Collins, Luke C. and Semino, Elena and Demjén, Zsófia and Hardie, Andrew and Moseley, Peter and Woods, Angela and Alderson-Day, Ben (2020) 'A linguistic approach to the psychosis continuum : dis)similarities and (dis)continuities in how clinical and non-clinical voice-hearers talk about their voices.', Cognitive neuropsychiatry., 25 (6). pp. 447-465.
Abstract
Introduction: “Continuum” approaches to psychosis have generated reports of similarities and differences in voice-hearing in clinical and non-clinical populations at the cohort level, but not typically examined overlap or degrees of difference between groups. Methods: We used a computer-aided linguistic approach to explore reports of voice-hearing by a clinical group (Early Intervention in Psychosis service-users; N = 40) and a non-clinical group (spiritualists; N = 27). We identify semantic categories of terms statistically overused by one group compared with the other, and by each group compared to a control sample of non-voice-hearing interview data (log likelihood (LL) value 6.63+=p < .01; effect size measure: log ratio 1.0+). We consider whether individual values support a continuum model. Results: Notwithstanding significant cohort-level differences, there was considerable continuity in language use. Reports of negative affect were prominent in both groups (p < .01, log ratio: 1.12+). Challenges of cognitive control were also evident in both cohorts, with references to “disengagement” accentuated in service-users (p < .01, log ratio: 1.14+). Conclusion: A corpus linguistic approach to voice-hearing provides new evidence of differences between clinical and non-clinical groups. Variability at the individual level provides substantial evidence of continuity with implications for cognitive mechanisms underlying voice-hearing.
Item Type: | Article |
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Full text: | (VoR) Version of Record Available under License - Creative Commons Attribution. Download PDF (Advance online version) (3024Kb) |
Full text: | (VoR) Version of Record Available under License - Creative Commons Attribution. Download PDF (3055Kb) |
Status: | Peer-reviewed |
Publisher Web site: | https://doi.org/10.1080/13546805.2020.1842727 |
Publisher statement: | © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Date accepted: | 22 October 2020 |
Date deposited: | 11 November 2020 |
Date of first online publication: | 06 November 2020 |
Date first made open access: | 11 November 2020 |
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