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Testing extra-linearity across a psychosis continuum
BACKGROUND: It is unclear whether psychotic experiences (PEs) gradually merge into states of clinical psychosis along a continuum which correspond to a dimensional classification or whether latent classes appear above a certain severity threshold which correspond better to diagnostic categories of p...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8594101/ https://www.ncbi.nlm.nih.gov/pubmed/34784908 http://dx.doi.org/10.1186/s12888-021-03498-3 |
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author | Coid, Jeremy W. Zhang, Yamin Zeng, Jinkun Li, Xiaojing Lv, Qiuyue Tang, Wanjie Wang, Qiang Deng, Wei Guo, Wanjun Zhao, Liansheng Ma, Xiaohong Meng, Yajing Li, Mingli Wang, Huiyao Chen, Ting Yang, Min Li, Tao |
author_facet | Coid, Jeremy W. Zhang, Yamin Zeng, Jinkun Li, Xiaojing Lv, Qiuyue Tang, Wanjie Wang, Qiang Deng, Wei Guo, Wanjun Zhao, Liansheng Ma, Xiaohong Meng, Yajing Li, Mingli Wang, Huiyao Chen, Ting Yang, Min Li, Tao |
author_sort | Coid, Jeremy W. |
collection | PubMed |
description | BACKGROUND: It is unclear whether psychotic experiences (PEs) gradually merge into states of clinical psychosis along a continuum which correspond to a dimensional classification or whether latent classes appear above a certain severity threshold which correspond better to diagnostic categories of psychosis. METHODS: Annual cross-sectional surveys, 2014–19, among Chinese undergraduates (N = 47,004) measured PEs, depression and etiological risk factors using standardized self-report instruments. We created a psychosis continuum with five levels and tested linear and extra-linear contrasts in associated etiological risk factors, before and after adjustment for depression. We carried out latent class analysis. RESULTS: Categorical expression of psychosis, including hallucinations and delusions, nuclear symptoms, and nuclear symptoms and depression were found at severe level 5. Etiological risk factors which impacted linearly across the continuum were more common for depression. Child maltreatment impacted extra-linearly on both psychosis and depression. Family history of psychosis impacted linearly on psychosis; male sex and urban birth impacted extra-linearly and were specific for psychosis. Four latent classes were found, but only at level 5. These corresponded to nuclear schizophrenia symptoms, nuclear schizophrenia and depressive symptoms, severe depression, and an unclassified category with moderate prevalence of PEs. CONCLUSION: Quantitative and qualitative changes in the underlying structure of psychosis were observed at the most severe level along a psychosis continuum, where four latent classes emerged. These corresponded to existing categorical classifications but require confirmation with clinical interview. PEs are non-specific and our findings suggest some are on a continuum with depression, whilst others are on a continuum with non-affective psychosis. Differing patterns of impact from etiological risk factors across the spectrum of psychopathology determine outcome at the most severe level of these continua. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12888-021-03498-3. |
format | Online Article Text |
id | pubmed-8594101 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-85941012021-11-16 Testing extra-linearity across a psychosis continuum Coid, Jeremy W. Zhang, Yamin Zeng, Jinkun Li, Xiaojing Lv, Qiuyue Tang, Wanjie Wang, Qiang Deng, Wei Guo, Wanjun Zhao, Liansheng Ma, Xiaohong Meng, Yajing Li, Mingli Wang, Huiyao Chen, Ting Yang, Min Li, Tao BMC Psychiatry Research Article BACKGROUND: It is unclear whether psychotic experiences (PEs) gradually merge into states of clinical psychosis along a continuum which correspond to a dimensional classification or whether latent classes appear above a certain severity threshold which correspond better to diagnostic categories of psychosis. METHODS: Annual cross-sectional surveys, 2014–19, among Chinese undergraduates (N = 47,004) measured PEs, depression and etiological risk factors using standardized self-report instruments. We created a psychosis continuum with five levels and tested linear and extra-linear contrasts in associated etiological risk factors, before and after adjustment for depression. We carried out latent class analysis. RESULTS: Categorical expression of psychosis, including hallucinations and delusions, nuclear symptoms, and nuclear symptoms and depression were found at severe level 5. Etiological risk factors which impacted linearly across the continuum were more common for depression. Child maltreatment impacted extra-linearly on both psychosis and depression. Family history of psychosis impacted linearly on psychosis; male sex and urban birth impacted extra-linearly and were specific for psychosis. Four latent classes were found, but only at level 5. These corresponded to nuclear schizophrenia symptoms, nuclear schizophrenia and depressive symptoms, severe depression, and an unclassified category with moderate prevalence of PEs. CONCLUSION: Quantitative and qualitative changes in the underlying structure of psychosis were observed at the most severe level along a psychosis continuum, where four latent classes emerged. These corresponded to existing categorical classifications but require confirmation with clinical interview. PEs are non-specific and our findings suggest some are on a continuum with depression, whilst others are on a continuum with non-affective psychosis. Differing patterns of impact from etiological risk factors across the spectrum of psychopathology determine outcome at the most severe level of these continua. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12888-021-03498-3. BioMed Central 2021-11-16 /pmc/articles/PMC8594101/ /pubmed/34784908 http://dx.doi.org/10.1186/s12888-021-03498-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Coid, Jeremy W. Zhang, Yamin Zeng, Jinkun Li, Xiaojing Lv, Qiuyue Tang, Wanjie Wang, Qiang Deng, Wei Guo, Wanjun Zhao, Liansheng Ma, Xiaohong Meng, Yajing Li, Mingli Wang, Huiyao Chen, Ting Yang, Min Li, Tao Testing extra-linearity across a psychosis continuum |
title | Testing extra-linearity across a psychosis continuum |
title_full | Testing extra-linearity across a psychosis continuum |
title_fullStr | Testing extra-linearity across a psychosis continuum |
title_full_unstemmed | Testing extra-linearity across a psychosis continuum |
title_short | Testing extra-linearity across a psychosis continuum |
title_sort | testing extra-linearity across a psychosis continuum |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8594101/ https://www.ncbi.nlm.nih.gov/pubmed/34784908 http://dx.doi.org/10.1186/s12888-021-03498-3 |
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