CDS describes a constellation of symptoms that includes excessive daydreaming, slowed processing speed, low energy, drowsiness, and a general sense of mental under-arousal. It is strikingly common in ADHD: between 25 and 40 percent of children with the disorder show elevated CDS symptoms. Yet research over the past decade has increasingly argued that CDS is a distinct construct, not merely a passive form of inattention. Where ADHD inattention is often characterized by external distractibility, a child pulled off task by noises or movements in the room, CDS appears to involve internal distractibility, a mind that wanders inward and becomes lost in its own thoughts. Understanding what separates the two, and what each contributes to real-world functioning, has become one of the livelier debates in child psychiatry.

The stakes are high because children with ADHD already carry a heavy burden of language problems. Roughly 40 percent of children and adolescents with ADHD meet criteria for a language disorder, and at group level they show elevated rates of pragmatic language difficulties, trouble with the social side of communication, such as initiating conversations, reading contextual cues, and interpreting nonverbal signals. These language problems are not cosmetic. They are associated with the social challenges and academic underachievement that so often define life with ADHD. What has remained unclear is which children with ADHD are most at risk, and what underlying traits drive the language difficulties. CDS seemed a plausible candidate: a syndrome defined by mental disengagement could plausibly reduce how efficiently a child encodes, organizes, and retrieves linguistic information.

Previous evidence was thin but suggestive. Studies by Russell Barkley and later by G. Leonard Burns and Stephen Becker found that the prevalence of language delay was highest in children showing both ADHD and CDS symptoms, compared with children showing only one of the two. A single study examining language directly found that children with heightened CDS symptoms had more parent-reported social pragmatic difficulties than children with low CDS, with a medium effect size. Similar findings emerged in autistic children, where CDS explained social pragmatic communication difficulties above and beyond core characteristics of autism. What no one had done, until now, was test the CDS-language link specifically in children with ADHD.

The Danish team, led by Ida Jepsen of Aarhus University with colleagues from Aarhus, Copenhagen, Aalborg, and Agder universities, drew on a larger research project on ADHD and language, with data collected between May 2018 and January 2022. The final sample comprised 45 children with ADHD, recruited from a specialist clinic at a Danish public child and adolescent psychiatric hospital, and 38 neurotypical children recruited from schools in the same region. All children were between 7 and 11 years old, had Danish as a first language, and met strict exclusion criteria, no history of autism, epilepsy, or brain injury, an IQ of at least 70, and adequate sensory and motor function to complete the tasks. Children on psychotropic medication had it discontinued at least 24 hours before assessment.

The study’s methodological strength lies in measuring three distinct dimensions of language rather than treating language as a single monolithic skill. Narrative coherence was assessed with the classic wordless picture book Frog, Where Are You?, with children telling the story in their own words and blind coders rating whether they captured the beginning, middle, and end. Core language, the formal, rule-based machinery of grammar and syntax, was measured with subtests from the Clinical Evaluation of Language Fundamentals-4. Pragmatic language was assessed through the parent-report Children’s Communication Checklist-2, covering inappropriate initiations, stereotypical language use, use of conversational context, and nonverbal communication. CDS itself was measured with three parent-rated items from the SWAN scale capturing daydreaming, drowsiness, and apathy, and the ratings showed good agreement with independent teacher reports.

The initial results looked striking. After adjusting for age and sex, CDS was significantly associated with pragmatic language in children with ADHD, with a large effect: the more a child daydreamed and drifted, the worse the parent-rated pragmatic communication (β = -0.51, p = .001). In the neurotypical children, the pattern differed: CDS was instead linked to core language, with a medium effect (β = -0.34, p = .04). The group difference on the pragmatic language link was statistically significant (χ²(1) = 4.44, p = .04), suggesting that the CDS-pragmatics relationship was genuinely stronger in ADHD. Neither group showed any association between CDS and narrative coherence, so the ability to tell a coherent story appeared untouched by the dreamy syndrome.

