Attention Deficit Hyperactivity Disorder Children Research Articles

The use of augmented reality in assessing and training children with attention deficit hyperactivity disorder

Attention deficit hyperactivity disorder (ADHD) is a serious issue that must be addressed in the modern world. Treatment for ADHD is challenging because it is costly, has adverse effects, might not be successful, and is not considered an emergency. The reason that ADHD is hard to manage is because it causes people-especially children-to make impulsive decisions that hinder their ability to succeed in school, the workplace, and other areas of life. As an alternative approach, neurofeedback therapy or play therapy, which relies on real-time feedback of an individual's brainwave activity typically collected through electroencephalogram (EEG), has demonstrated promising outcomes in the treatment of mental disorders and enhancing cognitive capabilities. On the other hand, prolonged exposure to repetitive feedback might result in lower engagement since people may become disinterested in the process and find it difficult to continue participating. An extensive assessment on the use of augmented reality (AR) in the context of pediatric ADHD has been carried out, with an emphasis on the benefits of creating games specifically for kids with ADHD. By using AR technology in a group of children, the goal of this study was to investigate the basic characteristics of AR systems that aid in the identification and treatment of ADHD in children.

Effectiveness of an Executive Functions Parental Program in ADHD Children

Attention/Deficit Hyperactivity Disorder (ADHD) is one of the most prevalent disorders in the child population. Evidence suggests that children with this disorder usually present impairments in executive functions (EF). This study aims to evaluate the effects of a home-based intervention applied by parents (Flii, A Space Adventure) on the EF of Brazilian children with ADHD. Sixteen children with ADHD aged 7 to 12 participated in this study. A battery of neuropsychological tests and questionnaires was applied as assessment. Afterwards, children’ received Flii programa applied at home by the parents. A relevant improvement in visuospatial working memory in the Flii group after the intervention (T2) compared to the control group. The results of the intragroup analyzes suggest that the intervention group had gains in processing speed, cognitive flexibility, verbal and visuospatial working memory. These results suggest that Flii was effective in promoting some changes in the children’ executive functioning.

The utility of wearable electroencephalography combined with behavioral measures to establish a practical multi-domain model for facilitating the diagnosis of young children with attention-deficit/hyperactivity disorder.

A multi-method, multi-informant approach is crucial for evaluating attention-deficit/hyperactivity disorders (ADHD) in preschool children due to the diagnostic complexities and challenges at this developmental stage. However, most artificial intelligence (AI) studies on the automated detection of ADHD have relied on using a single datatype. This study aims to develop a reliable multimodal AI-detection system to facilitate the diagnosis of ADHD in young children. 78 young children were recruited, including 43 diagnosed with ADHD (mean age: 68.07 ± 6.19 months) and 35 with typical development (mean age: 67.40 ± 5.44 months). Machine learning and deep learning methods were adopted to develop three individual predictive models using electroencephalography (EEG) data recorded with a wearable wireless device, scores from the computerized attention assessment via Conners' Kiddie Continuous Performance Test Second Edition (K-CPT-2), and ratings from ADHD-related symptom scales. Finally, these models were combined to form a single ensemble model. The ensemble model achieved an accuracy of 0.974. While individual modality provided the optimal classification with an accuracy rate of 0.909, 0.922, and 0.950 using the ADHD-related symptom rating scale, the K-CPT-2 score, and the EEG measure, respectively. Moreover, the findings suggest that teacher ratings, K-CPT-2 reaction time, and occipital high-frequency EEG band power values are significant features in identifying young children with ADHD. This study addresses three common issues in ADHD-related AI research: the utility of wearable technologies, integrating databases from diverse ADHD diagnostic instruments, and appropriately interpreting the models. This established multimodal system is potentially reliable and practical for distinguishing ADHD from TD, thus further facilitating the clinical diagnosis of ADHD in preschool young children.

Trajectories of attention problems in preschoolers born very preterm.

