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May 22, 2024
Noting that the degree of comorbidity (co-occurrence) between epilepsy and ADHD “has never been quantified based on a systematic review with meta-analysis,” a Chinese study team based at Wuhan university has just reported findings based on doing just that.
Their systematic search of the peer-reviewed medical literature yielded 17 studies examining the prevalence of epilepsy among persons with ADHD, and 49 studies measuring the prevalence of ADHD among persons with epilepsy.
According to the Apple dictionary app, epilepsy is “a neurological disorder marked by sudden recurrent episodes of sensory disturbance, loss of consciousness, or convulsions, associated with abnormal electrical activity in the brain.” Its lifetime prevalence in the general population is about 0.76%, or about one in every 130 persons.
Meta-analysis of 17 studies with a combined total of over 900,000 participants spread over twelve countries on five continents yielded an epilepsy prevalence estimate of 3.4% among individuals with ADHD, or well over four times the prevalence in the general population. There was no sign of publication bias, but variability (heterogeneity) among studies was extremely high.
The worldwide prevalence of ADHD in children, on the other hand, is about 7.2%, affecting roughly one in fourteen.
Meta-analysis of 49 studies with a combined total of 172,206 persons from 16 countries on five continents reported an ADHD prevalence of just over 22% among persons with epilepsy. However, heterogeneity among studies was extremely high, and there was very strong evidence of publication bias.
Using the trim-and-fill correction for publication bias yielded a reduced estimate of 16%, which is still over twice the prevalence in the general population.
Furthermore, the authors noted, “Given that the large sample studies in this study are basically population-based studies and the small sample studies are hospital-based studies, there is also the possibility of Berkson’s bias. Specifically, patients with comorbidities are more likely to need help or seek medical advice. This possibility would yield a higher comorbidity rate in hospital-based studies.”
And that is exactly what emerged from subgroup analysis. The prevalence of ADHD in epilepsy among the hospital-based studies was 27.1%, over twice the 13.2% prevalence reported from the 13 population-based studies. The largest population-based study, a U.S. study with over 114,000 participants, yielded a prevalence of only 3.5%.
The authors cautioned that the very high degree of heterogeneity between studies indicates “it is inappropriate to consider the summary effect as representative of the real effect.”
Shun, Wang & Yao, Baozhen & Haiju, Zhang & Xia, Liping & Yu, Shiqian & Peng, Xia & Xiang, Dan & Liu, Zhongchun. (2023). Comorbidity of epilepsy and attention-deficit/hyperactivity disorder: a systematic review and meta-analysis. Journal of Neurology. 270. 1-13. 10.1007/s00415-023-11794-z.
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The Background:
Adults with ADHD often struggle more at work than their peers without ADHD. They tend to underperform on job tasks, advance less in their careers, miss more workdays, and face higher rates of unemployment. Research from several countries, including Japan, points to two main channels through which ADHD erodes workplace productivity: absenteeism, or missing work entirely, and presenteeism, showing up but performing below one’s usual capacity. Both problems typically trace back to ADHD’s core symptoms: difficulty sustaining attention, managing time, staying organized, and navigating relationships with coworkers and supervisors.
Stigma compounds these challenges. Employers and the public often have limited understanding of how ADHD manifests in adults, which can translate into unfair treatment or diminished job opportunities. That fear of judgment, in turn, discourages some people from seeking a psychiatric evaluation in the first place, delaying diagnosis and treatment, and with it, delaying access to support that could improve both their work performance and daily functioning.
Japan does offer medical care and workplace support for adults with ADHD. Options include social skills training, which teaches practical strategies for communication and collaboration; self-reliance support programs that help with daily living and job management; and, in more severe cases, a disability pension for those unable to work. Still, it remains unclear whether these employment-support services are robust enough to help people who want to work actually secure and hold onto steady jobs.
The impact of ADHD extends beyond the individual diagnosed. Supporting a family member with ADHD can be emotionally and logistically demanding, often cutting into a caregiver’s own capacity to work and earn, meaning that the economic toll of ADHD ripples outward.
