Why Women With ADHD and Autism Are Still Being Missed: What 30 Years of Peer-Reviewed Research Actually Shows
About This Series
The April Research Vlog is a 30-day daily video series covering peer-reviewed academic research on autism, ADHD, and neurodivergence. Every video goes into a published study or cluster of studies: what the researchers did, what they found, how credible the source is, and why it matters. This blog post summarises Days 1 to 4. New content publishes daily on YouTube and weekly as a blog summary every Saturday.
The Gap That Changed Everything
Almost everything we know about ADHD, including the diagnostic criteria, the symptom checklists, the treatment guidelines, and the foundational research, was built almost entirely on the study of boys and men. Not because researchers decided women did not matter. But because the assumption baked into decades of research was that ADHD in a boy and ADHD in a girl looked essentially the same. That assumption was wrong. And the cost has been enormous.
This blog post synthesises four days of peer-reviewed research from my April Research Vlog series. Each day of the series goes deep into a specific paper or cluster of papers. Here, I have pulled the threads together into a single, comprehensive picture of what we know, what we are only beginning to understand, and what the research still gets wrong.
The sources covered across Days 1 to 4 are: Krebs and Donnellan-Fernandez (2025) in BMC Women’s Health; a structured debate from Eccles, Weir, Santhouse, and Brugha (2026) in the BMJ; a commentary by Bunford and Nagy (2026) in The Lancet Regional Health, Europe; Tassone and colleagues (2026) in Research in Autism; Anunciacao and colleagues (2026) in Advances in Autism; and the landmark work of Hinshaw and colleagues (2022) in the Journal of Child Psychology and Psychiatry.
What Is the Research Gap in ADHD and Autism Diagnosis for Women?
The research gap refers to the systematic under-representation of women and girls in foundational ADHD and autism research. Because early diagnostic frameworks were built on studies of predominantly male populations, the criteria used to identify these conditions have historically been calibrated to male presentations. Women who do not fit those presentations have been, and continue to be, missed.
An integrative literature review published in BMC Women’s Health in 2025 by Krebs and Donnellan-Fernandez provides one of the most comprehensive summaries currently available of what the evidence shows about ADHD across women’s full lifespan. The review examines how ADHD presents in girls and women, how it is diagnosed, how it is treated, and what happens when it is not identified. The journal is published by BioMed Central, part of Springer Nature, and carries solid standing in women’s health research.
The review makes clear that the gap is not abstract. It translates into decades of women being told they were disorganised, dramatic, anxious, or simply not trying hard enough. It translates into years spent seeking help for the downstream effects of undiagnosed ADHD, including depression, burnout, and relationship breakdown, without anyone identifying the source. The research gap has had direct, measurable consequences in real lives.
Why Are Girls With ADHD Diagnosed Later Than Boys?
Girls with ADHD are consistently diagnosed later than boys because they are more likely to present with the inattentive subtype rather than the hyperactive-impulsive subtype. Inattentive ADHD is quieter. It presents as daydreaming, difficulty organising, losing track of conversations, and forgetting things. It does not present as a child bouncing off walls. Because the cultural and clinical picture of ADHD was built on the hyperactive presentation, girls whose ADHD looked different were, and continue to be, systematically missed.
The Krebs and Donnellan-Fernandez (2025) review draws on work by Hinshaw and colleagues from the Berkeley Girls with ADHD Longitudinal Study, which followed a cohort of girls with ADHD from childhood into their mid-twenties. By that point, women who had ADHD as girls were significantly more likely than their neurotypical peers to have experienced depression, anxiety, self-harm, academic failure, relationship difficulties, and employment instability. These outcomes were not the inevitable result of ADHD itself. They were the downstream consequences of being undiagnosed or undertreated, of accumulating years of internalising, masking, and overcompensating.
Every year a girl goes without an accurate diagnosis is a year she is developing strategies to cope. Those strategies are exhausting. They are unsustainable. And they eventually fail.
Is ADHD Really Being Overdiagnosed? What Does the Evidence Actually Say?
The overdiagnosis argument, the claim that neurodivergent conditions are being handed out too freely and that diagnostic criteria have been broadened until anyone who is a little scattered or introverted qualifies, is one of the most persistent dismissals faced by late-diagnosed people. It is also a claim that the research does not straightforwardly support.
A structured debate published in the BMJ in 2026 by Eccles, Weir, Santhouse, and Brugha directly addresses this question. The BMJ, or British Medical Journal, is one of the most prestigious medical journals in the world. The Maudsley Debate format presents two expert teams arguing opposing positions on a clinically contested question.