Children born preterm are at heightened risk for neurodevelopmental impairment, including specific deficits in attention. Few studies have investigated change over time in attention problems prior to school entry. The current study aims to describe trajectories of attention problems from age 2 through 5 years in a cohort of children born <30 weeks of gestational age (GA), identify sociodemographic, medical, and neurobehavioral characteristics associated with attention trajectories, and test whether attention problem trajectories predict the risk of a reported attention-deficit/hyperactivity disorder (ADHD) diagnosis. We studied 608 infants from the Neonatal Neurobehavior and Outcomes in Very Preterm Infants (NOVI) Study, a prospective, multisite study of infants born <30 weeks of GA. Parents reported on child attention problems at ages 2, 3, 4, and 5 years using the Child Behavior Checklist and the Behavior Assessment System for Children. Sociodemographic and medical characteristics were assessed via maternal interview and medical record review. Neurobehavioral characteristics were determined using neonatal and 2-year assessments. Parent report of child ADHD diagnosis was obtained. We used latent growth curve (LGC) modeling to test our study aims. A linear LGC model provided the best fit to the data. The average trajectory of attention problems evidenced low initial levels of symptoms and little change over time, yet there was significant heterogeneity in both initial levels and change over time. Individual differences in trajectory parameters were associated with sociodemographic, medical, environmental, and neurobehavioral characteristics. Children with higher initial levels of attention problems as well as steeper increases in attention problems over time were more likely to have a reported ADHD diagnosis. There is significant heterogeneity in trajectories of attention problems from age 2 to 5 in children born <30 weeks of GA and these differences have clinical relevance. These data could inform follow-up guidelines for preterm infants.

The Relationship Between Mental Health and Coping Strategies in Primary Caregivers of ADHD Patients

Taking care of a child with attention-deficit hyperactivity disorder (ADHD) has been linked to emotional problems. However, using effective coping strategies positively impact the mental health of caregivers for children with ADHD. This study aimed to investigate the relationship between ADHD caregivers’ coping strategies and their mental health. This cross-sectional study was conducted with 84 caregivers of ADHD children. The Coping Response Inventory and the General Health Questionnaire were completed by them. In the caregivers studied, emotion-focused coping’s score was positively correlated with somatic symptoms ( r = .45, p &lt; .001), anxiety and insomnia ( r = .52, p &lt; .001), social dysfunction ( r = .27, p &lt; .05), and depression ( r = .49, p &lt; .001). Similarly, physical inhibition or somatization of problem’s score was positively correlated with somatic symptoms ( r = .66, p &lt; .001), anxiety and insomnia ( r = .54, p &lt; .001), social dysfunction ( r = .32, p &lt; .01), and depression ( r = .36, p &lt; .001). Our findings indicate that ineffective coping strategies can potentially increase mental health problems in caregivers of children with ADHD.

Low perceived social support in mothers during pregnancy and early childhood; associations with anxiety and ADHD symptoms in children at 3 and 8 years.

Low perceived social support is associated with adverse effects on maternal mental health, and often coexists with other risk factors for offspring anxiety and attention-deficit/hyperactivity disorder (ADHD). We aimed to investigate whether low maternal social support during pregnancy and early childhood predicted anxiety and ADHD symptoms in children at ages 3.5 and 8 years. This study is part of the longitudinal, population-based Norwegian Mother, Father, and Child Cohort Study. Mothers were queried about perceived social support twice during pregnancy, and again at child ages 18 months and 3 years. They were interviewed about their children's symptoms of anxiety and ADHD at 3.5 years. At 8 years (n = 781), the Child Symptom Inventory-4 was used to identify children who fulfilled the criteria for anxiety disorders and ADHD. Logistic regression models estimated the risk of child anxiety and ADHD, depending on maternal social support. Low maternal social support predicted child anxiety symptoms at both ages 3.5 and 8 years as well as ADHD symptoms at 8 years. When including other maternal stressors and child risk factors, low maternal social support remained a significant predictor for child anxiety symptoms at 3.5 years, and there was a trend towards also predicting child anxiety and ADHD symptoms at 8 years. The associations between low maternal social support and child symptoms of anxiety and ADHD found in the present study, suggest that focusing on mothers with low social support may hold significance for child symptoms years later.

Change in striatal functional connectivity networks across 2 years due to stimulant exposure in childhood ADHD: results from the ABCD sample.