The Research:
Most prior research on the economic costs of ADHD, in both children and adults, has come from the United States and Europe, focusing on medical expenses, lost productivity, and social support spending. Until recently, no one had attempted a comparable estimate for adult ADHD in Japan or elsewhere in Asia.
To address that gap, a Japanese research team conducted a cross-sectional observational study (meaning they gathered data at a single point in time and examined existing patterns rather than testing an intervention). They drew on three sources: a retrospective review of medical insurance claims, a web-based survey of affected individuals, and official government statistics. Combining these, they estimated annual costs from a societal perspective, accounting for medical expenses, lost work productivity, and government welfare spending, as well as productivity losses among family caregivers.
The claims analysis relied on JMDC, a nationwide database of insurance receipts and medical examination records spanning multiple health insurers and covering 14 million residents. Within it, the researchers identified 30,730 adult outpatients diagnosed with ADHD.
The Results:
Annual medical costs per adult with ADHD (combining outpatient visits and medication) averaged 284,000 yen (about $1,750). Scaling this figure to match the age and sex distribution of Japan’s adult population produced a nationwide estimate of 74 billion yen (about $455 million).
A separate web-based survey found that, after statistical matching, nearly half of adults with ADHD received a disability pension, yielding a nationwide estimate of 95 billion yen (about $585 million) in ADHD-related pension payments. Including public employment support services, total social welfare spending reached 390 billion yen (about $2.4 billion).
Workplace productivity losses were substantial as well. With an unemployment rate more than four percentage points higher than the general population, unemployment-related losses among adults with ADHD totaled an estimated 50 billion yen. Lower average incomes among those employed accounted for a further 315 billion yen. Once absenteeism and presenteeism were factored in, total productivity losses reached 570 billion yen (about $3.5 billion).
Family members bore a comparable burden: productivity losses among adult relatives of people with ADHD were estimated at 540 billion yen (about $3.3 billion).
Taken together, these figures point to a nationwide socioeconomic burden of 1.6 trillion yen (roughly $11 billion), equivalent to nearly $30,000 per adult with ADHD.
The Take-Away:
“This study, the first estimate of the annual socioeconomic burden of adult ADHD in Japan, underscores the necessity of providing appropriate support to adult patients with ADHD and their families and the prevention of comorbidities,” the research team concluded. “In particular, measures to support participation in the workplace to improve patients’ quality of life and reduce the social and economic burden should be explored. Furthermore, it is hoped that estimating the annual socioeconomic burden of adult ADHD will help clarify policy priorities in Japan.”
The Background:
Motor vehicle crashes remain one of the most significant public health challenges in the United States. In 2022 alone, nearly 44,000 people died on American roads, and more than 2.6 million crash-related injuries required emergency care. Most people are familiar with the usual suspects: drunk driving, speeding, and distracted driving from phones. These risks are well-documented and the focus of ongoing public safety campaigns.
But a serious risk factor has been flying under the radar: untreated ADHD. Despite receiving little attention from the public, policymakers, or transportation safety agencies, it may belong in the same conversation as these better-known dangers.
ADHD is not currently recognized by the National Highway Traffic Safety Administration as a driving risk factor; yet inattention and impulsivity, two of its defining features, are consistently cited as common contributors to crashes. Beyond these core symptoms, adults with ADHD may also experience emotional dysregulation, which can further impair driving behavior.
The Research:
Prior studies on ADHD and crash risk have produced estimates ranging from a 5% to a 70% increase. This massive heterogeneity has made it difficult to draw firm conclusions. This new meta-analysis set out to offer some clarity on these numbers.
Researchers focused specifically on adults aged 18 to 65 with a formal ADHD diagnosis who were not receiving treatment, comparing them to controls without ADHD. Four studies met these criteria, collectively covering more than 2.75 million people.
The Results:
The findings were striking: untreated ADHD was associated with a 93% increase in crash risk (95% confidence interval: 88%–99%). There was no evidence of publication bias. Although there was meaningful variation across studies, most of it stemmed from the smallest study (just 36 participants) which reported an outlier estimate of a 16-fold increase.
