Cookie Preferences
By clicking, you agree to store cookies on your device to enhance navigation, analyze usage, and support marketing. More Info
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
December 15, 2025

The Background:
Meta-analyses have previously suggested a link between maternal thyroid dysfunction and neurodevelopmental disorders (NDDs) in children, though some studies report no significant difference. Overweight and obesity are more common in children and adolescents with NDDs. Hypothyroidism is often associated with obesity, which may result from reduced energy expenditure or disrupted hormone signaling affecting growth and appetite. These hormone-related parameters could potentially serve as biomarkers for NDDs; however, research findings on these indicators vary.
The Study:
A Chinese research group recently released a meta-analysis examining the relationship between neurodevelopmental disorders (NDDs) and hormone levels – including thyroid, growth, and appetite hormones – in children and adolescents.
The analysis included peer-reviewed studies that compared hormone levels – such as thyroid hormones (FT3, FT4, TT3, TT4, TSH, TPO-Ab, or TG-Ab), growth hormones (IGF-1 or IGFBP-3), and appetite-related hormones (leptin, ghrelin, or adiponectin) – in children and adolescents with NDDs like ADHD, against matched healthy controls. To be included, NDD cases had to be first-diagnosis and medication-free, or have stopped medication before testing. Hormone measurements needed to come from blood, urine, or cerebrospinal fluid samples, and all studies were required to provide both means and standard deviations for these measurements.
Meta-analysis of nine studies encompassing over 5,700 participants reported a medium effect size increase in free triiodothyronine (FT3) in children and adolescents with ADHD relative to healthy controls. There was no indication of publication bias, but variation between individual study outcomes (heterogeneity) was very high. Further analysis showed FT3 was only significantly elevated in the predominantly inattentive form of ADHD (three studies), again with medium effect size, but not in the hyperactive/impulsive and combined forms.
Meta-analysis of two studies combining more than 4,800 participants found a small effect size increase in thyroid peroxidase antibody (TPO-Ab) in children and adolescents with ADHD relative to healthy controls. In this case, the two studies had consistent results. Because only two studies were involved, there was no way to evaluate publication bias.
The remaining thyroid hormone meta-analyses, involving 6 to 18 studies and over 5,000 participants in each instance, found no significant differences in levels between children and adolescents with ADHD and healthy controls.
Meta-analyses of six studies with 317 participants and two studies with 192 participants found no significant differences in growth hormone levels between children and adolescents with ADHD and healthy controls.
Finally, meta-analyses of nine studies with 333 participants, five studies with 311 participants, and three studies with 143 participants found no significant differences in appetite-related hormone levels between children and adolescents with ADHD and healthy controls.
The Conclusion:
The team concluded that FT3 and TPO-Ab might be useful biomarkers for predicting ADHD in youth. However, since FT3 was only linked to inattentive ADHD, and TPO-Ab’s evidence came from just two studies with small effects, this conclusion may overstate the meta-analysis results.
Our Take-Away:
Overall, this meta-analysis found only limited evidence that hormone differences are linked to ADHD. One thyroid hormone (FT3) was higher in children with ADHD—mainly in the inattentive presentation—but the findings varied widely across studies. Another marker, TPO-Ab, showed a small increase, but this came from only two studies, making the result less certain. For all other thyroid, growth, and appetite-related hormones, the researchers found no meaningful differences between children with ADHD and those without. While FT3 and TPO-Ab may be worth exploring in future research, the current evidence is not strong enough to consider them reliable biomarkers.
Hong Wang, Kun Huang, Lizhen Piao, and Xiaochen Xue, “Dysregulation of Thyroid, Growth, and Appetite Hormones in Children and Adolescents With Neurodevelopmental Disorders: A Meta-analysis,” Journal of Integrative Neuroscience (2025) 24(10), 39816, https://doi.org/10.31083/JIN39816.
Serotonin is a key chemical in the body that helps regulate mood, behavior, and also many physical functions such as sleep and digestion. It has also been linked to how ADHD (attention-deficit/hyperactivity disorder) develops in the brain. This study looks at how serotonin may be involved in both the mental health and physical health conditions that often occur alongside ADHD.
