TY  - JOUR
PY  - 2017//
TI  - A Risk Algorithm for the Persistence of Suicidal Thoughts and Behaviors During College
JO  - Journal of clinical psychiatry
A1  - Mortier, Philippe
A1  - Kiekens, Glenn
A1  - Auerbach, Randy P.
A1  - Cuijpers, Pim
A1  - Demyttenaere, Koen
A1  - Green, Jennifer G.
A1  - Kessler, Ronald C.
A1  - Nock, Matthew K.
A1  - Zaslavsky, Alan M.
A1  - Bruffaerts, Ronny
SP  - e828
EP  - e836
VL  - 78
IS  - 7
N2  - OBJECTIVE: The 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.  METHODS: Data 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.  RESULTS: Thirteen 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.  CONCLUSIONS: An 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.<p /> <p>Language: en</p>
LA  - en
SN  - 0160-6689
UR  - http://dx.doi.org/10.4088/JCP.17m11485
ID  - ref1
ER  -