A machine learning analysis of suicidal ideation and suicide attempt among U.S. youth and young adults from multilevel, longitudinal survey data

A machine learning analysis of suicidal ideation and suicide attempt among U.S. youth and young adults from multilevel, longitudinal survey data

ObjectivesTo investigate individual, interpersonal, health system, and community factors associated with suicidal ideation (SI) and attempts (SA).MethodsUtilizing nationally representative data from the National Longitudinal Study of Adolescent to Adult Health (7th-12th graders in 1994-95 followed &...

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Bibliographic Details
Main Authors: Molly M. Jacobs, Anne V. Kirby, Jessica M. Kramer, Nicole M. Marlow
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Psychiatry
Subjects:
suicide attempt
suicidal ideation
adolescents and young adults
socioecological framework
machine learning
longitudinal data
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyt.2025.1511966/full
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