Bypassing the waitlist: examining barriers and facilitators of help-line utilization among college students with depression symptoms

Using recursive partitioning to predict presence and severity of suicidal ideation amongst college students

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.

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.

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.

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.

Beyond Sociodemographic and COVID-19-Related Factors: The Association Between the Need for Psychological and Information Support from School and Anxiety and Depression

BACKGROUND In addition to sociodemographic and COVID-19- related factors, the needs of school support, including material, psychological and information support, have seldom been discussed as factors influencing anxiety and depression among college students during the COVID-19 pandemic. MATERIAL AND METHODS In this cross-sectional study, 3351 college students from China were surveyed through questionnaires about their sociodemographic and COVID-19 characteristics, the needs of school support, and their experiences with anxiety and depression. RESULTS Anxiety and depression were reported by 6.88% and 10.50% of students, respectively. Married, higher education, non-medical, and urban students had significantly higher risks of anxiety or depression. Additionally, symptoms such as cough and fever, especially when following a possible contact with suspected individuals, quarantine history of a personal contact, going out 1-3 times a week, not wearing a mask, and spending 2-3 hours browsing COVID-19-related information were significantly associated with the occurrence of anxiety or depression. Those who used methods to regulate their emotional state, used a psychological hotline, and who had visited a psychiatrist showed higher anxiety or depression. Those who used online curricula and books, used preventive methods for COVID-19, and who had real-time information about the epidemic situation of the school showed lower anxiety and depression. CONCLUSIONS In addition to sociodemographic and COVID-19-related aspects, students' needs for psychological assistance and information from schools were also associated with anxiety and depression among college students.