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July 21, 2025
New research has uncovered important links between certain blood metabolites and ADHD by using a genetic method called Mendelian randomization. This approach leverages natural genetic differences to help identify which metabolites might actually cause changes in ADHD risk, offering stronger clues than traditional observational studies.
Key Metabolic Pathways Involved:
The study found 42 plasma metabolites with a causal relationship to ADHD. Most fall into two major groups:
Since many metabolites come from dietary sources like proteins and fats this supports the idea that diet could influence metabolic pathways involved in ADHD. However, because the study focused on genetic influences on metabolite levels, it doesn’t directly prove that dietary changes will have the same effects.
Notable Metabolites:
Five metabolites showed bidirectional links with ADHD, meaning genetic risk for ADHD also affects their levels which suggests a complex interaction between brain function and metabolism.
Twelve ADHD-related metabolites are targets of existing drugs or supplements, including:
While these findings highlight biological pathways, they don’t prove that changing diet will directly alter ADHD symptoms. Metabolite levels are shaped by genetics plus environment, lifestyle, and health factors, which require further study.
Conclusion:
This research provides stronger evidence of metabolic pathways involved in ADHD and points to new possibilities for diagnosis and treatment. Future work could explore how diet or drugs might safely adjust these metabolites to help manage ADHD.
While this study strengthens the link between amino acid and fatty acid metabolism and ADHD risk, suggesting that diet could play a role, ultimately more research is still needed before experts could use this research to give specific nutritional advice.
Shi S, Baranova A, Cao H, Zhang F. Exploring causal associations between plasma metabolites and attention-deficit/hyperactivity disorder. BMC Psychiatry. 2025 May 16;25(1):498. doi: 10.1186/s12888-025-06951-9. PMID: 40380147; PMCID: PMC12084988.
A relatively new area of ADHD research has been examining the association between ADHD and eating disorders (i.e., anorexia nervosa, bulimia nervosa, and binge-eating disorder). Nazar and colleagues conducted a systematic review and meta-analysis of extant studies.
They found only twelve studies that assessed the presence of eating disorders among people with ADHD and five that examined the prevalence of ADHD among patients with eating disorders. Although there were few studies, the total number of people studied was large, with 4,013 ADHD cases and 29,404 controls for the first set of studies and 1,044 eating disorder cases and 11,292 controls for the second set of studies. The meta-analyses of these data found that ADHD people had a 3.8-fold increased risk for an eating disorder compared with non-ADHD controls. The level of risk was similar for each of the eating disorders. Consistent with this, their second meta-analysis found that people with eating disorders had a 2.6-fold increased risk for ADHD compared with controls who did not have an eating disorder. The risk for ADHD was highest for those with binge-eating disorder (5.8-fold increased risk compared with controls).
This bidirectional association between ADHD and eating disorders provides converging evidence that this association is real and, given its magnitude, clinically significant. The results were similar for males and females and pediatric and adult populations.
We cannot tell from these data why ADHD is associated with eating disorders. Nazar et al. note that other work implicates both impulsivity and inattention in promoting bulimic symptoms, whereas inattention and hyperactivity are associated with craving. The association may also be due to the neurocognitive deficits of ADHD, which could lead to a distorted sense of self-awareness and body image.
Given that ADHD is also associated with obesity, some obese ADHD patients may have an underlying eating disorder, such as binge-eating, which has been associated with obesity in prospective studies. Also, lisdexamfetamine is FDA-approved for treating both binge eating and ADHD, which suggests the possibility that the two conditions share an underlying etiology involving the dopamine system. We do not know if treating ADHD would reduce the risk for eating disorders, as that hypothesis has not yet been tested. But such an effect would seem likely if ADHD behaviors mediate the association between the two disorders.
If we are to read what we believe on the Internet, dieting can cure many of the ills faced by humans. Much of what is written is true. Changes in dieting can be good for heart disease, diabetes, high blood pressure, and kidney stones to name just a few examples. But what about ADHD? Food elimination diets have been extensively studied for their ability to treat ADHD. They are based on the very reasonable idea that allergies or toxic reactions to foods can have effects on the brain and could lead to ADHD symptoms.
