Attention Deficit Hyperactivity Disorder (ADHD): Diagnosis, Treatment, and Management

A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Mental Health".

Deadline for manuscript submissions: 25 September 2024 | Viewed by 1447

Special Issue Editor


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Guest Editor
School of Human and Health Sciences, University of Huddersfield, Queensgate, Huddersfield HD1 3DH, UK
Interests: ADHD; neurodevelopmental disorders; autism; AI in mental health; service development
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Special Issue Information

Dear Colleagues,

We are organizing a Special Issue on adult ADHD, specifically focusing on the clinical pathway from pre-diagnosis, referral, and diagnostic and treatment approaches.

Adult ADHD is a rather new diagnostic category compared to other disorders, despite it being researched considerably. Areas of focus have been neuropsychology, biological markers, genetic markers, neuroanatomy, and neuroimaging.

Globally, there seems to be increased demand for assessments and treatments for ADHD, and in conjunction with this, there have been developments in the assessment and treatment methods used. In addition to the refinement of the construct of ADHD as it applies to women, the search is expanding to cover specific medical populations, for example, post-menopausal women, or finding associations with specific medical conditions such as cardiovascular diseases. The overlap in terms of types of impairments with other neurodevelopmental disorders continues to be elucidated.

In this context, the use of technology in the diagnosis of ADHD, either using AI or wearable devices, has been emerging. The pace of innovation in this field is enormous, with several technological solutions being put forward to aid the diagnosis of ADHD.

Regarding treatment approaches, several new pharmacological approaches have been studied, and different psychological and other types of methods are being developed to achieve a more holistic approach to therapeutics than medication.

This Special Issue is designed to collect articles focusing on new populations in which ADHD can be found, new approaches to diagnostics, and new treatment approaches. It welcomes input from different disciplines who feel they can contribute to this discussion.

Prof. Dr. Marios Adamou
Guest Editor

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Keywords

  • adult ADHD
  • neurodevelopmental disorders
  • clinical diagnostics
  • digital diagnostics
  • artificial intelligence
  • multimodal treatments

Published Papers (2 papers)

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Research

13 pages, 1725 KiB  
Article
A Nomogram for Predicting ADHD and ASD in Child and Adolescent Mental Health Services (CAMHS)
by Hilario Blasco-Fontecilla, Chao Li, Miguel Vizcaino, Roberto Fernández-Fernández, Ana Royuela and Marcos Bella-Fernández
J. Clin. Med. 2024, 13(8), 2397; https://doi.org/10.3390/jcm13082397 - 19 Apr 2024
Viewed by 297
Abstract
Objectives: To enhance the early detection of Attention Deficit/Hyperactivity Disorder (ADHD) and Autism Spectrum Disorder (ASD) by leveraging clinical variables collected at child and adolescent mental health services (CAMHS). Methods: This study included children diagnosed with ADHD and/or ASD (n = 857). [...] Read more.
Objectives: To enhance the early detection of Attention Deficit/Hyperactivity Disorder (ADHD) and Autism Spectrum Disorder (ASD) by leveraging clinical variables collected at child and adolescent mental health services (CAMHS). Methods: This study included children diagnosed with ADHD and/or ASD (n = 857). Three logistic regression models were developed to predict the presence of ADHD, its subtypes, and ASD. The analysis began with univariate logistic regression, followed by a multicollinearity diagnostic. A backward logistic regression selection strategy was then employed to retain variables with p < 0.05. Ethical approval was obtained from the local ethics committee. The models’ internal validity was evaluated based on their calibration and discriminative abilities. Results: The study produced models that are well-calibrated and validated for predicting ADHD (incorporating variables such as physical activity, history of bone fractures, and admissions to pediatric/psychiatric services) and ASD (including disability, gender, special education needs, and Axis V diagnoses, among others). Conclusions: Clinical variables can play a significant role in enhancing the early identification of ADHD and ASD. Full article
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21 pages, 1659 KiB  
Article
A Female-Specific Treatment Group for ADHD—Description of the Programme and Qualitative Analysis of First Experiences
by M. de Jong, D. S. M. R. Wynchank, M. Michielsen, A. T. F. Beekman and J. J. S. Kooij
J. Clin. Med. 2024, 13(7), 2106; https://doi.org/10.3390/jcm13072106 - 04 Apr 2024
Viewed by 740
Abstract
Background: The diagnostics and treatment of attention-deficit/hyperactivity disorder (ADHD) in women remain insufficient. Fluctuations of reproductive hormones during the premenstrual period, postpartum period, and (peri)menopause are neglected, even though they impact ADHD symptoms and associated mood disorders. Therefore, we created a female-specific [...] Read more.
Background: The diagnostics and treatment of attention-deficit/hyperactivity disorder (ADHD) in women remain insufficient. Fluctuations of reproductive hormones during the premenstrual period, postpartum period, and (peri)menopause are neglected, even though they impact ADHD symptoms and associated mood disorders. Therefore, we created a female-specific treatment group for women with ADHD and premenstrual worsening of ADHD and/or mood symptoms. Methods: We describe the group programme and underlying rationale, offering a qualitative analysis of the participants’ evaluation. Results: The seven bi-weekly sessions foreground the menstrual cycle and address several ADHD-specific topics in relation to this cyclical pattern. Concurrently, women track their menstrual cycle and (fluctuating) ADHD and mood symptoms with an adjusted premenstrual calendar. In total, 18 women (25–47 years) participated in three consecutive groups. We analysed the evaluation of the last group. Participants experienced the group as a safe and welcoming space. Recognition was valued by all. The topics discussed were deemed valuable, and the structure suited them well. Completing the premenstrual calendar augmented the awareness and recognition of individual cyclical symptoms. A lifespan approach increased self-understanding. Participants took their menstrual cycle more seriously, prioritising self-acceptance and self-care. Conclusions: Exploring a cyclical approach in a group setting seems to be a positive addition to treatment for female ADHD. Full article
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