Then came the twist. Because CDS and ADHD inattention overlap substantially, the researchers ran a sensitivity analysis adding inattention as a covariate. The headline findings dissolved. The CDS-pragmatic language association in the ADHD group was no longer significant (β = -0.26, p = .08), the CDS-core language association in neurotypical children vanished, and the between-group difference on pragmatics ceased to be significant. In other words, the apparent CDS-language link may largely reflect variance shared with ordinary inattention, which is itself independently associated with language problems. The authors are careful to note the flip side: because CDS and inattention share so much variance, statistically controlling for inattention may strip away variance that is genuinely part of the CDS construct, a risk of overadjustment analogous to the long-standing debate about controlling for IQ in ADHD research. Previous studies of CDS and language did not control for inattention at all, so there is currently no way to know whether their findings would have survived the same test.

The study is explicitly exploratory and carries real limitations that the authors acknowledge candidly. The sample is modest, limiting power to detect small effects or subtle group differences, and the design is cross-sectional, so causal direction cannot be established. All three key constructs, CDS, inattention, and pragmatic language, were rated by parents, raising the possibility of same-rater bias, although teacher ratings collected for a subset of children showed acceptable agreement; pandemic disruptions meant teacher questionnaires could not serve as full independent measures. The ADHD group contained far more boys than girls, and internalizing symptoms such as anxiety, known to relate to both CDS and language, were not controlled. Given that this is, to the authors’ knowledge, the only study to date on CDS and language in children with ADHD, replication in larger, independent samples is essential.

Even so, the clinical implications of confirming such a link could be substantial. Pragmatic language difficulties appear to worsen the social impairments seen in children with ADHD, and language problems in this population remain under-identified. If CDS were shown to specifically predict pragmatic problems, the presence of dreamy, disengaged symptoms during a clinical assessment might prompt clinicians to screen for social communication difficulties, and vice versa. Support programs targeting CDS or inattention might then be paired with social communication interventions. The Danish team proposes that future work use structural equation modelling to establish the discriminant validity of CDS and inattention and quantify how much unique variance each contributes to pragmatic language. Longitudinal designs tracking language development over time, and multi-informant or performance-based measures rather than parent reports alone, would help determine whether the drifting, daydreaming mind carries its own linguistic signature, or whether what we are seeing is simply inattention wearing a different face.

Subject of Research: The association between cognitive disengagement syndrome and language abilities in children with and without ADHD

Article Title: The association between cognitive disengagement syndrome and language in children with attention-deficit/hyperactivity disorder

Article References: Jepsen, I., Brynskov, C., Rask, C. U., de López, K. J., Thomsen, P. H., & Lambek, R. (2026). The association between cognitive disengagement syndrome and language in children with attention-deficit/hyperactivity disorder. Frontiers in Psychiatry, 17, Article 1965712. https://doi.org/10.3389/fpsyt.2026.1965712

Image Credits: AI Generated

DOI: 10.3389/fpsyt.2026.1965712

Keywords: ADHD, cognitive disengagement syndrome, pragmatic language, inattention, children, language disorder, narrative coherence, core language, parent ratings, child psychiatry, social communication, cross-sectional study

Selenium is an essential micronutrient that the human body incorporates into a family of proteins known as selenoproteins. These proteins perform a remarkable range of biochemical duties, including antioxidant defense, thyroid hormone metabolism, and immune regulation. The brain is particularly dependent on this system because neural tissue consumes a disproportionate share of the body’s oxygen and generates a steady stream of reactive oxygen species as a byproduct of its relentless metabolic activity. When selenium is scarce, the antioxidant capacity of developing neurons may be compromised at precisely the moment when the brain is wiring itself at its most furious pace. Deficiency has also been linked in animal studies to alterations in neurotransmitter systems, including dopaminergic and serotonergic pathways, which are central to attention regulation and impulse control. This biological plausibility is what motivated the research team to ask whether a mother’s selenium status during pregnancy leaves a measurable trace in her child’s behavior years later.

