A mixed method comparison of stigma toward autism and schizophrenia and effects of person-first versus identity-first language

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

Jones, D. & Sasson, N. (2023). A mixed method comparison of stigma toward autism and schizophrenia and effects of person-first versus identity-first language. Frontiers in Psychiatry, 14, Article 1263525. https://doi.org/10.3389/fpsyt.2023.1263525

Publication date: 27 Oct 2023 Added to AutiHub: 23 Oct 2026 Type: Article Article language: English

This publication is integrated into AutiHub through:

Authors

Publication authors
2
Publication authors identified as autistic
1 / 2 (50.0%)

Abstract

Introduction While stigma toward autistic individuals has been well documented, less is known about how autism is perceived relative to other stigmatized disabilities. As a highly stigmatized condition with similar social cognitive features to autism, schizophrenia may offer a useful comparison for stigma. Previous studies have found that autistic people may be perceived more favorably than those with schizophrenia, but little is known about the underlying volitional thoughts that contribute to differences in how these conditions are perceived. Methods The present study utilizes a mixed-methods approach, allowing for a detailed understanding of how young adults perceive different diagnostic labels. 533 college undergraduates completed questionnaires reflecting their perceptions of one of eight diagnostic labels: four related to autism (autism, autistic, autism spectrum disorder, or Asperger’s), two related to schizophrenia (schizophrenia or schizophrenic), and two related to an unspecified clinical condition (clinical diagnosis or clinical disorder). Participants also completed an open-ended question regarding their thoughts about, and exposure to, these labels. Responses were compared across broader diagnostic categories (autism, schizophrenia, general clinical condition), with thematic analysis used to assess the broader themes occurring within the open-ended text. Results While perceptions did not differ significantly for person-first and identity-first language within labels, several differences were apparent across labels. Specifically, quantitative results indicated greater prejudice towards autism and schizophrenia than the generic clinical condition, with schizophrenia associated with more perceived fear and danger, as well as an increased preference for social distance, compared to autism. Patterns in initial codes differed across diagnostic labels, with greater variation in responses about autism than responses about schizophrenia or the general clinical condition. While participants described a range of attitudes toward autism (patronizing, exclusionary, and accepting) and schizophrenia (fear, prejudice, and empathy), they refrained from describing their attitudes toward the general clinical label, highlighting the centrality of a cohesive group identity for the development of stigma. Finally, participants reported a number of misconceptions about autism and schizophrenia, with many believing features such as savant syndrome to be core characteristics of the conditions. Conclusion These findings offer a more detailed account of how non-autistic individuals view autism and may therefore aid in the development of targeted programs to improve attitudes toward autism.

Bibliography cited by this reference

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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: 28 Oct 2026 01:01.

Cited references
73
With a DOI
68
Without a DOI, from raw bibliography text
5
10 / 73 (13.7%) cited references include at least one author identified as autistic.
References with data to complete
3 / 73 (4.1%)
References with detected author names
71 / 73 (97.3%)
Without detected author names
2
Without a structured title
2
Without a stable identifier
5
References with raw author names still to review
0
References with external metadata lookup issues
1
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
292
From DOI or external metadata
292
From validated raw bibliography text
0
Raw names already validated
0
Raw names still to review
0
117 / 292 (40.1%) names are linked to an author already present in AutiHub. 175 / 292 (59.9%) names are not yet linked.
Names linked to a person identified as autistic
12 / 292 (4.1%)
Calculated across all author names detected in the cited bibliography. Among names linked to an author already present in AutiHub: 12 / 117 (10.3%). Distinct people identified as autistic: 8 / 241 (3.3%).
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