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      A practical guide for researchers and reviewers using the ABCD Study and other large longitudinal datasets

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          Abstract

          As the largest longitudinal study of adolescent brain development and behavior to date, the Adolescent Brain Cognitive Development (ABCD) Study® has provided immense opportunities for researchers across disciplines since its first data release in 2018. The size and scope of the study also present a number of hurdles, which range from becoming familiar with the study design and data structure to employing rigorous and reproducible analyses. The current paper is intended as a guide for researchers and reviewers working with ABCD data, highlighting the features of the data (and the strengths and limitations therein) as well as relevant analytical and methodological considerations. Additionally, we explore justice, equity, diversity, and inclusion efforts as they pertain to the ABCD Study and other large-scale datasets. In doing so, we hope to increase both accessibility of the ABCD Study and transparency within the field of developmental cognitive neuroscience.

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          Most cited references95

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          Racial Differences in Physical and Mental Health: Socio-economic Status, Stress and Discrimination.

          This article examines the extent to which racial differences in socio-economic status (SES), social class and acute and chronic indicators of perceived discrimination, as well as general measures of stress can account for black-white differences in self-reported measures of physical and mental health. The observed racial differences in health were markedly reduced when adjusted for education and especially income. However, both perceived discrimination and more traditional measures of stress are related to health and play an incremental role in accounting for differences between the races in health status. These findings underscore the need for research efforts to identify the complex ways in which economic and non-economic forms of discrimination relate to each other and combine with socio-economic position and other risk factors and resources to affect health.
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            Missing data: our view of the state of the art.

            Statistical procedures for missing data have vastly improved, yet misconception and unsound practice still abound. The authors frame the missing-data problem, review methods, offer advice, and raise issues that remain unresolved. They clear up common misunderstandings regarding the missing at random (MAR) concept. They summarize the evidence against older procedures and, with few exceptions, discourage their use. They present, in both technical and practical language, 2 general approaches that come highly recommended: maximum likelihood (ML) and Bayesian multiple imputation (MI). Newer developments are discussed, including some for dealing with missing data that are not MAR. Although not yet in the mainstream, these procedures may eventually extend the ML and MI methods that currently represent the state of the art.
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              Global Prevalence of Depressive and Anxiety Symptoms in Children and Adolescents During COVID-19 : A Meta-analysis

              Emerging research suggests that the global prevalence of child and adolescent mental illness has increased considerably during COVID-19. However, substantial variability in prevalence rates have been reported across the literature.
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                Author and article information

                Contributors
                Journal
                Dev Cogn Neurosci
                Dev Cogn Neurosci
                Developmental Cognitive Neuroscience
                Elsevier
                1878-9293
                1878-9307
                20 May 2022
                June 2022
                20 May 2022
                : 55
                : 101115
                Affiliations
                [a ]Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA
                [b ]Department of Psychology, University of Michigan, Ann Arbor, USA
                [c ]Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, UK
                [d ]Department of Psychology, University of Oregon, USA
                [e ]Institute of Education and Child Studies, Leiden University, The Netherlands
                [f ]Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
                [g ]Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
                [h ]Department of Psychological and Brain Sciences, University of Iowa, IA, USA
                [i ]Department of Neuroscience, University of Georgia, GA, USA
                [j ]Department of Psychology, University of California Riverside, Riverside, CA, USA
                [k ]Institute of Developmental Science, Northwestern University, Chicago, IL, USA
                [l ]Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Victoria, Australia
                [m ]PROMENTA Research Center, Department of Psychology, University of Oslo, Norway
                Author notes
                Article
                S1878-9293(22)00058-5 101115
                10.1016/j.dcn.2022.101115
                9156875
                35636343
                0fc6d8ff-adc5-4dd6-96ae-596eb91dc68b
                © 2022 The Authors

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 25 November 2021
                : 7 April 2022
                : 17 May 2022
                Categories
                Original Research

                Neurosciences
                adolescent brain cognitive development (abcd) study,adolescent development,longitudinal research,open research,practical guide

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