• J Clin Psychiatry · Jul 2017

    A Risk Algorithm for the Persistence of Suicidal Thoughts and Behaviors During College.

    • Philippe Mortier, Glenn Kiekens, Randy P Auerbach, Pim Cuijpers, Koen Demyttenaere, Jennifer G Green, Ronald C Kessler, Matthew K Nock, Alan M Zaslavsky, and Ronny Bruffaerts.
    • Research Group Psychiatry, Department of Neurosciences, KU Leuven University, Herestraat 49, Leuven, Belgium. philippe.mortier@uzleuven.be.
    • J Clin Psychiatry. 2017 Jul 1; 78 (7): e828-e836.

    ObjectiveThe primary aims of this study are to (a) identify patterns of suicidal thoughts and behaviors (STB) during college among students with lifetime pre-matriculation STB and (b) develop a risk-screening algorithm for persistence of pre-matriculation STB during college.MethodsData come from the Leuven College Surveys, a series of prospective cohort studies of all incoming KU Leuven University freshmen. In the academic year 2012-2013, 4,889 incoming freshmen (73.2% response rate) provided baseline data on sociodemographic variables, childhood-adolescent traumatic experiences, 12-month stressful experiences, 12-month mental disorders, 12-month STB, and severity markers of pre-matriculation STB. A total of 2,566 students (69.3% conditional response rate) participated in 12- and 24-month follow-up surveys during the first 2 college years.ResultsThirteen percent (weighted n = 535) of incoming freshmen reported lifetime pre-matriculation STB. Of those, 28.0% reported 12-month STB in 1 follow-up assessment, and another 27.7%, in both follow-up assessments. High persistence of STB (ie, 12-month STB in 2 follow-up assessments) was most strongly associated with severity markers of pre-matriculation STB, with odds ratios in the 2.4-10.3 range and population attributable risk proportions between 9.2% and 50.8%. When the aim was for less than 50% of false-positive cases (positive predictive value = 54.4%), a multivariate predictive risk algorithm (cross-validated area under the curve = 0.79) situated 59.9% of highly persistent cases among the 30% respondents with highest baseline predicted risk.ConclusionsAn individualized web-based screening approach is a promising strategy to identify students at the time of university entrance who may be at high risk for STB persistence during their academic career.© Copyright 2017 Physicians Postgraduate Press, Inc.

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