Widely prescribed for Attention-Deficit/Hyperactivity Disorder (ADHD), stimulants (e.g., methylphenidate) have been studied for their chronic effects on the brain in prospective designs controlling dosage and adherence. While controlled approaches are essential, they do not approximate real-world stimulant exposure contexts where medication interruptions, dosage non-compliance, and polypharmacy are common. Brain changes in real-world conditions are largely unexplored. To fill this gap, we capitalized on the observational design of the Adolescent Brain Cognitive Development (ABCD) study to examine effects of stimulants on large-scale bilateral cortical networks' resting-state functional connectivity (rs-FC) with 6 striatal regions (left and right caudate, putamen, and nucleus accumbens) across two years in children with ADHD. Bayesian hierarchical regressions revealed associations between stimulant exposure and change in rs-FC of multiple striatal-cortical networks, affiliated with executive and visuo-motor control, which were not driven by general psychotropic medication. Of these connections, three were selective to stimulants versus stimulant naive: reduced rs-FC between caudate and frontoparietal network, and between putamen and frontoparietal and visual networks. Comparison with typically developing children in the ABCD sample revealed stronger rs-FC reduction in stimulant-exposed children for putamen and frontoparietal and visual networks, suggesting a normalizing effect of stimulants. 14% of stimulant-exposed children demonstrated reliable reduction in ADHD symptoms, and were distinguished by stronger rs-FC reduction between right putamen and visual network. Thus, stimulant exposure for a two-year period under real-world conditions modulated striatal-cortical functional networks broadly, had a normalizing effect on a subset of networks, and was associated with potential therapeutic effects involving visual attentional control.

Effects of urinary organophosphate flame retardants in susceptibility to attention-deficit/hyperactivity disorder in school-age children

Our previous studies have revealed a correlation between urinary phthalates (PAE) metabolites and parabens and PM2.5 exposure and susceptibility to attention-deficit/hyperactivity disorder (ADHD) in school-age children. Our goal was to examine the relationships between urinary organophosphate flame retardants (OPFRs) and their metabolites and the susceptibility to ADHD in the same cohort of children. We recruited 186 school children, including 132 with ADHD and 54 normal controls, living in southern Taiwan to investigate five OPFRs (1,3-dichloro-2-propyl phosphate (TDCPP), tri-n-butyl phosphate (TnBP), tris (2-chloroethyl) phosphate (TCEP), tris(2-butoxyethyl) phosphate (TBEP), and triphenyl phosphate (TPHP)) and five OPFR metabolites (bis(1,3-dichloro-2-propyl) phosphate (BDCPP), di-n-butyl phosphate (DNBP), bis(2-chloroethyl) hydrogen phosphate (BCEP), di-(2-butoxyethyl) phosphate (DBEP), and diphenyl phosphate (DPHP)) in urine. ADHD patients’ behavioral symptoms and neuropsychological function were assessed using the Swanson, Nolan, and Pelham Version IV Scale (SNAP-IV) and the Conners’ Continuous Performance Test 3rd Edition (Conners CPT3), respectively. BCEP was predominant among urinary OPFRs and the metabolites in both the ADHD and control groups. ADHD children had significantly higher levels of urinary BDCPP, BCEP, DBEP, DPHP, TCEP, TBEP, TNBP, TPHP, and Σ10OPFR compared to the controls. After controlling for age, gender, body mass index, PM2.5 exposure scenarios, and urinary phthalate metabolites, parabens, bisphenol-A and creatinine, levels of urinary BDCPP, TDCPP, and TBEP in ADHD children showed significant and dose-dependent effects on core behavioral symptoms of inattention. DNBP levels were positively correlated with neuropsychological deficits (CPT detectability, omission, and commission), while urinary DPHP in ADHD children were negatively related to CPT detectability and commission. Hyperactivity and impulsivity were not correlated with urinary OPFRs and their metabolites in ADHD children. In conclusion, the ADHD symptom of inattention and CPT performance may be closely associated with certain urinary OPFRs and their metabolites, independent of urinary PAE metabolites, parabens, and bisphenol-A in school-age-ADHD children.

