Although emotion regulation has been identified as a key function of non-suicidal self-injury (NSSI), it is unclear how specific indices of emotion regulation are associated with particular NSSI methods as markers of risk. This study used latent class analysis (LCA) to identify subgroups of individuals who engage in NSSI and their patterns of emotional regulation difficulties. Undergraduate students in the southeastern United States (N = 326) completed an online survey. LCA was used to identify subgroups of individuals engaging in NSSI and their associated emotion regulation difficulties. These subgroups were then compared across a variety of behavioral health outcomes (e.g. impulsive behavior, disordered eating, problematic alcohol use, suicide attempt history) to characterize specific risk profiles. The LCA revealed four subgroups who engage in NSSI and have specific emotion regulation difficulties. These subgroups were differentially associated with behavioral health outcomes, including suicide risk, disordered eating, and impulsive behavior. Results of this research could aid in clinical identification of at-risk individuals.
Keywords: Emotions; Models statistical; Self-injurious behavior; Suicide; Suicide attempted; Universities.
Copyright © 2019. Published by Elsevier B.V.