Although the idea is reasonable, it is not such an easy task to figure out what foods might cause allergic reactions that could lead to ADHD symptoms. Some proponents of elimination diets have proposed eliminating a single food, others include multiple foods, and some go as far as to allow only a few foods to be eaten to avoid all potential allergies. Most readers will wonder if such restrictive diets, even if they did work, are feasible. That is certainly a concern for very restrictive diets.
Perhaps the most well-known ADHD diet is the Feingold diet(named after its creator). This diet eliminates artificial food colorings and preservatives that have become so common in the western diet. Some have claimed that the increasing use of colorings and preservatives explains why the prevalence of ADHD is greater in Western countries and has been increasing over time. But those people have it wrong. The prevalence of ADHD is similar around the world and has not been increasing over time. That has been well documented but details must wait for another blog.
The Feingold and other elimination diets have been studied by meta-analysis. This means that someone analyzed several well-controlled trials published by other people. Passing the test of meta-analysis is the strongest test of any treatment effect. When this test is applied to the best studies available, there is evidence that the exclusion of fool colorings helps reduce ADHD symptoms. But more restrictive diets are not effective. So removing artificial food colors seems like a good idea that will help reduce ADHD symptoms. But although such diets ‘work’, they do network very well. On a scale of one to 10where 10 is the best effect, drug therapy scores 9 to 10 but eliminating food colorings scores only 3 or 4. Some patients or parents of patients might want this diet change first in the hopes that it will work well for them. That is a possibility, but if that is your choice, you should not delay the more effective drug treatments for too long in the likely event that eliminating food colorings is not sufficient. You can learn more about elimination diets from Nigg, J. T., and K.Holton (2014). "Restriction and elimination diets in ADHD treatment."Child Adolesc Psychiatr Clin N Am 23(4): 937-953.
Keep in mind that the treatment guidelines from professional organizations point to ADHD drugs as the first-line treatment for ADHD. The only exception is for preschool children where medication is only the first-line treatment for severe ADHD; the guidelines recommend that other preschoolers with ADHD be treated with non-pharmacologic treatments, when available. You can learn more about non-pharmacologic treatments for ADHD from a book I recently edited: Faraone, S. V. &Antshel, K. M. (2014). ADHD: Non-Pharmacologic Interventions. Child AdolescPsychiatr Clin N Am 23, xiii-xiv.
A Swedish-Danish-Dutch team used the Swedish Medical Birth Register to identify the almost 1.7 million individuals born in the country between 1980 and 1995. Then, using the Multi-Generation Register, they identified 341,066 pairs of full siblings and 46,142 pairs of maternal half-siblings, totaling 774,416 individuals.
The team used the National Patient Register to identify diagnoses of ADHD, as well as neurodevelopmental disorders (autism spectrum disorder, developmental disorders, intellectual disability, motor disorders), externalizing psychiatric disorders (oppositional defiant and related disorders, alcohol misuse, drug misuse), and internalizing psychiatric disorders (depression, anxiety disorder, phobias, stress disorders, obsessive-compulsive disorder).
The team found that ADHD was strongly correlated with general psychopathology overall (r =0.67), as well as with the neurodevelopmental (r = 0.75), externalizing (r =0.67), and internalizing (r = 0.67) sub factors.
To tease out the effects of heredity, shared environment, and non-shared environment, a multivariate correlation model was used. Genetic variables were estimated by fixing them to correlate between siblings at their expected average gene sharing (0.5for full siblings, 0.25 for half-siblings). Non-genetic environmental components shared by siblings (such as growing up in the same family) were estimated by fixing them to correlate at 1 across full and half-siblings. Finally, non-shared environmental variables were estimated by fixing them to correlate at zero across all siblings.
This model estimated the heritability of the general psychopathology factor at 49%, with the contribution of the shared environment at 7 percent and the non-shared environment at 44%. After adjusting for the general psychopathology factor, ADHD showed a significant and moderately strong phenotypic correlation with the neurodevelopmental-specific factor (r = 0.43), and a significantly smaller correlation with the externalizing-specific factor (r = 0.25).
For phenotypic correlation between ADHD and the general psychopathology factor, genetics explained 52% of the total correlation, the non-shared environment 39%, and the shared familial environment only 9%. For the phenotypic correlation between ADHD and the neurodevelopmental-specific factor, genetics explained the entire correlation because the other two factors had competing effects that canceled each other out. For the phenotypic correlation between ADHD and the externalizing-specific factor, genetics explained 23% of the correlation, shared environment 22%, and non-shared environment 55%.