Insuficiencia de convergencia y trastorno por déficit de atención e hiperactividad: revisión de literatura

Children are subjected to a high demand for visual tasks from an early age, associated with their school activities, that can cause alterations in the oculomotor system generating symptoms that, sometimes, affect your school performance and emotional state, which leads to a closer study of binocular vision disorders such as convergence insufficiency (CI) and child behavioral disorders, They are characterized by being persistent, repetitive and inappropriate, such as attention deficit hyperactivity disorder (ADHD). The objective of this review was to identify and describe the definition, prevalence, clinical signs, the symptomatology and treatment for convergence insufficiency and how it is associated with attention deficit hyperactivity disorder through a literature review of different databases, and in which articles were identified in which the visual function of children with ADHD diagnosis was intended to be known, the presence of symptoms associated with this disorder in patients diagnosed with insufficient convergence and even clinical trials comparing changes in The results of this study were based on the results of a study conducted by the European Commission in March 1998. The results of this review lead to the conclusion that an association between ADHD and HF in children is evident, but not a causal relationship, studies on representative samples are therefore necessary.

Rhynchophylline Alleviates Hyperactivity and Cognitive Flexibility Impairment Associated With Inhibition of Inflammatory Responses in Mice That Partly Lack the Dopamine Transporter Protein.

Rhynchophylline (RHY) can alleviate some cognitive flexibility impairment and stereotyped behavior for attention-deficit hyperactivity disorder (ADHD) and Tourette syndrome (TS) patients as one of a keyextract and an active ingredient in Ningdong granule (NDG), which is a Traditional Chinese medicine (TCM) preparation widely used in the treatment of ADHD and TS children in China; however, the underlying mechanism is not well understood. Therefore, this study aimed to evaluate how RHY alleviates hyperactivity and cognitive flexibility impairment while inhibiting inflammatory responses in mice that partly lack dopamine transporter protein (DAT- mice). Male DAT- mice were randomly divided into the RHY group (n = 8) and administered RHY (30mg/kg) in the DAT- group (n = 8) and administered saline (i.p., 10mL/kg) in wild-type (WT) mice as the WT control group (n = 8). Hyperactivity and cognitive flexibility impairment were evaluated by the open field test (OFT) and the Morris water maze (MWM) test. The levels of the inflammatory factors of tumor necrosis factor-α (TNF-α) and interleukin-1β (IL-1β) in cortical homogenates were tested by enzyme-linked immunosorbent assays (ELISA) after 8 weeks of treatment with RHY. In vitro, primary microglia and astrocytes extracted from the cortices of DAT- neonatal mice and WT neonatal mice were treated with lipopolysaccharide (LPS) (1mg/mL) to induce neuroinflammatory responses and with RHY (20mM) for 48h. The levels of the inflammatory factors TNF-α, IL-1β, inducible nitric oxide synthase (iNOS), and cyclooxygenase-2 (COX2) in the culture medium were measured at 6h, 24h, and 48h after treatment with LPS and RHY. RHY ameliorated hyperactivity and cognitive flexibility impairment in DAT- mice and inhibited the expression of the inflammatory factors TNF-α, IL-1β, iNOS, and COX-2 in microglia and astrocytes in vitro, and also inhibited the expression of TNF-α and IL-1β in cortical homogenates after 8 weeks of treatment. RHY improved hyperactivity and cognitive flexibility impairment through inhibiting inflammatory responses in DAT- mice.

Persistent organic pollutants and developmental trajectories of ADHD symptoms: The Rhea cohort study

