scholarly journals Predicting the number of article citations in the field of attention-deficit/hyperactivity disorder (ADHD) with the 100 top-cited articles since 2014: a bibliometric analysis

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Chien-Ho Lin ◽  
Tsair-Wei Chien ◽  
Yu-Hua Yan
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Bibliometric Analysis ◽  
Attention Deficit ◽  
Neurodevelopmental Disorder ◽  
The United States ◽  
Child And Adolescent Psychiatry ◽  
Academic Disciplines ◽  
Medical Subject Headings ◽  
Hyperactivity Disorder ◽  
Mesh Terms

Abstract Background Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder in children or early adolescents with an estimated worldwide prevalence of 7.2%. Numerous articles related to ADHD have been published in the literature. However, which articles had ultimate influence is still unknown, and what factors affect the number of article citations remains unclear as well. This bibliometric analysis (1) visualizes the prominent entities with 1 picture using the top 100 most-cited articles, and (2) investigates whether medical subject headings (i.e., MeSH terms) can be used in predicting article citations. Methods By searching the PubMed Central® (PMC) database, the top 100 most-cited abstracts relevant to ADHD since 2014 were downloaded. Citation rank analysis was performed to compare the dominant roles of article types and topic categories using the pyramid plot. Social network analysis (SNA) was performed to highlight prominent entities for providing a quick look at the study result. The authors examined the MeSH prediction effect on article citations using its correlation coefficients (CC). Results The most frequent article types and topic categories were research support by institutes (56%) and epidemiology (28%). The most productive countries were the United States (42%), followed by the United Kingdom (13%), Germany (9%), and the Netherlands (9%). Most articles were published in the Journal of the American Academy of Child and Adolescent Psychiatry (15%) and JAMA Psychiatry (9%). MeSH terms were evident in prediction power on the number of article citations (correlation coefficient = 0.39; t = 4.1; n = 94; 6 articles were excluded because they do not have MeSH terms). Conclusions The breakthrough was made by developing 1 dashboard to display 100 top-cited articles on ADHD. MeSH terms can be used in predicting article citations on ADHD. These visualizations of the top 100 most-cited articles could be applied to future academic pursuits and other academic disciplines.

scholarly journals A Cross-Sectional Study of 0.6 Million Children with Attention-Deficit/Hyperactivity Disorder in the United States

2020 ◽  
Vol 10 (01) ◽  
pp. e97-e103
Author(s):  
Irene Rethemiotaki
Keyword(s):  
United States ◽  
Attention Deficit Hyperactivity Disorder ◽  
Attention Deficit ◽  
Family Income ◽  
Neurodevelopmental Disorder ◽  
Multiple Logistic Regression Analysis ◽  
The United States ◽  
Cross Sectional ◽  
Children With Adhd ◽  
Hyperactivity Disorder

AbstractAttention-deficit hyperactivity disorder (ADHD) is an increasingly recognized chronic neurodevelopmental disorder. This work aims at studying the prevalence and clinical characteristics of children with ADHD in the United States in the period between 2009 and 2018. Data from the National Health Interview Survey were analyzed by univariate and multivariate statistics to assess the role of socioeconomic factors in the development of ADHD. It has been studied 615,608 children, 51.2% male and 48.7% female. The prevalence of ADHD was 9.13%, with males predominating over females. The number of children with ADHD increased from 2009 to 2018 by 14.8%. As specified by multiple logistic regression analysis, males (odds ratio [OR] 2.38) who have neither mother nor father (OR 1.76) are twice as likely to have ADHD compared with their peers. In addition, family income (OR 1.40) and parent's education (OR 1.12) were significantly associated with ADHD. It has been highlighted the significance of deprivation of both family and financial comfort as primary indicators for ADHD in children. Moreover, children with ADHD were more likely to be males in the age group of 12 to 17.

