scholarly journals ADHD in Athletes

2020 ◽  
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
General Population ◽  
Attention Deficit ◽  
Population Studies ◽  
Neurodevelopmental Disorder ◽  
Well Being ◽  
Young Athletes ◽  
Hyperactivity Disorder ◽  
Sporting Activity

Attention Deficit Hyperactivity Disorder (ADHD) is a common neurodevelopmental disorder which is characterized by symptoms of inattention, hyperactivity, and impulsivity. The estimated prevalence of ADHD in the general population is 7,2% in children, with persistence into adulthood of approximately 35%. [1,2] Although there is a lack of population studies, the postulated prevalence of ADHD in young athletes ranges from 4,2 to 8,1%, suggesting ADHD could be more common in athletes compared to the general population. [3] The reasons for a presumably higher prevalence of ADHD among athletes could be, among other things, that the influence of the sporting activity leads to better well-being of the potential patients and therefore becomes a central part of their lifestyle.

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.

Treatment of attention deficit/hyperactivity disorder in children with CHD

2021 ◽  
pp. 1-4
Author(s):  
Alyson R. Pierick ◽  
Melodie Lynn ◽  
Courtney M. McCracken ◽  
Matthew E. Oster ◽  
Glen J. Iannucci
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
General Population ◽  
Adverse Events ◽  
Supraventricular Tachycardia ◽  
Medical Therapy ◽  
Attention Deficit ◽  
Case Reports ◽  
Single Centre ◽  
Hyperactivity Disorder ◽  
Increased Risk

Abstract Introduction: The prevalence of attention deficit/hyperactivity disorder in the general population is common and is now diagnosed in 4%–12% of children. Children with CHD have been shown to be at increased risk for attention deficit/hyperactivity disorder. Case reports have led to concern regarding the use of attention deficit/hyperactivity disorder medications in children with underlying CHD. We hypothesised that medical therapy for patients with CHD and attention deficit/hyperactivity disorder is safe. Methods: A single-centre, retrospective chart review was performed evaluating for adverse events in patients aged 4–21 years with CHD who received attention deficit/hyperactivity disorder therapy over a 5-year span. Inclusion criteria were a diagnosis of CHD and concomitant medical therapy with amphetamines, methylphenidate, or atomoxetine. Patients with trivial or spontaneously resolved CHD were excluded from analysis. Results: In 831 patients with CHD who received stimulants with a mean age of 12.9 years, there was only one adverse cardiovascular event identified. Using sensitivity analysis, our median follow-up time was 686 days and a prevalence rate of 0.21% of adverse events. This episode consisted of increased frequency of supraventricular tachycardia in a patient who had this condition prior to initiation of medical therapy; the condition improved with discontinuation of attention deficit/hyperactivity disorder therapy. Conclusion: The incidence of significant adverse cardiovascular events in our population was similar to the prevalence of supraventricular tachycardia in the general population. Our single-centre experience demonstrated no increased risk in adverse events related to medical therapy for children with attention deficit/hyperactivity disorder and underlying CHD. Further population-based studies are indicated to validate these findings.

scholarly journals Validation of Attention Deficit Hyperactivity Disorder Diagnostic Scale for Children

2018 ◽  
Vol 16 (3) ◽  
pp. 264-268
Author(s):  
Narmada Devkota ◽  
Shishir Subba ◽  
Janardan Devkota ◽  
Jaya Regmee ◽  
Deepika Pokhrel
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
General Population ◽  
Attention Deficit ◽  
Convergent Validity ◽  
Discriminant Validity ◽  
Psychometric Validation ◽  
Pilot Studies ◽  
Scale Evaluation ◽  
Hyperactivity Disorder ◽  
Comparison Groups

Background: There is no valid Attention Deficit Hyperactivity Disorder diagnostic tool to fit Nepalese culture and language till date. Current study is intended to develop and validate the Attention Deficit Hyperactivity Disorder scale for children in Nepal.Methods: Mixed method study was conducted with 840 samples (i.e. children with Attention Deficit Hyperactivity Disorder =356, Anxiety =128 and General Population=356).Items generation, scale development and scale evaluation were the three consecutive steps followed to develop and validate the scale.Children with Attention Deficit Hyperactivity Disorder (already met the Diagnostic and statistical Manual-5 criteria) were further assessed by Kiddie-Schedule for Affective disorders and Schizophrenia (K-SADS-PL), Child and Adolescent Symptoms Inventory (CASI-5) to confirm the diagnosis and psychometric validation. Pilot studies were done for items clarity. Each data obtained from three comparison groups (Attention Deficit Hyperactivity Disorder , Anxiety and General Population) were included for standardization process where tests of dimensionality, reliability, validity,calculating norms (cut off) were doneas scale evaluation process.Results: The final version of the scale had 21 items. Three sub-scales (Inattention, Impulsivity and Hyperactivity) were identified by using Principal Axis Factor Analysis.All factors showed strong statistically significant convergent validity and Discriminant validity Cronbach’s alpha of each item is ? 0.91.As total score criteria, 38.5 is considered as the best cut-off point for this scale.Conclusions: By using systematic process, a valid and reliable Attention Deficit Hyperactivity Disorder diagnostic scale is being developed in Nepalese culture and language.Keywords: ADHD; development and validation; executive function.

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.

Positive Mental Health in Youth with ADHD: Exploring the Role of Social Support

2021 ◽  
pp. 1-17
Author(s):  
Laura Harris-Lane ◽  
Jacqueline Hesson ◽  
Ken Fowler ◽  
Nicholas Harris
Keyword(s):  
Mental Health ◽  
Social Support ◽  
Attention Deficit Hyperactivity Disorder ◽  
Attention Deficit ◽  
Well Being ◽  
Positive Mental Health ◽  
Hyperactivity Disorder ◽  
Different Types ◽  
Youth With Adhd

Positive mental health in youth has important implications for overall well-being. This study examined the extent to which different types of social support are associated with positive mental health among individuals, ages 15–24, diagnosed with attention deficit/hyperactivity disorder (ADHD). Compared to respondents without a diagnosis of ADHD, those with a diagnosis had significantly lower scores on measures of positive mental health and on four of five types of social support. Among the five types of social support, social integration and reassurance of worth were found to be significant predictors of positive mental health in respondents diagnosed with ADHD.

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.

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