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Indicators of Impulsivity in Routine Clinical Assessment of Adult ADHD
Hui Dong1, Anselm B M Fuermaier1, Janneke Koerts1
1University of Groningen, The Netherlands.
Impulsivity in adult attention-deficit/hyperactivity disorder (ADHD) is multidimensional. This study found self-reports, commission errors, and reaction times form distinct factors, with self-reports being most severe.
Area of Science:
- Psychology
- Neuroscience
- Clinical Psychiatry
Background:
- Impulsivity is a core symptom of adult attention-deficit/hyperactivity disorder (ADHD).
- Existing research suggests impulsivity in ADHD is not a single trait but a complex construct.
- Understanding the structure of impulsivity is crucial for accurate ADHD assessment and treatment.
Purpose of the Study:
- To examine a proposed three-factor model of impulsivity in adults with ADHD.
- To differentiate between self-reported impulsivity, commission errors, and reaction time measures.
- To investigate the relationship between these impulsivity dimensions and clinical/demographic factors.
Main Methods:
- Confirmatory factor analyses were performed on data from 654 adults undergoing ADHD assessment.
- A three-factor model including Barratt Impulsiveness Scale, commission errors, and reaction time measures was tested.
- Network analysis was used to explore alternative conceptualizations of impulsivity.
Main Results:
- The proposed three-factor model of impulsivity (self-report, commission errors, reaction time) was consistently supported.
- Network analysis suggested a two-group structure separating performance-based from self-report measures.
- Self-reported impulsivity showed the highest severity, followed by commission errors; reaction times were least affected.
- Clinical and demographic factors predicted self-reports and commission errors but not reaction times.
Conclusions:
- Impulsivity in adult ADHD is best understood as a multidimensional construct, not a unitary trait.
- Self-report measures of impulsivity should be interpreted independently from performance-based neuropsychological tests.
- Clinical assessments may benefit from targeted measures, as some performance-based tasks may yield redundant information.
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