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November 1, 2023
Sleep disorders are one of the most commonly self-reported comorbidities of adults with ADHD, affecting 50 to 70 percent of them. A team of British researchers set out to see whether this association could be further confirmed with objective sleep measures, using cognitive function tests and electroencephalography (EEG).
Measured as theta/beta ratio, EEG slowing is a widely used indicator in ADHD research. While it occurs normally in non-ADHD adults at the conclusion of a day, during the day it signals excessive sleepiness, whether from obstructive sleep apnea or from neurodegenerative and neurodevelopmental disorders. Coffee reverses EEG slowing, as do ADHD stimulant medications.
Study participants were either on stable treatment with ADHD medication (stimulant or non-stimulant medication), or on no medication. Participants had to refrain from taking any stimulant medications for at least 48 hours prior to taking the tests. Persons with IQ below 80 or with recurrent depression or undergoing a depressive episode were excluded.
The team administered a cognitive function test, The Sustained Attention to Response Task (SART). Observers rated on-task sleepiness using videos from the cognitive testing sessions. They wired participants for EEG monitoring.
Observer-rated sleepiness was found to be moderately higher in the ADHD group than in controls. Although sleep quality was slightly lower in the sleepy group than in the ADHD group, and symptom severity slightly greater in the ADHD group than the sleepy group, neither difference was statistically significant, indicating extensive overlap.
Omission errors in the SART were strongly correlated with sleepiness level, and the strength of this correlation was independent of ADHD symptom severity. EEG slowing in all regions of the brain was more than 50 percent higher in the ADHD group than in the control group and was highest in the frontal cortex.
Treating the sleepy group as a third group, EEG slowing was highest for the ADHD group, followed closely by the sleepy group, and more distantly by the neurotypical group. The gaps between the ADHD and sleepy groups on the one hand, and the neurotypical group on the other, were both large and statistically significant, whereas the gap between the ADHD and sleepy groups was not. EEG slowing was both a significant predictor of ADHD and of ADHD symptom severity.
The authors concluded, These findings indicate that the cognitive performance deficits routinely attributed to ADHD are largely due to on-task sleepiness and not exclusively due to ADHD symptom severity. We would like to propose a simple working hypothesis that daytime sleepiness plays a major role in cognitive functioning of adults with ADHD. As adults with ADHD are more severely sleep deprived compared to neurotypical control subjects and are more vulnerable to sleep deprivation, in various neurocognitive tasks they should manifest larger sleepiness-related reductions in cognitive performance. One clear testable prediction of the working hypothesis would be that carefully controlling for sleepiness, time of day and/or individual circadian rhythms, would result in substantial reduction in the neurocognitive deficits in replications of classic ADHD studies.
Bartosz Helfer, Natali Bozhilova, Ruth E. Cooper, Joanna Ismene Douzenis, Stefanos Maltezos, Philip Asherson, "The Key Role of Daytime Sleepiness in Cognitive Functioning of Adults with ADHD," European Psychiatry (2020), https://doi.org/10.1192/j.eurpsy.2020.28.
The Background:
ADHD and epilepsy are the two most common neurological disorders in children and adolescents. Additionally, they appear as co-diagnoses more often than chance would predict. Roughly a quarter of children with epilepsy also have ADHD, and children with ADHD face a 2.5-times greater risk of developing epilepsy than their peers.
Clinicians have long suspected that carrying both diagnoses compounds cognitive difficulties, but no rigorous quantitative review has mapped out exactly how much, or in what ways. This new meta-analysis now fills that gap.
The Study:
The team pooled data from peer-reviewed studies that included children and adolescents diagnosed with both conditions alongside at least one comparison group: children with neither condition, children with epilepsy alone, or children with ADHD alone. To capture the breadth of thinking skills, they constructed a general intelligence factor drawing on six cognitive domains:
The Results:
Across eleven studies (995 participants), children and adolescents with both conditions scored moderately lower on general intelligence than those with epilepsy alone. The same pattern held across all six cognitive domains. Seven studies (785 participants) comparing the dual-diagnosis group with those who had ADHD alone found an equally consistent moderate deficit, replicated in every domain.
The clearest signal emerged when researchers compared children and adolescents carrying both diagnoses to typically-developing peers. Seven studies covering 427 individuals revealed a substantially larger gap in general intelligence, with the effects of the two conditions appearing to be roughly additive, meaning the combined burden was approximately equal to the sum of each condition's individual impact. This pattern held across five of the six domains.
The Interpretation:
The results come with meaningful caveats. Variability across individual studies was moderate in the first two comparisons and high in the third, reflecting real differences in how studies were designed, which populations they sampled, and how they measured cognition. While there was no sign of publication bias in the first group, it was not assessed in two of the three analyses.
The authors describe “a widespread profile of cognitive dysfunction” in children and adolescents with both epilepsy and ADHD, while underscoring that the substantial variability between studies warrants caution in drawing overly precise conclusions. The findings nonetheless carry practical weight: children managing both conditions may need more intensive cognitive screening and support than current clinical practice routinely provides.
The focus on children and adolescents with ADHD often revolves around behavioral issues and academic difficulties, but the social struggles are real. Around 60% of youth with ADHD experience meaningful difficulties in social skills, reading social cues, and forming reciprocal relationships with peers. Over time, these struggles can raise the risk of anxiety and depression.
Medication remains the primary treatment for ADHD, with stimulants like methylphenidate (Ritalin) being the most commonly prescribed. While effective at reducing core symptoms such as inattention and impulsivity, medication has not been shown to improve social behavior or peer relationships.
