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Dataset Information

High suicidality predicts overdose events among people with substance use disorder: A latent class analysis.


ABSTRACT:

Introduction

Suicide is the tenth leading cause of death in the United States and continues to be a major public health concern. Suicide risk is highly prevalent among individuals with co-occurring substance use disorders (SUD) and mental health disorders, making them more prone to adverse substance use related outcomes including overdose. Identifying individuals with SUD who are suicidal, and therefore potentially most at risk of overdose, is an important step to address the synergistic epidemics of suicides and overdose fatalities in the United States. The current study assesses whether patterns of suicidality endorsement can indicate risk for substance use and overdose.

Methods

Latent class analysis (LCA) was used to assess patterns of item level responses to the Concise

SUBMITTER: Schmidt RD 

PROVIDER: S-EPMC10228506 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature