Search Results (1,296)

Background: Adult females with Autism Spectrum Disorder (ASD) and Attention Deficit Hyperactivity Disorder (ADHD) are frequently underdiagnosed due to gender bias, overlapping symptoms, and limited awareness among healthcare professionals. The scarcity of research on this subject—particularly in the UK context—underscores the need for further investigation. Accordingly, the aim of this study was to explore the lived experiences of adult females receiving a late diagnosis of ASD and/or ADHD and to identify key barriers within the UK diagnostic pathway. This study addresses a critical knowledge gap by examining the factors contributing to delayed diagnosis within the United Kingdom. Study Design and Method: The study employed a qualitative approach, utilising an anonymous online questionnaire survey comprising nine open-ended questions. Responses were obtained from 52 UK-based females aged 35–65 years who had either received or were awaiting a diagnosis of ASD and/or ADHD. Data were analysed thematically within a constructivist framework. Findings: The analysis revealed three overarching themes: (i) limited understanding and lack of empathy among healthcare professionals, (ii) insufficient post-diagnostic support, with most participants reporting no follow-up care, and (iii) a complex, protracted diagnostic process, often involving waiting periods exceeding three years. Gender bias and frequent misdiagnosis were recurrent issues, contributing to significant psychological distress. These findings underscore the need for systemic reforms and align closely with gaps identified in the existing literature. Conclusions: The findings emphasise the urgent need for gender-sensitive diagnostic frameworks, enhanced professional training, and a person-centred approach to care. Key recommendations include shortening diagnostic waiting times, strengthening healthcare professionals’ knowledge base, and ensuring equitable and consistent post-diagnostic support. Full article

Eyeblink conditioning (EBC), a form of Pavlovian learning that relies on cerebellar circuits, offers a translationally relevant assay of adaptive learning and cerebellar integrity. In delay EBC, a conditioned stimulus (CS), such as a tone, overlaps with and co-terminates with the unconditioned stimulus (US), typically a brief air puff to the cornea. Trace EBC introduces a stimulus-free interval between CS offset and US onset, engaging additional brain structures such as the hippocampus. Acquisition of conditioned responses (CRs), their timing, and resistance to extinction have all been linked to cerebellar function. While EBC is a well-established paradigm in the experimental analysis of behavior and neuroscience, human studies applying it to ADHD populations remain limited and show inconsistent findings. One potential explanation for this variability lies in procedural differences across studies, particularly in the temporal structure of conditioning trials. A key parameter in Pavlovian learning is the ratio of the inter-US interval (C; time between USs) to the CS–US interval (T; time between CS onset and US onset). Known as the C/T ratio, this value indexes the informational value of the CS in predicting the US and has been shown to influence acquisition speed and response strength. Despite its theoretical importance, the C/T ratio is rarely reported or standardized in human EBC studies involving ADHD. The present review aims to characterize procedural features—especially C/T ratios—used in EBC research with ADHD populations or models, with a focus on how such parameters may shape performance and interpretability in studies probing cerebellar function. Full article

Objective: Current data on the association between attention-deficit/hyperactivity disorder (ADHD) and essential hypertension (EH) in pediatric populations are very limited, as most research has focused on adults. This study investigated the long-term prevalence of EH in Israeli youth aged 5–18 years with ADHD, examining also trends in antihypertensive medication use. Methods: A retrospective cohort study was conducted using data from Leumit Health Services. The ADHD cohort (N = 18,558) was compared in a 1:2 ratio to controls (N = 37,116), who were strictly matched for age, gender, birth year and quarter, socioeconomic status (SES), sectors, region, and cumulative years of LHS membership up to the index date. Diagnoses of ADHD and EH were identified using ICD-9/10 codes, depending on the year of diagnosis. Logistic regression analyses were used to assess the associations between ADHD, EH and the use of antihypertensive medications over a 20-year follow-up. Results: ADHD-diagnosed children had a higher prevalence of EH, with odds ratios (ORs) of 3.17 (95% CI: 1.46–7.16, p = 0.0017) at 5 years, 2.94 (95% CI: 1.45–6.09, p = 0.0013) at 10 years, and 1.92 (95% CI: 1.26–2.93, p = 0.0015) at 20 years. ADHD patients showed a greater use of antihypertensive medications, including calcium channel blockers (OR 1.85, 95% CI: 1.02–3.35, p = 0.035), renin angiotensin system blockers (OR 2.20, 95% CI: 1.15–4.25, p = 0.013), and diuretics (OR 1.77, 95% CI: 1.21–2.60, p = 0.0028). Conclusions: These findings highlight an association between ADHD diagnosis and EH, suggesting regular cardiovascular monitoring of children with ADHD. Further studies are needed to uncover the role of stimulant medications and shared biological and behavioral factors involved in the pathogenesis. Full article