The Background:
Exercise has recently emerged as a promising adjunctive therapy. A newly published meta-analysis examined whether structured physical activity can specifically improve social functioning in young people with ADHD. It builds on a previous review from 2015, addressing gaps that earlier work left open: social outcomes were rarely treated as a primary focus, and no prior analysis had systematically compared exercise types or asked how much exercise is actually needed to see benefits.
The Study:
The analysis included 13 randomized controlled trials involving 703 participants aged 6 to 18, all clinically diagnosed with ADHD. Only exercise programs lasting at least four weeks were considered. Studies that combined exercise with other therapies, such as psychotherapy, were excluded to isolate exercise's specific effects.
The researchers used a technique called network meta-analysis, which allows different interventions to be compared against one another even when they haven't been tested head-to-head, alongside dose-response modeling to identify how much exercise produces the greatest benefit.
Results:
The most striking results came from closed-skill exercise: across four studies involving 92 participants, it was associated with a very large reduction in social dysfunction. Open-skill exercise, by contrast, showed no measurable improvement across four studies with 91 participants. Multicomponent exercise (the group combining elements of both open- and closed-skill) reported large gains in two smaller studies with 33 participants.
Mind-body exercise showed a moderate benefit across three studies involving 44 participants.
The dose-response analysis offered a practically useful finding: 30 to 60 minutes of moderate-intensity exercise per day appeared to produce the best outcomes, with a minimum of roughly 15 to 30 minutes daily needed to achieve any meaningful benefit.
The Take-Away:
The results are encouraging but should be interpreted carefully. The number of studies in each category was small (two to three studies each), and sample sizes were modest, meaning the findings may not hold up as more evidence accumulates. The absence of publication bias is reassuring, as is the use of rigorous methodology, but this remains an early-stage evidence base. Larger, well-designed trials are needed before firm clinical recommendations can be made.
For now, the findings position structured physical activity (particularly closed-skill and multicomponent exercise) as a plausible complement to existing ADHD treatment, specifically targeting the social difficulties that medication tends not to address. The practical dose guidance is a useful starting point: around half an hour of moderate daily exercise as a minimum, with an hour as the apparent sweet spot. As low-risk additions to a treatment plan go, that’s a relatively accessible bar for most families to consider alongside professional guidance.
Exercise has attracted growing attention as an intervention for ADHD. As a potential treatment option for ADHD, it is, of course, highly appealing because it can be low- to no-cost, widely accessible, and free of the side effects that can accompany medication. From previous studies, we know that certain types of exercise may be more effective than others, but do we actually know enough for clinicians to prescribe physical activity as a treatment for ADHD?
The First Study: Effects on Core ADHD Symptoms
Despite encouraging findings in individual studies, researchers have lacked clear guidance on which types of exercise work best, at what intensity, and for how long. A meta-analysis by Chen et al. set out to address this by pooling data from 20 randomized controlled trials (RCTs) involving 841 children and adolescents aged 4–18, all of which compared exercise interventions against non-exercising control groups.
The results were cautiously optimistic. Across standardized symptom scales, exercise produced a small improvement in ADHD symptoms overall. Objective cognitive tests showed a moderate improvement. Emotional and behavioral outcomes, however, showed no significant change.
To understand what was driving differences between studies, the researchers broke results down by exercise type. Therapeutic and alternative exercises (targeted movements and specific techniques such as those prescribed by physical therapists) were associated with moderate symptom improvements. Mind-body practices (such as yoga or tai chi) showed small-to-moderate gains. Conventional aerobic exercise yielded smaller effects, while skill-based competitive sports showed no measurable benefit. Notably, the variability between individual studies remained high throughout, meaning these categories should be interpreted with some caution.
Results:
The authors recommend that clinicians and parents consider incorporating therapeutic or alternative exercise sessions twice a week, each lasting 60–90 minutes, as a supplemental strategy alongside existing ADHD treatment. They stop short of calling this definitive, noting that future research should clarify how exercise produces its effects and how it might best be combined with medication or behavioral therapy.
The Second Study: Effects on Inhibitory Control
A second meta-analysis, by Zhang et al., zoomed in on a specific and particularly relevant cognitive challenge in ADHD: inhibitory control. Inhibitory control refers to the ability to suppress impulsive responses and tune out irrelevant distractions. This capacity underlies much of the restlessness, interrupting, and difficulty staying on task that characterize the condition.
This analysis drew on 34 studies with over 1,300 participants spanning all age groups, making it broader in scope than the Chen et al. review. Overall, exercise was associated with a moderate improvement in inhibitory control. When the analysis was restricted to RCTs alone, this finding held up. When studies with a high risk of bias were excluded, however, the effect size dropped to small-to-moderate.
One notable null result: three studies that used EEG to measure brain activity during inhibitory tasks found no significant effects on the neural signatures most closely tied to this process. This suggests exercise may influence behavior without necessarily changing the underlying brain mechanisms researchers expected, or that current methods aren't yet sensitive enough to detect such changes.
The dosing question produced some of the more practically useful findings. Single exercise sessions yielded only borderline small improvements. Sustained exercise programs, by contrast, showed moderate improvements, and programs with sessions three times per week produced large gains and had the strongest effect between the two meta-analyses. Exercise intensity and total program duration, perhaps interestingly, were not significant factors.
Results:
The authors are measured in their conclusions: exercise shows a real but modest benefit for inhibitory control, and frequency appears to matter more than intensity. They caution against overstating the case for exercise as treatment for ADHD overall, as it did not significantly affect hyperactivity or impulsivity as standalone outcomes, and its neural effects remain unclear.
The Broader Picture :
Ultimately, these two meta-analyses support exercise as a meaningful supplemental intervention for ADHD, particularly for attention and cognitive control, while urging realistic expectations. Neither suggests exercise should replace established treatments. Both are limited by high variability across the underlying studies, and both call for better-designed research to sharpen the guidance available to clinicians and families.
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