The study drew on a well-established cohort in Bhaktapur, a city in the Kathmandu Valley where the research group has conducted nutrition studies for more than a decade. In total, 720 mother-infant dyads were enrolled, and maternal plasma selenium concentrations were measured in blood samples taken early in pregnancy. This timing matters. The first trimester and early second trimester are periods of rapid neural tube formation, neuronal proliferation, and the beginnings of synaptic architecture, so any nutritional insult during this window could theoretically have outsized consequences. The researchers then waited, quite literally, for the children to grow. When the children reached four years of age, their mental health was assessed using a parent-reported questionnaire called the Strengths and Difficulties Questionnaire, or SDQ, in its Nepalese version.

The SDQ is one of the most widely used brief behavioral screening instruments in the world. It asks parents to rate their child on a series of attributes that cluster into five subscales: emotional symptoms, conduct problems, hyperactivity-inattention, peer relationship problems, and prosocial behavior. Because the questionnaire had not previously been validated in this specific Nepalese preschool population, the team took the methodologically important step of testing whether the original five-factor structure actually held up in their data. Using confirmatory factor analysis, a statistical technique that evaluates how well observed responses map onto hypothesized underlying dimensions, they found that the five-factor model fit the data well after some modifications. The comparative fit index reached 0.967, comfortably above conventional thresholds, while the root mean square error of approximation was 0.059, indicating acceptable approximation error. In practical terms, this means the Nepalese version of the parent-rated SDQ can be considered a psychometrically sound tool for assessing preschool mental health in this setting, a contribution that will benefit future research in the region regardless of what the selenium analysis showed.

The average maternal plasma selenium concentration in the cohort was 74.7 micrograms per liter, with a standard deviation of 10.2 micrograms per liter. This figure sits in an interesting zone. It is not low enough to constitute overt deficiency by most clinical standards, but it is well below the concentrations typically observed in selenium-replete populations in North America and parts of Europe, where means can exceed 100 micrograms per liter. Nepal’s soil is known to be variable in selenium content, and the predominantly cereal-based local diet does not necessarily compensate for that variability. The researchers therefore had genuine reason to suspect that a meaningful fraction of the pregnant women in the cohort might be experiencing suboptimal selenium status during a critical developmental window.

To analyze the relationship between prenatal selenium and child behavior, the team used generalized linear models, examining maternal plasma selenium both as a continuous variable and in categorized forms, including tertiles that divided the sample into thirds of exposure. The children’s SDQ subscale scores served as the outcomes. The headline finding emerged from the tertile analysis: children whose mothers fell in the lowest selenium tertile during pregnancy had significantly higher hyperactivity-inattention scores at age four than children whose mothers were in the middle tertile. The adjusted regression coefficient was 0.329, with a 95 percent confidence interval running from 0.023 to 0.636, meaning the difference was statistically significant but modest in magnitude, and the confidence interval only narrowly excluded the null value of zero.

Crucially, however, the pattern did not behave the way a classic dose-response relationship would. If selenium deficiency were driving hyperactive behavior in a straightforward manner, one might expect the lowest tertile to differ from the middle tertile, and the middle tertile to differ from the highest, producing a graded gradient across the exposure distribution. Instead, the association appeared only when the lowest and middle tertiles were compared, and no corresponding difference emerged between the middle and highest groups. The analysis of selenium as a continuous variable likewise did not yield significant associations. The authors are appropriately cautious on this point, describing their evidence as limited and noting that the isolated finding lacks the clear exposure-response pattern that would strengthen a causal interpretation. It is possible that a threshold effect exists, in which only selenium status below a certain level matters, but it is equally possible that the result reflects chance, residual confounding, or the many comparisons inherent in examining multiple subscales across multiple exposure parameterizations.

Several other limitations deserve attention. The SDQ was completed by parents, which introduces the possibility of reporting bias, although the validation work strengthens confidence that the instrument measures coherent behavioral dimensions in this population. Plasma selenium reflects relatively recent intake and is influenced by the proteins that transport the element, notably selenoprotein P, so a single early-pregnancy measurement may not perfectly capture selenium status across the full gestational period. The Bhaktapur cohort, while valuable, is drawn from one urbanizing South Asian community, and its selenium distribution differs from that of populations where deficiency is rare, which limits generalizability in both directions. Confounding by overall nutritional quality is also a real concern, since women with low selenium may differ in other dietary and socioeconomic respects that independently influence child development, even though the models adjusted for available covariates.

