Stimulants Appear to Decrease Anxiety in Youth With ADHD

2011 ◽  
Vol 45 (6) ◽  
pp. 4
Author(s):  
BRUCE JANCIN
Keyword(s):  
2021 ◽  
Vol 7 ◽  
pp. 205520762110012
Author(s):  
John E Leikauf ◽  
Carlos Correa ◽  
Andrew N Bueno ◽  
Vicente Peris Sempere ◽  
Leanne M Williams

Introduction To address the need for non-pharmacologic, scalable approaches for managing attention-deficit and hyperactivity disorder (ADHD) in young people, we report the results of a study of an application developed for a wearable device (Apple Watch) that was designed to track movement and provide visual and haptic feedback for ADHD. Methods Six-week, open label pilot study with structured rating scales ADHD and semi-structured qualitative interview. Apple Watch software application given to users that uses actigraphy and graphic interface as well as haptic feedback to provide feedback to users about level of movement during periods of intentional focus. Linear mixed models to estimate trajectories. Results Thirty-two participants entered the study. This application was associated with improvement in ADHD symptoms over the 6 weeks of the study. We observed an ADHD-Rating Scale change of β = −1.2 units/week (95% CI = −0.56 to −1.88, F = 13.4, P = .0004). Conclusions These positive clinical outcomes highlight the promise of such wearable applications for ADHD and the need to pursue their further development.


2014 ◽  
Vol 23 (4) ◽  
pp. 757-773 ◽  
Author(s):  
Gregory A. Fabiano ◽  
Nicole K. Schatz ◽  
William E. Pelham

2021 ◽  
pp. 108705472110636
Author(s):  
Eliana Rosenthal ◽  
Sara Franklin-Gillette ◽  
Hi Jae Jung ◽  
Amanda Nelson ◽  
Steven W. Evans ◽  
...  

We examined COVID-19 symptoms and infection rates, disruptions to functioning, and moderators of pandemic response for 620 youth with ADHD and 614 individually matched controls (70% male; Mage = 12.4) participating in the Adolescent Brain and Cognitive Development study. There were no group differences in COVID-19 infection rate; however, youth with ADHD were more likely to exhibit COVID-19 symptoms ( d = 0.25), greater sleep problems ( d = −0.52), fear and negative emotions to infection risk ( d = −0.56), trouble with remote learning ( d = −0.54), rule-breaking behavior related to COVID-19 restrictions ( d = −0.23), family conflict ( d = −0.13), and were less prepared for the next school year ( d = 0.38). Youth with ADHD were less responsive to protective environmental variables (e.g., parental monitoring, school engagement) during the pandemic and may need more specialized support with return to in-person schooling and daily activities.


2020 ◽  

The first study to examine the potential of machine learning in early prediction of later substance use disorders (SUDs) in youth with ADHD has been published in the Journal of Child Psychiatry and Psychology.


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