Mapping Clinical Diagnoses Associated With Neurodiversity and Neurodivergence in Mental Health Research

This publication is included in the Autistic Autism Scholarship Project. one author of this publication is identified as autistic in the project.

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Bellato, A., Long, M. R. P., Barilà, M., Frigeri, G., Rizzo, L., Serafino, S., Bilbow, A., Hovén, N., Baranger, A., Cirrincione, P., Ke, Y., Langdown, C., Li, J., Lipscombe, S., Ribeiro, J., Sgariboldi, E., Chellappa, S. L., Michelini, G., Margari, L.,..., & Cortese, S. (2026). Mapping Clinical Diagnoses Associated With Neurodiversity and Neurodivergence in Mental Health Research. JAMA Psychiatry. https://doi.org/10.1001/jamapsychiatry.2026.2851

Publication date: 16 Sep 2026 Added to AutiHub: 26 Oct 2026 Type: Article Article language: English

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Authors

Publication authors
22
Publication authors identified as autistic
1 / 22 (4.5%)

Abstract

Importance The terms neurodivergence and neurodiversity are increasingly used across mental health and broader clinical literature, as well as in clinical practice, clinical service commissioning, and policy contexts, despite their lack of clinical and diagnostic specificity. Objective To quantitively map clinical diagnoses associated with the terms neurodivergence and neurodiversity in the empirical mental health literature through a scoping review conducted with experts with lived experience. Evidence Review Following JBI methods and the PRISMA extension for scoping reviews, PubMed/Medline, Web of Science, Embase, and PsycINFO were searched up to August 1, 2025, and identified 134 studies including 151 134 participants that recruited participants defined as neurodivergent or neurodiverse. Findings Participants were primarily identified through self-reported diagnoses (n = 56 [41.8%]) or self-identification (n = 50 [37.3%]). A heterogeneous range of diagnoses was associated with neurodivergence and neurodiversity, most commonly autism (n = 92 [68.7%]), followed by ADHD (n = 86 [64.2%]), dyslexia (n = 44 [32.8%]), dyspraxia (n = 21 [15.7%]), anxiety disorder (n = 20 [14.9%]), and dyscalculia (n = 17 [12.7%]). Notably, 29 studies (21.6%) did not specify any clinical diagnoses. Conclusions and relevance While neurodivergence and neurodiversity are valuable for capturing lived experience, their lack of specificity may introduce substantial heterogeneity in research focused on clinical categories. These findings suggest prioritizing precise diagnostic descriptors in clinical practice and research involving clinically defined conditions, while reserving neurodivergent for studies and contexts focused on self-identification and identity.

Bibliography cited by this reference

Cited references are imported from external metadata sources when they are available. The list may be partial.

Cited bibliography overview

These indicators describe the bibliography cited by this publication. An author name is counted each time it appears in one cited reference, so the same person can be counted more than once. Names not yet linked to an author already present in AutiHub are treated as unknown, not as non-autistic. Last computed: 27 Oct 2026 06:41.

Cited references
35
With a DOI
31
Without a DOI, from raw bibliography text
4
12 / 35 (34.3%) cited references include at least one author identified as autistic.
References with data to complete
1 / 35 (2.9%)
References with detected author names
34 / 35 (97.1%)
Without detected author names
1
Without a structured title
1
Without a stable identifier
4
References with raw author names still to review
1
References with external metadata lookup issues
0
These indicators apply to cited references displayed on this page, after technical duplicates have been merged. A reference without a DOI can still support author statistics when a title and author names are available.
Author names detected in the cited bibliography
226
From DOI or external metadata
226
From validated raw bibliography text
0
Raw names already validated
0
Raw names still to review
1
84 / 226 (37.2%) names are linked to an author already present in AutiHub. 142 / 226 (62.8%) names are not yet linked.
Names linked to a person identified as autistic
28 / 226 (12.4%)
Calculated across all author names detected in the cited bibliography. Among names linked to an author already present in AutiHub: 28 / 84 (33.3%). Distinct people identified as autistic: 21 / 200 (10.5%).
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