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September 2, 2025

Meta-analysis Reports Gains in Working Memory from Physical Activity for Children and Adolescents with ADHD

Background: 

Children with ADHD often experience deficits in cognitive processes called executive functions. One of the main executive functions is working memory, which is crucial for learning and problem-solving. Issues related to working memory can impact not just academic performance, but also self-esteem, social interactions, and future career prospects. Daily challenges can include completing homework, remembering tasks, and maintaining focus in class, further complicating the learning and social experiences of those with ADHD. 

Physical activity boosts blood flow to the brain. It also assists neural plasticity, meaning it enables networks of nerve cells to reorganize their connections and grow new connections. That helps improve physical skills and potentially academic performance. It is an engaging, easy-to-implement intervention that effectively and sustainably increases children’s participation, overcoming many limitations of other methods. 

Study: 

A Chinese study team set out to perform a systematic search of the published peer-reviewed medical literature to conduct a meta-analysis focusing specifically on the efficacy of physical activity for boosting working memory. 

The inclusion criteria were fourfold. Studies had to: 

  • Provide data specific to children and adolescents 18 years old and under. 
  • Rely on clinical diagnoses of ADHD. 
  • Involve interventions consisting of physical activity or exercise, including but not limited to aerobic exercise, resistance training, and team sports. 
  • Have a minimum duration of five weeks. 
  • Be randomized controlled trials (RCTs) or controlled non-randomized experimental studies. 

Eleven studies with a combined total of 588 participants met the inclusion criteria. Five were rated high quality. None were rated low quality. 

Results:

Meta-analysis of these eleven studies yielded a medium effect size improvement in working memory. Variability in study outcomes was acceptable (low heterogeneity). There was no indication of publication bias. 

Combined cognitive and aerobic interventions were associated with more than double the effect size of simple aerobic interventions, reaching large effect size (4 studies, 233 participants). 

Subgroup analysis favored a happy medium, suggesting there are points beyond which more is not better:  

  • Hour-long interventions were associated with the greatest improvements, with large effect size (3 studies, 180 participants).  
  • Interventions carried out no more than twice a week reached large effect size (3 studies, 130 participants).  
  • Total weekly intervention time of no more than 25 hours also reported a large effect size (4 studies, 144 participants).  

Take-Away:

Because this work focuses on working memory, not the symptoms of ADHD, one cannot conclude that physical activity could replace current therapies for ADHD.  It does, however, provide strong evidence that physical activity interventions can meaningfully improve working memory in children with ADHD. The most consistent benefits were seen with structured programs of moderate duration and frequency. As with previous studies, the results seem to suggest that interventions excessively long in duration may have diminishing results, highlighting the importance of optimizing session length, frequency, and total intervention time. Before recommending very specific exercises and durations, however, further study is still needed. Future research should refine protocols and explore mechanisms that maximize effectiveness.

 

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ADHD May Be Underdiagnosed Based on Sociodemographics

ADHD is underdiagnosed, to varying degrees, among adults of different ethnicities, ages, and education levels in the U.S.

ADHD is underdiagnosed and most cases of ADHD in adults are not being diagnosed by clinicians.

A cohort study looked at over five million adults and over 850,000 children between the ages of five and eleven who received care at Kaiser Permanente Northern California during the ten-year period from the beginning of 2007 through the end of 2016. At any given time, KPNC serves roughly four million persons. It is representative of the population of the region, except for the highest and lowest income strata.

ADHD Diagnosis Rates:

  • Adults: Diagnosis rates rose from 0.43% in 2007 to 0.96% in 2016.
  • Children: Diagnosis rates went up from 2.96% to 3.74%, nearly four times higher than in adults.

Diagnosis Rates by Ethnicity:

  • Non-Hispanic whites had the highest adult diagnosis rates, increasing from 0.67% to 1.42%.
  • American Indian/Alaska Native (AIAN): Rates grew from 0.56% to 1.14%.
  • Black and Hispanic adults had similar rates: Black adults increased from 0.22% to 0.69%, and Hispanic adults rose from 0.25% to 0.65%.
  • Asian adults had the lowest rates (0.11% to 0.35%), followed by Native Hawaiian/Pacific Islanders (0.11% to 0.39%).

ADHD Diagnosis and Age:

The likelihood of being diagnosed with ADHD dropped sharply with age.

(When compared to 18-24-year-olds):

  • 25-34-year-olds were 16% less likely.
  • 35-44-year-olds were 33% less likely.
  • 45-54-year-olds were less than half as likely.
  • 55-64-year-olds were less than a quarter as likely.
  • Adults over 65 were about 5% as likely.

This matches findings from other studies showing that ADHD diagnoses become less common with age.

Other Factors:

  • Adults with higher education levels were twice as likely to be diagnosed as those with less education.
  • Household income had little effect on diagnosis rates.
  • Women were slightly less likely to be diagnosed than men.

ADHD and Comorbidity:

Adults with ADHD were more likely to have other mental health conditions:

  • Eating disorders: 5 times more likely.
  • Bipolar disorder or depression: Over 4 times more likely.
  • Anxiety: More than twice as likely.
  • Substance abuse: Slightly more likely.

Key Findings:
  1. Rising ADHD Diagnosis Rates: The increase in diagnoses may be due to better recognition of ADHD by doctors and greater public awareness during the study period.
  2. Differences by Ethnicity: The differences in diagnosis rates by ethnicity could be related to access to healthcare, cultural attitudes toward mental health, or even attempts to obtain ADHD medications for non-medical reasons, which may be more common among white patients.
Conclusion:

The authors speculate that rising rates of diagnosis “could reflect increasing recognition of ADHD in adults by physicians and other clinicians as well as growing public awareness of ADHD during the decade under study.” Turning to the notable differences by ethnicity, they note, “Racial/ethnic differences could also reflect differential rates of treatment-seeking or access to care. … Racial/ethnic background is known to play an important role in opinions on mental health services, health care utilization, and physician preferences. In addition, rates of diagnosis- seeking to obtain stimulant medication for non-medical use may be more common among white vs nonwhite patients.” They conclude, “greater consideration must be placed on cultural influences on health care seeking and delivery, along with an increased understanding of the various social, psychological, and biological differences among races/ethnicities as well as culturally sensitive approaches to identify and treat ADHD in the total population.”

The study highlights that many cases of adult ADHD go undiagnosed. Research shows about 3% of adults worldwide have ADHD, but this study found that less than 1% are diagnosed by doctors. This points to the need for better training for clinicians to recognize, diagnose, and treat ADHD in adults. It also emphasizes the importance of understanding cultural factors that affect how people seek and receive care.

April 12, 2022
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Daytime Sleepiness, Cognitive Function, and Adult ADHD

What's the relationship between daytime sleepiness and cognitive functioning in adults with ADHD?

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 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 a substantial reduction in the neurocognitive deficits in replications of classic ADHD studies.

January 31, 2021
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