Classification Trees Identify Shared and Distinct Correlates of Non-Suicidal Self-Injury and Suicidal Ideation across Gender Identities in Emerging Adults.

Classification Trees Identify Shared and Distinct Correlates of Non-Suicidal Self-Injury and Suicidal Ideation across Gender Identities in Emerging Adults. Clin Psychol Psychother. 2020 Nov 09;: Authors: Wallace GT, Conner BT, Shillington AM Abstract College students have an elevated risk for self-injurious thoughts and behaviors (SITBs) and there are robust differences in prevalence rates for SITBs across gender identities. While numerous constructs have been implicated as risk factors, researchers have not significantly improved at predicting SITBs, possibly due to constraints of confirmatory analyses. Classification trees are exploratory, person-centered analyses that enable joint examination of numerous correlates and their interactions. Thus, classification trees may discern previously unstudied risk factors and identify distinct subpopulations with elevated risk for SITBs. We tested classification trees that evaluated 298 potential correlates of non-suicidal self-injury and suicidal ideation across self-identified females and males. Data came from 5,131 college students who completed the National College Health Assessment, which assesses a wide-range of health-related constructs. Models produced parsimonious decision trees that accounted for a substantial amount of outcome variability (38.3-51.5%). Psychopathology, poorer psychological well-being, and other SITBs emerged as important correlates for all participants. Trauma, dis...
Source: Clinical Psychology and Psychotherapy - Category: Psychiatry Tags: Clin Psychol Psychother Source Type: research