Identifying important predictors of adolescent suicide ideation, planning, and attempt in low- and middle-income countries

Hayoung Kim Donnelly; Danielle Richardson; V Scott H Solberg

doi:10.1111/sltb.13032

Identifying important predictors of adolescent suicide ideation, planning, and attempt in low- and middle-income countries

Suicide Life Threat Behav. 2023 Dec 11. doi: 10.1111/sltb.13032. Online ahead of print.

Authors

Hayoung Kim Donnelly¹, Danielle Richardson¹, V Scott H Solberg¹

Affiliation

¹ Department of Counseling Psychology and Applied Human Development, Boston University, Boston, Massachusetts, USA.

PMID: 38078537
DOI: 10.1111/sltb.13032

Abstract

Introduction: Over 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).

Method: Using 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.

Results: Results 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.

Conclusion: These findings provide insights into the unique needs in global mental health policy and efforts within and across adolescents in LMIC.

Keywords: Random Forest; adolescents; low- and middle-income countries; machine learning; suicide.