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Guiding prevention initiatives by applying network analysis to systems maps of adverse childhood experiences and adolescent suicide

Bibliographic Data

ID6161674
AuthorsBenjamin D Maldonado (Miami University), Ryan Schuerkamp (0000-0003-3342-0135, Miami University), Cassidy M Martins, Cassidy M Martin (Miami University), Ketra L Rice (0000-0003-2921-4507, Centers for Disease Control and Prevention), Nisha Nataraj (0000-0003-0547-7214, Centers for Disease Control and Prevention), Margaret M Brown (0000-0001-9509-6671, United States Department of Defense), Christopher R Harper (0000-0002-1221-4968, Centers for Disease Control and Prevention), Curtis Florence (0000-0001-5767-1655, Centers for Disease Control and Prevention), Philippe J Giabbanelli (0000-0001-6816-355X, Miami University, corresponding author)
Year2024
Volume12
Issue3
Pages234-260
Publication date2024-05-24
Open AccessYes
TypeARTICLE
VenueNetwork Science (JOURNAL)
Journal identifiersISSN: 2050-1250 • E-ISSN: 2050-1242
PublisherCambridge University Press (PUBLISHER • US)
DOI10.1017/nws.2024.8
PMID39664320
OpenAlexW4398782544
LanguageEN
References cited71

Suicide is a leading cause of death in the United States, particularly among adolescents. In recent years, suicidal ideation, attempts, and fatalities have increased. Systems maps can effectively represent complex issues such as suicide, thus providing decision-support tools for policymakers to identify and evaluate interventions. While network science has served to examine systems maps in fields such as obesity, there is limited research at the intersection of suicidology and network science. In this paper, we apply network science to a large causal map of adverse childhood experiences (ACEs) and suicide to address this gap. The National Center for Injury Prevention and Control (NCIPC) within the Centers for Disease Control and Prevention recently created a causal map that encapsulates ACEs and adolescent suicide in 361 concept nodes and 946 directed relationships. In this study, we examine this map and three similar models through three related questions: (Q1) how do existing network-based models of suicide differ in terms of node- and network-level characteristics? (Q2) Using the NCIPC model as a unifying framework, how do current suicide intervention strategies align with prevailing theories of suicide? (Q3) How can the use of network science on the NCIPC model guide suicide interventions

Adverse Childhood Experiences · Medical emergency · Mental health · Poison control · Psychiatry · Suicide prevention · Child and Adolescent Psychosocial and Emotional Development · Community Health and Development · Computer Science · Medicine · Mental Health Research Topics · Psychology

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