Centre for Population Neuroscience and Precision Medicine (PONS), MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Centre for Innovation in Mental Health, School of Psychology, University of Southampton, Southampton, UK.
Mol Psychiatry. 2020 Aug;25(8):1618-1630. doi: 10.1038/s41380-020-0656-1. Epub 2020 Mar 12.
The global burden of disease attributable to externalizing disorders such as alcohol misuse calls urgently for effective prevention and intervention. As our current knowledge is mainly derived from high-income countries such in Europe and North-America, it is difficult to address the wider socio-cultural, psychosocial context, and genetic factors in which risk and resilience are embedded in low- and medium-income countries. c-VEDA was established as the first and largest India-based multi-site cohort investigating the vulnerabilities for the development of externalizing disorders, addictions, and other mental health problems. Using a harmonised data collection plan coordinated with multiple cohorts in China, USA, and Europe, baseline data were collected from seven study sites between November 2016 and May 2019. Nine thousand and ten participants between the ages of 6 and 23 were assessed during this time, amongst which 1278 participants underwent more intensive assessments including MRI scans. Both waves of follow-ups have started according to the accelerated cohort structure with planned missingness design. Here, we present descriptive statistics on several key domains of assessments, and the full baseline dataset will be made accessible for researchers outside the consortium in September 2019. More details can be found on our website [cveda.org].
归因于外化障碍（如酒精滥用）的全球疾病负担迫切需要有效的预防和干预。由于我们目前的知识主要来自欧洲和北美等高收入国家，因此难以解决风险和适应能力所嵌入的更广泛的社会文化、心理社会和遗传因素，这些因素在中低收入国家。c-VEDA 是第一个也是最大的基于印度的多地点队列研究，旨在调查外化障碍、成瘾和其他心理健康问题发展的脆弱性。该研究使用与中国、美国和欧洲的多个队列协调的统一数据收集计划，于 2016 年 11 月至 2019 年 5 月期间从七个研究地点收集了基线数据。在此期间，评估了 9010 名年龄在 6 至 23 岁之间的参与者，其中 1278 名参与者接受了更深入的评估，包括 MRI 扫描。根据加速队列结构和计划缺失设计，已经开始了两次随访。在此，我们介绍了评估的几个关键领域的描述性统计数据，并且将在 2019 年 9 月为联盟之外的研究人员提供完整的基线数据集。更多详细信息可以在我们的网站 [cveda.org] 上找到。
