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What Drives Animal Fluency Performance in Cantonese-Speaking Chinese Patients with Adult-Onset Psychosis?
Among the numerous studies investigating semantic factors associated with functioning in psychotic patients, most have been conducted on western populations. By contrast, the current cross-sectional study involved native Cantonese-speaking Chinese participants. Using the category fluency task, we co...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10046392/ https://www.ncbi.nlm.nih.gov/pubmed/36979182 http://dx.doi.org/10.3390/brainsci13030372 |
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author | Hui, Christy Lai-Ming See, Sally Hiu-Wah Chiu, Tsz-Ching Pintos, Andrea Stephanie Kroyer, Johanna M. Suen, Yi-Nam Lee, Edwin Ho-Ming Chan, Sherry Kit-Wa Chang, Wing-Chung Elvevåg, Brita Chen, Eric Yu-Hai |
author_facet | Hui, Christy Lai-Ming See, Sally Hiu-Wah Chiu, Tsz-Ching Pintos, Andrea Stephanie Kroyer, Johanna M. Suen, Yi-Nam Lee, Edwin Ho-Ming Chan, Sherry Kit-Wa Chang, Wing-Chung Elvevåg, Brita Chen, Eric Yu-Hai |
author_sort | Hui, Christy Lai-Ming |
collection | PubMed |
description | Among the numerous studies investigating semantic factors associated with functioning in psychotic patients, most have been conducted on western populations. By contrast, the current cross-sectional study involved native Cantonese-speaking Chinese participants. Using the category fluency task, we compared performance between patients and healthy participants and examined clinical and sociodemographic correlates. First-episode psychosis patients (n = 356) and gender- and age-matched healthy participants (n = 35) were asked to generate as many ‘animals’ as they could in a minute. As expected, patients generated fewer correct responses (an average of 15.5 vs. 22.9 words), generated fewer clusters (an average of 3.7 vs. 5.4 thematically grouped nouns), switched less between clusters (on average 8.0 vs. 11.9 switches) and, interestingly, produced a larger percentage of Chinese zodiac animals than healthy participants (an average of 37.7 vs. 24.2). However, these significant group differences in the clusters and switches disappeared when the overall word production was controlled for. Within patients, education was the strongest predictor of category fluency performance (namely the number of correct responses, clusters, and switches). The findings suggest that an overall slowness in patients may account for the group differences in category fluency performance rather than any specific abnormality per se. |
format | Online Article Text |
id | pubmed-10046392 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-100463922023-03-29 What Drives Animal Fluency Performance in Cantonese-Speaking Chinese Patients with Adult-Onset Psychosis? Hui, Christy Lai-Ming See, Sally Hiu-Wah Chiu, Tsz-Ching Pintos, Andrea Stephanie Kroyer, Johanna M. Suen, Yi-Nam Lee, Edwin Ho-Ming Chan, Sherry Kit-Wa Chang, Wing-Chung Elvevåg, Brita Chen, Eric Yu-Hai Brain Sci Article Among the numerous studies investigating semantic factors associated with functioning in psychotic patients, most have been conducted on western populations. By contrast, the current cross-sectional study involved native Cantonese-speaking Chinese participants. Using the category fluency task, we compared performance between patients and healthy participants and examined clinical and sociodemographic correlates. First-episode psychosis patients (n = 356) and gender- and age-matched healthy participants (n = 35) were asked to generate as many ‘animals’ as they could in a minute. As expected, patients generated fewer correct responses (an average of 15.5 vs. 22.9 words), generated fewer clusters (an average of 3.7 vs. 5.4 thematically grouped nouns), switched less between clusters (on average 8.0 vs. 11.9 switches) and, interestingly, produced a larger percentage of Chinese zodiac animals than healthy participants (an average of 37.7 vs. 24.2). However, these significant group differences in the clusters and switches disappeared when the overall word production was controlled for. Within patients, education was the strongest predictor of category fluency performance (namely the number of correct responses, clusters, and switches). The findings suggest that an overall slowness in patients may account for the group differences in category fluency performance rather than any specific abnormality per se. MDPI 2023-02-21 /pmc/articles/PMC10046392/ /pubmed/36979182 http://dx.doi.org/10.3390/brainsci13030372 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Hui, Christy Lai-Ming See, Sally Hiu-Wah Chiu, Tsz-Ching Pintos, Andrea Stephanie Kroyer, Johanna M. Suen, Yi-Nam Lee, Edwin Ho-Ming Chan, Sherry Kit-Wa Chang, Wing-Chung Elvevåg, Brita Chen, Eric Yu-Hai What Drives Animal Fluency Performance in Cantonese-Speaking Chinese Patients with Adult-Onset Psychosis? |
title | What Drives Animal Fluency Performance in Cantonese-Speaking Chinese Patients with Adult-Onset Psychosis? |
title_full | What Drives Animal Fluency Performance in Cantonese-Speaking Chinese Patients with Adult-Onset Psychosis? |
title_fullStr | What Drives Animal Fluency Performance in Cantonese-Speaking Chinese Patients with Adult-Onset Psychosis? |
title_full_unstemmed | What Drives Animal Fluency Performance in Cantonese-Speaking Chinese Patients with Adult-Onset Psychosis? |
title_short | What Drives Animal Fluency Performance in Cantonese-Speaking Chinese Patients with Adult-Onset Psychosis? |
title_sort | what drives animal fluency performance in cantonese-speaking chinese patients with adult-onset psychosis? |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10046392/ https://www.ncbi.nlm.nih.gov/pubmed/36979182 http://dx.doi.org/10.3390/brainsci13030372 |
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