The team arguing that rising diagnoses reflect better recognition of people who were always present but never identified points to striking data. In the United Kingdom, autism diagnoses among females increased by 1,500 percent between 1998 and 2018. The male-to-female ratio in autism diagnosis has been narrowing consistently over time. The researchers argue this does not reflect more girls becoming autistic. It reflects diagnostic awareness and clinical tools finally beginning to catch up with the reality that autism presents differently in women.
They also note that in community mental health settings, approximately one in five patients is estimated to be autistic, and nearly half have ADHD. Among young people in crisis, autism or ADHD is present in around one third. The cost of undiagnosed ADHD and autism to UK society alone is estimated at seventeen billion pounds per year.
The counterargument from Santhouse and Brugha is worth taking seriously. They point to broadening diagnostic criteria over time, policy shifts, and the structural reality that in many systems, a diagnosis has become a gateway to accessing support in education, employment, and healthcare. That creates incentives beyond pure clinical need. They cite data suggesting that 90 percent of adults newly diagnosed with ADHD had no documented childhood history of the condition.
The team arguing for better recognition counters that this almost certainly reflects documentation gaps rather than the actual absence of childhood symptoms. If girls with ADHD are consistently missed in childhood, of course their adult diagnoses will appear to lack a childhood paper trail. The two arguments are not as cleanly opposed as they initially seem.
A commentary by Bunford and Nagy, published in The Lancet Regional Health, Europe in 2026, adds an important data point. In the United Kingdom, ADHD medication use among adults aged 25 and older increased fifteen-fold among males and twenty-fold among females between 2010 and 2023. And yet, even in the highest-treating country in their dataset, an estimated 80 percent of people with ADHD diagnoses remained untreated. The claim that there is a widespread overdiagnosis problem is difficult to sustain in a landscape where the majority of diagnosed people are not receiving any treatment at all.
The more productive question the BMJ debate surfaces is not whether diagnostic numbers are rising. They are. The more productive question is whether our systems are equipped to support the people being identified. That is a very different conversation from the sceptical dismissal that late-diagnosed adults routinely face.
Why Does Autism Masking Make Diagnosis So Hard?
Masking, or camouflaging, refers to the practice of concealing or suppressing autistic traits in order to appear neurotypical. It includes things like scripting conversations in advance, copying social behaviours observed in others, suppressing stimming, and performing a version of social competence that does not reflect internal experience. For many autistic people, particularly women, masking becomes so habitual that it operates below the level of conscious choice.
A mixed-methods study by Tassone and colleagues, published in 2026 in Research in Autism, which is a peer-reviewed Elsevier journal, examined the gap between what clinicians report doing during autism assessments and what autistic adults recall being asked. The findings are striking.
73.2 percent of clinicians reported that they routinely assess for camouflaging during autism assessments. Only 32.4 percent of autistic adults recalled being asked about it. That is a gap of more than 40 percentage points. When it came to whether camouflaging was discussed during the assessment process itself, 73.2 percent of clinicians said yes. 19.1 percent of autistic adults said yes. During diagnostic feedback, 87.8 percent of clinicians reported discussing camouflaging. 16.2 percent of autistic adults recalled it happening.
There are a few possible explanations for this gap. Clinicians may be asking about camouflaging in ways that autistic people do not recognise as being questions about camouflaging, using different language or framing the topic differently. Clinician self-report may not accurately reflect what actually happens in practice. Or both may be true simultaneously.
But the finding that struck me most when I read this paper was this: 28 percent of autistic adults described finding it difficult or impossible to stop camouflaging during the assessment itself, even when they actively wanted to. The masking was automatic. It had become so deeply habitual that it could not be switched off in a high-stakes, structured social situation like a clinical assessment.
This matters enormously for a diagnostic system that relies heavily on behavioural observation during a single structured session as a primary source of evidence. If nearly a third of autistic adults cannot reduce their masking in an assessment context even when trying to, then observational evidence from that session will systematically underrepresent the autistic experience. 52.2 percent of autistic adults in this study reported that camouflaging had delayed or prevented their diagnosis.
The study also raised something that does not receive enough attention. A theme the researchers called intersectionality emerged in the qualitative data. Participants described certain racial and gender groups not having received societal permission to simply be themselves, and reported that not seeing themselves reflected in the medical professionals conducting their assessments compounded the pressure to mask. The study’s autistic sample was 78.7 percent White, which limits how far these findings can generalise, but the theme it names is important and demands far more research.
What Does 30 Years of Longitudinal Research Show About ADHD in Girls?
