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Signal Attenuation as a Rat Model of Obsessive Compulsive Disorder
Published on: January 9, 2015
Developmental and clinical predictors of comorbidity for youth with obsessive compulsive disorder
Tara S Peris1, Michelle Rozenman1, R Lindsey Bergman1
1UCLA Semel Institute for Neuroscience and Human Behavior, USA.
Objective:
To date, few studies of childhood obsessive compulsive disorder (OCD) have been adequately powered to examine patterns and predictors of comorbidity, despite the frequency with which it occurs. We address this gap, drawing on a large sample of youth with OCD who were systematically assessed through research and clinical programs in a university-based specialty program for children and adolescents with OCD. We examine patterns of comorbidity across different epochs of development and predict specific classes of OCD (comorbidity internalizing/externalizing/both) from key demographic and clinical variables that may be useful in guiding individualized treatment.
Method:
A total of 322 youths (mean age = 12.28, 53% male) were assessed using the Anxiety Disorders Interview Schedule (ADIS; Silverman and Albano, 1996), the Children's Yale Brown Obsessive Compulsive Scale (CYBOCS; Scahill et al., 1997) and other standardized measures.
Results:
Consistent with prior research, 50% of youth met criteria for a co-occurring anxiety or depressive disorder. Rates of externalizing disorders were lower (16%). Developmental differences emerged such that older youth met criteria for a higher number of co-occurring disorders. As expected, adolescents in particular were more likely to have a co-occurring internalizing disorder compared to early or pre-adolescent peers. Surprisingly, they were also more likely to have a comorbid externalizing disorder. Developmental trends were particularly striking with respect to depression, with adolescents with OCD demonstrating a six-fold greater likelihood of co-occurring depressive disorder compared to younger counterparts.
Discussion:
Clinical implications are discussed with eye toward tailoring interventions, particularly during the transition to adolescence when youth are at heightened risk for depression.
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