TY  - JOUR
PY  - 2024//
TI  - Using recursive partitioning to predict presence and severity of suicidal ideation amongst college students
JO  - Journal of American college health
A1  - McCool, Matison W.
A1  - Schwebel, Frank J.
A1  - Pearson, Matthew R.
A1  - Wong, Maria M.
SP  - ePub
EP  - ePub
VL  - ePub
IS  - ePub
N2  - OBJECTIVE: Predicting the presence and severity of suicidal ideation in college students is important, as deaths by suicide amongst young adults have increased in the past 20 years. PARTICIPANTS: We recruited college students (N = 5494) from ten universities across eight states. <br><br>METHOD: Participants answered three questionnaires related to lifetime and past month suicidal ideation, and an indicator of suicidal ideation in a DSM-5 symptom measure. We used recursive partitioning to predict the presence, absence, and severity, of suicidal ideation. <br><br>RESULTS: Recursive partitioning models varied in their accuracy and performance. The best-performing model consisted of predictors and outcomes measured by the DSM-5 Level 1 Cross-Cutting Symptom Measure. Sexual orientation was also an important predictor in most models. <br><br>CONCLUSIONS: A single measure of DSM-5 symptom severity may help universities understand suicide severity to promote targeted interventions. Though further work is needed, as similar scaling amongst predictors could have influenced the model.<p />  <p>Language: en</p>
LA  - en
SN  - 0744-8481
UR  - http://dx.doi.org/10.1080/07448481.2024.2351419
ID  - ref1
ER  -