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Comparative Analysis of the WISC between Two ADHD Subgroups

Overview of attention for article published in Psychiatry Investigation, November 2017
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Title
Comparative Analysis of the WISC between Two ADHD Subgroups
Published in
Psychiatry Investigation, November 2017
DOI 10.30773/pi.2017.07.12
Pubmed ID
Authors

Yoichiro Kubo, Tetsufumi Kanazawa, Yasuo Kawabata, Koyuki Tanaka, Tatsushi Okayama, Miho Fujta, Atsushi Tsutsumi, Shingo Yokota, Hiroshi Yoneda

Abstract

The prevalence of attention deficit/hyperactivity disorder (ADHD) in school-age children is 7.2%, and ADHD is divided into clinical subtypes. The current study explored whether specific cognitive profiles as assessed using the Wechsler Intelligence Scale for Children (WISC)-IV could be obtained for each clinical ADHD subtype (ADHD-Inattentive type and ADHD-Combined type) and investigated the correlation between WISC scores and parental age at their children's birth or birthweight. The enrolled sample comprised 12 ADHD-I and 15 ADHD-C subjects. An impaired Processing Speed Index was found in ADHD-I. The age of the father at the child's birth and birthweight positively correlated with the full scale intelligence quotient (FSIQ) score in the WISC assessment. Inattentiveness within the behaviors of the children with ADHD-I is partly due to the impaired processing speed, therefore effective support for ADHD will be conducted if educator decreases their speaking speed. Since biological basis of ADHD is still largely unknown, future studies using both psychological and biological methods will reveal the etiology of ADHD. These scientific assessments will provide information for more effective approaches in the care of children with ADHD.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 4 12%
Student > Bachelor 3 9%
Student > Ph. D. Student 3 9%
Other 2 6%
Researcher 2 6%
Other 6 18%
Unknown 14 41%
Readers by discipline Count As %
Psychology 13 38%
Economics, Econometrics and Finance 1 3%
Nursing and Health Professions 1 3%
Medicine and Dentistry 1 3%
Engineering 1 3%
Other 0 0%
Unknown 17 50%