Empirical Testing of an Algorithm for Defining Somatization in Children
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Empirical Testing of an Algorithm for Defining Somatization in Children
Aug 3, 2007 - 1 Department of Behavioral Health, Coney Island. Hospital, Brooklyn, New York, USA. 2 Department of Economics, Brooklyn College, City.
Empirical Testing of an Algorithm for Defining Somatization in Children Howard D. Eisman PhD1; Joshua Fogel PhD2; Regina Lazarovich BS1; Inna Pustilnik PhD3 Abstract Introduction: A previous article proposed an algorithm for defining somatization in children by classifying them into three categories: well, medically ill, and somatizer; the authors suggested further empirical validation of the algorithm (Postilnik et al., 2006). We use the Child Behavior Checklist (CBCL) to provide this empirical validation. Method: Parents of children seen in pediatric clinics completed the CBCL (n=126). The physicians of these children completed specially-designed questionnaires. The sample comprised of 62 boys and 64 girls (age range 2 to 15 years). Classification categories included: well (n=53), medically ill (n=55), and somatizer (n=18). Analysis of variance (ANOVA) was used for statistical comparisons. Discriminant function analysis was conducted with the CBCL subscales. Results: There were significant differences between the classification categories for the somatic complaints (p=
