Quantifying the Relationship between Attention-Deficit/Hyperactivity Disorder and Experiences of Child Maltreatment: A Meta-Analysis

2018 ◽  
Vol 27 (5) ◽  
pp. 361-377 ◽  
Author(s):  
Kylee Clayton ◽  
Janelle Boram Lee ◽  
Kristene Cheung ◽  
Jennifer Theule ◽  
Brenna Henrikson
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Child Maltreatment ◽  
Attention Deficit ◽  
Meta Analysis ◽  
Hyperactivity Disorder ◽  
The Relationship

scholarly journals Disentangling ADHD's Presentation-Related Decision-Making—A Meta-Analytic Approach on Predominant Presentations

2021 ◽  
Vol 12 ◽  
Author(s):  
Marcel Schulze ◽  
David Coghill ◽  
Silke Lux ◽  
Alexandra Philipsen
Keyword(s):  
Decision Making ◽  
Attention Deficit Hyperactivity Disorder ◽  
Reinforcement Learning ◽  
Risk Taking ◽  
Attention Deficit ◽  
Meta Analysis ◽  
Analytic Approach ◽  
Effect Sizes ◽  
Hyperactivity Disorder ◽  
The Relationship

Background: Deficient decision-making (DM) in attention deficit/hyperactivity disorder (ADHD) is marked by altered reward sensitivity, higher risk taking, and aberrant reinforcement learning. Previous meta-analysis aggregate findings for the ADHD combined presentation (ADHD-C) mostly, while the ADHD predominantly inattentive presentation (ADHD-I) and the predominantly hyperactive/impulsive presentation (ADHD-H) were not disentangled. The objectives of the current meta-analysis were to aggregate findings from DM for each presentation separately.Methods: A comprehensive literature search of the PubMed (Medline) and Web of Science Database took place using the keywords “ADHD,” “attention-deficit/hyperactivity disorder,” “decision-making,” “risk-taking,” “reinforcement learning,” and “risky.” Random-effects models based on correlational effect-sizes were conducted. Heterogeneity analysis and sensitivity/outlier analysis were performed, and publication biases were assessed with funnel-plots and the egger intercept.Results: Of 1,240 candidate articles, seven fulfilled criteria for analysis of ADHD-C (N = 193), seven for ADHD-I (N = 256), and eight for ADHD-H (N = 231). Moderate effect-size were found for ADHD-C (r = 0.34; p = 0.0001; 95% CI = [0.19, 0.49]). Small effect-sizes were found for ADHD-I (r = 0.09; p = 0.0001; 95% CI = [0.008, 0.25]) and for ADHD-H (r = 0.1; p = 0.0001; 95% CI = [−0.012, 0.32]). Heterogeneity was moderate for ADHD-H. Sensitivity analyses show robustness of the analysis, and no outliers were detected. No publication bias was evident.Conclusion: This is the first study that uses a meta-analytic approach to investigate the relationship between the different presentations of ADHD separately. These findings provide first evidence of lesser pronounced impairment in DM for ADHD-I and ADHD-I compared to ADHD-C. While the exact factors remain elusive, the current study can be considered as a starting point to reveal the relationship of ADHD presentations and DM more detailed.

scholarly journals Overall Media Use and ADHD-Related Behaviors Among Children in China: A Meta-Analysis

2021 ◽  
Vol 5 (12) ◽  
pp. 176-182
Author(s):  
Bin Li ◽  
Junwei Li ◽  
Yuping Li
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Children And Adolescents ◽  
Attention Deficit ◽  
Significant Relationship ◽  
Media Use ◽  
Meta Analysis ◽  
Empirical Studies ◽  
Attention Problems ◽  
Hyperactivity Disorder ◽  
The Relationship

There are several theoretical reasons to believe that overall media use might be related to attention deficit hyperactivity disorder (ADHD) or ADHD-related behaviors (i.e., attention problems, hyperactivity, and impulsivity). Although studies on media-ADHD relationship have accumulated, they have yielded inconsistent results, especially those from different countries. Therefore, it is still undisclosed whether children’s overall media use and ADHD-related behaviors are related to region and culture. A meta-analysis has been performed on three empirical studies investigating the relationship between overall media use and ADHD-related behaviors in children and adolescents from China. The results indicated significant relationship between overall media use and ADHD-related behaviors, OR = 2.597.

Physical Fitness and Resting EEG in Children With Attention Deficit Hyperactivity Disorder

2015 ◽  
Vol 29 (1) ◽  
pp. 26-32 ◽  
Author(s):  
Ching-Wen Huang ◽  
Chung-Ju Huang ◽  
Chiao-Ling Hung ◽  
Chia-Hao Shih ◽  
Tsung-Min Hung
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Physical Fitness ◽  
Attention Deficit ◽  
Resting State ◽  
Self Control ◽  
Children With Adhd ◽  
Hyperactivity Disorder ◽  
Higher Power ◽  
Eyes Open ◽  
The Relationship

Children with attention deficit hyperactivity disorder (ADHD) are characterized by a deviant pattern of brain oscillations during resting state, particularly elevated theta power and increased theta/alpha and theta/beta ratios that are related to cognitive functioning. Physical fitness has been found beneficial to cognitive performance in a wide age population. The purpose of the present study was to investigate the relationship between physical fitness and resting-state electroencephalographic (EEG) oscillations in children with ADHD. EEG was recorded during eyes-open resting for 28 children (23 boys and 5 girls, 8.66 ± 1.10 years) with ADHD, and a battery of physical fitness assessments including flexibility, muscular endurance, power, and agility tests were administered. The results indicated that ADHD children with higher power fitness exhibited a smaller theta/alpha ratio than those with lower power fitness. These findings suggest that power fitness may be associated with improved attentional self-control in children with ADHD.

A meta-analysis of malingering detection measures for attention-deficit/hyperactivity disorder.

2019 ◽  
Vol 31 (2) ◽  
pp. 265-270 ◽  
Author(s):  
Elizabeth R. Wallace ◽  
Natasha E. Garcia-Willingham ◽  
Brittany D. Walls ◽  
Chelsea M. Bosch ◽  
Kullen C. Balthrop ◽  
...  
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Attention Deficit ◽  
Meta Analysis ◽  
Hyperactivity Disorder ◽  
Malingering Detection
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