Introduction: Attention Deficit Hyperactivity Disorder (ADHD) is one of the most common pediatric mental health problems but often goes unrecognized. Children with ADHD have an increased risk of injuries. Whether injured children presenting to the emergency department (ED) have an increased frequency of unrecognized ADHD symptoms compared to noninjured children is not known.
Purpose: Examine the association of medically unrecognized ADHD symptoms in injured compared to noninjured children presenting to a pediatric ED.
Methods: A prospective age- and sex-matched cross-sectional comparison design of parent reported ADHD symptoms based on the Vanderbilt Assessment Scale in injured and noninjured children ages 5 to 18 years. Families were excluded if ADHD was listed in the medical history by nurses or physicians or if the child was currently taking medications for ADHD. Injured children were matched with noninjured children who presented with medical complaints. Univariate and bivariate analyses were performed. Proportions of children with ADHD symptoms in injured and noninjured children were compared with the chi statistic.
Results: One hundred sixty-four mothers of children were enrolled into the study: 82 in the injured and 82 noninjured group. The frequency of parent reported ADHD symptoms was the same in the 2 groups (9.8%).
Conclusions: Children presenting with injuries are no more likely than a noninjured age- and sex-matched group to have unrecognized ADHD based on parental screen. Targeting injured children for ADHD screening is not supported by this study.
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http://dx.doi.org/10.1097/PEC.0b013e31817de130 | DOI Listing |
J Clin Exp Neuropsychol
January 2025
Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, IL, USA.
Introduction: Diagnostic evaluations for attention-deficit/hyperactivity disorder (ADHD) are becoming increasingly complicated by the number of adults who fabricate or exaggerate symptoms. Novel methods are needed to improve the assessment process required to detect these noncredible symptoms. The present study investigated whether unsupervised machine learning (ML) could serve as one such method, and detect noncredible symptom reporting in adults undergoing ADHD evaluations.
View Article and Find Full Text PDFChildren (Basel)
January 2025
Department of Obstetrics and Gynecology, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania.
Background/objectives: Although ADHD in adults has become visible and inclusive in recent years in diagnostic manuals, research is still limited regarding the long-term outcomes of patients with this disorder. The main objective of this research was to address the many facets of predictor variables in girls with ADHD facing unplanned pregnancies at young ages in order to improve the management of pre-, peri-, and postnatal complications that may occur, as well as for early psychiatric diagnosis and effective intervention.
Methods: PubMed and Web of Science Databases were used to perform literature research, and a total of 27 records were selected and used for data extraction.
Children (Basel)
December 2024
Department of Surgery, Dentistry, Paediatrics and Gynaecology, University of Verona, 37126 Verona, Italy.
: Autism spectrum disorder (ASD), attention deficit hyperactivity disorder (ADHD), and Tourette syndrome (TS) are neurodevelopmental disorders (NDDs) with overlapping symptoms, suggesting a partially shared genetic origin. This study investigates the prevalence of connective tissue-related conditions in individuals with ASD, ADHD, or TS. : A questionnaire was administered to families of 120 individuals with ASD, ADHD, or TS, collecting sociodemographic data and examining 10 types of disorders affecting various organs and systems.
View Article and Find Full Text PDFHealthcare (Basel)
January 2025
Research, Development, and Innovation Laboratory, Mundiapolis University, Casablanca 20180, Morocco.
Attention Deficit Hyperactivity Disorder (ADHD) is a disorder that starts in childhood, sometimes persisting into adulthood. It puts a strain on their social, professional, family, and environmental lives, which can exacerbate disorders such as anxiety, depression, and bipolar disorder. : This paper aims to predict ADHD in children and adults and explain the main factors impacting this disorder.
View Article and Find Full Text PDFRes Involv Engagem
January 2025
Department of Experimental Psychology, University of Oxford, Oxford, UK.
Programmes designed to support children with known, or increased likelihood of, autism or ADHD often focus on reducing behaviours central to a clinical diagnosis. However, supporting children to pursue their own goals and cope with everyday life through fostering executive function (EF) development, without enforcing neuro-normative assumptions, may be more acceptable to neurodivergent people, and more beneficial. The co-production process for this neurodiversity-affirming programme involved: Review of research priorities identified during published public-and-clinician consultations; iterative programme development through two pilot rounds with a general community sample; and consultation with stakeholders (parents with a connection to autism or ADHD, alongside early years specialists, psychologists and therapists) to check acceptability of the proposal, and refine the logic model and materials.
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