Neurodevelopmental disorders (NDDs) are neurobiological conditions that arise in childhood and affect the personal, social, academic, and occupational development of those who exhibit them. The aim of this study is to analyze scientific research on neurodevelopmental disorders and their relationship to accessibility in cultural heritage, to identify the methodological approaches that currently predominate, and to examine which types of NDD are most studied and which ones are currently overlooked in scientific research. Existing adaptations for people with autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) were used as a reference point for the analysis, given their high prevalence in the child population. This study was conducted following the DSM-5-TR criteria and the PRISMA 2020 protocol to select and analyze scientific articles published in the last decade, between 2015 and 2025, obtained from the Scopus database. The results show an increase in the dissemination of scientific literature on access to cultural heritage for people with NDDs, although in a very limited way. Furthermore, within the NDDs themselves, it is ASD that appears to be most represented, with an increase in applied techniques and inclusive experiences. Based on these findings, it is recommended that future research focus on finding educational tools and best practices that promote inclusion and accessibility to cultural heritage for people with other developmental disabilities, such as ADHD. Full article

Background: This study examines whether participation in STEAM-based educational activities is associated with improvements in executive functions (EFs) and cognitive skills in children with Attention Deficit Hyperactivity Disorder (ADHD). Methods: A total of 60 children diagnosed with ADHD (mean age = 8 years) participated, with 30 following a traditional educational approach and 30 engaged in STEAM-based activities. Executive functions and cognitive abilities were assessed using standardized instruments (BRIEF, WISC-V, CARAS-R), and data were analyzed with IBM SPSS Statistics 25. Results: Children in the STEAM group outperformed the control group across several domains, showing statistically significant gains in inhibition, planning and organization, verbal comprehension, visuospatial skills, processing speed, total IQ, efficiency, and the Impulsivity Control Index (ICI). Conclusions: These findings suggest that STEAM-based educational experiences may support neurodevelopmental growth and enhance cognitive and executive functioning in children with ADHD, although causal inferences cannot be drawn due to the cross-sectional design. Full article

Background/Objectives: Attention-deficit/hyperactivity disorder (ADHD) is a highly heritable neurodevelopmental condition, and pharmacogenetic studies aim to clarify interindividual variability in treatment responses and adverse effects. Despite increasing research, the field remains fragmented. This review provides a bibliometric analysis of ADHD pharmacogenetics (2005–2025), identifying its intellectual foundations, thematic structure, and global distribution. Methods: A bibliometric search was conducted in Scopus and Web of Science, retrieving 711 documents published between 2005 and July 2025. Data were analyzed with the Bibliometrix R package and Biblioshiny interface, applying bibliometric mapping, Bradford’s Law, co-word analysis, and thematic mapping. Only peer-reviewed journal articles, books, and book chapters were included to ensure scientific rigor. Results: The dataset shows a modest annual growth rate but strong impact, with an average of 29.6 citations per article. Highly cited works converge into four domains: (i) clinical guidelines and pharmacological treatments; (ii) cognitive heterogeneity and subtypes; (iii) neurodevelopmental and genetic mechanisms; (iv) environmental and health-related influences. Geographically, the United States leads with 24.8% of publications, followed by Brazil, China, and European countries. Keyword analysis reveals two main clusters: a clinical–therapeutic pole (methylphenidate, atomoxetine, child) and a genetic–molecular pole (dopamine transporter, SNPs, genotype). Conclusions: ADHD pharmacogenetics shows consolidation with strong clinical and genetic cores but limited integration of comorbidity, adult populations, and non-stimulant treatments. Future research should prioritize multi-center cohorts, multi-omic designs, and stronger international collaboration to advance precision medicine in ADHD. Full article

