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Attention-Deficit/Hyperactivity Disorder

Attention-Deficit/Hyperactivity Disorder

Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by persistent inattention, hyperactivity, and impulsivity. It affects approximately 5-8% of children globally, with around 60-70% of cases persisting into adulthood. ADHD has significant implications for educational attainment, social interactions, and occupational success.
Diagnostic Criteria and Symptoms
To diagnose ADHD, symptoms must manifest before age 12 and be evident across multiple settings....

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Normative Data for Objective ADHD Smartphone Application in a General Population.

Urban Gustafsson¹, Robert Nolen², Nuria Casals¹

¹Qbtech AB, Medical Department, Cardellgatan 1, Stockholm, Sweden.

Clinical Practice and Epidemiology in Mental Health : CP & EMH

|May 5, 2025

Summary

This summary is machine-generated.

Objective measures for Attention Deficit Hyperactivity Disorder (ADHD) are vital. This study established normative data for QbMobile, a smartphone-based ADHD assessment tool, in a large, diverse population for improved clinical diagnosis.

Keywords:

ADHD Normative Objective measure Psychometric test QbMobile Socioeconomic

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Area of Science:

Clinical Psychology
Neuroscience
Medical Technology

Background:

Objective measures are crucial for accurate Attention Deficit Hyperactivity Disorder (ADHD) diagnosis.
Normative data enhances the reliability and clinical utility of diagnostic tools.

Purpose of the Study:

To establish normative demographic data for an investigational version of QbMobile.
QbMobile is a software application designed for objective ADHD assessment.

Main Methods:

An observational, multinational study was conducted in the UK, Netherlands, Germany, and the US.
Participants aged 6-60 years used the QbMobile application on a smartphone to measure activity, inattention, and impulsivity.
The application tracked smartphone movements and screen interactions.

Main Results:

2541 participants (326 aged 6-11, 2215 aged 12-60) completed the study.
Demographic variables did not impact collected data; household income and education ensured country spread.
The QbMobile test showed high acceptance, with 94% finding it easy to use.

Conclusions:

Representative normative data for QbMobile was successfully established from a multinational general population.
This data serves as a valuable comparator for datasets, including those of individuals with ADHD.