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Testing the clinical application of the child psychosis-risk screening system (CPSS)
INTRODUCTION: Children in a prodromal state manifesting as truancy or social isolation (hikikomori) often complain of problems that are physical in nature and are subject to significant changes. We developed the Child Psychosis-Risk Screening System (CPSS) that incorporates childhood psycho-behavior...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9480262/ http://dx.doi.org/10.1192/j.eurpsy.2021.1694 |
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author | Hamasaki, Y. Matsuo, M. Sakaue, Y. Sanada, R. Nakayama, T. Michikoshi, S. Ueba, S. Kurimoto, N. Hikida, T. |
author_facet | Hamasaki, Y. Matsuo, M. Sakaue, Y. Sanada, R. Nakayama, T. Michikoshi, S. Ueba, S. Kurimoto, N. Hikida, T. |
author_sort | Hamasaki, Y. |
collection | PubMed |
description | INTRODUCTION: Children in a prodromal state manifesting as truancy or social isolation (hikikomori) often complain of problems that are physical in nature and are subject to significant changes. We developed the Child Psychosis-Risk Screening System (CPSS) that incorporates childhood psycho-behavioral characteristics revealed through a retrospective survey of schizophrenia patients into its algorithm. OBJECTIVES: Our research aimed to test the risk identification of pediatric and psychiatric clinic outpatients using the CPSS. METHODS: We conducted an epidemiological study involving 204 outpatients between the ages of 6 and 14 years who had been examined at a pediatric or psychiatric clinic using the CBCL and clinical data from medical charts. Logistic regression analysis and T-tests were performed using each clinical data variable to clarify the risk of the CPSS calculated from the CBCL data and contributing factors. RESULTS: The results of the logistic regression analysis demonstrated that the diagnostic category (physical illness or DSM-5 diagnosis) and chief complaint did not contribute to differentiate between the high-risk and low-risk groups. Meanwhile, the environmental factors of “abuse” and “social isolation” did contribute to the discrimination of the two groups. CONCLUSIONS: The fact that the diagnostic category during childhood does not contribute to the discrimination of the high- risk group warrants attention. It is possible that the high-risk group only had a latent endophenotype that had not yet manifested during this period. The factors suggested to have an association with the high-risk group may be reflecting activators and the dynamic state of the critical period for psychosis. DISCLOSURE: No significant relationships. |
format | Online Article Text |
id | pubmed-9480262 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-94802622022-09-29 Testing the clinical application of the child psychosis-risk screening system (CPSS) Hamasaki, Y. Matsuo, M. Sakaue, Y. Sanada, R. Nakayama, T. Michikoshi, S. Ueba, S. Kurimoto, N. Hikida, T. Eur Psychiatry Abstract INTRODUCTION: Children in a prodromal state manifesting as truancy or social isolation (hikikomori) often complain of problems that are physical in nature and are subject to significant changes. We developed the Child Psychosis-Risk Screening System (CPSS) that incorporates childhood psycho-behavioral characteristics revealed through a retrospective survey of schizophrenia patients into its algorithm. OBJECTIVES: Our research aimed to test the risk identification of pediatric and psychiatric clinic outpatients using the CPSS. METHODS: We conducted an epidemiological study involving 204 outpatients between the ages of 6 and 14 years who had been examined at a pediatric or psychiatric clinic using the CBCL and clinical data from medical charts. Logistic regression analysis and T-tests were performed using each clinical data variable to clarify the risk of the CPSS calculated from the CBCL data and contributing factors. RESULTS: The results of the logistic regression analysis demonstrated that the diagnostic category (physical illness or DSM-5 diagnosis) and chief complaint did not contribute to differentiate between the high-risk and low-risk groups. Meanwhile, the environmental factors of “abuse” and “social isolation” did contribute to the discrimination of the two groups. CONCLUSIONS: The fact that the diagnostic category during childhood does not contribute to the discrimination of the high- risk group warrants attention. It is possible that the high-risk group only had a latent endophenotype that had not yet manifested during this period. The factors suggested to have an association with the high-risk group may be reflecting activators and the dynamic state of the critical period for psychosis. DISCLOSURE: No significant relationships. Cambridge University Press 2021-08-13 /pmc/articles/PMC9480262/ http://dx.doi.org/10.1192/j.eurpsy.2021.1694 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Abstract Hamasaki, Y. Matsuo, M. Sakaue, Y. Sanada, R. Nakayama, T. Michikoshi, S. Ueba, S. Kurimoto, N. Hikida, T. Testing the clinical application of the child psychosis-risk screening system (CPSS) |
title | Testing the clinical application of the child psychosis-risk screening system (CPSS) |
title_full | Testing the clinical application of the child psychosis-risk screening system (CPSS) |
title_fullStr | Testing the clinical application of the child psychosis-risk screening system (CPSS) |
title_full_unstemmed | Testing the clinical application of the child psychosis-risk screening system (CPSS) |
title_short | Testing the clinical application of the child psychosis-risk screening system (CPSS) |
title_sort | testing the clinical application of the child psychosis-risk screening system (cpss) |
topic | Abstract |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9480262/ http://dx.doi.org/10.1192/j.eurpsy.2021.1694 |
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