Abstract Background Prenatal exposure to persistent organic pollutants (POPs) has been linked to elevated symptoms related to attention deficit hyperactivity disorder (ADHD) in a few studies, but findings remain inconclusive. We aimed to explore how prenatal exposure to POPs affects the developmental course of ADHD symptoms from early childhood to adolescence in the Rhea cohort in Crete, Greece. Methods We determined concentrations of HCB, DDE, and PCBs in first-trimester maternal serum. Child ADHD symptoms were reported by mothers using the ADHD Test at 4 years and the Conners’ Parent Rating Scale at 6, 11 and 15 years. Group-Based Trajectory Modeling was used to classify 551 participants into 4 distinct groups: Stable low (60.1%), Stable high (9.6%), Low-increasing (14.6%), and High-decreasing (15.7%) symptoms. Adjusted multinomial regression models were applied to assess the risk of being grouped into an adverse developmental trajectory as compared to the reference group (stable low), in relation to prenatal POP exposure in 465 children. The analyses were performed in sex-specific manner. Results Prenatal HCB exposure was associated with elevated risk of being grouped in the stable high ADHD symptoms trajectory only in girls (RRR [95%CI]: 2.0 [1.04, 3.82]). Overall, exposure to DDE and sum of PCBs was linked to decreased risk of membership in an adverse ADHD symptoms trajectory. More specifically, in utero exposure to DDE and sum of PCBs was associated with lower risk of being grouped in the low-increasing trajectory for boys (RRR [95%CI]: 0.7 [0.54, 0.95] and 0.5 [0.32, 0.88], respectively) and in the high-decreasing symptoms group for girls (RRR [95%CI]: 0.6 [0.44, 0.84] and 0.5 [0.30, 0.93], respectively). Conclusions The findings suggest that prenatal exposure to HCB is linked to increased risk of stable high ADHD symptoms from preschool age and up to adolescence. The association was pronounced only in girls, a group for which less is understood in relation to ADHD. Key messages • Prenatal exposure to HCB increases the risk of persistently high ADHD symptoms from preschool age to adolescence. • The impact of prenatal HCB exposure on ADHD symptoms is evident in girls.

A novel approach to ADHD classification based on severity and emotional impairment: Findings from artificial intelligence analysis

Attention Deficit Hyperactivity Disorder (ADHD) is a disorder characterized by symptoms of inattention and executive dysfunction, although there is not always agreement on the onset, course and long-term stability of the diagnosis. This study aims to detect differences in the cognitive profile according to the subtype of ADHD following a professional diagnosis and to propose an alternative classification. The scores obtained for each cognitive construct were compared using the Student’s t-test. In order to explore different diagnostic categories based on groupings made by Artificial Intelligence (AI) subjects were grouped based on their performance through the K-means clustering technique. The results obtained by Artificial Intelligence (AI) identified groups based on the severity of the cognitive profile and the presence of emotional impairment. Difficulties in perceived planning within family and school environments were highlighted as major risk factors in the severity of ADHD in children. Emotional disturbances perceived by both parents, such as depressive symptoms, anxiety, and somatization, were observed subsequently. In accordance with the results, an alternative way to classify ADHD is possible, involving categorization according to the presence or absence of emotional impairment, along with the severity of impairment in attentional and executive functions.

Enhanced ADHD classification through deep learning and dynamic resting state fMRI analysis.

Attention Deficit Hyperactivity Disorder (ADHD) is characterized by deficits in attention, hyperactivity, and/or impulsivity. Resting-state functional connectivity analysis has emerged as a promising approach for ADHD classification using resting-state functional magnetic resonance imaging (rs-fMRI), although with limited accuracy. Recent studies have highlighted dynamic changes in functional connectivity patterns among ADHD children. In this study, we introduce Skip-Vote-Net, a novel deep learning-based network designed for classifying ADHD from typically developing children (TDC) by leveraging dynamic connectivity analysis on rs-fMRI data collected from 222 participants included in the NYU dataset within the ADHD-200 database. Initially, for each subject, functional connectivity matrices were constructed from overlapping segments using Pearson's correlation between mean time series of 116 regions of interest defined by the Automated Anatomical Labeling (AAL) 116 atlas. Skip-Vote-Net was then developed, employing a majority voting mechanism to classify ADHD/TDC children, as well as distinguishing between the two main subtypes: the inattentive subtype (ADHDI) and the predominantly combined subtype (ADHDC). The proposed method was evaluated across four classification scenarios: (1) two-class classification of ADHD from TD children using balanced data, (2) two-class classification between ADHD and TD children using unbalanced data, (3) two-class classification between ADHDI and ADHDC, and (4) three-class classification among ADHDI, ADHDC, and TD children. Using Skip-Vote-Net, we achieved mean classification accuracies of 97% ± 1.87 and 97.7% ± 2.2 for the balanced and unbalanced classification cases, respectively. Furthermore, the mean classification accuracy for discriminating between ADHDI and ADHDC reached 99.4% ± 1.21. Finally, the proposed method demonstrated an average accuracy of 98.86% ± 1.03 in classifying ADHDI, ADHDC, and TD children collectively. Our findings highlight the superior performance of Skip-Vote-Net over existing methods in the classification of ADHD, showcasing its potential as an effective diagnostic tool for identifying ADHD subtypes and distinguishing ADHD from typically developing children.