The authors concluded that "ADHD is more phenotypically and genetically linked to neurodevelopmental disorders than to externalizing and internalizing disorders, after accounting for a general psychopathology factor. ... After accounting for the general psychopathology factor, the correlation between ADHD and the neurodevelopmental-specific factor remained moderately strong, and was largely genetic in origin, suggesting substantial unique sharing of biological mechanisms among disorders. In contrast, the correlation between ADHD and the externalizing-specific factor was much smaller and was largely explained by-shared environmental effects. Lastly, the correlation between ADHD and the internalizing subfactor was almost entirely explained by the general psychopathology factor. This finding suggests that the comorbidity of ADHD and internalizing disorders are largely due to shared genetic effects and non-shared environmental influences that have effects on general psychopathology."
The Background:
Many studies have tried to determine whether exercise improves executive function in children and adolescents with ADHD, but their conclusions have not always agreed. To bring the evidence together more clearly, the research team re-analyzed the available randomized controlled trials using a statistical approach designed to handle the kinds of data common in this field.
Executive functions are skills that help us control attention and behavior. The three core components are inhibitory control (the ability to stop or override impulses), working memory (holding and manipulating information in mind), and cognitive flexibility (switching between tasks or perspectives). Because a single study often reports multiple tests that tap these different skills, one study can contribute several related results (called effect sizes). Traditional meta-analysis typically treats each effect size as independent; when they are actually correlated, that can bias the combined estimate or force reviewers to discard useful data.
To avoid those problems, the team used a three-level meta-analysis. In this model, variance in the data is separated into three sources:
(1) sampling variance: the random error in each measured effect
(2) within-study variance: differences between multiple effect sizes reported in the same study
(3) between-study variance: differences in effects from one study to another
Accounting for all three levels makes it possible to include every eligible effect size from each study, which preserves information and statistical power and reduces the risk that correlations among effect sizes will overstate results.
The Study:
The review focused on long-term exercise interventions and also tested whether certain factors might change (or moderate) the effects. These potential moderators included participant age, which executive-function subcomponent was measured, the type of exercise, how long each session lasted, the total length of the intervention, and how often sessions occurred.
To be included, studies had to be randomized controlled trials (RCTs) of children or adolescents aged 6–18 diagnosed with ADHD. RCTs randomly assign participants to an intervention or a comparison group and are considered a strong design for testing cause-and-effect. The exercise programs had to be structured and last at least six weeks. Comparison groups varied by study and could include usual care, medication, sedentary activities, health education, waiting lists, or everyday life without the specific exercise program. Fifteen studies including 658 participants met these criteria.
The Results:
The three-level meta-analysis showed that long-term exercise interventions were associated with moderate-to-strong improvements in overall executive function. When statistical outliers were removed, the result remained positive: 13 RCTs with 598 participants showed moderate improvements. In plain terms, this suggests improvements that are noticeable and meaningful on average, not just tiny changes that are unlikely to matter in daily life.
Those moderate gains appeared across all three executive-function domains (inhibitory control, working memory, and cognitive flexibility, meaning the benefits were not limited to a single cognitive skill. The authors also examined exercise type:
“Open-skill” activities, which require reacting to changing situations (for example, many team sports, martial arts sparring, or racket sports), produced moderate-to-large improvements.
“Closed-skill” activities, which are more predictable and repetitive (for example, running or stationary cycling), showed only small, non-significant improvements in this analysis.
The review also found dose-related patterns. Interventions lasting at least twelve weeks were about three times more effective than interventions of six to twelve weeks, and sessions longer than an hour were about twice as effective as shorter sessions. Benefits were largest among adolescents aged 13 and older.
These patterns suggest that longer, more intensive programs, and those that involve open-skill activities, may produce larger gains. However, the authors caution that the overall certainty of the evidence was low. “Low certainty” means that limitations in the available studies (for example, small sample sizes, variability in methods, or possible bias) make it difficult to be confident that the observed effects will hold up exactly the same way in future research. Some subgroup findings (age, intervention duration, and others) were based on only a small number of effect sizes, so those moderator results should be treated as exploratory rather than definitive.