To put the 93% figure in context: a separate meta-analysis found that alcohol use is associated with a 150% increase in crash risk. Another way to understand just how significant this risk really is, untreated ADHD raises crash risk by more than half as much as alcohol does.
The analysis also found a dose-response relationship between ADHD symptom severity and crash risk: each incremental increase in symptom severity corresponded to a 5–6% higher crash risk. At the highest severity levels, crash risk approached that associated with alcohol use. This gradient reinforces that we're not looking at a binary distinction between “has ADHD” and “doesn’t” — the worse the symptoms, the greater the danger on the road.
The Takeaway:
These findings have practical implications for patients, families, clinicians, and policymakers alike. Untreated ADHD is not a minor footnote in the driving safety literature; rather, it is a substantial, measurable, and potentially modifiable risk factor. The question of whether and how it should be factored into licensing policy, clinical practice, and public health messaging deserves serious attention.
As populations grow, more children are growing up surrounded by traffic noise and polluted air. In most cities, these two factors tend to go hand-in-hand; yet, most previous research has examined these exposures separately. Many reviews focused on a single pollutant (such as fine particulate matter, PM2.5), or on a single developmental window, such as pregnancy or early childhood. Few have asked how noise and air pollution compare as risk factors, or how prenatal and postnatal exposures differ in their effects.
A new meta-analysis set out to address those gaps. It examined evidence on both environmental noise and several major air pollutants in relation to ADHD, compared exposures before versus after birth, and pooled data across countries and regions. Eligible studies involved children and adolescents under 18, used objective measures of environmental exposure, and assessed ADHD using either clinical diagnosis or standardized rating scales.
Noise
Nine studies, combining data from over 100,000 children and adolescents (all in European countries and Canada) found that high noise exposure was associated with 3% greater odds of ADHD. Prenatal noise exposure showed no effect; childhood exposure alone drove the association, at 4% greater odds. This is a negligible effect size that could easily reflect unmeasured confounding factors rather than a true causal relationship.
Nitrogen dioxide
Thirteen studies covering nearly one million children and adolescents in Europe, Canada, China, and South Korea found that nitrogen dioxide (NO₂) exposure was associated with 11% greater odds of ADHD. As with noise, prenatal exposure showed no independent effect. When the analysis was restricted to the five studies that used clinical diagnoses alone — generally considered the most reliable measure — the estimated odds rose to between 20% and 80% higher. The wide range reflects substantial variation across studies.
Pollutants with no significant effect
Four studies (97,500 participants) examining nitric oxide (NO), three studies (over 63,000 participants) on ozone, and three studies (over 28,000 participants) on sulfur dioxide found no significant associations with ADHD.
Particulate matter
The strongest associations emerged for particulate matter. Twelve studies involving nearly 160,000 participants in China, the US, Canada, and Europe found that exposure to fine particles (PM2.5, 2.5 microns in diameter) was associated with 30% greater odds of ADHD. Ten studies covering more than a quarter of a million participants in India, China, South Korea, and Europe found that coarser particles (PM10, 10 microns) were associated with 50% greater odds. In both cases, prenatal exposure showed no association, which is consistent with the fact that fetuses do not breathe air through developed lungs. When restricted to clinically diagnosed ADHD, PM2.5 was associated with roughly 50% greater odds, and PM10 with more than double the odds.
The Results
Across all exposures examined, particulate matter showed the clearest and strongest associations with ADHD, followed by nitrogen dioxide. Noise reached statistical significance but at a trivially small effect size. Nitric oxide, ozone, and sulfur dioxide showed no significant associations.
The authors found no evidence of publication bias which strengthens confidence in the overall pattern. However, there was marked heterogeneity across individual studies: results varied considerably, which urges caution in treating any single estimate as definitive. These are associations, not proven causal relationships, and the possibility that unmeasured factors explain part of the signal cannot be ruled out.
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