JOURNAL ARTICLE

Do executive functions differentiate Iranian children with attention-deficit/hyperactivity disorder with and without comorbid obesity?

  • Published In: Archives of Clinical Neuropsychology, 2023, v. 38, n. 8. P. 1659 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Parhoon, Kamal; Aita, Stephen L; Mohammadi, Azad; Roth, Robert M 3 of 3

Abstract

This article focuses on comparing executive function (EF) profiles between Iranian children aged 8–13 with attention-deficit/hyperactivity disorder (ADHD) with and without comorbid obesity. Using a battery of culturally adapted performance-based "cool" EF tasks (e.g., working memory, cognitive flexibility, response inhibition) and parent-reported measures of "hot" EF (future-oriented cognition such as delay of gratification), the study found a gradient of cognitive performance: typically developing children performed best, followed by children with ADHD without obesity, and then children with ADHD and obesity who showed the greatest impairments. Specifically, children with ADHD and obesity exhibited significantly poorer working memory, cognitive flexibility, inhibitory control, attentional bias, prospective memory, episodic foresight, and delay of gratification compared to those with ADHD alone. These findings suggest that obesity in children with ADHD is associated with broader deficits in both "cool" and "hot" executive functions, highlighting the need for integrated treatment approaches addressing these cognitive domains.

Additional Information

  • Source:Archives of Clinical Neuropsychology. 2023/12, Vol. 38, Issue 8, p1659
  • Document Type:Article
  • Subject Area:Psychology
  • Publication Date:2023
  • ISSN:0887-6177
  • DOI:10.1093/arclin/acad053
  • Accession Number:173856454
  • Copyright Statement:Copyright of Archives of Clinical Neuropsychology is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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