Still, the study’s strengths are considerable. The prospective design, in which exposure was measured in pregnancy and outcome years later, removes much of the reverse-causation ambiguity that plagues cross-sectional nutrition research. The sample size of 720 dyads is respectable for a birth cohort study of this kind, and the dual contribution of a validated behavioral instrument and a novel exposure-outcome analysis makes the paper useful on two fronts. For selenium biology, the findings add a tentative data point to a small but growing literature linking maternal micronutrient status to child neurobehavioral outcomes, a field that has historically focused more heavily on iron, iodine, and folate. For public health in South Asia, the results raise the possibility that selenium, a mineral rarely included in prenatal supplementation programs, deserves closer scrutiny. The authors themselves conclude that confirmation in further studies is required, and that is the right note: one modest association, in one cohort, at one age, is a signal worth chasing rather than a conclusion worth announcing. Future work with repeated selenium measurements, biomarkers of selenium-dependent enzyme activity, and follow-up into school age will be needed to determine whether the trace element truly shapes the developing mind, or whether this finding dissolves under the weight of replication.

Subject of Research: The association between prenatal maternal selenium concentration and mental health outcomes in four-year-old children in a Nepalese mother-child cohort study.

Article Title: The association between prenatal maternal selenium concentration and mental health in early childhood, a mother-child cohort study

Article References: Ranjitkar, S., Kvestad, I., Chandyo, R. K., Bakken, K. S., Ulak, M., Strand, T. A., Huber, S., Averina, M., & Hysing, M. (2026). The association between prenatal maternal selenium concentration and mental health in early childhood, a mother-child cohort study. PLOS One, 21(10), e0360527. https://doi.org/10.1371/journal.pone.0360527

Image Credits: AI Generated

DOI: 10.1371/journal.pone.0360527

Keywords: selenium, prenatal nutrition, child mental health, hyperactivity, inattention, Nepal, birth cohort, Strengths and Difficulties Questionnaire, micronutrients, neurodevelopment, pregnancy, PLOS One

The study drew on the Adolescent Brain Cognitive Development Study, or ABCD, the largest long-term study of brain development and child health in the United States. From this cohort the researchers analyzed data from 6,001 children, combining each child’s genome with multimodal magnetic resonance imaging and detailed behavioral assessments. The genetic measure at the heart of the work is the polygenic risk score, a single number that aggregates the small effects of thousands of common genetic variants spread across the genome. Individually, these variants contribute almost nothing; summed together, they capture a meaningful slice of inherited liability. Polygenic risk scores for ADHD have previously been shown to predict attention problems in population samples and to relate to white matter microstructure and subcortical connectivity, but earlier efforts typically examined one imaging modality at a time, leaving the joint structure-function picture incomplete.

To overcome that limitation, the team deployed a supervised multimodal fusion framework called MCCAR, a method designed to find patterns that covary together across different types of brain data while remaining anchored to an external variable of interest, in this case the ADHD polygenic risk score. Rather than asking which brain regions differ between children with and without an ADHD diagnosis, the approach asks a subtler question: which coordinated combinations of brain features, spanning functional activity and gray matter volume, vary in step with inherited genetic risk across the entire population? This genetically anchored strategy is powerful because it does not depend on diagnostic categories, which are themselves noisy and heterogeneous, and because it can detect risk-related brain organization in children who may never meet clinical criteria for the disorder.

