ArticleInternational journal of environmental research and public health2021
Movement Patterns in Students Diagnosed with ADHD, Objective Measurement in a Natural Learning Environment.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 20 citations in OpenAlex.
- Association between ADHD symptoms and device-measured physical activity and sedentary behavior in childhood: A population-based twin study.JCPP advances · 2026Article
- Attention deficit hyperactivity disorder assessment through objective measures: POV glasses and machine learning approach.Frontiers in psychiatry · 2026Article
- Virtual Reality-Based Assessment of Attention-Deficit/Hyperactivity Disorder and Comorbid Symptoms in Children: Framework Development and Standardization Study.JMIR serious games · 2025Article
- Objective approach to diagnosing attention deficit hyperactivity disorder by using pixel subtraction and machine learning classification of outpatient consultation videos.Journal of neurodevelopmental disorders · 2024Article
- Objective and automatic assessment approach for diagnosing attention-deficit/hyperactivity disorder based on skeleton detection and classification analysis in outpatient videos.Child and adolescent psychiatry and mental health · 2024Article
- Assessment of ADHD Subtypes Using Motion Tracking Recognition Based on Stroop Color-Word Tests.Sensors (Basel, Switzerland) · 2024Article
- A quantitative analysis of fidgeting in ADHD and its relation to performance and sustained attention on a cognitive task.Frontiers in psychiatry · 2024Article
- Structural differences among children, adolescents, and adults with attention-deficit/hyperactivity disorder and abnormal Granger causality of the right pallidum and whole-brain.Frontiers in human neuroscience · 2023Article
- A Cross-Sectional Study to Measure Physical Activity with Accelerometry in ADHD Children according to Presentations.Children (Basel, Switzerland) · 2022Article
- Deep-Learning-Based ADHD Classification Using Children's Skeleton Data Acquired through the ADHD Screening Game.Sensors (Basel, Switzerland) · 2022Article
- Automatic Personality Assessment through Movement Analysis.Sensors (Basel, Switzerland) · 2022Article
- Evaluating Therapeutic Effects of ADHD Medication Objectively by Movement Quantification with a Video-Based Skeleton Analysis.International journal of environmental research and public health · 2021Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Attention deficit hyperactivity disorder is the most common neuropsychological disorder in childhood and adolescence, affecting the basic psychological processes involved in learning, social adaptation and affective adjustment. From previous research, the disorder is linked to problems in different areas of development, with deficiencies in psychological processes leading to the development of the most common characteristics of the disorder such as inattention, excess of activity and lack of inhibitory control. As for the diagnosis, in spite of being a very frequent disorder, there are multiple controversies about which tools are the most suitable for evaluation. One of the most widespread tools in the professional field is behavior inventories such as the Strengths and Difficulties Questionnaires for Parents and Teachers or the ADHD Rating Scale-V. The main disadvantage of these assessment tools is that they do not provide an objective observation. For this reason, there are different studies focused on recording objective measures of the subjects' movement, since hyperkinesia is one of the most characteristic symptoms of this disorder. In this sense, we have developed an application that, using a Kinect device, is capable of measuring the movement of the different parts of the body of up to six subjects in the classroom, being a natural context for the student. The main objective of this work is twofold, on the one hand, to investigate whether there are correlations between excessive movement and high scores in the inventories for the diagnosis of ADHD, Rating Scale-V and Strengths and Difficulties Questionnaire (SDQ) and, on the other hand, to determine which sections of the body present the most significant mobility in subjects diagnosed with ADHD. Results show that the control group, composed of neurotypical subjects, presents less kinaesthetic activity than the clinical group diagnosed with ADHD. This indicates that the experimental group presents one of the main characteristics of the disorder. In addition, results also show that practically all the measured body parts present significant differences, being higher in the clinical group, highlighting the head as the joint with the highest effect size.
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