Stimulant Medication Use by Primary Care Physicians in the Treatment of Attention Deficit Hyperactivity Disorder

PEDIATRICS ◽  
1990 ◽  
Vol 86 (1) ◽  
pp. 95-101
Author(s):  
Mark L. Wolraich ◽  
Scott Lindgren ◽  
Ann Stromquist ◽  
Richard Milich ◽  
Charles Davis ◽  
...  
Keyword(s):  
Primary Care ◽  
Attention Deficit Hyperactivity Disorder ◽  
Attention Deficit ◽  
Primary Care Physicians ◽  
Stimulant Medication ◽  
Medication Use ◽  
The United States ◽  
Hyperactivity Disorder ◽  
Family Practitioners ◽  
Behavioral Treatments

Treatment of attention deficit hyperactivity disorder (ADHD), one of the most common behavioral disorders in children in the United States, remains controversial because of concern about stimulant medication use. Extending a previous study of pediatricians, the present study surveyed a random national sample of family practitioners and then directly screened 457 patients of 10 pediatricians and family practitioners in two small midwestern cities. Responses to the national survey indicated that stimulant medication remains the main treatment prescribed by primary care physicians for children with ADHD. In the direct patient screening, the prevalence of ADHD diagnoses was 5.3% (pediatricians) and 4.2% (family practitioners) of all elementary-schoolaged children screened. Eighty-eight percent of these children were treated with methyiphenidate. Although medication was considered an effective treatment by the parents of 85% of the children given the medication, efficacy was unrelated to the accuracy of diagnosis. When explicit DSM-III-R criteria were used, only 72% of those assigned a diagnosis of ADHD by the physicians would have received that diagnosis based on a structured psychiatric interview with the parents and only 53% received that diagnosis based on teacher report of symptoms, even when the child was not receiving medication. Although the majority of physicians (in both the surveys and the direct screenings) reported using at least some behavioral treatments with their patients, parents reported infrequent use of nonpharmacologic forms of therapy, such as behavior modification. These data thus indicate a relatively modest rate of stimulant medication use for ADHD, but a serious underuse of systematic behavioral treatments in primary care.

scholarly journals Shared genetic background between children and adults with attention deficit/hyperactivity disorder

2019 ◽  
Author(s):  
Paula Rovira ◽  
Ditte Demontis ◽  
Cristina Sánchez-Mora ◽  
Tetyana Zayats ◽  
Marieke Klein ◽  
...  
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Attention Deficit ◽  
Genetic Variants ◽  
Genetic Background ◽  
Genetic Architecture ◽  
Neurodevelopmental Disorder ◽  
Genome Wide Association Studies ◽  
Hyperactivity Disorder ◽  
Common Genetic Variants ◽  
Shared Genetic

AbstractAttention deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder characterized by age-inappropriate symptoms of inattention, impulsivity and hyperactivity that persist into adulthood in the majority of the diagnosed children. Despite several risk factors during childhood predicting the persistence of ADHD symptoms into adulthood, the genetic architecture underlying the trajectory of ADHD over time is still unclear. We set out to study the contribution of common genetic variants to the risk for ADHD across the lifespan by conducting meta-analyses of genome-wide association studies on persistent ADHD in adults and ADHD in childhood separately and comparing the genetic background between them in a total sample of 17,149 cases and 32,411 controls. Our results show nine new independent loci and support a shared contribution of common genetic variants to ADHD in children and adults. No subgroup heterogeneity was observed among children, while this group consists of future remitting and persistent individuals. We report similar patterns of genetic correlation of ADHD with other ADHD-related datasets and different traits and disorders among adults, children and when combining both groups. These findings confirm that persistent ADHD in adults is a neurodevelopmental disorder and extend the existing hypothesis of a shared genetic architecture underlying ADHD and different traits to a lifespan perspective.

scholarly journals Attention-deficit/hyperactivity disorder and risk for psychiatric and neurodevelopmental disorders in siblings

2018 ◽  
Vol 49 (1) ◽  
pp. 84-91 ◽  
Author(s):  
Elina Jokiranta-Olkoniemi ◽  
Keely Cheslack-Postava ◽  
Petteri Joelsson ◽  
Auli Suominen ◽  
Alan S. Brown ◽  
...  
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Attention Deficit ◽  
Neurodevelopmental Disorders ◽  
Neurodevelopmental Disorder ◽  
Population Based ◽  
Autism Spectrum ◽  
Schizophrenia Spectrum Disorders ◽  
Hyperactivity Disorder ◽  
Increased Risk ◽  
Spectrum Disorders

