[Utility of a statistical model of cognitive styles in attention deficit hyperactivity disorder]. / Utilidad de un modelo estadístico de estilos cognitivos en el trastorno por déficit de atención con hiperactividad.

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.