This meta-analysis evaluated the relationship between autistic traits and camouflaging behaviors across a broad population. The study included 16,895 participants drawn from autistic people and general population samples spanning ages 10 to 90. The setting was not reported for the individual studies included in the synthesis. The primary exposure was autistic traits, and the comparator was not reported as a distinct group but rather as the variation within the population. The study design combined observational and quantitative designs to assess associations rather than causation. Funding was not obtained for this specific meta-analysis, and no conflicts of interest were declared.
The primary outcome measured the association between autistic traits and camouflaging. The analysis reported a moderate association with an effect size of 0.34. The 95% confidence interval for this effect size ranged from 0.30 to 0.39. The direction of the association was positive, indicating that higher levels of autistic traits were linked to higher levels of camouflaging. This quantitative finding provides a baseline for understanding the prevalence of camouflaging behaviors relative to trait severity.
Secondary outcomes examined potential moderators of this relationship. Depression was found to moderate the relationship between autistic traits and camouflaging, though specific effect sizes were not reported for this moderation. In contrast, anxiety and social anxiety did not moderate the relationship. Age was also not a moderator of the association. The analysis further explored how association strength varied by sample type. The relationship was stronger in general population samples than in diagnosed samples. Measurement type also influenced the strength of the association, with self-reported autism measures showing a stronger association than observational measures. Regarding camouflaging measurement methods, the discrepancy method yielded a stronger association than self-report methods.
Subdomain analysis revealed differences in effect strength across specific camouflaging behaviors. Assimilation showed the strongest effect, followed by compensation and masking. Specific effect sizes for these subdomains were not reported. Safety and tolerability findings were not reported because the study design was observational and did not involve active intervention or medication administration. Adverse events, serious adverse events, discontinuations, and overall tolerability were not reported.
Methodological limitations included limited sample diversity, which constrains inferences across the full spectrum of autism. The study quality was rated as medium to high with no evidence of publication bias. However, the observational nature of the included studies prevents causal inference. Clinicians must be aware that the potential for camouflaging to disrupt the diagnostic process is a critical consideration. Campaigns that aim to reduce stereotypes of autism and promote acceptance of neurodiversity may help to reduce the stigma that drives camouflaging. These findings may help establish the foundation needed to develop targeted interventions for camouflaging behaviors.
Key questions remain unanswered regarding the specific mechanisms driving camouflaging in different subpopulations. The lack of data on adverse events is expected in observational research but highlights the need for future studies to monitor the impact of camouflaging on mental health. The moderate effect size suggests that while camouflaging is associated with autistic traits, other factors also play a significant role. The stronger association in general population samples suggests that diagnostic status may influence how camouflaging is measured or expressed. Clinicians should interpret these results with caution and avoid generalizing beyond the full spectrum due to limited sample diversity.
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Autistic people sometimes camouflage their behaviour to appear non-autistic. This meta-analysis rigorously tests the relationship between autistic traits and camouflaging, examining contributing person- and study-level variables. Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we searched PubMED, PsycINFO, Web of Science, and ProQuest Dissertations in April 2025. All quantitative designs examining autistic traits and camouflaging on a continuum were included. Fifty papers ( = 16,895; ages 10-90) contributed to a three-level meta-analysis (accounting for dependent effect sizes). Study quality was medium to high with no evidence of publication bias. Results revealed a moderate association between autistic traits and camouflaging ( = 0.34, 95% CI: 0.30-0.39), comparable across sexes. Depression, but not anxiety or social anxiety, moderated the relationship. Age was not a moderator, but the association was stronger in general population samples (vs diagnosed), with self-reported autism measures (vs observational), and when using the discrepancy method for camouflaging (vs self-report). Among camouflaging subdomains, assimilation showed the strongest effect, followed by compensation and masking. Limited sample diversity constrains inferences across the full spectrum. This meta-analysis provides a clearer understanding of when, why, and how autistic traits are related to camouflaging, with important research and clinical implications. No funding was obtained for this study. Registration: https://osf.io/uswtr/?view_only=277aec07cdfc402dae75f4900f291253Lay AbstractUnderstanding the autistic trait and camouflaging relationship is critical to identify who is most vulnerable to camouflaging and the way in which autism and camouflaging measurement may influence our understanding of this phenomenon. This directly impacts clinical diagnosis and support, as camouflaging contributes to diagnostic delay and poorer mental health outcomes, creating a cycle of continued camouflaging. Our findings may help to establish the foundation needed to develop targeted interventions.We completed a systematic search to identify all studies that assessed the relationship between autistic traits and camouflaging. In total, 50 studies met all inclusion criteria. The first author extracted data related to participant characteristics (age, gender, diagnostic status, mental health), autistic trait characteristics, and the camouflaging measurement characteristics.The 50 contributing studies included a total of 16,895 participants (61% female). These data show that the more autistic traits a person has, the more camouflaging they engage in; this relationship is evident for both males and females, and the strength of this relationship does not vary across the adult lifespan. People from the general population show an increase in the strength of this relationship, compared to those diagnosed, and the relationship changes based on how autistic traits and camouflaging are measured and conceptualised. Mental health did not have a clear impact on the overall relationship.There is a nuanced relationship between autistic traits and camouflaging, the strength of which is dependent on specific person-related (diagnostic status and depression) and study-related factors (autistic trait measurement type, camouflaging measurement type, and camouflaging subdomain). Autistic traits are most strongly linked to behaviours that help people to assimilate (try to fit in and appear 'normal'), followed by strategies to compensate for social differences. The act of hiding autistic traits was the least related. Because the relationship between autistic traits and camouflaging was weaker for diagnosed autistic people, further work is needed to test why this occurs. In addition, clinicians must be aware of the potential for camouflaging to disrupt the diagnostic process, and campaigns that aim to reduce stereotypes of autism and promote acceptance of neurodiversity may help to reduce the stigma that drives camouflaging.