Abstract: Unraveling the Layers: Developmental Challenges in Children Who Have Experienced Maltreatment (Society for Social Work and Research 29th Annual Conference)

Please note schedule is subject to change. All in-person and virtual presentations are in Pacific Time Zone (PST).

Unraveling the Layers: Developmental Challenges in Children Who Have Experienced Maltreatment

Schedule:
Sunday, January 19, 2025
Columbia, Level 4 (Sheraton Grand Seattle)
* noted as presenting author
Richard Alboroto, PhD, LMSW, Assistant Professor, Texas Tech University, Lubbock
Background and Purpose:

Child maltreatment (CM) has pervasive effects on the developmental trajectories of young children, potentially resulting in diverse socio-emotional and developmental challenges. Identifying distinct developmental profiles among maltreated children is crucial for devising targeted interventions that address specific needs effectively. This study utilizes latent profile analysis (LPA) to explore underlying patterns of socio-emotional and competency development in maltreated children, aiming to tailor support mechanisms that enhance child welfare practices.

Methods:

This research employed a sophisticated latent profile analysis (LPA) to investigate developmental challenges in a nationally representative sample of 622 children aged 12-18 months from the National Survey of Children's and Adolescent Well-being II (NSCAW II). The children selected had been referred to child welfare agencies across 50 U.S. states and were subject to both substantiated and unsubstantiated investigations of maltreatment. Data collection involved detailed baseline interviews conducted with children, their parents, nonparent adult caregivers, and caseworkers, focusing on two primary developmental dimensions measured by the Brief Infant-Toddler Social and Emotional Assessment (BITSEA): socio-emotional/behavioral problems and delays in developmental competencies. We performed LPA using STATA 17.0, which allowed for the rigorous statistical analysis of emerging behavior patterns through two continuous observed indicators: scores indicating potential socio-emotional problems and competency delays. Model selection was guided by the lowest Akaike Information Criteria (AIC) and Bayesian Information Criteria (BIC), and the analysis included a validation of the class solution through bootstrapped likelihood ratio tests to ensure robust and reliable classification of developmental profiles.

Results:

The LPA identified four distinct profiles: (1) children predominantly displaying socio-emotional problems; (2) children experiencing delays in developmental competencies; (3) children with concurrent socio-emotional and competency challenges; and (4) children without significant developmental issues. Significant predictors such as type of maltreatment, gender, and socio-economic conditions were identified for each profile, indicating differential impacts on developmental outcomes. Notably, neglect and domestic violence were linked to socio-emotional problems, whereas physical abuse was more commonly associated with competency delays.

Conclusions and Implications:

The study provides compelling evidence of the varied impact of maltreatment on child development, emphasizing the need for tailored interventions that address specific developmental challenges. By distinguishing between different profiles of development, child welfare practitioners can more effectively allocate resources and support to those children who are most at risk. These findings underline the importance of early, accurate assessment and the potential benefits of interventions designed to mitigate the detrimental impacts of maltreatment. Future research should continue to explore these profiles over longer periods to assess the stability of developmental challenges and the long-term efficacy of targeted interventions.