Association Between Ambient Air Pollution and Attention-Deficit/Hyperactivity Disorder (ADHD) in Children: A Systematic Review and Meta-Analysis.

The objective of this systematic review and meta-analysis was to assess the association between postnatal exposure to ambient air pollutants (particulate matter (PM)2.5, PM10, nitrogen dioxide (NO2)) and the risk of attention-deficit/hyperactivity disorder (ADHD) in children. Observational studies, including cohort, case-control, and cross-sectional designs, that examined the relationship between postnatal exposure to ambient air pollution and ADHD in children were included, while studies focusing on prenatal exposure or unrelated neurodevelopmental outcomes were excluded. A comprehensive search of databases including PubMed, Web of Science, Embase, and Ovid, last updated in May 2024, was conducted. The risk of bias in the selected studies was assessed using the Joanna Briggs Institute (JBI) critical appraisal tools, with discrepancies resolved through discussion among four reviewers. A meta-analysis was performed, synthesizing results using hazard ratios (HR), odds ratios (OR), and risk ratios (RR) as effect sizes. Random effects models were applied in most analyses due to the expected variability between studies, while fixed effects models were employed where only two studies were available. A total of 25 studies were included, with sample sizes ranging from 174 to 35,103 children. The studies were conducted in different countries and varied in their design and pollutant exposure measurement methods. The meta-analysis demonstrated a significant association between PM2.5 exposure and ADHD, with moderate heterogeneity (I² = 74.2%). PM10 exposure was also significantly associated with ADHD, and the heterogeneity was reduced to 34.94% after excluding an influential outlier. NO2 exposure similarly showed a significant association with ADHD, with low heterogeneity (I² = 0%). Due to the limited number of studies per pollutant (ranging from two to six), publication bias was not assessed. Despite the significant findings, there were limitations, including moderate to high heterogeneity among studies and the small number of studies per pollutant, which restricted the ability to assess publication bias and impacted the robustness of the results. Differences in exposure measurement methods and study designs also contributed to variability in the findings. Nonetheless, the evidence suggests that postnatal exposure to ambient air pollutants, particularly PM2.5, PM10, and NO2, is significantly associated with an increased risk of ADHD in children. These results underscore the importance of conducting further large-scale, high-quality studies to explore these associations in greater depth and to elucidate the mechanisms underlying the link between air pollution and ADHD.

Individual child factors affecting the diagnosis of attention deficit hyperactivity disorder (ADHD) in children and adolescents: a systematic review.

Attention deficit hyperactivity disorder (ADHD) is a prevalent condition characterised by patterns of inattention, hyperactivity, and impulsivity. This systematic literature review aims to identify the child clinical and sociodemographic factors related to the detection and diagnosis of ADHD in children and adolescents, given concerns about delays or failures in identifying ADHD as well as over-diagnosis, hindering appropriate and timely support for children and families. Through electronic and manual searches of peer-reviewed and grey literature, 5852 articles were identified and subjected to two stages of screening by independent reviewers. Due to the heterogeneity in study methods, a narrative approach was used to summarise study findings. Forty-one studies meeting eligibility criteria revealed sixteen child-related factors influencing the ADHD diagnostic process. These factors include ADHD subtype, ADHD symptom severity, comorbid mental disorders, behavior problems, internalizing symptoms, functional impairment, social and cognitive functioning, physical health, gender, age, relative age, race/ethnicity, socio-economic status, insurance coverage, residence urbanicity, and family structure. While the impact of many of these factors on ADHD diagnosis was inconsistent due to the substantial diversity in study designs and context, certain patterns emerged. Meeting the criteria for the inattentive subtype, lower functional impairment, female gender, Black or Latinx ethnicity, and being relatively young for their grade were consistently found to be associated with a delayed or absent ADHD diagnosis. Further research is needed to explore the intricate relationships between these child-level variables and their implications for ADHD recognition, referral, and evaluation, especially outside the USA.

