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Defining Treatment Response and Remission in Child Anxiety: Signal Detection Analysis Using the Pediatric Anxiety Rating Scale
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Caporino, Nicole E.; Brodman, Douglas M.; Kendall, Philip C.; Albano, Anne Marie; Sherrill, Joel; Piacentini, John; Sakolsky, Dara; Birmaher, Boris; Compton, Scott N.; Ginsburg, Golda; Rynn, Moira; McCracken, James; Gosch, Elizabeth; Keeton, Courtney; March, John; Walkup, John T. – Journal of the American Academy of Child & Adolescent Psychiatry, 2013
Objective: To determine optimal Pediatric Anxiety Rating Scale (PARS) percent reduction and raw score cut-offs for predicting treatment response and remission among children and adolescents with anxiety disorders. Method: Data were from a subset of youth (N = 438; 7-17 years of age) who participated in the Child/Adolescent Anxiety Multimodal Study…
Descriptors: Rating Scales, Anxiety Disorders, Raw Scores, Child Health
Defining Treatment Response and Remission in Obsessive-Compulsive Disorder: A Signal Detection Analysis of the Children's Yale-Brown Obsessive Compulsive Scale
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Storch, Eric A.; Lewin, Adam B.; De Nadai, Alessandro S.; Murphy, Tanya K. – Journal of the American Academy of Child & Adolescent Psychiatry, 2010
Objective: To examine the optimal Children's Yale-Brown Obsessive-Compulsive Scale (CY-BOCS) percent reduction cutoffs for predicting treatment response and clinical remission among children and adolescents with obsessive-compulsive disorder (OCD). Method: Youth with OCD (N = 109; range 7 to 19 years) received 14 sessions of weekly or intensive…
Descriptors: Anxiety Disorders, Prevention, Measures (Individuals), Raw Scores
Family Conflict Interacts with Genetic Liability in Predicting Childhood and Adolescent Depression
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Rice, Frances; Harold, Gordon T.; Shelton, Katherine H.; Thapar, Anita – Journal of the American Academy of Child & Adolescent Psychiatry, 2006
Objective: To test for gene-environment interaction with depressive symptoms and family conflict. Specifically, to first examine whether the influence of family conflict in predicting depressive symptoms is increased in individuals at genetic risk of depression. Second, to test whether the genetic component of variance in depressive symptoms…
Descriptors: Structural Equation Models, Measures (Individuals), Genetics, Interaction