@article{ref1,
title="Predicting planned suicide attempts with the Columbia-Suicide Severity Rating Scale: a subanalysis of the 2013 Korea National Suicide Survey on Emergency Department Visitors",
journal="Journal of nervous and mental disease",
year="2019",
author="Park, C. Hyung Keun and Kim, Hyeyoung and Kim, Bora and Kim, Eun Young and Lee, Hyun Jeong and Kim, Daewook and Ahn, Yong Min",
volume="207",
number="2",
pages="59-68",
abstract="Identifying predictors of planned suicide attempts (PSA) is critical because these are associated with grave consequences. Using data of suicide attempters visiting emergency departments, we investigated whether the Columbia-Suicide Severity Rating Scale (C-SSRS) subscales, by retrospectively evaluating ideation before an attempt, could predict the occurrence of PSA versus unplanned suicide attempts using logistic regression analyses. The severity subscale was used as a continuous (model A) and a categorical (model B) variable. In model A, higher scores on each subscale were associated with increased risk of PSA. In model B, the highest score on the severity subscale and a higher intensity subscale score predicted PSA. The severity and intensity subscales had areas under receiver operating curves of 0.712 and 0.688 with optimum cutoff points of 4/5 and 15/16, respectively. In addition, being aged 30 to 49 and 50 to 69 years, being male, interpersonal stress, and depressive and adjustment disorders increased PSA risk. The C-SSRS subscales, along with sociodemographic and clinical risk factors, can predict PSA.<p /> <p>Language: en</p>",
language="en",
issn="0022-3018",
doi="10.1097/NMD.0000000000000921",
url="http://dx.doi.org/10.1097/NMD.0000000000000921"
}