2015
DOI: 10.1177/1087054715576343
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Intellectual Profiles in Children With ADHD and Comorbid Learning and Motor Disorders

Abstract: These intellectual profiles may have utility in identifying cognitive weaknesses inherent to these disorders and may be used to guide treatment intervention.

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Cited by 25 publications
(20 citation statements)
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“…Second, participants were pooled from a larger sample enrolled in a neuroimaging study wherein participants were recruited primarily from local schools, which may influence sample characteristics such as IQ and SES in comparison to clinic samples. In particular, the average IQ of our ADHD sample (mean FSIQ = 110) is relatively high compared to other studies in the literature (e.g., Parke, Thaler, Etcoff, & Allen, 2015 report an average FSIQ of 102). While this reduces the potential confound of IQ differences often present in delay discounting studies of individuals with ADHD, it may also limit the generalizability of our findings.…”
Section: Discussioncontrasting
confidence: 55%
“…Second, participants were pooled from a larger sample enrolled in a neuroimaging study wherein participants were recruited primarily from local schools, which may influence sample characteristics such as IQ and SES in comparison to clinic samples. In particular, the average IQ of our ADHD sample (mean FSIQ = 110) is relatively high compared to other studies in the literature (e.g., Parke, Thaler, Etcoff, & Allen, 2015 report an average FSIQ of 102). While this reduces the potential confound of IQ differences often present in delay discounting studies of individuals with ADHD, it may also limit the generalizability of our findings.…”
Section: Discussioncontrasting
confidence: 55%
“…First, it is important to consider the role of intellectual ability, both in terms of the greater difference in FSIQ between the ADHD and TD samples in the Wilson et al (2011) study (13-point difference: ADHD = 105; TD = 118) compared to our study (8-point difference: ADHD =108; TD =116) and the relatively higher IQ of our ADHD sample than is typically reported in the ADHD literature (e.g., Parke, Thaler, Etcoff, & Allen, 2015 report an average FSIQ of 102). Differences in IQ between ADHD and control samples are often reported, but it has been suggested that covarying for IQ may be inappropriate as this would control for a component of the disorder (Dennis et al, 2009).…”
Section: Discussionmentioning
confidence: 81%
“…Research into ASD (Mayes & Colhoun, 2008) and ADHD (Parke et al, 2015) populations also report poorer performance in PSI and WMI on the WISC, in comparison to the other indices. These two conditions show co-occurrence with DCD (Kirby & Sugden, 2007).…”
Section: Discussionmentioning
confidence: 99%
“…The Wechsler Intelligence Scale for Children, Fourth Edition (WISC-IV, 2003) provides a measure of Full Scale IQ (FSIQ), which is derived from performance on ten subtests that comprise four key indices: Verbal Comprehension (VCI), Perceptual Reasoning (PRI), Working Memory (WMI) and Processing Speed (PSI). Using these indices, or at the subtest level, researchers have attempted to delineate the pattern of cognitive function and its relation to the behavioural characteristics often shown in many neurodevelopmental disorders often seen in the classroom, such as: Autism Spectrum Disorder (ASD, Charman et al, 2010;Mayes & Calhoun, 2008;Oliveras-Rentas, Kenworthy, Roberson, Martin, & Wallace, 2012), dyslexia (Moura, Simoes, & Pereira, 2014), or Attention Deficit-Hyperactivity Disorder (ADHD; Hagberg, Miniscalco & Gillberg, 2010;Parke, Thaler, Etcoff & Allen, 2015). In support of the WISC-IV, practitioners argue that its most beneficial feature is to generate cognitive profiles to help determine educational placement (Pfeiffer, Reddy, Kletzel, Schmelzer & Boyer, 2012).…”
Section: Introductionmentioning
confidence: 99%