| Literature DB >> 32203154 |
Yuning Zhang1,2, Nilakshi Vaidya1,3, Vivek Benegal4, Gunter Schumann5,6,7, Udita Iyengar1, Eesha Sharma8, Bharath Holla9, Chirag K Ahuja10, Gareth J Barker11, Debasish Basu12, Rose Dawn Bharath13, Amit Chakrabarti14, Sylvane Desrivieres1, Paul Elliott15, Gwen Fernandes16, Amritha Gourisankar17, Jon Heron18, Matthew Hickman19, Preeti Jacob8, Sanjeev Jain9, Deepak Jayarajan9, Kartik Kalyanram17, Kamakshi Kartik17, Murali Krishna20, Ghattu Krishnaveni21, Keshav Kumar22, Kalyanaraman Kumaran21,23, Rebecca Kuriyan24, Pratima Murthy3,9, Dimitri P Orfanos25, Meera Purushottam26, Madhavi Rangaswamy27, Sunita Simon Kupard28, Lenin Singh29, Roshan Singh29, B N Subodh12, Kandavel Thennarasu30, Mireille Toledano15, Mathew Varghese9.
Abstract
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].Entities:
Mesh:
Year: 2020 PMID: 32203154 DOI: 10.1038/s41380-020-0656-1
Source DB: PubMed Journal: Mol Psychiatry ISSN: 1359-4184 Impact factor: 13.437