Black Mothers of Children With and Without ADHD: Relationships Among Maternal Psychopathology, Parenting Stress, and Parenting Cognitions.

Parents of children with attention-deficit/hyperactivity disorder (ADHD) endorse increased parenting stress and lower levels of parenting efficacy and satisfaction as compared to parents of children without ADHD. Additionally, maternal ADHD and depression differentiate children with and without ADHD, with children with ADHD being more likely to have a mother with psychopathology. With a focus on an understudied population, we investigated the extent to which maternal self-reported ADHD and depression were associated with self-reported parenting stress and parenting cognitions in 70 Black mothers of children with (maternal Mage = 35.52, SD = 6.49) and without ADHD (maternal Mage = 35.39, SD = 6.53) recruited from a metropolitan area in the southeastern United States. Analyses indicated that Black mothers of children with ADHD reported higher levels of parenting stress, lower levels of parenting efficacy, and lower levels of parenting satisfaction. However, there were no significant differences between groups on measures of maternal ADHD or depression. Maternal depression significantly accounted for variability in both parenting satisfaction and parenting stress beyond child ADHD and maternal education. With maternal depression in the models, the association between maternal ADHD and parenting stress and parenting satisfaction lost significance. Given the racial disparities in the treatment of ADHD, future research should focus on investigating the linkages between maternal depression, parenting stress, parenting satisfaction, and parenting behaviors in Black mothers in order to delineate whether there are cultural adaptations that may improve treatment utilization rates for child ADHD within this population.

Does Temperament Constitute a Risk Factor for Adult Attention Deficit Hyperactivity Disorder?

The aim of this study was to examine the temperament characteristics of adults with attention deficit hyperactivity disorder (ADHD) and the relationship between ADHD subtypes and temperament. Additionally, the study aimed to investigate the relationship between childhood ADHD symptoms and temperament. The study included 59 ADHD patients aged between 18 and 60 years and 44 healthy controls. All participants completed the Wender-Utah Rating Scale (WURS) and the Adult Attention Deficit Hyperactivity Disorder Diagnosis and Rating Scale. Temperament characteristics were assessed using the Temperament Evaluation of Memphis, Pisa, Paris, and San Diego-Autoquestionnaire scale (TEMPS-A). The ADHD group had significantly higher scores for cyclothymic, irritable, and anxious temperament compared to the control group (p<0.001). The number of individuals with cyclothymic, irritable, and anxious temperament was also significantly higher in the ADHD group (p=0.007, p=0.018, p=0.029, respectively). Positive correlations were found between cyclothymic and depressive temperament scores and WURS scores (r=0.278, p=0.033; r=0.326, p=0.012, respectively), between hyperthymic temperament scores and hyperactivity scores (r=0.399, p=0.002), and between depressive temperament scores and attention deficit scores (r=0.303, p=0.020). There was no relationship between ADHD subtypes and dominant temperament (p>0.05). The most common dominant temperament in the ADHD group was cyclothymic, irritable, and anxious. The positive correlation between WURS scores and cyclothymic temperament suggests that cyclothymic temperament may be a risk factor for adult ADHD.