The Take-Away:
In short, this three-level meta-analysis suggests that regular, structured exercise (particularly longer programs and open-skill activities) may help improve executive functions in children and adolescents with ADHD. The evidence is promising but not yet strong enough to be considered conclusive, and the authors recommend more, larger randomized trials to confirm specifically which types and doses of exercise are most effective. Moreover, neither this meta-analysis or others show that exercise can replace standard treatments for reducing the core symptoms of ADHD (inattention, hyperactivity, impulsivity).
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When a patient sits down in an examination room today, their physician is rarely the first voice they have heard regarding their symptoms. More often, an algorithm got there first.
According to a nationwide survey by The Physicians Foundation conducted with Medscape, medical misinformation is no longer a peripheral nuisance; it is a daily clinical crisis. Nearly all surveyed physicians (99.9%) reported that their patients had been influenced by medical misinformation over the past year.
While misinformation affects every discipline from oncology to cardiology, few conditions sit as squarely in the algorithmic crosshairs as ADHD. From viral 30-second video clips trivializing complex executive dysfunction to predatory wellness campaigns attacking evidence-based medications, the attack on evidence directly threatens the well-being of children and adults living with ADHD.
Key Findings from The Physicians Foundation
The survey, which captured perspectives from over 1,000 practicing physicians, paints a sobering picture of how unverified information disrupts modern medicine:
The challenge is especially acute in communities already facing systemic healthcare hurdles:
As the survey illustrates, 38% of rural physicians encounter "a great deal" of health misinformation, far exceeding their suburban (21%) and urban (25%) peers. In rural and underserved regions, where access to developmental pediatricians and psychiatrists is already scarce, online narratives frequently fill the void left by provider shortages.
Why ADHD Is Ground Zero for Health Misinformation
Despite decades of neurobiological research confirming its validity, ADHD remains uniquely vulnerable to digital distortions in three distinct ways:
1. The Dueling Traps: "Life Hack" Trivialization vs. Denialism
Social media platforms host billions of views under ADHD-related tags. While digital awareness has helped destigmatize mental health, it frequently collapses nuanced clinical criteria into broad, relatable personality traits such as zoning out during a boring meeting, misplacing keys, or feeling restless.
This creates two opposing misinformation hazards:
2. Medication Stigma and Treatment Nonadherence
The survey found that 49% of doctors frequently encounter medication nonadherence and 45% face treatment refusal due to misinformation.
In ADHD care, this finding is acutely visible around stimulant pharmacotherapy. First-line stimulant medications have high response rates and extensive safety profiles spanning decades. Yet online narratives persistently frame them as dangerous narcotics, accusing parents of "drugging their children" or claiming medications permanently alter a child's brain.
Terrified parents frequently delay initiating care or discontinue effective regimens without clinical oversight, turning instead to unproven, expensive alternative supplements, unverified nootropics, or restrictive elimination diets.
3. Escalating Anxiety and Parental Guilt
With 66% of physicians observing increased patient anxiety driven by online health claims, the emotional toll on families cannot be overstated. Parents of newly diagnosed children are inundated with contradictory advice: one post warns that failing to medicate guarantees academic failure, while another claims that medicating guarantees addiction.
Adults navigating a new diagnosis experience similar distress, second-guessing their lived experiences and feeling deep shame over their executive dysfunction.
4. The 15-Minute Primary Care Bottleneck
Because pediatricians and family physicians handle most ADHD diagnoses and management, the survey’s warning that 70% of primary care providers feel hamstrung by misinformation hits ADHD patients first.
Deconstructing a viral video, explaining the difference between therapeutic stimulant dosing and substance misuse, and addressing years of internalized stigma takes time. In a standard 15-to-20-minute primary care visit, providers are forced to choose between rushing through diagnostic assessments or leaving patients' misinformed fears unaddressed.
Rebuilding the Partnership: Steps for Patients, Families, and Providers
Addressing the erosion of trust requires practical, collaborative shifts from both sides of the examination table:
For Patients and Caregivers
For Healthcare Providers and Systems
Medical misinformation thrives in the gap between a patient's vulnerability and the clinical system's time constraints. By recognizing how digital noise distorts ADHD, patients and clinicians can work together to replace viral anxiety with evidence-based care.
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.”
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