ArticleBMC psychiatry2025
Assessment and analysis of factors influencing suicidal ideation in young adults: a large cohort study using an elastic network logistic regression model.
Article in BMC psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Joint effects of sleep duration and sleep difficulty on suicidal ideation: evidence from NHANES 2005-2018.BMC psychiatry · 2026Article
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7 authors.
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Abstract
objectivesThis study aims to review and analyze factors associated with suicidal ideation to provide a rationale for subsequent effective interventions.
methodsData from this study were obtained from the Assessing Nocturnal Sleep/Wake Effects on Risk of Suicide (ANSWERS). The University of Arizona evaluated 404 young adults aged 18-25 years using different scales. Then, general demographic data was recorded. An elastic network (EN) was used to optimize feature selection, combined with logistic regression, to determine the influencing factors associated with SI in young adults.
resultsThe EN regression retained 11 potential influencing factors with nonzero coefficients. In the multivariate logistic regression analysis, INQ-15 perceived burdensomeness (PB) scores (OR: 1.10, 95% CI: 1.04-1.17), CESD depression mood scores (OR: 1.16, 95% CI: 1.07-1.26), and age (OR: 0.72, 95% CI: 0.55-0.94) were significant factors for SI.
conclusionsThis is the first study to use an Elastic Network logistic regression model to assess the factors affecting suicidal ideation in young adults. Perceived Burdensome, depression, and age play an important risk role and are the best predictor combination of suicidal ideation in young adults, with depression being the most significant risk factor. Increased focus on Perceived Burdensome and negative emotions, along with simultaneous interventions for other potentially influential factors, can be more effective in preventing suicidal behavior in young adults.
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