Abstract
AbstractIntroductionOver 90% of all adolescent suicides occur in low‐ and middle‐income countries (LMIC), yet the majority of suicide research has focused on primarily high‐income countries (HIC).MethodUsing nationally representative data on 82,494 adolescents from thirty‐four LMIC, this research employed machine learning to compare the predictive effects of multiple determinants of suicidal behaviors previously identified in the literature.ResultsResults indicate that distinct predictors are present for suicidal ideation, suicidal planning, and suicide attempts in youth living in LMIC as well as shared predictors common to all three behaviors.ConclusionThese findings provide insights into the unique needs in global mental health policy and efforts within and across adolescents in LMIC.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.