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Symptom Dimensions of the Psychotic Symptom Rating Scales in Psychosis: A Multisite Study
The Psychotic Symptom Rating Scales (PSYRATS) is an instrument designed to quantify the severity of delusions and hallucinations and is typically used in research studies and clinical settings focusing on people with psychosis and schizophrenia. It is comprised of the auditory hallucinations (AHS) a...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4141314/ https://www.ncbi.nlm.nih.gov/pubmed/24936086 http://dx.doi.org/10.1093/schbul/sbu014 |
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author | Woodward, Todd S. Jung, Kwanghee Hwang, Heungsun Yin, John Taylor, Laura Menon, Mahesh Peters, Emmanuelle Kuipers, Elizabeth Waters, Flavie Lecomte, Tania Sommer, Iris E. Daalman, Kirstin van Lutterveld, Remko Hubl, Daniela Kindler, Jochen Homan, Philipp Badcock, Johanna C. Chhabra, Saruchi Cella, Matteo Keedy, Sarah Allen, Paul Mechelli, Andrea Preti, Antonio Siddi, Sara Erickson, David |
author_facet | Woodward, Todd S. Jung, Kwanghee Hwang, Heungsun Yin, John Taylor, Laura Menon, Mahesh Peters, Emmanuelle Kuipers, Elizabeth Waters, Flavie Lecomte, Tania Sommer, Iris E. Daalman, Kirstin van Lutterveld, Remko Hubl, Daniela Kindler, Jochen Homan, Philipp Badcock, Johanna C. Chhabra, Saruchi Cella, Matteo Keedy, Sarah Allen, Paul Mechelli, Andrea Preti, Antonio Siddi, Sara Erickson, David |
author_sort | Woodward, Todd S. |
collection | PubMed |
description | The Psychotic Symptom Rating Scales (PSYRATS) is an instrument designed to quantify the severity of delusions and hallucinations and is typically used in research studies and clinical settings focusing on people with psychosis and schizophrenia. It is comprised of the auditory hallucinations (AHS) and delusions subscales (DS), but these subscales do not necessarily reflect the psychological constructs causing intercorrelation between clusters of scale items. Identification of these constructs is important in some clinical and research contexts because item clustering may be caused by underlying etiological processes of interest. Previous attempts to identify these constructs have produced conflicting results. In this study, we compiled PSYRATS data from 12 sites in 7 countries, comprising 711 participants for AHS and 520 for DS. We compared previously proposed and novel models of underlying constructs using structural equation modeling. For the AHS, a novel 4-dimensional model provided the best fit, with latent variables labeled Distress (negative content, distress, and control), Frequency (frequency, duration, and disruption), Attribution (location and origin of voices), and Loudness (loudness item only). For the DS, a 2-dimensional solution was confirmed, with latent variables labeled Distress (amount/intensity) and Frequency (preoccupation, conviction, and disruption). The within-AHS and within-DS dimension intercorrelations were higher than those between subscales, with the exception of the AHS and DS Distress dimensions, which produced a correlation that approached the range of the within-scale correlations. Recommendations are provided for integrating these underlying constructs into research and clinical applications of the PSYRATS. |
format | Online Article Text |
id | pubmed-4141314 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-41413142014-08-26 Symptom Dimensions of the Psychotic Symptom Rating Scales in Psychosis: A Multisite Study Woodward, Todd S. Jung, Kwanghee Hwang, Heungsun Yin, John Taylor, Laura Menon, Mahesh Peters, Emmanuelle Kuipers, Elizabeth Waters, Flavie Lecomte, Tania Sommer, Iris E. Daalman, Kirstin van Lutterveld, Remko Hubl, Daniela Kindler, Jochen Homan, Philipp Badcock, Johanna C. Chhabra, Saruchi Cella, Matteo Keedy, Sarah Allen, Paul Mechelli, Andrea Preti, Antonio Siddi, Sara Erickson, David Schizophr Bull Supplement Article The Psychotic Symptom Rating Scales (PSYRATS) is an instrument designed to quantify the severity of delusions and hallucinations and is typically used in research studies and clinical settings focusing on people with psychosis and schizophrenia. It is comprised of the auditory hallucinations (AHS) and delusions subscales (DS), but these subscales do not necessarily reflect the psychological constructs causing intercorrelation between clusters of scale items. Identification of these constructs is important in some clinical and research contexts because item clustering may be caused by underlying etiological processes of interest. Previous attempts to identify these constructs have produced conflicting results. In this study, we compiled PSYRATS data from 12 sites in 7 countries, comprising 711 participants for AHS and 520 for DS. We compared previously proposed and novel models of underlying constructs using structural equation modeling. For the AHS, a novel 4-dimensional model provided the best fit, with latent variables labeled Distress (negative content, distress, and control), Frequency (frequency, duration, and disruption), Attribution (location and origin of voices), and Loudness (loudness item only). For the DS, a 2-dimensional solution was confirmed, with latent variables labeled Distress (amount/intensity) and Frequency (preoccupation, conviction, and disruption). The within-AHS and within-DS dimension intercorrelations were higher than those between subscales, with the exception of the AHS and DS Distress dimensions, which produced a correlation that approached the range of the within-scale correlations. Recommendations are provided for integrating these underlying constructs into research and clinical applications of the PSYRATS. Oxford University Press 2014-07 2014-06-13 /pmc/articles/PMC4141314/ /pubmed/24936086 http://dx.doi.org/10.1093/schbul/sbu014 Text en © The Author 2014. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center. http://creativecommons.org/licenses/by/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Supplement Article Woodward, Todd S. Jung, Kwanghee Hwang, Heungsun Yin, John Taylor, Laura Menon, Mahesh Peters, Emmanuelle Kuipers, Elizabeth Waters, Flavie Lecomte, Tania Sommer, Iris E. Daalman, Kirstin van Lutterveld, Remko Hubl, Daniela Kindler, Jochen Homan, Philipp Badcock, Johanna C. Chhabra, Saruchi Cella, Matteo Keedy, Sarah Allen, Paul Mechelli, Andrea Preti, Antonio Siddi, Sara Erickson, David Symptom Dimensions of the Psychotic Symptom Rating Scales in Psychosis: A Multisite Study |
title | Symptom Dimensions of the Psychotic Symptom Rating Scales in Psychosis: A Multisite Study |
title_full | Symptom Dimensions of the Psychotic Symptom Rating Scales in Psychosis: A Multisite Study |
title_fullStr | Symptom Dimensions of the Psychotic Symptom Rating Scales in Psychosis: A Multisite Study |
title_full_unstemmed | Symptom Dimensions of the Psychotic Symptom Rating Scales in Psychosis: A Multisite Study |
title_short | Symptom Dimensions of the Psychotic Symptom Rating Scales in Psychosis: A Multisite Study |
title_sort | symptom dimensions of the psychotic symptom rating scales in psychosis: a multisite study |
topic | Supplement Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4141314/ https://www.ncbi.nlm.nih.gov/pubmed/24936086 http://dx.doi.org/10.1093/schbul/sbu014 |
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