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Research dossier 07

Autism Identification: Race, Gender & Diagnostic Timing

Changing identification patterns, barriers to recognition, and the differences between population studies, community perspectives, and an individual history.

Source-checked adaptationUpdated October 24, 2026Version 1.0
Reality and fiction, clearly marked. Evidence sections describe the sources; game sections describe authored characters and events. Source-checked does not mean reviewed by a clinician or theologian. Read the evidence-status guide.
RESEARCH NOTES

01 Research question

What do the cited sources show about autism identification, and how far can those findings be applied across populations and time?

RESEARCH NOTES

02 Overview

Research describes barriers to recognition and changing identification patterns. Findings depend on the population and period. Population data do not establish the cause of a particular individual’s late diagnosis. [1] [2]

REAL-WORLD · EVIDENCE

03 What the studies found

Pham and colleagues (2022). This EHR study examined eight-year-old patients across participating health systems during 2017–2021. Diagnosis ages were broadly consistent across racial and ethnic groups in that sample, and identification patterns changed during the study period. It should not be cited as proof that Black children in every setting are diagnosed later. [1]

Shaw and colleagues (2025). The CDC report covers children aged four and eight in 2022 across 16 U.S. surveillance sites. It describes identification patterns and variation between sites. Its child surveillance cohorts are not a study of late diagnosis among Black adult women. [2]

RESEARCH NOTES

04 Community perspectives

Ayanna Sanaa Davis describes experiences of Black autistic women being overlooked. This is a valuable attributed community perspective, distinct from a population estimate or causal study. The Autism Speaks article is additional advocacy/public education context. [3] [4]

RESEARCH NOTES

05 Samples, cohorts & limits

EHR participation, access to care, geography, surveillance methods, age, and historical period affect interpretation. Evidence about race alone or about children generally cannot automatically establish a finding specific to Black girls or adult women. The cited contemporary cohorts also differ from the childhood cohort of a fictional 43-year-old character.

RESEARCH NOTES

06 Using the evidence carefully

Report each study’s actual result and limitations. Do not combine changing identification rates with a blanket assertion of later diagnosis, and do not treat an individual’s talent as a replacement for psychological assessment.

RESEARCH NOTES

07 Sources & further reading

  1. Racial and Ethnic Differences in Rates and Age of Diagnosis of Autism Spectrum Disorder
    Hoangmai H. Pham, Neil Sandberg, Jeff Trinkl & Johnston Thayer · 2022 · JAMA Network Open 5(10):e2239604
    Original EHR cohort research · DOI 10.1001/jamanetworkopen.2022.39604
  2. Prevalence and Early Identification of Autism Spectrum Disorder Among Children Aged 4 and 8 Years — ADDM Network, 16 Sites, United States, 2022
    Kelly A. Shaw and colleagues · CDC · April 17, 2025 · MMWR 74(2):1–22
    Primary surveillance report · Data year 2022
  3. Black Autistic Women
    Ayanna Sanaa Davis · Autistic Adults NYC · Accessed October 24, 2026
    Attributed first-person/community perspective
  4. Autism in the Black community
    Autism Speaks · Accessed October 24, 2026
    Advocacy/public education article
RESEARCH NOTES

08 Research record

Adapted from the reviewed Dr. Naomi Brooks canonical research master. Website adaptation: October 24, 2026. Version 1.0. Source types and cohort limits are preserved; character-specific interpretation appears separately.

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Dr. Naomi Brooks

Character · Artwork forthcoming

Her mathematical ability prompted further attention; a separate psychological assessment identified autism in her late teens. Population studies do not establish her individual diagnostic history.