The Associations Between Camouflaging, Autistic Traits, and Mental Health in Nonautistic Adults

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

About the autistic author marker

Somerville, M., MacPherson, S. E., & Fletcher-Watson, S. (2023). The Associations Between Camouflaging, Autistic Traits, and Mental Health in Nonautistic Adults. Autism in Adulthood, 6(1), 106-113. https://doi.org/10.1089/aut.2023.0018

Publication date: 5 Jul 2023 Added to AutiHub: 17 Sep 2026 Type: Article Article language: English

This publication is integrated into AutiHub through:

Authors

Publication authors
3
Publication authors identified as autistic
1 / 3 (33.3%)

Abstract

Background: Camouflaging is frequently reported in autistic people and entails the disguising of autistic traits in social situations. Camouflaging is associated with poor mental health in autistic people. This study examined the manifestation of camouflaging in a nonautistic sample, examining the relationship between autistic traits, self-reported camouflaging, gender, and mental health. Method: In total 110 nonautistic adults completed standardized self-report questionnaires that measured autistic traits, mental health symptoms, and camouflaging behaviors. Hierarchical multiple linear regression models were used to analyze data and examine the unique contributions of autistic traits and camouflaging to mental health. Results: Self-reported autistic traits were associated with increased symptoms of poor mental health. However, autistic traits were not associated with mental health symptoms when controlling for self-reported camouflaging, and self-reported camouflaging predicted increased mental health symptoms over and above the effects of autistic traits. Women had poorer mental health than men in our sample, and in women there was a stronger relationship between camouflaging and mental health than in men. Conclusions: Camouflaging may contribute to poor mental health outcomes in the general population, just as it does for autistic people, to the extent that camouflaging more clearly relates to mental health profile than self-reported autism traits. This suggests camouflaging is an important construct for understanding mental health in general, and for exploring the complex relationship between autism and autistic traits.

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: 20 Sep 2026 01:01.

Cited references
59
With a DOI
51
Without a DOI, from raw bibliography text
8
8 / 59 (13.6%) cited references include at least one author identified as autistic.
References with data to complete
6 / 59 (10.2%)
References with detected author names
57 / 59 (96.6%)
Without detected author names
2
Without a structured title
6
Without a stable identifier
8
References with raw author names still to review
2
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
167
From DOI or external metadata
167
From validated raw bibliography text
0
Raw names already validated
0
Raw names still to review
2
69 / 167 (41.3%) names are linked to an author already present in AutiHub. 98 / 167 (58.7%) names are not yet linked.
Names linked to a person identified as autistic
9 / 167 (5.4%)
Calculated across all author names detected in the cited bibliography. Among names linked to an author already present in AutiHub: 9 / 69 (13.0%). Distinct people identified as autistic: 7 / 144 (4.9%).
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