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Differential Influences of ASD and ADHD Symptom Severity on Adaptive Functioning in Youth with and without ASD
Objectives: The current study aims to examine the relationship between dimensional measures of ASD and ADHD symptoms and adaptive functioning skills in youth with and without diagnosed ASD.
Methods: Parents of 45 (33 male, 12 female) intellectually able children and adolescents with ASD (age range 8-18, M = 14.13, SD = 2.62) completed the Child Behavior Checklist 6-18 (CBCL), Social Responsiveness Scale-Parent Report (SRS), and Vineland Adaptive Behavior Scales, Second Edition (VABS). These measures were also collected from the parents of 31 (17 male, 14 female) age- and IQ-matched typically developing (TD) controls (mean age = 14.13, SD = 2.24). The SRS total T-score served as a measure of autism symptoms, and the CBCL’s Attention-Deficit Hyperactivity Problems (ADHP) T-score served as a measure of ADHD symptoms. Hierarchical regression analyses were performed separately for the two diagnostic groups, with the VABS subscales and Adaptive Behavior Composite (ABC) as dependent variables, Age, Sex, and FSIQ scores entered as independent variables during the first step (enter-method), and SRS and ADHP T-scores entered as independent variables during the second step of the analyses (stepwise-method).
Results: Regression analysis indicated that lower overall adaptive functioning (i.e. VABS ABC) was significantly predicted by higher SRS T-scores (β=-0.33) in the ASD group and higher ADHP T-scores (β=-0.41) in the TD group. Higher SRS T-scores significantly predicted reduced VABS Communication scores in both the ASD (β=-0.33) and TD (β=-0.49) groups. Like ABC scores, VABS Socialization scores were predicted by SRS T-scores (β=-0.42) in the ASD group and ADHP T-scores (β=-0.37) in the TD group. The regression model did not significantly predict VABS Daily Living Skills scores for either group (ASD: p=0.074; TD: p=0.194). The addition of ASD or ADHD symptom scores resulted in significant improvements in the predictive strength of all other models (ΔR2=0.11–0.22, ps<0.05). In no model did both ASD and ADHD symptom levels independently predict adaptive behavior scores.
Conclusions: While ASD severity predicted overall adaptive functioning in those with ASD, sub-clinical ADHD symptoms more strongly predicted decreased adaptive functioning in children without either disorder. This finding implies that when present at sub-clinical levels, ADHD rather than ASD symptoms are more strongly related to functional impairment in the general population.