The signatures that emerged were strikingly concentrated in two systems long implicated in ADHD neurobiology. The first comprises hubs of the cognitive control network, including prefrontal regions that govern attention, planning, impulse inhibition and the flexible allocation of mental resources. Decades of lesion studies, pharmacology and functional imaging have established that catecholamines, particularly dopamine and norepinephrine, tune the gain of dorsolateral prefrontal circuits, and that stimulant medications act on precisely these systems. The second set of regions lies in the midbrain, in nuclei that include the ventral tegmental area and neighboring dopaminergic cell groups, the source neurons that manufacture and project dopamine to the striatum and prefrontal cortex. Crucially, the genetic risk signal was expressed in both directions of brain organization: the affected regions showed aberrations in functional activity, the moment-to-moment fluctuations measured by resting-state fMRI, and in gray matter volume, the structural tissue measure derived from anatomical scans.

Reproducibility, the perennial Achilles heel of brain-wide association studies, received unusually rigorous treatment. A landmark 2022 analysis in Nature showed that many celebrated brain-behavior correlations collapse when sample sizes fall below thousands of participants, fueling skepticism about small neuroimaging findings. The new study confronted this problem head-on. The researchers confirmed that their identified signatures held up across ancestry-defined subsamples and across sex-stratified groups, demonstrating that the patterns were not artifacts of population structure or of the genetic differences between demographic strata that can contaminate polygenic score analyses. This kind of internal replication, performed within a single large cohort but across independent strata, provides a level of confidence that single-split analyses rarely achieve, and it addresses one of the most common criticisms leveled at imaging genetics research.

Specificity was tested with equal care. Psychiatric disorders are genetically entangled: genome-wide analyses have revealed substantial sharing of common variant liability among ADHD, autism, depression, bipolar disorder and schizophrenia, which means a brain signature tied to ADHD genes might plausibly also track risk for related conditions. To rule this out, the team compared their ADHD polygenic risk-associated brain pattern against data spanning eleven psychiatric disorders. The signature proved highly specific to ADHD, distinguishing it from the multimodal patterns associated with the other conditions. That result matters for the emerging transdiagnostic framework in psychiatry, which emphasizes dimensions and shared mechanisms over diagnostic silos. The findings suggest that while some neural features may be shared across neurodevelopmental conditions, the circuit pattern coupled to ADHD’s inherited risk is distinctive enough to serve as a disorder-anchored marker.

The final and arguably most consequential test was predictive. If a genetically informed brain signature truly forms part of the biological pathway from genes to symptoms, it should carry information about behavior. Across the discovery cohort, the signature robustly predicted scores on the two cardinal behavioral phenotypes of ADHD, inattention and hyperactivity. The team then took the pattern derived in ABCD and applied it to the independent ADHD-200 cohort, a publicly available multisite dataset assembled from a completely different set of scanners, protocols and participants. The predictive relationship held, underscoring that the brain signature is not a quirk of one dataset but a generalizable neural correlate of ADHD’s behavioral traits. This discovery-to-validation arc, spanning two independent cohorts, is exactly the structure that critics of neuroimaging psychiatry have demanded for years.

Mechanistically, the convergence on midbrain dopaminergic nuclei and cognitive control hubs reads like a vindication of the disorder’s oldest neurobiological hypothesis. Since the 1950s, the paradoxical calming effect of stimulants in hyperactive children has pointed toward dopamine, and modern work has refined that idea into models in which altered dopaminergic signaling disrupts the prefrontal circuits that normally filter distractions, suppress premature responses and sustain goal-directed effort. The new study adds a genetic bridge: common variants that collectively raise ADHD liability appear to leave their imprint on exactly the structures that produce and respond to dopamine, and on the control networks those structures regulate. The study’s authors frame the work as offering key insights into developing genetically anchored, ADHD-specific brain signatures with transdiagnostic potential, bridging polygenic risk to symptomatology.

The practical implications are still some distance away, but they are coming into view. Polygenic risk scores for ADHD currently explain only a modest fraction of variance, and no responsible clinician will diagnose a child from a genome and a brain scan. Yet markers of this kind could eventually help stratify children before symptoms fully emerge, identify those most likely to benefit from specific interventions, and provide objective endpoints for treatment trials. The researchers have made their tools available: the core fusion code of MCCAR has been released and integrated into the public Fusion ICA Toolbox, and the analysis scripts supporting the study are posted on GitHub, lowering the barrier for other teams to replicate and extend the approach. Genotype, imaging and behavioral data from ABCD remain accessible through the NIMH Data Archive, and the ADHD-200 data are openly available, so the entire analytical chain can be independently audited.

