Attention Deficit Hyperactivity Disorder (ADHD)

2021 ◽  
pp. 324-351
Author(s):  
Shailaja Pokhriyal
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Support System ◽  
Attention Deficit ◽  
Assessment Tools ◽  
Comorbid Conditions ◽  
Hyperactivity Disorder ◽  
Insight Into

The chapter introduces attention deficit hyperactivity disorder (ADHD) and provides an insight into the condition, its causes, treatment, and rehabilitation. The chapter aims to briefly cover the major aspects of the condition. It touches on the role of assessment tools and protocols followed to diagnose and treat ADHD. The content will cover causes of ADHD, reported from research done so far, and changes in the displayed symptoms as a child grows into an adult. Additionally, comorbid conditions which occur along with ADHD are introduced, including the variations among children and adults. Finally, the role of technology in treatments, assessments, and as a support system are presented. The chapter is not an exhaustive guide but a primer to the condition.

scholarly journals Diagnostic Support System for the Detection of Attention Deficit Hyperactivity Disorder Using EOG Signals

2021 ◽  
Author(s):  
Esra Demirci ◽  
Mustafa Yasin Esas ◽  
Çiğdem Gülüzar Altıntop ◽  
Neslihan Taştepe ◽  
Fatma Latifoğlu
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Support System ◽  
Attention Deficit ◽  
Diagnostic Methods ◽  
Healthy Individuals ◽  
Subjective Effect ◽  
Hyperactivity Disorder ◽  
Diagnostic Support

Abstract Although Attention Deficit Hyperactivity Disorder (ADHD) is a common childhood disease, objective diagnostic methods are insufficient still. Current diagnostic methods include the subjective influence of the evaluator. In this context, in our study, we aimed to minimize the subjective effect of the evaluator with the objective diagnosis support system for ADHD.In our study, a visual stimulus follow-up test developed by us was applied to the patient with ADHD and healthy individuals, and electrooculogram (EOG) signals were recorded simultaneously. With the features extracted from EOG signals, Artificial Neural Networks (ANN) were used for the classification study of patients and healthy individuals, and it was determined that the classification of ADHD and healthy group could be distinguished by 81.76% performance. Thus, the outcomes that will contribute to the objective diagnosis of ADHD have been presented. The results are remarkable and important findings have been obtained that will contribute to the literature.

Current Approaches to Management of Attention Deficit Hyperactivity Disorder

1996 ◽  
Vol 13 (1) ◽  
pp. 46-55 ◽  
Author(s):  
Frederick C. Jarman
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Attention Deficit ◽  
Stimulant Medication ◽  
Scientific Evidence ◽  
Behaviour Modification ◽  
Hyperactivity Disorder ◽  
School Based ◽  
Long Term Prognosis

AbstractThe last five years in Australia have been marked by an explosion in the diagnosis and treatment of Attention Deficit Hyperactivity Disorder (ADHD). The use of stimulant medication for ADHD has increased exponentially across all states, raising questions about the appropriate role of drug treatment and its relationship to other therapies in these children. Despite widespread consensus that multimodal therapy is the preferred option for intervention, many treatments advocated for ADHD lack scientific evidence to support their use. Because no two children with ADHD or their families are the same, an individualised approach to management is advocated that targets both the primary symptoms of the disorder, its cornorbid pathology, and the secondary problems that have developed. Evidence indicates that stimulant medication used in conjunction with parent training, family support, and school based behaviour modification offers the best prospects for improving the disturbing long-term prognosis in these children.

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.

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