Showing 43 results for Attention
Mr. Saadi Ayazi, Dr. Sajjad Rezaei, Dr. Ashkan Naseh, Dr. Maryam Kousha,
Volume 11, Issue 2 (9-2023)
Abstract
Attention Deficit/Hyperactivity Disorder (ADHD) is one of the most common neurodevelopmental disorders and efforts to improve its diagnostic methods continue. In this study, using CogLab software, a diagnostic model was developed and introduced to help psychologists as an auxiliary tool for diagnosing ADHD. In the context of a developmental and case-control project using targeted sampling in Rasht city, 93 children diagnosed with ADHD were selected by a pediatric psychiatry subspecialist. The parents of both groups (case and control) were also interviewed clinically and after completing the CSI-4 version of the Children's Disease Symptoms Questionnaire, their demographic information was collected. The control group consisted of 33 working students from Rasht schools without disorders were selected using the CSI-4 4th version of the Children's Disease Symptoms Questionnaire. Both groups responded to the change detection and spatial marking tests using the attention section of the CogLab software under the same conditions. Data were processed by SPSS-24. In the diagnosis analysis, the results showed that the ratio of the correct response to the detection of change in the so-so mode had the highest predictive power in the separation and differentiation of classes between the case and control groups, and the results of the diagnostic function in the cross-validation section were able to be found in both case and control groups. 80.6 percent of all people in the ADHD group (case) and also 72.7 percent of all people in the control group were correctly grouped; The change detection test and spatial marking in CogLab software platform can be used as an auxiliary tool in the service of psychologists to help the diagnosis process in children with ADHD.
Fatemeh Nemati, Kimiya Ghaedi,
Volume 11, Issue 2 (9-2023)
Abstract
The current research aims to examine the structural relationships between sleep problems and emotional intelligence in adolescents, considering the mediating role of defect in executive functions. The present research had a descriptive-correlational design. The study sample included 381 first-grade high school students in Tabriz during the academic year 1401-02, selected through cluster random sampling. Data were collected using the Pittsburgh Sleep Quality Index questionnaire, the Siberia and Shiring Emotional Intelligence Questionnaire, the Gross and John Emotion Regulation Questionnaire, the Wisconsin Card Sorting Test software, and the Continuous Performance Test software task. Statistical methods used for data analysis included Pearson correlation coefficient and path analysis. The results showed that sleep problems have a direct and indirect influence on emotional intelligence through emotion regulation and cognitive flexibility. Based on the research findings, it can be concluded that emotion regulation and cognitive flexibility play a mediating role in the relationship between sleep problems and emotional intelligence.
Zahra Mohseninasab, Somaye Saket, Masoome Deilami Pooya, Samaneh Basiti, Sahel Jafari,
Volume 12, Issue 1 (6-2024)
Abstract
The purpose of this research was the effectiveness of mindfulness training on executive functions (working memory and attention) and self-efficacy in patients with anxiety disorders. The sample of this research included 30 people from the mentioned community who were selected by available sampling method. 15 people in the experimental group and 15 people in the control group were randomly divided. The research design was semi-experimental with pre-test-post-test with control and experimental groups. The measurement tools included Gioia et al.'s executive function questionnaire (2000) and Scherer's general self-efficacy. To implement, at first, a pre-test was taken from both groups. Then the experimental group underwent mindfulness intervention during 8 sessions of 90 minutes, then a post-test was taken from both groups. Data analysis was done using multivariate covariance analysis (MANCVA) and one-way covariance analysis (ANCVA). The results of the research showed that mindfulness training has a significant effect on executive functions (working memory and attention) and self-efficacy of patients with anxiety disorders.