What the study ultimately delivers is a proof of concept that the longest-standing puzzle in ADHD biology, the link between inherited risk and observable behavior, can be traced through the brain with methods rigorous enough to survive modern reproducibility standards. By fusing genetics and multimodal imaging under a supervised framework, and by validating across ancestries, sexes, diagnostic categories and independent cohorts, the work sketches a concrete biological itinerary: from thousands of common variants, to dopaminergic midbrain nuclei and prefrontal control hubs, to the everyday struggles with attention and impulse that define the condition. For a disorder that affects millions of children worldwide and has too often been dismissed as either overdiagnosed or underexplained, that itinerary is more than a technical achievement. It is a step toward grounding ADHD in measurable biology, on the disorder’s own terms.

Subject of Research: Linking ADHD polygenic risk to reproducible multimodal neuroimaging signatures that predict core behavioral phenotypes

Article Title: ADHD polygenic risk converges on reproducible neuroimaging signatures predicting core behavioral phenotypes

Article References: Shan, X., Xu, M., Zhi, D., Qi, S., Jiang, R., Fu, Z., Stevens, M., Pearlson, G., & Sui, J. (2026). ADHD polygenic risk converges on reproducible neuroimaging signatures predicting core behavioral phenotypes. Nature Mental Health. https://doi.org/10.1038/s44220-026-00720-7

Image Credits: AI Generated

DOI: 10.1038/s44220-026-00720-7

Keywords: ADHD, polygenic risk score, neuroimaging, multimodal fusion, ABCD study, dopamine, cognitive control network, gray matter volume, inattention, hyperactivity, ADHD-200, reproducibility

The research team, led by Matilda A. Frick, recruited participants through advertisements on Facebook and Instagram, a deliberate choice given that roughly 90 percent of young Swedish women use social media. To qualify, candidates had to score above the clinical cut-off on the Adult ADHD Self-Report Scale Adolescent version, a validated screening instrument, while excluding anyone with a prior ADHD assessment, a formal diagnosis, autism, or high levels of depression, alcohol use, or drug use. From 55 initial registrations, careful screening narrowed the pool to 15 women, all living in the greater Stockholm area, most of them students. On average, they had considered themselves to have ADHD for about six years.

The interviews, each lasting about an hour and conducted at Stockholm University, were analyzed using the six-step inductive thematic method developed by Braun and Clarke. Coders generated roughly 1,500 initial codes, which were progressively condensed into six themes: three describing how the women understood their self-diagnosed ADHD, and three describing how they saw themselves. A saturation analysis using four reserved interviews produced no new themes, suggesting the data had been thoroughly mined.

The first and most fundamental theme was recognition. The women described identifying with ADHD symptoms across multiple domains of daily life: chronic inattention that derailed lectures and conversations, disorganization and procrastination that turned simple tasks into mountains, and a relentless inner restlessness. One participant described her mind as if “there are sirens and alarms and everything going on at the same time.” Another explained that her emotions felt like they had been plugged into an amplifier, so that sadness became devastation and happiness approached euphoria. Many also identified strengths, including the capacity for hyperfocus, creativity, and an infectious energy that friends appreciated.

Yet recognition came with a painful corollary: invisibility. Because these women predominantly displayed the inattentive presentation of ADHD rather than disruptive hyperactivity, they had rarely been flagged by teachers or parents. Several had excelled academically, and that very success worked against them. Some were told outright by parents or healthcare contacts that they could not have ADHD because they performed too well in school. In response, they developed elaborate compensatory strategies: detailed to-do lists, rigid routines, learned social scripts acquired from YouTube tutorials. These strategies allowed them to pass as neurotypical, but at a steep cost in time, energy, and psychological strain. The researchers frame this as a form of camouflaging, a behavior well documented in neurodivergent girls and known to predict anxiety and depression.