It is well-established that ADHD is more than just trouble focusing or staying still. For many, it brings along a host of other physical and mental health challenges. It is very common for those with ADHD to also have other diagnosed disorders. For example, those with ADHD are often also diagnosed with depression, anxiety, or sleep disorders. When these issues overlap, they are called comorbidities.
A new comprehensive review, led by Dr. Stephen V. Faraone and colleagues, delves into how serotonin (5-HT), a major brain chemical, may be at the heart of many of these common comorbidities.
Serotonin is a neurotransmitter most often linked to mood, but its role in regulating the body has much broader implications. It regulates sleep, digestion, metabolism, hormonal balance, and even immune responses. Although ADHD has long been associated with dopamine and norepinephrine dysregulation, this review suggests that serotonin also plays a central role, especially when it comes to comorbid conditions.
This research suggests that serotonin dysregulation could explain the diverse and sometimes puzzling range of symptoms seen in ADHD patients. It supports a more integrative model of ADHD—one that goes beyond the brain’s attention, reward and executive control circuits and considers broader physiological and psychological health.
future research into the role of serotonin could help develop more tailored interventions, especially for patients who don't respond well to stimulant medications. Future studies may focus on serotonin’s role in early ADHD development and how it interacts with environmental and genetic factors.
This study is a strong reminder that ADHD is a complex, multifaceted condition. Differential diagnosis is crucial to properly diagnosing and treating ADHD. Clinicians' understanding of the underlying link between ADHD and its common comorbidities may help future ADHD patients receive the individualized care they need. By shedding light on serotonin’s wide-reaching influence, this study may provide a valuable roadmap for improving how we diagnose and treat those with complex comorbidities in the future.
Noting that “evidence on the association between ADHD and a physical condition associated with obesity, namely type 2 diabetes mellitus (T2D), is sparse and has not been meta-analysed yet,” a European study team performed a systematic search of the peer-reviewed medical literature followed by a meta-analysis, and then a nationwide population study.
Unlike type 1 diabetes, which is an auto-immune disease, type 2 diabetes is believed to be primarily related to lifestyle, associated with insufficient exercise, overconsumption of highly processed foods, and especially with large amounts of refined sugar. This leads to insulin resistance and excessively high blood glucose levels that damage the body and greatly lower life expectancy.
Because difficulty with impulse control is a symptom of ADHD, one might hypothesize that individuals with ADHD would be more likely to develop type-2 diabetes.
The meta-analysis of four cohort studies encompassing more than 5.7 million persons of all ages spread over three continents (in the U.S., Taiwan, and Sweden) seemed to point in that direction. It found that individuals with ADHD had more than twice the odds of developing type 2 diabetes than normally developing peers. There was no sign of publication bias, but between-study variability (heterogeneity) was moderately high.
The nationwide population study of over 4.2 million Swedish adults came up with the same result when adjusting only for sex and birth year.
Within the Swedish cohort there were 1.3 million families with at least two full siblings. Comparisons among siblings with and without ADHD again showed those with ADHD having more than twice the odds of developing type 2 diabetes. That indicated there was little in the way of familial confounding.
However, further adjusting for education, psychiatric comorbidity, and antipsychotic drugs dropped those higher odds among those with ADHD in the overall population to negligible (13% higher) and barely significant levels.
The drops were particularly pronounced for psychiatric comorbidities, especially anxiety, depression, and substance use disorders, all of which had equal impacts.
The authors concluded, “This study revealed a significant association between ADHD and T2D [type 2 diabetes] that was largely due to psychiatric comorbidities, in particular SUD [substance use disorders], depression, and anxiety. Our findings suggest that clinicians need to be aware of the increased risk of developing T2D in individuals with ADHD and that psychiatric comorbidities may be the main driver of this association. Appropriate identification and treatment of these psychiatric comorbidities may reduce the risk for developing T2D in ADHD, together with efforts to intervene on other modifiable T2D risk factors (e.g., unhealthy lifestyle habits and use of antipsychotics, which are common in ADHD), and to devise individual programs to increase physical activity. Considering the significant economic burden of ADHD and T2D, a better understanding of this relationship is essential for targeted interventions or prevention programs with the potential for a positive impact on both public health and the lives of persons living with ADHD.”
