Predicting suicidal behavior in individuals with depression over 50 years of age: Evidence from the UK biobank.

ABSTRACT:

Objective

To construct applicable models suitable for predicting the risk of suicidal behavior among individuals with depression, particularly on the progression from no history of suicidal behavior to suicide attempts, as well as from suicidal ideation to suicide attempts.

Methods

Based on a prospective cohort from the UK Biobank, a total of 55,139 individuals aged 50 and above with depression were enrolled in the study, among whom 29,528 exhibited suicidal behavior. Specifically, they were divided into control (25,611), suicidal ideation (24,361), and suicide attempt (5167) groups. Least absolute shrinkage and selection operator (LASSO) regression was used to identify a subset of important features for distinguishing suicidal ideation and suicide attempts. We used the Grad

SUBMITTER: Zhang J 

PROVIDER: S-EPMC11475109 | biostudies-literature | 2024 Jan-Dec

REPOSITORIES: biostudies-literature