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Psychiatry"],"abstract":"<jats:sec><jats:title>Objectives<\/jats:title><jats:p>To investigate individual, interpersonal, health system, and community factors associated with suicidal ideation (SI) and attempts (SA).<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Utilizing nationally representative data from the National Longitudinal Study of Adolescent to Adult Health (7<jats:sup>th<\/jats:sup>-12<jats:sup>th<\/jats:sup> graders in 1994-95 followed &amp;gt;20 years until 2016-18, N=18,375), least absolute shrinkage selector operator (LASSO) regression determined multilevel predictors of SA and SI. Models comprised full and diagnosis subgroups (ADD\/ADHD, depression, PTSD, anxiety, learning disabilities [LD]).<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Approximately 2.48% and 8.97% reported SA and SI, respectively. Over 25% had depression, and 20.98% anxiety, 6.42% PTSD, 4.55% ADD\/ADHD, and 2.50% LD. LASSO regression identified 20 and 21 factors associated with SA and SI. Individual-level factors associated with SI and SA included educational attainment, substance use, ADD\/ADHD, depression, anxiety, and PTSD. Interpersonal-level factors included social support, household size, and parental education, while health system-level factors comprised health care receipt, health insurance, and counseling. The strongest associations were among individual-level factors followed by interpersonal and health system factors.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>The distinct factors associated with SI and SA across diagnostic subgroups highlight the importance of targeted, subgroup-specific suicide prevention interventions. These findings emphasize the value of precise, data-driven approaches for suicide prevention among diverse populations and individuals with disabilities across the life-course.<\/jats:p><\/jats:sec>","DOI":"10.3389\/fpsyt.2025.1511966","type":"journal-article","created":{"date-parts":[[2025,2,24]],"date-time":"2025-02-24T06:30:52Z","timestamp":1740378652000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":10,"title":["A machine learning analysis of suicidal ideation and suicide attempt among U.S. youth and young adults from multilevel, longitudinal survey data"],"prefix":"10.3389","volume":"16","author":[{"given":"Molly M.","family":"Jacobs","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anne V.","family":"Kirby","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jessica 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