Sweden has a national single-payer health insurance system that includes virtually the entire population. It also has a system of national registers that track every resident from birth to death. That makes it possible to conduct nationwide population studies with a very high degree of precision and reliability.
In addition, one of the national registers is the Swedish Twin Register. Tracking all twins in the population enables studies to evaluate the degree to which observed associations may be attributable to genetic influences and to familial confounding. The twin method relies on the different levels of genetic relatedness between monozygotic ("identical") twins, who are genetically identical, and dizygotic ("fraternal") twins, who share on average half of their genetic variation (as do ordinary full siblings).
A Swedish team of researchers identified 42,582 Swedish twins born between 1959 and 1985, and who were, therefore, adults by the time of the study (20-47 years old). Of these, 24,872 (three out of five) completed a web-based survey with 1,300 questions covering lifestyle and mental and physical health. Out of this group, 17,999 provided information on ADHD symptoms and food frequency.
Self-reported ADHD symptoms came from nine inattention components and nine hyperactivity/impulsivity components, covering the 18 DSM- IV symptoms of ADHD.
The food frequency questionnaire included 94 food items, with the following frequency categories: never, 1-3 times/month, 1-2 times/week, 3-4 times/week, 5-6 times/week, 1 time/day, 2 times/day, 3 times/day.
In the raw data, the two subtypes of ADHD exhibited very similar associations. Both had significant associations with unhealthy diets. Both were more likely to be eating foods high in added sugar, and neglecting fruits and vegetables while eating more meat and fats.
After adjusting for the degree of relatedness of twins (whether monozygotic or dizygotic) and controlling for the other ADHD subtype, the associations remained statistically significant for inattention, but diminished to negligible levels or became statistically non-significant for hyperactivity/impulsivity.
Even for persons with inattention symptoms, adjusted correlations were small (never exceeding r = 0.10), with the strongest associations being for overall unhealthy eating habits (r = 0.09), eating foods high in added sugar (r = 0.10) or high in fat (r = 0.05), and neglecting fruits and vegetables (r = 0.06). All other associations became statistically non-significant.
For persons with hyperactivity/impulsivity symptoms, the only associations that remained statistically significant - but at tiny effect sizes - were unhealthy dietary patterns (r = 0.04) and consumption of foods high in added sugar (r = 0.03).
The further genetic analysis, therefore, focused on the strongest associations, between ADHD subtypes on the one hand, and unhealthy dietary patterns and eating foods high in added sugar on the other hand. The heritability estimates (the fraction of phenotypic covariance explained by genetic influences) were 44%, 40%, and 37% for inattention and high-sugar food, inattention and unhealthy dietary patterns, and hyperactivity/impulsivity and high-sugar food, respectively.
When examining only differences between pairs of monozygotic("identical") twins, the correlations became stronger for inattention, rising to r = 0.12 for unhealthy eating habits and r = 0.13 for consumption of foods high in added sugar. For hyperactivity/impulsivity symptoms, the association with unhealthy eating habits was weaker, and the association with consumption of foods high in added sugar became statistically insignificant.
The authors concluded, "we identified positive associations between self-reported trait dimensions of ADHD and intake of seafood, high-fat food, high-sugar food, high-protein food, and an unhealthy dietary pattern, and negative associations with consumption of fruits, vegetables, and a healthy dietary pattern. However, all the associations are small in magnitude. These associations were stronger for inattention compared to hyperactivity/ impulsivity. This pattern of associations was also reflected at the etiological level, where we found a slightly stronger genetic correlation between inattention with dietary habits and hyperactivity/impulsivity with dietary habits. Non-shared environmental influences also contributed to the overlap between ADHD symptom dimensions and consumption of high-sugar food and unhealthy dietary pattern. However, shared environmental influences probably contributed relatively little to the associations between ADHD symptoms and dietary habits. ... significant MZ twin intraplate differences also provided support for a potential causal link between inattention and dietary habits.
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).
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.”
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. More Info
By clicking, you agree to store cookies on your device to enhance navigation, analyze usage, and support marketing. More Info