| Title |
Neurocognitive Predictors of ADHD Outcome: a 6-Year Follow-up Study
|
|---|---|
| Published in |
Research on Child and Adolescent Psychopathology, July 2016
|
| DOI | 10.1007/s10802-016-0175-3 |
| Pubmed ID | |
| Authors |
Marloes van Lieshout, Marjolein Luman, Jos W. R. Twisk, Stephen V. Faraone, Dirk J. Heslenfeld, Catharina A. Hartman, Pieter J. Hoekstra, Barbara Franke, Jan K. Buitelaar, Nanda N. J. Rommelse, Jaap Oosterlaan |
| Abstract |
Although a broad array of neurocognitive dysfunctions are associated with ADHD, it is unknown whether these dysfunctions play a role in the course of ADHD symptoms. The present longitudinal study investigated whether neurocognitive functions assessed at study-entry (mean age = 11.5 years, SD = 2.7) predicted ADHD symptom severity and overall functioning 6 years later (mean age = 17.4 years, 82.6 % = male) in a carefully phenotyped large sample of 226 Caucasian participants from 182 families diagnosed with ADHD-combined type. Outcome measures were dimensional measures of ADHD symptom severity and the Kiddie-Global Assessment Scale (K-GAS) for overall functioning. Predictors were derived from component scores for 8 domains of neurocognitive functioning: working memory, motor inhibition, cognitive inhibition, reaction time variability, timing, information processing speed, motor control, intelligence. Effects of age, gender, and pharmacological treatment were considered. Results showed that better working memory predicted lower ADHD symptom severity (R (2) = 3.0 %), and less reaction time variability predicted better overall functioning (higher K-GAS-score, R (2) = 5.6 %). Predictors were still significant with baseline behavior included in the models. The role of neurocognitive functioning in the long term outcome of ADHD behavior is discussed. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 189 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| United States | 1 | <1% |
| Switzerland | 1 | <1% |
| Unknown | 186 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 31 | 16% |
| Student > Ph. D. Student | 26 | 14% |
| Researcher | 23 | 12% |
| Student > Doctoral Student | 18 | 10% |
| Student > Bachelor | 18 | 10% |
| Other | 32 | 17% |
| Unknown | 41 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 70 | 37% |
| Neuroscience | 19 | 10% |
| Medicine and Dentistry | 18 | 10% |
| Nursing and Health Professions | 7 | 4% |
| Agricultural and Biological Sciences | 3 | 2% |
| Other | 19 | 10% |
| Unknown | 53 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 July 2016.
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#20,656,820
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Outputs from Research on Child and Adolescent Psychopathology
#1,848
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#286,733
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Outputs of similar age from Research on Child and Adolescent Psychopathology
#17
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