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October 19, 2025BMC PsychiatryOpen Access

Prediction of suicidal ideation and depression in the general population with subthreshold insomnia using machine learning models

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Authors

PPPolona Rus PrelogTMTeodora MatićPPPeter Pregelj

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Overview

Logistic regression models predict suicidal ideation and depression in individuals with insomnia, suggesting effective screening methods.

Key Points

  • Models demonstrate strong performance predicting suicidal ideation, with an AUROC of 0.78 in insomnia cases.
  • The predictive model for depression also shows an AUROC of 0.79, indicating reliability in different groups.
  • Logistic regression methods were applied to a dataset of 2,989 individuals to assess predictors for mental health issues.
  • Early detection of suicidality and depression may reduce morbidity and mortality, especially in high-risk insomnia populations.

Cite This Study

Prelog et al. (2025) studied this question.

synapsesocial.com/papers/68f500b442a2eee15b0a0e63https://doi.org/10.1186/s12888-025-07451-6
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