Background: The COVID-19 virus is a source of both acute and chronic stress for many people. This stress could uniquely impact children and their mental health. Research has shown that children with neurodevelopmental disorders such as Attention-Deficit/Hyperactivity Disorder (ADHD) are at an increased risk of negative mental health symptoms due to stress, but high-quality sleep may be associated with a protective role against these symptoms. We, therefore, aimed to investigate whether the impacts of COVID-19 and sleep problems were independently linked with children’s mental health and to examine whether sleep could mediate the relationship between COVID-19 impact and child mental health. Finally, we sought to compare the degree to which sleep problems could mediate this relationship in children without ADHD and in children with ADHD. Methods: In this cross-sectional study, a total of 304 parents of children were sampled from a larger study investigating the impact of the COVID-19 pandemic on Canadian families and children in the spring of 2021. Parents reported on their children’s mental health, sleep, and the impacts of COVID-19 on their child. Of the total sample, 234 children were reported as having an ADHD diagnosis, and 70 children were reported to not have ADHD. Results: We found that both the impact of COVID-19 and sleep problems independently and positively contributed to the mental health symptoms (p < 0.001) experienced by children with ADHD and without ADHD. Children with ADHD were found to have higher scores for COVID-19 child impact, sleep problems, and negative mental health. However, sleep problems had a greater impact on the mental health of children without ADHD compared to ADHD children. Additionally, the results suggest that sleep problems mediated ~20% of the relationship between COVID-19 impact and child mental health in children with ADHD and ~51% of this relationship in children without ADHD. Conclusions: The findings emphasize the significant role of sleep in mediating child mental health symptoms during periods of stress in children without ADHD and in children with ADHD. We highlight the importance of considering sleep quality and supporting healthy sleep in times of stress to improve child mental health symptoms. Full article

Attention deficit hyperactivity disorder (ADHD) presents significant challenges in all age groups, affecting various aspects of daily functioning and quality of life. Objective: This study aims to explore the rate and associated factors of unemployment among ADHD in adults. A retrospective cohort study was conducted, including 179 adults diagnosed with ADHD seeking consultation at a comprehensive ADHD clinic at a tertiary hospital in urban Oman. Sociodemographic characteristics, clinical presentations, and factors associated with employment status were collected. 41% of the participants were actively seeking employment. Among the correlates of unemployment is obesity (OR 5.64, p = 0.011, 95% CI 1.49–21.43). Other variables, including education level and marital status, also influenced employment rates, with bachelor’s degree holders showing higher chances of unemployment (OR 5.35, p = 0.009, 95% CI 1.52–18.88). Marital status was closely associated with unemployment, with 39.5% of married individuals unemployed (p = 0.022). Furthermore, anxiety disorders were closely associated with unemployment (p = 0.026). Nearly one-third of the cohort had a comorbid substance use disorder (30%), and 6% reported suicidal attempts. This study highlights the significantly high prevalence of job seeking among adults with ADHD. Obesity, education level, marital status, and anxiety disorders were strongly associated with job search. Full article

Background: Chemical Intolerance (CI), Autism Spectrum Disorder (ASD) and Attention Deficit Hyperactive Disorder (ADHD) are conditions with rising incidence rates not fully explained by greater awareness or changes in diagnostic practices. It is now generally accepted that the interaction between genetic and environmental exposures plays a role in all of these conditions. Prior studies show that these conditions co-occur. This study seeks to explore previous findings using an international sample. Methods: A five-country (N = 5000) stratified panel survey was used to assess self-reported CI in themselves, and ASD and ADHD in their children. A generalized linear model was used to estimate Odds Ratios. Age- and sex-adjusted logistic models used CI as a predictor of ASD and ADHD in separate models. Results: Compared to those classified as Low CI, High levels of CI were associated with greater Odds Ratios (OR) of reporting a child with ASD and ADHD in all countries except Japan. Italy, India, and the USA had over twice the OR of reporting a child with ASD. Mexico had over 1.9 times the OR. The results with ADHD are similar to the ASD results. Conclusions: The results of this study are consistent with two prior U.S. studies, showing an association between ASD and ADHD among women who have CI. However, cross-cultural comparisons, especially prevalence estimates for ASD and ADHD, cannot be interpreted as epidemiologic rates due to serious limitations of the survey methodology. No causal relationship should be inferred from this study. Full article

