TY - JOUR
PY - 2023//
TI - Identifying important predictors of adolescent suicide ideation, planning, and attempt in low- and middle-income countries
JO - Suicide and life-threatening behavior
A1 - Donnelly, Hayoung Kim
A1 - Richardson, Danielle
A1 - Solberg, V. Scott H.
SP - ePub
EP - ePub
VL - ePub
IS - ePub
N2 - 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.
Language: en
LA - en SN - 0363-0234 UR - http://dx.doi.org/10.1111/sltb.13032 ID - ref1 ER -