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ABSTRACT: Background and aims
Persons with substance use disorders (SUDs) are at elevated risk of suicide death. We identified novel risk factors and interactions that predict suicide among men and women with SUD using machine learning.Design
Case-cohort study.Setting
Denmark.Participants
The sample was restricted to persons with their first SUD diagnosis during 1995 to 2015. Cases were persons who died by suicide in Denmark during 1995 to 2015 (n = 2774) and the comparison subcohort was a 5% random sample of individuals in Denmark on 1 January 1995 (n = 13 179).Measurements
Suicide death was recorded in the Danish Cause of Death Registry. Predictors included social and demographic information, mental and physical health diagnoses, surgeries, medications, and
SUBMITTER: Adams RS
PROVIDER: S-EPMC8459184 | biostudies-literature | 2021 Oct
REPOSITORIES: biostudies-literature