Background: Attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) are prevalent neurodevelopmental conditions in childhood. Beyond biological factors, social and environmental conditions influence developmental experiences and pathways to diagnosis. Nationally representative studies examining multiple social determinants in relation to ADHD, ASD, and comorbidity across recent years remain limited. Methods: We analyzed pooled cross-sectional data from six cycles (2018–2023) of the U.S. National Survey of Children’s Health, including 205,480 children aged 3–17 years. Parent-reported, clinician-diagnosed current ADHD and ASD were the primary outcomes; comorbid ADHD and ASD were examined secondarily. Social determinants included household income relative to the federal poverty level, parental education, health insurance type, food insecurity, and caregiver-reported neighborhood safety. Survey-weighted prevalence estimates and logistic regression models accounted for the complex sampling design and adjusted for demographic, family, regional, and temporal factors. Results: The weighted prevalence of ADHD was 9.7% and ASD was 2.9%; 1.1% of children had comorbid ADHD and ASD. Lower household income, food insecurity, unsafe neighborhood conditions, and lower parental education were associated with higher adjusted odds of both conditions. Boys had substantially higher odds of ADHD and ASD. After adjustment, non-Hispanic Black and Hispanic children had lower odds of ASD than non-Hispanic White children, consistent with differential identification rather than lower underlying prevalence. Comorbidity was concentrated among socially disadvantaged children. Conclusions: ADHD and ASD are socially patterned across U.S. children. Integrating developmental screening with assessment of social risks may support more equitable identification and intervention. Full article

Neurodevelopmental disorders (NDDs) are defined as a group of conditions that result from impaired brain development. Disorders that are commonly classified under NDDs include intellectual disability (ID), autism spectrum disorder (ASD), attention-deficit/hyperactivity disorder (ADHD), communication and learning disorders, developmental delay (DD), brain malformations, cerebral palsy, Down syndrome, schizophrenia, and childhood epilepsies. A significant hinderance in the development of targeted treatments for NDDs are gaps in understanding how underlying genetic changes alter cellular physiology and how these changes may converge or diverge across NDDs with similar symptoms. Here, we focus on the genetic overlap between epilepsy, ASD, and other NDDs to identify common cellular and molecular mechanisms that may inform future treatments for each of these disorders individually or together. We describe several genes—including CDKL5, TSC1/2, SCN1a, and TANC2—that have been associated with epilepsy, ASD, or other NDD phenotypes that play a critical role in regulating one or more stages of brain development or function but differ widely in their disease-causing mechanisms. We also describe genotype–phenotype relationships. Finally, how a gene may cause NDDs through distinct functional pathways, or where different types of pathogenic variants within the same gene can have significantly different phenotypic outcomes is detailed. Full article

Sensory processing differences, reported in up to 97% of individuals with autism spectrum disorder (ASD), are increasingly recognized as a defining feature of the condition, shaping perception, cognition, and adaptive behavior. Atypical sensory responsivity, ranging from hyper- to hypo-reactivity and sensory seeking, emerges early in development and contributes to the clinical and neurobiological heterogeneity of autism. Alterations in neural connectivity, the balance of excitation and inhibition, and multisensory integration are thought to underlie these sensory profiles, influencing emotional regulation, attention, and social interaction. Sensory features also interact with co-occurring conditions such as anxiety, attention deficit hyperactivity disorder, and sleep and feeding difficulties, thereby shaping developmental trajectories and influencing adaptive behavior. Clinically, these sensory dysfunctions have a significant impact on daily participation and quality of life, extending their effects to family functioning. Understanding individual sensory phenotypes is therefore essential for accurate assessment and personalized intervention. Current therapeutic approaches include Sensory Integration Therapy, Sensory-Based Interventions, Sequential Oral Sensory Approach, and structured physical activity programs, often complemented by behavioral and mindfulness-based techniques. Emerging neuroplasticity-oriented methods for targeted modulation of sensory processing networks include neurofeedback and non-invasive brain stimulation. Overall, current evidence highlights the central role of sensory processing in ASD and underscores the need for multidisciplinary, individualized approaches to optimize developmental trajectories and enhance adaptive functioning. This review provides an updated synthesis of sensory processing in ASD, integrating neurobiological, developmental, and clinical evidence to highlight established knowledge, unresolved questions, and priorities for future research. Full article

