Identifying high-risk subgroups for self-harm in young people

Abstract

Abstract Self-harm in adolescents and young adults (AYAs) is the result of a complex interaction of biological, psychiatric, psychological, social, and cultural risk factors. A lot of research has already been conducted to identify the risk factors for self-harm in AYAs. On the other hand, there has been less research conducted on the simultaneous effects of, and the interactions between, multiple risk factors for self-harm in heterogeneous AYA individuals. In this study, we conducted a latent class analysis (LCA) of three waves from the Growing Up in Ireland (GUI) longitudinal cohort study at ages 13, 17 and 20 to identify homogenous subgroups of AYA individuals who exhibit similar risk markers for self-harm at these three time points. Then, we evaluated the risk that these subgroups ever self-harmed by age 17, self-harmed at age 20, or were persistently self-harming across both time points. The most at-risk group appeared to be the individuals aged 17 who had been diagnosed with depression/anxiety. Compared to the low-risk-marker group, the ‘diagnosed with depression/anxiety’ group had a 30-fold risk of self-harm at age 17, and 32-fold risk of persistently self-harming by age 20. The ‘undiagnosed but high depression’ group at this time point was also at significant risk of self-harm. This research enables us to understand which risk markers tend to co-occur together and will help to identify high-risk groups for self-harm both clinically and in the community. An investigation of risk markers like this can potentially be used in the design of public health interventions to reduce the burden of self-harm, and indeed suicide, in young people. Key messages • We identified sub-groups of young people with a high-risk of self-harm and suicide from the general population. • These identifiable sub-groups can inform intervention policies and strategies for prevention programmes both in clinical and non-clinical settings like schools.