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Autor/inn/en | Kirlic, Namik; Akeman, Elisabeth; DeVille, Danielle C.; Yeh, Hung-Wen; Cosgrove, Kelly T.; McDermott, Timothy J.; Touthang, James; Clausen, Ashley; Paulus, Martin P.; Aupperle, Robin L. |
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Titel | A Machine Learning Analysis of Risk and Protective Factors of Suicidal Thoughts and Behaviors in College Students |
Quelle | In: Journal of American College Health, 71 (2023) 6, S.1863-1872 (10 Seiten)
PDF als Volltext |
Zusatzinformation | ORCID (Kirlic, Namik) |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 0744-8481 |
DOI | 10.1080/07448481.2021.1947841 |
Schlagwörter | Suicide; Cognitive Processes; Student Behavior; Prevention; Risk; College Freshmen; Depression (Psychology); Severity (of Disability); Social Isolation; World Views; Affective Behavior; Interpersonal Relationship Selbstmord; Cognitive process; Kognitiver Prozess; Student behaviour; Schülerverhalten; Prävention; Vorbeugung; Risiko; Studienanfänger; Schweregrad; Soziale Isolation; World view; Weltanschauung; Affective disturbance; Active behaviour; Affektive Störung; Interpersonal relation; Interpersonal relations; Interpersonelle Beziehung; Zwischenmenschliche Beziehung |
Abstract | Objective: To identify robust and reproducible factors associated with suicidal thoughts and behaviors (STBs) in college students. Methods: 356 first-year university students completed a large battery of demographic and clinically-relevant self-report measures during the first semester of college and end-of-year (n = 228). Suicide Behaviors Questionnaire-Revised (SBQ-R) assessed STBs. A machine learning (ML) pipeline using stacking and nested cross-validation examined correlates of SBQ-R scores. Results: 9.6% of students were identified at significant STBs risk by the SBQ-R. The ML algorithm explained 28.3% of variance (95% CI: 28-28.5%) in baseline SBQ-R scores, with depression severity, social isolation, meaning and purpose in life, and positive affect among the most important factors. There was a significant reduction in STBs at end-of-year with only 1.8% of students identified at significant risk. Conclusion: Analyses replicated known factors associated with STBs during the first semester of college and identified novel, potentially modifiable factors including positive affect and social connectedness. (As Provided). |
Anmerkungen | Taylor & Francis. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2024/1/01 |