AbstractBackgroundProbands with attention-deficit/hyperactivity disorder (ADHD) are at increased risk for several psychiatric and neurodevelopmental disorders. The risk of these disorders among the siblings of probands has not been thoroughly assessed in a population-based cohort.MethodsEvery child born in Finland in 1991–2005 and diagnosed with ADHD in 1995–2011 were identified from national registers. Each case was matched with four controls on sex, place, and date of birth. The full siblings of the cases and controls were born in 1981–2007 and diagnosed in 1981–2013. In total, 7369 cases with 12 565 siblings and 23 181 controls with 42 753 siblings were included in the analyses conducted using generalized estimating equations.Results44.2% of the cases and 22.2% of the controls had at least one sibling diagnosed with any psychiatric or neurodevelopmental disorder (risk ratio, RR = 2.1; 95% CI 2.0–2.2). The strongest associations were demonstrated for childhood-onset disorders including ADHD (RR = 5.7; 95% CI 5.1–6.3), conduct and oppositional disorders (RR = 4.0; 95% CI 3.5–4.5), autism spectrum disorders (RR = 3.9; 95% CI 3.3–4.6), other emotional and social interaction disorders (RR = 2.7; 95% CI 2.4–3.1), learning and coordination disorders (RR = 2.6; 95% CI 2.4–2.8), and intellectual disability (RR = 2.4; 95% CI 2.0–2.8). Also, bipolar disorder, unipolar mood disorders, schizophrenia spectrum disorders, other neurotic and personality disorders, substance abuse disorders, and anxiety disorders occurred at increased frequency among the siblings of cases.ConclusionsThe results offer potential utility for early identification of neurodevelopmental and psychiatric disorders in at-risk siblings of ADHD probands and also argue for more studies on common etiologies.

Pre-, Peri-, and Post-Natal Risk Factors in ADHD

2021 ◽  
pp. 43-54
Author(s):  
Pangajam Ponnuswamy ◽  
Ann Sarah Paul ◽  
Aneesha Brigitte Jose
Keyword(s):  
Risk Factors ◽  
Attention Deficit Hyperactivity Disorder ◽  
Postnatal Development ◽  
Environmental Risk ◽  
Attention Deficit ◽  
Critical Period ◽  
Neurodevelopmental Disorder ◽  
Therapeutic Interventions ◽  
Hyperactivity Disorder ◽  
Core Symptoms

Attention deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder most commonly found in childhood with its core symptoms manifesting as inattention, impulsiveness, and hyperactivity. As ADHD generates a substantial rate of burden to the society in terms of economic and medical resources used, priority is given to explore the risk factors that contributes towards the multifactorial origin of this disorder to offer possible preventive and therapeutic interventions. With heritability accounting for 75% to 80% of the variability seen in ADHD, the remaining are explained through environmental risk factors that are exposed during critical period of pre-, peri-, and postnatal development. Though literature on the risk factors have been mostly controversial, certain associations have been made with regards to ADHD pathophysiology.

scholarly journals A hybrid AI approach for supporting clinical diagnosis of attention deficit hyperactivity disorder (ADHD) in adults

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Ilias Tachmazidis ◽  
Tianhua Chen ◽  
Marios Adamou ◽  
Grigoris Antoniou
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Health Systems ◽  
Clinical Diagnosis ◽  
Attention Deficit ◽  
Neurodevelopmental Disorder ◽  
Hybrid Approach ◽  
Public Health Issue ◽  
Hyperactivity Disorder ◽  
The Past ◽  
Increased Risk

AbstractAttention deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder that includes symptoms such as inattentiveness, hyperactivity and impulsiveness. It is considered as an important public health issue and prevalence of, as well as demand for diagnosis, has increased as awareness of the disease grew over the past years. Supply of specialist medical experts has not kept pace with the increasing demand for assessment, both due to financial pressures on health systems and the difficulty to train new experts, resulting in growing waiting lists. Patients are not being treated quickly enough causing problems in other areas of health systems (e.g. increased GP visits, increased risk of self-harm and accidents) and more broadly (e.g. time off work, relationship problems). Advances in AI make it possible to support the clinical diagnosis of ADHD based on the analysis of relevant data. This paper reports on findings related to the mental health services of a specialist Trust within the UK’s National Health Service (NHS). The analysis studied data of adult patients who underwent diagnosis over the past few years, and developed a hybrid approach, consisting of two different models: a machine learning model obtained by training on data of past cases; and a knowledge model capturing the expertise of medical experts through knowledge engineering. The resulting algorithm has an accuracy of 95% on data currently available, and is currently being tested in a clinical environment.

