Neurodiversity and mental health in esports

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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Van Ruysevelt, L., Mairesse, O., Van Heel, M., Trotter, M. G., Watson, M., Pedraza-Ramirez, I., Bonilla, I., Swettenham, L., & Kegelaers, J. (2026). Neurodiversity and mental health in esports. Frontiers in Psychology, 17, 1843950-1843950. https://doi.org/10.3389/fpsyg.2026.1843950

Publication date: 1 Jun 2026 Added to AutiHub: 27 Sep 2026 Type: Article Article language: English

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Authors

Publication authors
9
Publication authors identified as autistic
1 / 9 (11.1%)

Abstract

Introduction Both neurodiversity and mental health have become increasingly prominent topics in esports. Nevertheless, little is known about the mental health of neurodivergent esports players specifically. Methods The current study, therefore, examined whether neurotype-related differences in mental health outcomes (well-being, depression, anxiety, and sleep disturbance) differed across self-reported competitive tiers through a secondary analysis of a large-scale, international, cross-sectional survey. Results A total of 1,075 esports players across competitive tiers and game titles completed the survey, of whom 402 (37.39%) identified as neurodivergent. The analyses showed a main effect of neurotype for well-being and sleep disturbance, a main effect of competitive tier for all mental health outcomes, and an interaction effect for depression and anxiety. Simple comparisons showed that low-tier neurodivergent players exhibited the least favourable mental health profile, reporting lower well-being, higher depressive and anxiety symptoms, and greater sleep disturbance relative to their neurotypical counterparts. In contrast, high-tier neurodivergent players reported comparatively fewer depressive and anxiety symptoms than their high-tier neurotypical counterparts, despite continuing to report lower well-being and greater sleep disturbance. Discussion Neurodivergence seems to be a salient dimension of esports participation. A substantial proportion of players in the current sample self-identified as neurodivergent, and competitive-tier based analyses indicated that the mental health profile associated with neurodivergence was not uniform across the competitive pathway. Future research should include longitudinal designs to clarify relationships between neurotype, mental health, and progression/drop-out across competitive levels, adopt more fine-grained approaches in describing and identifying neurodivergence, and capture lived experiences of neurodivergent players.

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: 2 Oct 2026 07:55.

Cited references
35
With a DOI
33
Without a DOI, from raw bibliography text
2
3 / 35 (8.6%) cited references include at least one author identified as autistic.
References with data to complete
1 / 35 (2.9%)
References with detected author names
34 / 35 (97.1%)
Without detected author names
1
Without a structured title
0
Without a stable identifier
2
References with raw author names still to review
0
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
202
From DOI or external metadata
202
From validated raw bibliography text
0
Raw names already validated
0
Raw names still to review
0
35 / 202 (17.3%) names are linked to an author already present in AutiHub. 167 / 202 (82.7%) names are not yet linked.
Names linked to a person identified as autistic
3 / 202 (1.5%)
Calculated across all author names detected in the cited bibliography. Among names linked to an author already present in AutiHub: 3 / 35 (8.6%). Distinct people identified as autistic: 3 / 187 (1.6%).
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