Predictors of Suicide Behavior Relapse in Pediatric Population

Abstract

Identifying patients at increased risk of suicide remains a challenge today. It has been reported that 10% of patients committing a suicide attempt end up dying and that both the risk and the severity of clinical symptomatology increase with the number of attempts. Within the framework of selective and indicated prevention, it is essential to identify the group of patients with an increased risk of recurrence. The objective of this study is to identify factors predicting suicide attempt relapse to improve the decision making process in the therapeutic approach to suicidal behavior. The methodology employed was a longitudinal design aimed at identifying factors, in a binary logistic regression model (stepwise), predicting the repetition of suicidal behavior among a sample of 417 participants aged between 8 and 17 years old, at the six months follow-up. A statistically significant model χ2(3, N = 417) = 18.610; p