Perhaps the most striking finding was the women’s ambivalence toward formal assessment. Even when evaluation was offered, some could not bring themselves to take the first step. One participant described an assessment link sitting unopened in her email for five years. The barriers were both structural and psychological: long waiting lists, the cost of private care, and, above all, a gnawing fear of not qualifying. Several worried they were “functioning too well” to meet diagnostic criteria, since formal ADHD diagnosis requires demonstrable functional impairment. The researchers highlight a paradox here: these women were high-functioning only through extraordinary compensatory effort, yet the diagnostic framework does not account for the sheer force required to maintain that appearance. The result was a kind of limbo, experiencing real psychological distress while believing they did not deserve help.

The second set of themes revealed how deeply gendered expectations were woven into these women’s self-perceptions. The participants described intense pressure to be the “good girl”: polite, organized, academically successful, and socially graceful. Many experienced the transition to high school, when academic demands outstripped their compensatory strategies, as an identity crisis. They perceived that their brothers and male peers faced weaker expectations of achievement and compliance, and several had been labeled simply as “sensitive” in ways they doubted a man would have been. The researchers argue that these unreasonably high demands on women may contribute to medicalization, the societal tendency to reinterpret everyday struggles and emotional states as medical problems. If the norm is to perform at the top, failures may be attributed to psychiatric diagnoses, and ADHD, now a popularized and low-stigma label in Sweden, can serve as a ready explanation for difficulties that might have other origins.

Social relationships emerged as another battleground. The women described studying how friendships work, mimicking others’ behavior, and adopting different personas in different contexts, a strategy one participant described as “just showing a certain part of me and hiding the other part.” Symptoms such as forgetting appointments or canceling plans frayed relationships, leaving many with numerous superficial acquaintances but few close friends. Long-standing friendships with people who already knew and accepted their scattered nature provided rare islands of security. Beneath all of this ran a persistent feeling of being different, of not fitting in without understanding why, which had eroded self-esteem and, for some, brought them to the edge of dropping out of university.

Against this backdrop, the researchers conclude that self-diagnosis played a genuinely constructive role in identity development. Like a formal diagnosis, it offered validation of difficult experiences, allowing the women to reframe their struggles as a different way of functioning rather than personal failure. “It’s a way for me to get to know myself and accept myself,” one participant said. Notably, most did not broadcast their self-diagnosis or use it to seek understanding from others, contrasting with the image of ADHD influencers spreading the label online. The researchers speculate that the women did not consider self-diagnosis as legitimate as a clinical one, or that their difficulties were rooted less in medicine than in society’s gendered constructions of how women should be and perform.

The study carries important caveats. The sample consisted of relatively high-functioning women recruited through social media, and may not represent all women who self-diagnose. The authors call for longitudinal and quantitative follow-ups, research on men and other age groups, and attention to hormonal influences on symptom presentation in women. Still, the message is clear and timely: as ADHD diagnoses rise sharply among adult women across Western countries, self-diagnosis appears to be both a symptom of underrecognition and a coping mechanism for those who fly under the radar. Understanding it, the researchers argue, requires looking not just inside the clinic but at the broader social forces, gender norms, academic pressure, and access barriers, that shape who gets seen, who gets diagnosed, and who is left to fend for themselves.

Subject of Research: Self-diagnosed ADHD and identity formation in young women

Article Title: Flying under the radar: a qualitative examination of self-diagnosed ADHD and identity formation in young women

Article References: Frick, M. A., Cederlid, C., Hegdal, L., & Grimell, J. (2026). Flying under the radar: a qualitative examination of self-diagnosed ADHD and identity formation in young women. BMC Psychology, 14(1), Article 1435. https://doi.org/10.1186/s40359-026-05732-7

Image Credits: AI Generated

DOI: 10.1186/s40359-026-05732-7

Keywords: ADHD, self-diagnosis, young women, identity formation, qualitative research, thematic analysis, gender norms, medicalization, camouflaging, inattention, mental health, BMC Psychology