Adaptive technologies have become more sophisticated with Artificial Intelligence (AI) and the Internet of Things (IoT), providing world-changing solutions to help people living with disabilities live better lives. In this article, we discuss the potential of AI and IoT to address issues related to Down Syndrome (DS), Autism Spectrum Disorder (ASD), Mobility Impairment (MI), Hearing Impairment (HI), Attention-Deficit/Hyperactivity Disorder (ADHD), and Visual Impairment (VI). In addition, we propose an analytical framework for evaluating AI and IoT disability assistance prototypes. The framework consists of three different layers: Disability Monitoring, Disability Analysis, and Disability Assistance layers. In each layer, a set of dimensions are identified (e.g., technology, data, security, customization, and response time) and used as criteria to evaluate the research prototypes. Moreover, we evaluate 30 representative AI and IoT disability assistance research prototypes published from 2020 to 2024. The evaluation offers valuable insights into the new strategies, technologies, and approaches that will define AI and IoT disability support in the future. While these technologies have promise in enabling access, autonomy, and interfacing, there remain major open research issues such as data privacy, security, cost, scalability, and real-time response. Furthermore, we discuss future research directions to tackle these issues and allow the people with disabilities community to enhance their quality of life and be more independent. Full article

Background: Adults with attention-deficit/hyperactivity disorder (ADHD) often have comorbid substance use disorders (SUDs). In Italy, individuals with both ADHD and heroin use disorder (HUD) are usually treated in addiction services with opioid agonist therapy (OAT), but stimulant medications are rarely prescribed. This may create a treatment gap for core ADHD symptoms. Aim: This study examined the clinical and behavioural profiles of ADHD patients with HUD who receive OAT but no stimulant treatment, compared to ADHD patients without opioid use disorder (ADHD/NoHUD) on standard pharmacotherapy. All participants were considered treatment responders in their respective services. Methods: Data were collected from two outpatient clinics and included 103 adult ADHD patients assessed using validated tools for symptom severity, emotional dysregulation, and global functioning. Differences between groups were analysed using univariate tests and logistic regression. Results: The ADHD+HUD group was significantly older and showed higher levels of emotional dysregulation, impulsivity, and current cocaine use. Despite clinical stability, these individuals presented a more severe psychopathological profile than their ADHD/NoHUD counterparts, who received stimulant-based treatment. Conclusions: Although limited by its cross-sectional nature and setting-related confounders, the study indicates that OAT alone may not be sufficient to manage neurodevelopmental symptoms in ADHD+HUD patients. Further research is necessary to assess the safety and efficacy of integrated stimulant-based treatments, ideally within dual disorder services combining psychiatric and addiction expertise. Full article

Background/Objectives: Suicidal behaviors are a major clinical concern in adolescents, particularly among those with disorders marked by emotion dysregulation and impulsivity. Although attention-deficit/hyperactivity disorder (ADHD) and borderline personality disorder (BPD) each heighten suicide risk, little is known about whether their occurrence confers additive or interactive effects in youth. This study examined whether ADHD and BPD diagnoses show additive or interactive associations with the suicide risk in adolescents. Methods: In this cross-sectional observational clinical study, the sample included 108 Polish adolescents (66.7% female; aged 13–17 years) recruited from inpatient and outpatient psychiatric settings (Independent Public Healthcare Facility, Children and Youth Treatment Center in Zabór, the Youth Sociotherapy Center No. 2 in Wrocław, and the District Educational Center in Jerzmanice-Zdrój (Poland)). The data collection for our study was conducted between May 2024 and July 2025. Diagnoses and suicide risk were assessed using the Mini International Neuropsychiatric Interview for Children and Adolescents (MINI-KID 7.02). Associations of ADHD and BPD with suicide risk were tested using linear and logistic regression models while accounting for age, sex, the current depressive episode, and the use of psychiatric medications. Results: Unadjusted analyses revealed significant main, but not interactive, associations of BPD and ADHD with suicide risk. When covariates were included in the model, BPD remained strongly associated with suicidality severity and with the presence of any suicide risk (adjusted OR = 7.00, 95% CI [1.55–31.57]), whereas the association between ADHD and suicidality was attenuated and did not reach conventional levels of statistical significance (adjusted OR = 3.48, 95% CI [0.93–13.08]). No statistically detectable ADHD × BPD interaction was observed. Estimates for ADHD were directionally consistent across models but characterized by wide confidence intervals. Conclusions: Adolescents with BPD appear to be at particularly high risk of suicide and should receive focused assessment, safety planning, and early intervention as part of routine care. In contrast, suicidality among adolescents with ADHD appears to be influenced by co-occurring clinical conditions, and its independent association with suicide risk remains statistically uncertain after adjustment. Clinicians should therefore remain alert to suicidality in youth with ADHD, while paying particular attention to accompanying symptoms and comorbid diagnoses that may further increase risk. Full article