@article{ref1,
title="Identifying Chinese adolescents with a high suicide attempt risk",
journal="Psychiatry research",
year="2018",
author="Xu, Yanjing and Wang, Chihhuan and Shi, Mengmeng",
volume="269",
number="",
pages="474-480",
abstract="Adolescent suicide has become a serious public health problem in China. Since suicide attempts are considered the strongest predictor of suicide completion, it is valuable to identify adolescents with a high suicide attempt risk. This study aimed to develop a decision tree model for the interactive prediction of high suicide attempt risk in Chinese adolescents. A classification tree analysis was conducted in a sample of senior high school students (N = 6,686) based on the CRUISE program. The results indicated that depression, anxiety, social support, gender, self-esteem, family cohesion and adaptability were significant predictors of high suicide attempt risk, and interactions among these predictors constructed a hierarchical decision tree model. The tree model offered a series of reliable rules to identify Chinese adolescents with high suicide attempt risk, for example, adolescents with high depression scores had the highest probability (69.22%) of having a suicide attempt, female adolescents with low social support and low depression scores had the second highest probability (57.58%), and adolescents with low anxiety, low family adaptability, and medium depression scores had the third highest probability (55.77%). These exploratory findings suggested that different screening criteria are needed to detect at-risk Chinese adolescents with different severities of depression.<br><br>Copyright © 2018. Published by Elsevier B.V.<p /> <p>Language: en</p>",
language="en",
issn="0165-1781",
doi="10.1016/j.psychres.2018.08.085",
url="http://dx.doi.org/10.1016/j.psychres.2018.08.085"
}