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

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Tác giả: Molly M Jacobs, Anne V Kirby, Jessica M Kramer, Nicole M Marlow

Ngôn ngữ: eng

Ký hiệu phân loại: 324.204 Relation of political parties to state and government

Thông tin xuất bản: Switzerland : Frontiers in psychiatry , 2025

Mô tả vật lý:

Bộ sưu tập: NCBI

ID: 687381

OBJECTIVES: To investigate individual, interpersonal, health system, and community factors associated with suicidal ideation (SI) and attempts (SA). METHODS: Utilizing nationally representative data from the National Longitudinal Study of Adolescent to Adult Health (7 RESULTS: 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. CONCLUSIONS: 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.
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