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Validations and psychological properties of a simplified Chinese version of pain anxiety symptoms scale (SC-PASS)
The Pain Anxiety Symptoms Scale (PASS) has been developed to evaluate pain anxiety, which leads to avoidance of daily activities and normal movements. However, a simplified Chinese version of PASS is still not available. Physicians are not aware of which patients are prone to anxiety, and what the r...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5348142/ https://www.ncbi.nlm.nih.gov/pubmed/28272194 http://dx.doi.org/10.1097/MD.0000000000005626 |
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author | Zhou, Xiao-Yi Xu, Xi-Ming Wang, Fei Wu, Sui-Yi Yang, Yi-Lin Li, Ming Huang, Jian-Ming Wei, Xian-Zhao |
author_facet | Zhou, Xiao-Yi Xu, Xi-Ming Wang, Fei Wu, Sui-Yi Yang, Yi-Lin Li, Ming Huang, Jian-Ming Wei, Xian-Zhao |
author_sort | Zhou, Xiao-Yi |
collection | PubMed |
description | The Pain Anxiety Symptoms Scale (PASS) has been developed to evaluate pain anxiety, which leads to avoidance of daily activities and normal movements. However, a simplified Chinese version of PASS is still not available. Physicians are not aware of which patients are prone to anxiety, and what the risk factors are. To cross-culturally adapt the PASS into a simplified Chinese version and test the reliability and validity. Factors affecting pain anxiety were also explored. The PASS was first translated into a simplified Chinese version according to a forward-backward method. Then, validations were tested including content validity, construct validity, and reliability. Content validity was analyzed by response trend. Construct validity was analyzed by confirmatory factor analysis (CFA), exploratory factor analysis, and priori hypotheses testing. Reliability was analyzed by internal consistency and test–retest reliability. Risk factors of catastrophizing were analyzed by performing multivariate liner regression. A total of 219 patients were included in the study. The scores of items were well distributed. Both CFA and exploratory factor analysis suggested a 2nd-order, 4-factor model, accounting for 65.42% of the total variance according to principle component analysis. SC-PASS obtained good reliability with a Cronbach α = 0.92 and ICC = 0.90. College education, long pain duration, and both married and divorced status were risk factors. Factors reduced pain-related anxiety were no medication assumption, female sex, widowed status, non-Han ethnicity, and having no religious belief. The SC-PASS was applicable in Chinese patients and it was suitable for the clinical uses in mainland China. |
format | Online Article Text |
id | pubmed-5348142 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-53481422017-03-22 Validations and psychological properties of a simplified Chinese version of pain anxiety symptoms scale (SC-PASS) Zhou, Xiao-Yi Xu, Xi-Ming Wang, Fei Wu, Sui-Yi Yang, Yi-Lin Li, Ming Huang, Jian-Ming Wei, Xian-Zhao Medicine (Baltimore) 5000 The Pain Anxiety Symptoms Scale (PASS) has been developed to evaluate pain anxiety, which leads to avoidance of daily activities and normal movements. However, a simplified Chinese version of PASS is still not available. Physicians are not aware of which patients are prone to anxiety, and what the risk factors are. To cross-culturally adapt the PASS into a simplified Chinese version and test the reliability and validity. Factors affecting pain anxiety were also explored. The PASS was first translated into a simplified Chinese version according to a forward-backward method. Then, validations were tested including content validity, construct validity, and reliability. Content validity was analyzed by response trend. Construct validity was analyzed by confirmatory factor analysis (CFA), exploratory factor analysis, and priori hypotheses testing. Reliability was analyzed by internal consistency and test–retest reliability. Risk factors of catastrophizing were analyzed by performing multivariate liner regression. A total of 219 patients were included in the study. The scores of items were well distributed. Both CFA and exploratory factor analysis suggested a 2nd-order, 4-factor model, accounting for 65.42% of the total variance according to principle component analysis. SC-PASS obtained good reliability with a Cronbach α = 0.92 and ICC = 0.90. College education, long pain duration, and both married and divorced status were risk factors. Factors reduced pain-related anxiety were no medication assumption, female sex, widowed status, non-Han ethnicity, and having no religious belief. The SC-PASS was applicable in Chinese patients and it was suitable for the clinical uses in mainland China. Wolters Kluwer Health 2017-03-10 /pmc/articles/PMC5348142/ /pubmed/28272194 http://dx.doi.org/10.1097/MD.0000000000005626 Text en Copyright © 2017 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0 |
spellingShingle | 5000 Zhou, Xiao-Yi Xu, Xi-Ming Wang, Fei Wu, Sui-Yi Yang, Yi-Lin Li, Ming Huang, Jian-Ming Wei, Xian-Zhao Validations and psychological properties of a simplified Chinese version of pain anxiety symptoms scale (SC-PASS) |
title | Validations and psychological properties of a simplified Chinese version of pain anxiety symptoms scale (SC-PASS) |
title_full | Validations and psychological properties of a simplified Chinese version of pain anxiety symptoms scale (SC-PASS) |
title_fullStr | Validations and psychological properties of a simplified Chinese version of pain anxiety symptoms scale (SC-PASS) |
title_full_unstemmed | Validations and psychological properties of a simplified Chinese version of pain anxiety symptoms scale (SC-PASS) |
title_short | Validations and psychological properties of a simplified Chinese version of pain anxiety symptoms scale (SC-PASS) |
title_sort | validations and psychological properties of a simplified chinese version of pain anxiety symptoms scale (sc-pass) |
topic | 5000 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5348142/ https://www.ncbi.nlm.nih.gov/pubmed/28272194 http://dx.doi.org/10.1097/MD.0000000000005626 |
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