Journal article

A network analysis approach to ADHD symptoms: More than the sum of its parts

Timothy J Silk, Charles B Malpas, Richard Beare, Daryl Efron, Vicki Anderson, Philip Hazell, Brad Jongeling, Jan M Nicholson, Emma Sciberras



In interpreting attention-deficit/hyperactivity disorder (ADHD) symptoms, categorical and dimensional approaches are commonly used. Both employ binary symptom counts which give equal weighting, with little attention to the combinations and relative contributions of individual symptoms. Alternatively, symptoms can be viewed as an interacting network, revealing the complex relationship between symptoms. Using a novel network modelling approach, this study explores the relationships between the 18 symptoms in the Diagnostic Statistical Manual (DSM-5) criteria and whether network measures are useful in predicting outcomes. Participants were from a community cohort, the Children's Attention Proje..

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Awarded by National Medical Health and Research Council of Australia

Awarded by NHMRC

Funding Acknowledgements

The Children's Attention Project was as funded by the National Medical Health and Research Council of Australia (Project grant #1008522) and a grant from the Collier Foundation. The research was supported by the Murdoch Children's Research Institute, The Royal Children's Hospital, The Royal Children's Hospital Foundation, Department of Paediatrics at The University of Melbourne and the Victorian Government's Operational Infrastructure Support Program. TS and CM were supported by NHMRC project grant (1065895). VA was supported by an NHMRC Senior Practitioner Fellowship (1079478). JN was funded by the Australian Communities Foundation through the Roberta Holmes Chair for the Transition to Contemporary Parenthood Program (Coronella sub-fund). ES was supported by NHMRC Early Career (1037159) and Career Development (1110688) Fellowships. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.