in neonatal brain from the developing human connectome project. How will developmental neuroimaging contribute to the prediction of neurodevelopmental or psychiatric disorders? Challenges and opportunities. Harmonizing multisite neonatal diffusion-weighted brain MRI data for developmental neuroscience.
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