title: [Utility of a statistical model of cognitive styles in attention deficit hyperactivity disorder].
abstract: The purpose of this study was to determine the best statistical model of cognitive styles, based on the MFFT-20, CEFT and Stroop tests to predict attention deficit hyperactivity disorder (ADHD), analyzing the validity of the model for the diagnosis of the disease. We studied 100 ADHD cases (DSM-IV criteria) and 100 controls, age ranging between 7 and 11 years. Controls were randomly recruited and matched in age, gender and sociodemographic area with ADHD cases. On average, ADHD cases showed more impulsiveness (d: 1.28), less cognitive flexibility (d: 0.91) and more field dependence (d: 1.62) than controls. The logistic regression model that predicts ADHD best is made up of age, CEFT, MFFT-20 and Stroop tests and the formula derived from the model shows 85% sensitivity and 85% specificity for ADHD, regarding the DSM-IV criteria as the standard. The statistical model of cognitive styles presents valid indicators to diagnose ADHD, contributing to an increase in the objectivity of its analysis.
authors: Complejo Asistencial de Palencia, Hospital San Telmo, 34004 Palencia, Spain. villalobos@cop.es
authors: José Antonio
authors: JA
authors: López Villalobos
authors: Isabel
authors: I
authors: Serrano Pintado
authors: Juan Delgado
authors: JD
authors: Sánchez-Mateos
authors: Jesús María Andrés
authors: JM
authors: de Llano
authors: María Isabel
authors: MI
authors: Sánchez Azón
authors: Susana
authors: S
authors: Alberola López
mesh_terms: D001289:Attention Deficit Disorder with Hyperactivity / Q000523:psychology*; D002648:Child; D003071:Cognition; D005260:Female; D006801:Humans; D008297:Male; D008960:Models, Psychological; D015233:Models, Statistical; D015203:Reproducibility of Results