ArticleBehavioral and brain functions : BBF2018
Assessing ADHD symptoms in children and adults: evaluating the role of objective measures.
Article in Behavioral and brain functions : BBF, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.
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Who cites it
42 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The efficacy and safety of transcranial direct current stimulation in patients with ADHD: a systematic review and meta-analysis.Frontiers in psychiatry · 2026Pooled it
- Individualized prediction models in ADHD: a systematic review and meta-regression.Molecular psychiatry · 2024Pooled it
- Voice features in paediatric ADHD: baseline group differences and longitudinal change under methylphenidate.European child & adolescent psychiatry · 2026Article
- Article
- Attention deficit hyperactivity disorder assessment through objective measures: POV glasses and machine learning approach.Frontiers in psychiatry · 2026Article
- Digital health technologies for adults with ADHD: a scoping review.Frontiers in digital health · 2026Review
- Development of a human analogue ADHD diagnostic system for family dogs.Scientific reports · 2025Article
- Exploring the effects of cognitive behavioral therapy on cognitive control circuit and behavioral task performance in hoarding disorder.Journal of psychiatric research · 2025Article
- The discriminate value of event-related potentials in executive function of ADHD and comorbidity of ADHD and ASD.Scientific reports · 2025Article
- Machine learning reveals sex differences in distinguishing between conduct-disordered and neurotypical youth based on emotion processing dysfunction.BMC psychiatry · 2025Article
- Multi-method ADHD diagnostics in children: CBCL and TRF lead the way.Frontiers in psychiatry · 2025Article
- Machine learning on a smartphone-based CPT for ADHD prediction.Frontiers in psychiatry · 2025Article
- Detecting ADHD through natural language processing and stylometric analysis of adolescent narratives.Frontiers in child and adolescent psychiatry · 2025Article
- Evaluating attention deficit and hyperactivity disorder (ADHD): a review of current methods and issues.Frontiers in psychology · 2025Review
- The SASOP/PsychMg child and adolescent attention-deficit/hyperactivity disorder guidelines.The South African journal of psychiatry : SAJP : the journal of the Society of Psychiatrists of South Africa · 2025Article
- Electroencephalogram (EEG) Based Prediction of Attention Deficit Hyperactivity Disorder (ADHD) Using Machine Learning.Neuropsychiatric disease and treatment · 2025Article
- Article
- Sex differences in physiological correlates of affectively driven decision-making behavior in adult ADHD.BMC psychiatry · 2024Article
- Towards an Objective Measurement Tool for ADHD-like Traits in Family Dogs: A Comprehensive Test Battery.Animals : an open access journal from MDPI · 2024Article
- The effects of chiropractic adjustment on inattention, hyperactivity, and impulsivity in children with attention deficit hyperactivity disorder: a pilot RCT.Frontiers in psychology · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDiagnostic guidelines recommend using a variety of methods to assess and diagnose ADHD. Applying subjective measures always incorporates risks such as informant biases or large differences between ratings obtained from diverse sources. Furthermore, it has been demonstrated that ratings and tests seem to assess somewhat different constructs. The use of objective measures might thus yield valuable information for diagnosing ADHD. This study aims at evaluating the role of objective measures when trying to distinguish between individuals with ADHD and controls. Our sample consisted of children (n = 60) and adults (n = 76) diagnosed with ADHD and matched controls who completed self- and observer ratings as well as objective tasks. Diagnosis was primarily based on clinical interviews. A popular pattern recognition approach, support vector machines, was used to predict the diagnosis.
resultsWe observed relatively high accuracy of 79% (adults) and 78% (children) applying solely objective measures. Predicting an ADHD diagnosis using both subjective and objective measures exceeded the accuracy of objective measures for both adults (89.5%) and children (86.7%), with the subjective variables proving to be the most relevant.
conclusionsWe argue that objective measures are more robust against rater bias and errors inherent in subjective measures and may be more replicable. Considering the high accuracy of objective measures only, we found in our study, we think that they should be incorporated in diagnostic procedures for assessing ADHD.
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