Evidence map›Paper›PMID 40594310›Full record

ArticleScientific reports2025

Adverse experiences of women with undiagnosed ADHD and the invaluable role of diagnosis.

Eve Holden, Helena Kobayashi-Wood

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Eve Holden *School of Psychology and Neuroscience, University of St Andrews, St Andrews, UK. eh54@st-andrews.ac.uk.ORCID http://orcid.org/0000-0001-8348-2700
Helena Kobayashi-Wood *School of Psychology and Neuroscience, University of St Andrews, St Andrews, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Girls and women are disproportionately affected by delayed diagnoses of attention-deficit/hyperactivity disorder (ADHD), but research on the impact of this is limited. Our study aimed to centre lived experiences of women with late-diagnosed ADHD to increase understanding of the impact of such delays. We employed a mixed methods survey to investigate the perspectives of 28 women with late-diagnosed ADHD. Results starkly demonstrate the criticism and lack of support participants faced from society and medical professionals, illustrating the negative consequences of delayed ADHD diagnosis on quality of life and mental health. Participants commonly reported internalising criticism and described disconcertingly low self-esteem; citing guilt, shame, and negative self-perception due to delayed diagnoses. Participants found diagnosis revelatory, their lives finally making sense; citing healing, improved self-esteem, and life feeling more worth living. The adversities faced from delayed diagnoses were described from early childhood, through adolescence, and adulthood. Participants reflected on 'what could have been', and described grieving the lives they could have led if diagnosed earlier. The negative impacts of missed ADHD diagnosis are broad and span life stages. With potential implications for public health policy, this work highlights the importance of increasing girls' and women's access to ADHD diagnoses to address avoidable detrimental hardship.

Indexed as

Attention Deficit Disorder with HyperactivityDelayed DiagnosisAdolescentAdultChildFemaleHumansMental HealthMiddle AgedQuality of LifeSelf ConceptSurveys and QuestionnairesYoung AdultADHDAttention deficit hyperactivity disorderLate-diagnosisLived experienceNeurodivergenceNeurodivergent women

Identifiers

PMID40594310
PMCPMC12218314

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.