保护因素
心理学
决策树
性少数派
性取向
临床心理学
发展心理学
社会心理学
医学
计算机科学
人工智能
内科学
作者
Xavier X. WANG,Zidong Zhang,Mireille Cosquer,Quan Gan,Catherine JOUSSELME,Emmanuelle Corruble,Bruno Falissard,Florence Gressier
出处
期刊:Minerva psychiatry
[Edizioni Minerva Medica]
日期:2023-12-01
卷期号:64 (4)
标识
DOI:10.23736/s2724-6612.22.02347-8
摘要
BACKGROUND: Sexual minority adolescents have greater risk for suicide attempt (SA) than heterosexual youth. However, research on risk and protective factors is lacking in sexual minority youth. In this study, we aimed to identify novel risk and protective factors for suicide attempt using machine learning decision tree method.METHODS: The French cross-sectional study Portraits d’adolescents included 14,265 aged 13-20 years old adolescents. Decision tree algorithm was used to predict SA and to compare the different risk and protective factors between sexual minority youth and heterosexual peers.RESULTS: Twenty predictive factors were identified among the 70 survey fields output from the predictive modeling for SA. Substance consumptions were among the top risk factors for SA. Parental support was an important protective factor among all adolescents regardless of sexual orientation. Interestingly, through the decision tree, real-life friend support was found protective in heterosexual youth, online friend support was a protective factor in homosexual adolescents.CONCLUSIONS: Using the decision tree-based algorithm, we not only verified those important protective factors that were demonstrated in existing studies, but also discovered novel protective and attributive factors, such as real-life and online friend support. We urge that social networks should be optimized to provide safety and support for the sexual minority adolescents.
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