@article{ref1,
title="Applying a classification and regression tree approach to identify individual, socioenvironmental, and psychological interactions associated with suicidal ideation among Latinx adolescents",
journal="Journal of health and social sciences",
year="2021",
author="Boyas, Javier F. and Moon, Sung Seek and Kim, YOun Kyoung and Villareal-Otalora, Tatiana",
volume="6",
number="4",
pages="527-543",
abstract="INTRODUCTION: The present study sought to uncover previously unknown interactions stemming from individual, socioenvironmental, and psychological factors associated with suicidal ideation among Latinx adolescents using a classification and regression tree (CART) modeling approach.   Methods: This cross-sectional study included national data from a sample of 656 Latinx adolescents who participated in the 2018 National Survey on Drug Use and Health. Self-report data was collected on suicidal ideation, individual, socioenvironmental, and psychological factors.   Results: CART identified several interactions that classified Latinx adolescents as endorsing suicidal ideation. The first split identified parental monitoring as a significant predictor of suicidal ideation, successfully classifying over 50% of the sample (n = 360). The ensuing interaction occurred between lower parental monitoring and depression symptoms, followed by increased parental monitoring and BMI. Other interactions included sex, self-rated health, household size, and peer relationships. CART results suggest that BMI was the most influential variable associated with suicidal ideation, followed by self-rated health and parental monitoring.   Conclusion: Since suicidal thoughts and behaviors are malleable, utilizing an individual, socioenvironmental, and psychological framework would continue to provide comprehensive approaches to identifying data-driven interactions between risk and protective factors that may lessen the heightened risk of suicidal ideation among Latinx adolescents.<p />",
language="en",
issn="2499-2240",
doi="10.19204/2021/pply6",
url="http://dx.doi.org/10.19204/2021/pply6"
}