Extending the Minority Stress Model to Understand Mental Health Problems Experienced by the Autistic Population

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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Botha, M. & Frost, D. M. (2018). Extending the Minority Stress Model to Understand Mental Health Problems Experienced by the Autistic Population. Society and Mental Health, 10(1), 20-34. https://doi.org/10.1177/2156869318804297

Publication date: 12 Oct 2018 Added to AutiHub: 5 Jul 2026 Type: Article Article language: English
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Authors

Publication authors
2
Publication authors identified as autistic
1 / 2 (50.0%)
  1. Monique Botha *
  2. David M. Frost

Abstract

Research into autism and mental health has traditionally associated poor mental health and autism as inevitably linked. Other possible explanations for mental health problems among autistic populations have received little attention. As evidenced by the minority disability movement, autism is increasingly being considered part of the identities of autistic people. Autistic individuals thus constitute an identity-based minority and may be exposed to excess social stress as a result of disadvantaged and stigmatized social status. The authors test the utility of the minority stress model as an explanation for the experience of mental health problems within a sample of high-functioning autistic individuals ( n = 111). Minority stressors including everyday discrimination, internalized stigma, and concealment significantly predicted poorer mental health, despite controlling for general stress exposure. These results indicate the potential utility of minority stress in explaining increased mental health problems in autistic populations. Implications for research and clinical applications are discussed.

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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: 2 Oct 2026 01:39.

Cited references
101
With a DOI
75
Without a DOI, from raw bibliography text
20
3 / 101 (3.0%) cited references include at least one author identified as autistic.
References with data to complete
16 / 101 (15.8%)
References with detected author names
92 / 101 (91.1%)
Without detected author names
9
Without a structured title
14
Without a stable identifier
20
References with raw author names still to review
7
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
212
From DOI or external metadata
210
From validated raw bibliography text
2
Raw names already validated
2
Raw names still to review
7
30 / 212 (14.2%) names are linked to an author already present in AutiHub. 182 / 212 (85.8%) names are not yet linked.
Names linked to a person identified as autistic
3 / 212 (1.4%)
Calculated across all author names detected in the cited bibliography. Among names linked to an author already present in AutiHub: 3 / 30 (10.0%). Distinct people identified as autistic: 3 / 196 (1.5%).
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