AIMS: The aim of this study is to analyse the differences in the Stroop effect between cases with attention deficit hyper-activity disorder (ADHD) and controls. It also seeks to find the best model based on the third task of the colours and words test (Stroop-CW) for predicting ADHD and to analyse the validity of the Stroop-CW test for diagnosing the disorder. SUBJECTS AND METHODS: The sample studied consisted of 100 cases of ADHD -according to Diagnostic and statistical manual of mental disorders (DSM-IV) criteria- and 100 controls, between 7 and 11 years of age, who were evaluated using the Stroop test. The controls were recruited at random and paired by age, sex and sociodemographic area with the cases. RESULTS: The cases present a mean cognitive style that is significantly less flexible (d = -1.06) and they also display a lower capacity to inhibit or control automatic responses than the controls at all ages (7 years: d = 1.67; 8 years: d = 1.02; 9 years: d = 1.32; 10 years: d = 2.04; 11 years: d = 0.89). The model of logistic regression analysis that best predicts ADHD is made up of age and Stroop-CW. The formulation derived from the model offers a sensitivity of 81% and a specificity of 72%, taking the criteria of the DSM-IV for ADHD as the reference test. CONCLUSIONS: The Stroop-CW test presents usefulness and complementary criteria validity for the diagnosis of ADHD.
AIMS: The aim of this study is to analyse the differences in the Stroop effect between cases with attention deficit hyper-activity disorder (ADHD) and controls. It also seeks to find the best model based on the third task of the colours and words test (Stroop-CW) for predicting ADHD and to analyse the validity of the Stroop-CW test for diagnosing the disorder. SUBJECTS AND METHODS: The sample studied consisted of 100 cases of ADHD -according to Diagnostic and statistical manual of mental disorders (DSM-IV) criteria- and 100 controls, between 7 and 11 years of age, who were evaluated using the Stroop test. The controls were recruited at random and paired by age, sex and sociodemographic area with the cases. RESULTS: The cases present a mean cognitive style that is significantly less flexible (d = -1.06) and they also display a lower capacity to inhibit or control automatic responses than the controls at all ages (7 years: d = 1.67; 8 years: d = 1.02; 9 years: d = 1.32; 10 years: d = 2.04; 11 years: d = 0.89). The model of logistic regression analysis that best predicts ADHD is made up of age and Stroop-CW. The formulation derived from the model offers a sensitivity of 81% and a specificity of 72%, taking the criteria of the DSM-IV for ADHD as the reference test. CONCLUSIONS: The Stroop-CW test presents usefulness and complementary criteria validity for the diagnosis of ADHD.
Authors: Zsuzsanna Vecsei; Balázs Knakker; Péter Juhász; György Thuróczy; Attila Trunk; István Hernádi Journal: Sci Rep Date: 2018-12-20 Impact factor: 4.379
Authors: Ignasi Navarro-Soria; Rocío Juárez-Ruiz de Mier; José Manuel García-Fernández; Carlota González-Gómez; Marta Real-Fernández; Marta Sánchez-Múñoz de León; Rocío Lavigne-Cervan Journal: Front Psychol Date: 2020-12-07
Authors: Gabriele Donzelli; Agustin Llopis-Gonzalez; Agustin Llopis-Morales; Lorenzo Cioni; María Morales-Suárez-Varela Journal: Int J Environ Res Public Health Date: 2019-12-20 Impact factor: 3.390