Longitudinal research is rare and exceptionally valuable. Most studies take a snapshot, measuring people at a single point in time and drawing conclusions from that moment. Longitudinal studies follow the same people over years or decades. That means you can actually watch what happens. You can trace cause and effect. You can see trajectories unfold.
The Berkeley Girls with ADHD Longitudinal Study has been running for over 30 years. It is one of the only studies of its kind to follow a substantial cohort of girls with ADHD over that length of time. An Annual Research Review by Stephen Hinshaw and colleagues, published in 2022 in the Journal of Child Psychology and Psychiatry, synthesises decades of findings into a single picture. JCPP is published by the Association for Child and Adolescent Mental Health and is one of the most rigorous peer-reviewed journals in developmental psychopathology. Hinshaw is one of the foremost researchers in this specific area.
The review begins by noting that the prevalence of ADHD in girls is consistently underestimated. Studies that rely on existing formal diagnoses find lower rates in girls. But studies that actively screen the full population, regardless of whether a prior diagnosis exists, find significantly more girls with ADHD traits than formal diagnosis records would suggest. The gap between those two numbers is the gap created by systematic under-identification.
What happens to girls with ADHD as they grow up? By their mid-twenties, women who had ADHD as girls were significantly more likely than their neurotypical peers to have experienced depression, anxiety, self-harm, eating disorders, substance use, academic failure, relationship instability, and employment difficulties. These are not small differences. These are meaningful, consequential gaps in life outcomes.
The critical point the review makes is that these outcomes are not inevitable features of ADHD itself. They are, in substantial part, the downstream consequences of being undiagnosed or inadequately treated. Of spending years developing coping strategies that are unsustainable. Of internalising the narrative that you are lazy, disorganised, or simply not trying hard enough. Of accumulating failures in systems that were never designed with your neurology in mind.
The review also addresses how ADHD presents differently across the lifespan in women. Hormonal shifts including puberty, the menstrual cycle, pregnancy, and perimenopause interact with ADHD symptoms in ways that are only beginning to be studied. Many women describe ADHD symptoms worsening perimenstrually, or changing significantly during perimenopause. The research base on these interactions remains thin.
The paper is direct about its own limitations. Women from lower socioeconomic backgrounds are under-represented. Women from racially and ethnically diverse backgrounds are under-represented. Women with co-occurring autism, the AuDHD profile, are largely absent from the longitudinal literature. The Berkeley cohort itself is predominantly White and from higher socioeconomic backgrounds, which constrains how broadly the findings generalise. Acknowledging those limitations is part of rigorous research practice, and it is worth naming here.
A supporting systematic review by Faheem and colleagues, published in 2022 in the Asian Journal of Psychiatry, draws together 40 studies on gender-based differences in adult ADHD. I note some methodological limitations with this one and use it for descriptive context rather than as a primary evidence source. But the breadth of domains it covers is useful: social functioning, mood regulation, working memory, time perception, and educational and occupational outcomes all show gender-based differences in how ADHD manifests in adults.
What Are Researchers Doing to Improve Diagnosis for Women?
The diagnostic infrastructure is slowly beginning to adapt, though progress is uneven. A study by Anunciacao and colleagues, published in 2026 in Advances in Autism, developed and tested two short autism screening tools for Brazilian adults. One was general. One was specifically designed for women and included items about masking and social camouflaging. The point is not that these tools are the final answer. The point is that researchers are now actively constructing gendered screening instruments because the existing ones were not capturing female presentations.
The BMJ debate similarly calls for a shift from asking whether diagnostic numbers are rising to asking whether systems are equipped to support the people being identified. Better screening tools, better clinician training in how masking presents during assessment, and better awareness of the gender gap in presentation are all active areas of development. But we remain a significant distance from where we need to be.
The Through-Line Across Four Days of Research
The thread connecting all four days of research this week is consistent. ADHD and autism in women are not simply ADHD and autism in men with minor variations. The presentations are different. The diagnostic pathways are different. The life consequences of being missed are different. And the research infrastructure has only recently, and still incompletely, begun to take that seriously.
The research gap is not an abstraction. It is decades of women’s lives. It is the woman told she was dramatic. The girl told she needed to try harder. The adult who spent years treating the symptoms of burnout, anxiety, and relationship breakdown without anyone identifying the source. The person who sat in an assessment room trying to present authentically while years of masking practice made it impossible.
Understanding this gap is the starting point for everything else this series covers. If you know how the gap was created, who it has affected, and why the systems designed to identify neurodivergence have systematically failed women, then the research we look at across the rest of April makes considerably more sense.