Exploring the pathways linking prenatal and early childhood greenness exposure to attention-deficit/hyperactivity disorder symptoms during childhood: An approach based on robust causal inference

BackgroundEpidemiological studies suggest that exposure to greenness during childhood may protect children from developing attention-deficit hyperactivity disorder (ADHD). ObjectiveWe analyzed the effect of both prenatal (pregnancy) and early childhood (4-5-year follow-up) residential greenness exposure and green space availability on ADHD symptoms during childhood (up to the age of 12 years) and further explored the potential mediating role of PM2.5 and physical activity in the association. MethodsThe study population included participants from the INfancia y Medio Ambiente (INMA) prospective birth cohort (Gipuzkoa, Sabadell, and Valencia). Average Normalized Difference Vegetation Index (NDVI) in buffers of 100-, 300- and 500-m around the residential addresses was used as an indicator of greenness, while green space availability was determined based on the presence of a major green space within 150-m from the residence. Childhood ADHD symptoms were assessed at the 6-8- and 10-12-year follow-ups using Conners Parents Rating Scale-Revised: Short Form. ResultsAlthough no association was found for the prenatal exposure period, increased early childhood NDVI inversely associated with the OR of clinically significant ADHD symptoms during the 6-8-year follow-up at the 100-m (OR 0.03, 95% CI: 0.003 to 0.44), 300-m (OR 0.04, 95% CI: 0.003 to 0.42) and 500-m (OR 0.08, 95% CI: 0.01 to 0.76) buffers, but exclusively in the context of direct effects. Additionally, the 10-12-year follow-up analysis found moderate to weak evidence of potential total and direct effects of NDVI at both 100- and 300-m buffers on inattention scores, as well as for NDVI at the 300-m buffer on ADHD index scores. The analysis did not reveal evidence of mediation through PM2.5 or physical activity. ConclusionsThe evidence suggests that early childhood greenness exposure may reduce the risk of developing ADHD symptoms later in childhood, and that this association is not mediated through PM2.5 and physical activity.

How accurate is the QbTest for measuring symptoms of ADHD in children and adults?

This literature review aimed to assess the reliability and validity of the quantified behavioural test (QbTest) to measure the symptoms of attention deficit hyperactivity disorder (ADHD), determining the extent to which results of the selected studies were accurate and generalisable. A literature review was undertaken, with each paper appraised using the Critical Appraisal Skills Programme randomised controlled trial checklist. Thematic analysis was also implemented to identify key themes and relationships between data sets. Three papers concluded that the QbTest increases clinical efficiency without compromising diagnostic accuracy, while others identified limitations relating to its ability to identify symptoms of impulsivity correctly. Additional issues were identified relating to external validity, generalisability and the extent to which the QbTest could differentiate ADHD from other conditions. It is concluded that the QbTest is an unreliable means of assessing ADHD in both children and adults, particularly when used as a stand-alone assessment tool. Thematic analysis highlighted concerns around diagnostic accuracy and the QbTest's inability to differentiate symptoms of ADHD from other conditions – fundamental flaws affecting the overarching fidelity of QbTesting.

Default at fault? Exploring neural correlates of default mode network in children with ADHD, their unaffected siblings versus neurotypical controls: A quantitative EEG study

BackgroundSustained activation of default mode network has been implicated for momentary lapses of attention and higher errors during performance of cognitive tasks in attention deficit hyperactive disorder (ADHD) children. Despite emerging evidence indicating the genetic basis of ADHD, there is paucity of literature investigating the alteration of DMN in children with ADHD and their unaffected siblings. AimTo study the cortical sources of DMN in children with ADHD compared to their siblings and neurotypical controls. MethodsEighty-six participants (35 ADHD (12.4(±2.7) years), 16 unaffected siblings (11.8(±4.3) years) and 35 matched neurotypical controls (12.6 (±3.6) years) participated in the study. 128 channel EEG data was acquired during rest and Stroop cognitive task and analyzed for cortical source estimation using LORETA software. ResultsHigher activation of DMN and DMN associated areas were observed during encoding of the color-word stimuli in children with ADHD. Sustained activation of core DMN areas namely medial frontal gyrus, posterior cingulate gyrus, parahippocampal gyrus and inferior parietal lobule was observed across all groups. Among the three groups, distinct cortical source activation differences were identified solely in the DMN and its associated areas among children with ADHD during the task encoding phase compared to baseline. In contrast, both siblings and neurotypical controls displayed activation in fronto-parieto-temporal areas subserving executive function were also observed. ConclusionSustained activity of DMN areas with minimal activity in executive network in ADHD children and unaffected siblings during encoding of stimulus implies potential endophenotypic marker in children with ADHD compared to neurotypical controls.