scholarly journals Attention-deficit hyperactivity disorder shares copy number variant risk with schizophrenia and autism spectrum disorder

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Olafur O. Gudmundsson ◽  
G. Bragi Walters ◽  
Andres Ingason ◽  
Stefan Johansson ◽  
Tetyana Zayats ◽  
...  
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Attention Deficit ◽  
Neurodevelopmental Disorders ◽  
Copy Number ◽  
Neurodevelopmental Disorder ◽  
Copy Number Variant ◽  
Pleiotropic Effect ◽  
Autism Spectrum ◽  
Copy Number Variations ◽  
Hyperactivity Disorder

Abstract Attention-deficit/hyperactivity disorder (ADHD) is a highly heritable common childhood-onset neurodevelopmental disorder. Some rare copy number variations (CNVs) affect multiple neurodevelopmental disorders such as intellectual disability, autism spectrum disorders (ASD), schizophrenia and ADHD. The aim of this study is to determine to what extent ADHD shares high risk CNV alleles with schizophrenia and ASD. We compiled 19 neuropsychiatric CNVs and test 14, with sufficient power, for association with ADHD in Icelandic and Norwegian samples. Eight associate with ADHD; deletions at 2p16.3 (NRXN1), 15q11.2, 15q13.3 (BP4 & BP4.5–BP5) and 22q11.21, and duplications at 1q21.1 distal, 16p11.2 proximal, 16p13.11 and 22q11.21. Six of the CNVs have not been associated with ADHD before. As a group, the 19 CNVs associate with ADHD (OR = 2.43, P = 1.6 × 10−21), even when comorbid ASD and schizophrenia are excluded from the sample. These results highlight the pleiotropic effect of the neuropsychiatric CNVs and add evidence for ADHD, ASD and schizophrenia being related neurodevelopmental disorders rather than distinct entities.

Brain development in attention deficit hyperactivity disorder: A neuroimaging perspective review

2016 ◽  
Vol 33 (S1) ◽  
pp. S357-S357 ◽  
Author(s):  
V. Pereira ◽  
P. de Castro-Manglano ◽  
C. Soutullo Esperon
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Functional Connectivity ◽  
Brain Development ◽  
Attention Deficit ◽  
Default Mode Network ◽  
Brain Connectivity ◽  
Child And Adolescent Psychiatry ◽  
Global Perspective ◽  
Default Mode ◽  
Hyperactivity Disorder

IntroductionAttention deficit hyperactivity disorder (ADHD) is a challenge in child and adolescent psychiatry. In the recent decades many studies with longitudinal designs have used neuroimaging with ADHD patients, suggesting its neurodevelopmental origin.ObjectivesStudy the findings of neuroimaging (MRI, fMRI, DTI, PET) techniques on ADHD patients from a longitudinal point of view, looking also for the potential influence of treatments and other predictors (i.e. genetics).AimsTo provide a global perspective of all the recent findings on ADHD patients with the neuroimaging technics, focusing on longitudinal measurements of the changes in brain development.MethodsWe conducted a review of the literature in the databases Pubmed and ScienceDirect (terms ADHD, neuroimaging, MRI, fMRI, DTI, PET, functional connectivity, metilphenidate and cortical thickness). We focused on studies using neuroimaging techniques with ADHD patients, looking at their populations, methodologies and results.ResultsThe studies found abnormalities in the structure of grey matter, activity and brain connectivity in many neural networks, with particular involvement of the fronto-parietal and Default Mode Network. There is also convergent evidence for white matter pathology and disrupted anatomical connectivity in ADHD. In addition, dysfunctional connectivity during rest and during cognitive tasks has been demonstrated.ConclusionsThis evidence describe ADHD as a brain development disorder, with delays and disruptions in the global development of the central nervous system that compromises grey and white matters, most evident in the prefrontal cortex, parietal and posterior cingulate cortices, as well as basal ganglia, damaging activity and structural and functional connectivity of various brain networks, especially the fronto-striato-parietal and default mode network.Disclosure of interestThe authors have not supplied their declaration of competing interest.

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