Journal article
Classification of suicidal thoughts and behaviour in children: results from penalised logistic regression analyses in the Adolescent Brain Cognitive Development study
LS Van Velzen, YJ Toenders, A Avila-Parcet, R Dinga, JA Rabinowitz, AI Campos, N Jahanshad, ME Rentería, L Schmaal
British Journal of Psychiatry | CAMBRIDGE UNIV PRESS | Published : 2022
DOI: 10.1192/bjp.2022.7
Abstract
Background Despite efforts to predict suicide risk in children, the ability to reliably identify who will engage in suicide thoughts or behaviours has remained unsuccessful. Aims We apply a novel machine-learning approach and examine whether children with suicide thoughts or behaviours could be differentiated from children without suicide thoughts or behaviours based on a combination of traditional (sociodemographic, physical health, social-environmental, clinical psychiatric) risk factors, but also more novel risk factors (cognitive, neuroimaging and genetic characteristics). Method The study included 5885 unrelated children (50% female, 67% White, 9-11 years of age) from the Adolescent Bra..
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Awarded by National Institutes of Health
Funding Acknowledgements
This work was supported by the MQ Brighter Futures Award MQBFC/2 (LS) and the National Institute of Mental Health of the National Institutes of Health under Award Number R01MH117601 (L.S., N.J.). L.S. is supported by a NHMRC Career Development Fellowship (1140764). Data used in the preparation of this article were obtained from the Adolescent Brain Cognitive DevelopmentSM (ABCD) study (https://abcdstudy.org), held in the NIMH Data Archive (NDA). This is a multisite, longitudinal study designed to recruit more than 10 000 children age 9-10 and follow them over 10 years into early adulthood. The ABCD study is supported by the National Institutes of Health and additional federal partners under award numbers U01DA0401048, U01DA050989, U01DA051016, U01DA041022, U01DA051018, U01DA051037, U01DA050987, U01DA041174, U01DA041106, U01DA041117, U01DA041028, U01DA041134, U01DA050988, U01DA051039, U01DA041156, U01DA041025, U01DA041120, U01DA051038,U01DA041148, U01DA041093, U01DA041089, U24DA041123, U24DA041147. A full list of supporters is available at https://abcdstudy.org/federal-partners.html.A listing of participating sites and a complete listing of the study investigators can be found at https://abcdstudy.org/consortium_members/.ABCD consortium investigators designed and implemented the study and/or provided data but did not necessarily participate in analysis or writing of this report. This manuscript reflects the views of the authors and may not reflect the opinions or views of the NIH or ABCD consortium investigators. The ABCD repository grows and changes over time. The ABCD data used in this report came from 10.15154/1520786. DOIs can be found at nda.nih.gov.