Abstract: Gender-Specific Profiles of Adverse Childhood Experiences (Society for Social Work and Research 25th Annual Conference - Social Work Science for Social Change)

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4P Gender-Specific Profiles of Adverse Childhood Experiences

Tuesday, January 19, 2021
* noted as presenting author
Youngmi Kim, PhD, Associate Professor, Virginia Commonwealth University, Richmond, VA
Haenim Lee, PhD, Postdoctoral Research Fellow, Case Western Reserve University, Cleveland, OH
Jennifer Murphy, MSW, Doctoral Student, Virginia Commonwealth University, Richmond, VA
Background and Purpose: Research has documented that adverse childhood experiences (ACEs) tend to occur in multiple forms rather than in isolation. Early adversities are detrimental to health and mental health as well as socioeconomic status, and therefore the effects appear to sustain across the life span. Prior research shows that there may be gender differences in childhood traumatic experiences and associated outcomes. This study aims to examine (1) whether profiles of ACEs differ by gender and (2) what characteristics are associated with the identified ACEs profiles in each gender group.

Methods: We use the National Longitudinal Study of Adolescent and Adult Health (ADD Health) data collected from a nationally representative adolescents. The final analysis sample includes 5,747 females and 4.938 males. For the latent class of ACEs, we use 12 observed indicators of the following exposures: physical abuse, physical neglect, emotional abuse, emotional neglect, sexual abuse, parental divorce/separation, living with a household adult(s) with a problem of alcohol, incarceration, or mental illness, a victim or witness of community violence, and poverty. We identify the profiles of ACES using a Latent Class Analysis (LCA) for each gender. Next, we run multinomial logistic regressions separately for each gender group to examine the associations between the ACEs and sociodemographic/health characteristics (e.g., age, gender, race/ethnicity, education, household income, public assistance use, health status, and depressive symptoms). All analyses employ sampling weights to account for the complex survey design and non-response bias.

Results: The LCA analysis identifies gender-specific profiles of ACEs. Females have four classes: global adversity (6.3%), child maltreatment (15.5%), household dysfunction (19.3%), and low adversity (58.9%). Females in the global adversity class are highly exposed to multiple adversities (physical neglect, physical abuse, emotional abuse, parental divorce/separation, poverty, and household adult with issues of alcohol or incarceration). Males have four classes but slightly different ones: community violence (7.4%), child maltreatment (13.3%), household dysfunction (14.2%), and low adversity (65.1%). Males in the community violence class are estimated to very likely have witnessed community violence or been a victim to a great degree (over 90%). The multinomial regressions generally suggest that early adversities predict socioeconomic disadvantages in both gender groups. For females, the low adversity class reports significantly better health status than the three classes of ACEs; lower rates of public assistance use in young adulthood than household dysfunction and global adversity classes. Black males are more likely to be exposed to the classes of child maltreatment, household dysfunction, and community violence than their White counterparts.

Conclusion and Implications: This study provides empirical evidence that the latent construct of ACEs varies by gender. While child maltreatment, household dysfunction, low adversity classes are commonly identified, females have a distinct class of global adversity, and males have a separate class of community violence. The findings support that researchers and practitioners should address the needs of gender-specific understandings and interventions for trauma-informed care.