Adverse childhood experiences (ACEs) are concerning exposures that may have detrimental effects on mental health. Much of the prior evidence on ACEs comes from the U.S and western developed countries. In light of the limited knowledge of ACEs in other social contexts and the interconnection among adversities, this study aims to identify distinct patterns of co-occurring ACEs and examines the associations between those adversities and mental health in South Korea. We used data from a national sample of Korean college students recruited via non-probability quota sampling in 2019 (N = 1037). The dependent variables included three measures of mental health assessed by the Brief Symptom Inventory depression symptoms, anxiety symptoms, and somatization symptoms. The independent variable was the patterns of ACEs identified using 14 indicators of childhood adversity. We conducted a Latent Class Analysis with a distal outcome, using the Bolck, Croons, and Hagenaars method. The analysis found four patterns of ACEs: extreme adversity (8%), family violence (20.3%), economic adversity (10.4%), and low adversity (61.3%). The extreme adversity group exhibited multiple exposures, including interpersonal violence in home environments, economic hardship, and bullying victimization by peers. The results suggest that the extreme adversity and family violence groups showed significantly worse mental health symptoms than the economic adversity and low adversity groups. Also, the extreme adversity group reported significantly higher levels of depression symptoms and somatization symptoms than the family violence group. This study expands the current understanding of ACEs and their harmful effects on mental health in young adulthood specific to Korea while comparing them with other social contexts. Researchers and practitioners should recognize the co-occurrence of child adversities, rather than overestimating sole adversity, to develop effective strategies for promoting mental health.
Keywords: adverse childhood experiences; anxiety symptoms; depression symptoms; latent class analysis; somatization symptoms.