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Dataset Information

Development and validation of a predictive model for suicidal thoughts and behaviors among freshmen.


ABSTRACT:

Background

There are fewer studies on prospective predictors of first-time suicidal thoughts and behaviors (STB) among first-year university students and fewer studies prospectively identifying and screening for those at high risk of suicide among college students. This study assessed the impact of prospective baseline variables on the risk of new STB onset among first-year university students over two years and developed a multivariate risk prediction model.

Methods

4,560 first-year university students (38.4% males, mean age:18.34) from China participated and completed this prospective cohort study over a three-year period from 2018 to 2020. LASSO regression, and logistic regression models under resilient networks, were used for risk predictor variable screening and final p

SUBMITTER: Qin Y 

PROVIDER: S-EPMC12013047 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature