Gender Differences Among Children With ADHD on Continuous Performance Tests

2012 ◽  
Vol 16 (3) ◽  
pp. 190-198 ◽  
Author(s):  
Ramzi Hasson ◽  
Jodene Goldenring Fine
2016 ◽  
Vol 23 (6) ◽  
pp. 531-540 ◽  
Author(s):  
Jangho Park ◽  
Changyoon Kim ◽  
Joon-Ho Ahn ◽  
Yeonho Joo ◽  
Min-Sup Shin ◽  
...  

Objective: This study evaluated the diagnostic application of continuous performance tests in children with ADHD. Method: We recruited 114 children (aged 6-12) from August 2012 to May 2014. Seventy-nine children were diagnosed with ADHD and 35 were enrolled as controls. The Advanced Test of Attention (ATA) was administered to all participants. Results: There were significant between-group differences for the frequency distribution of four ATA variables. The ATA criteria yielded a diagnostic sensitivity and specificity of 84.8% and 45.7%, respectively. Discriminant analysis revealed that auditory reaction time variability and visual commission errors helped distinguish between the groups. Discriminate functions indicated correct classification of 64.9% children. ADHD children tended to have lower intra-class correlation coefficients. Conclusion: Our results suggest that the ATA distributions of ADHD individuals may differ from the general population; in addition, the ATA results could not independently diagnose ADHD. Therefore, they should be considered carefully before diagnosis.


2015 ◽  
Vol 32 ◽  
pp. 40-50 ◽  
Author(s):  
Darcey M. Allan ◽  
Nicholas P. Allan ◽  
Matthew D. Lerner ◽  
Amber L. Farrington ◽  
Christopher J. Lonigan

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Andrew W. Bismark ◽  
Michael L. Thomas ◽  
Melissa Tarasenko ◽  
Alexandra L. Shiluk ◽  
Sonia Y. Rackelmann ◽  
...  

2015 ◽  
Vol 22 (3) ◽  
pp. 293-299 ◽  
Author(s):  
Hagai Maoz ◽  
Shai Aviram ◽  
Uri Nitzan ◽  
Aviv Segev ◽  
Yuval Bloch

Objective: The study of ADHD uses various computerized tests to assess cognitive functions. Uncertainty exists regarding the association between deficits found by different tools testing similar or different cognitive functions (e.g., continuous performance tests [CPT] and response inhibition [RI] tests).We hypothesized that different tools that measure continuous performance will be better correlated between themselves than with a tool that examines RI. Method: Thirty-six adults with ADHD performed two different CPTs and a RI task. We analyzed correlations between different measures examined by the tasks. Results: There were strong correlations between corresponding measures in the CPTs. Correlations between the results in CPT and the RI task were only minimal. Conclusion: These findings support the specificity of impairments in different cognitive domains (continuous attention vs. RI) beyond the specific test used in the study of ADHD. Also, these findings strengthen the importance of specific discriminative cognitive domains in ADHD.


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