The self-esteem of children with Attention Deficit Hyperactivity Disorder (ADHD) has been shown to be low. The effects of stimulant medication upon their self-esteem have not been systematically studied. The present study employed a reliable self-report instrument to measure the self-esteem of children with ADHD medicated with stimulants vs. those who were unmedicated. Results showed that stimulants were associated with significantly higher self-esteem. Children with ADHD prescribed stimulants reported feeling more intelligent and more popular than unmedicated children with ADHD. Children with ADHD and Oppositional Defiant Disorder (ODD) prescribed stimulants reported feeling better behaved. Significant correlations indicated that higher doses were associated with higher self-esteem. The present results suggest a need for a well-controlled study to determine if stimulants were responsible for the observed differences in self-esteem.
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http://dx.doi.org/10.1089/cap.1999.9.185 | DOI Listing |
J Autism Dev Disord
January 2025
Center of Neurodevelopmental Disorders (KIND), Department of Women's and Children's Health, Centre for Psychiatry Research , Karolinska Institutet & Region Stockholm, Stockholm, Sweden.
The International Classification of Functioning, Disability and Health (ICF) is the World Health Organization's (WHO) standard for assessing individual functioning. Over the last decade, the ICF has been made more accessible for autism and ADHD through the development and validation of tailored shorter ICF versions for these diagnoses, ICF Core Sets. To further enhance their applicability in research and practice, these Core Sets have been operationalized and implemented on an online platform, the ICF CoreSets platform.
View Article and Find Full Text PDFJ Clin Child Adolesc Psychol
January 2025
Research and Clinical Science, Partnership to End Addiction.
Objective: Changing Academic Support in the Home for Adolescents with ADHD (CASH-AA) and Medication Integration Protocol (MIP) are two family-based behavioral protocols designed to promote family solutions to academic problems and medication decision-making. Building on a randomized control trial examining these protocols, the current study examined how protocol dose, an indicator of treatment adherence, was associated with treatment outcomes.
Method: The sample consisted of 145 adolescent clients (M age = 14.
BMC Pediatr
January 2025
Chair for Institutional Economics and Health Policy, Department of Philosophy, Politics and Economics, Witten/Herdecke University, Witten, Germany.
Background: In children and adolescents, the prevalence of chronic diseases, e.g., obesity, asthma, and attention-deficit/hyperactivity disorder (ADHD), has increased in the last decades.
View Article and Find Full Text PDFAppetite
January 2025
The First Affiliated Hospital of University of Science and Technology of China, Anhui, China; University of Science and Technology of China, Anhui, China. Electronic address:
Objectives: To examine the prevalence of food addiction (FA) among children and adolescents with attention deficit hyperactivity disorder (ADHD), and to explore the association between executive function and FA.
Study Design: This is a cross-sectional study. A total of 1,021 children and adolescents aged 6-18 years and their parents participated in this study and completed the Vanderbilt ADHD Diagnostic Parent Rating Scale, Yale Food Addiction Scale and Executive Function Behavior Rating Scale.
Cell Rep Med
January 2025
DiMePRe-J-Department of Precision and Rigenerative Medicine-Jonic Area, University of Bari "Aldo Moro", Bari, Italy.
The diagnosis of autism is currently based on the developmental history, direct observation of behavior, and reported symptoms, supplemented by rating scales/interviews/structured observational evaluations-which is influenced by the clinician's knowledge and experience-with no established diagnostic biomarkers. A growing body of research has been conducted over the past decades to improve diagnostic accuracy. Here, we provide an overview of the current diagnostic assessment process as well as of recent and ongoing developments to support diagnosis in terms of genetic evaluation, telemedicine, digital technologies, use of machine learning/artificial intelligence, and research on candidate diagnostic biomarkers.
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