Cargando…
Positive and Negative Relationship between Anxiety and Depression of Patients in Pain: A Bifactor Model Analysis
BACKGROUND: The relationship between anxiety and depression in pain patients has not been clarified comprehensively. Previous research has identified a common factor in anxiety and depression, which may explain why depression and anxiety are strongly correlated. However, the specific clinical featur...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3475698/ https://www.ncbi.nlm.nih.gov/pubmed/23094064 http://dx.doi.org/10.1371/journal.pone.0047577 |
_version_ | 1782246984368783360 |
---|---|
author | Xie, Jingdan Bi, Qian li, Wen Shang, Wen Yan, Ming Yang, Yebing Miao, Danmin Zhang, Huiming |
author_facet | Xie, Jingdan Bi, Qian li, Wen Shang, Wen Yan, Ming Yang, Yebing Miao, Danmin Zhang, Huiming |
author_sort | Xie, Jingdan |
collection | PubMed |
description | BACKGROUND: The relationship between anxiety and depression in pain patients has not been clarified comprehensively. Previous research has identified a common factor in anxiety and depression, which may explain why depression and anxiety are strongly correlated. However, the specific clinical features of anxiety and depression seem to pull in opposite directions. OBJECTIVE: The purpose of this study is to develop a statistical model of depression and anxiety, based on data from pain patients using Hospital Anxiety and Depression Scale (HADS). This model should account for the positive correlation between depression and anxiety in terms of a general factor and also demonstrate a latent negative correlation between the specific factors underlying depression and anxiety. METHODS: The anxiety and depression symptoms of pain patients were evaluated using the HADS and the severity of their pain was assessed with the visual analogue scale (VAS). We developed a hierarchical model of the data using an IRT method called bifactor analysis. In addition, we tested this hierarchical model with model fit comparisons with unidimensional, bidimensional, and tridimensional models. The correlations among anxiety, depression, and pain severity were compared, based on both the bidimensional model and our hierarchical model. RESULTS: The bidimensional model analysis found that there was a large positive correlation between anxiety and depression (r = 0.638), and both scores were significantly positively correlated with pain severity. After extracting general factor of distress using bifactor analysis, the specific factors underlying anxiety and depression were weakly but significantly negatively correlated (r = −0.245) and only the general factor was significantly correlated with pain severity. Compared with the three first-order models, the bifactor hierarchical model had the best model fit. CONCLUSION: Our results support the hypothesis that apart from distress, anxiety and depression are inversely correlated. This finding has not been convincingly demonstrated in previous research. |
format | Online Article Text |
id | pubmed-3475698 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-34756982012-10-23 Positive and Negative Relationship between Anxiety and Depression of Patients in Pain: A Bifactor Model Analysis Xie, Jingdan Bi, Qian li, Wen Shang, Wen Yan, Ming Yang, Yebing Miao, Danmin Zhang, Huiming PLoS One Research Article BACKGROUND: The relationship between anxiety and depression in pain patients has not been clarified comprehensively. Previous research has identified a common factor in anxiety and depression, which may explain why depression and anxiety are strongly correlated. However, the specific clinical features of anxiety and depression seem to pull in opposite directions. OBJECTIVE: The purpose of this study is to develop a statistical model of depression and anxiety, based on data from pain patients using Hospital Anxiety and Depression Scale (HADS). This model should account for the positive correlation between depression and anxiety in terms of a general factor and also demonstrate a latent negative correlation between the specific factors underlying depression and anxiety. METHODS: The anxiety and depression symptoms of pain patients were evaluated using the HADS and the severity of their pain was assessed with the visual analogue scale (VAS). We developed a hierarchical model of the data using an IRT method called bifactor analysis. In addition, we tested this hierarchical model with model fit comparisons with unidimensional, bidimensional, and tridimensional models. The correlations among anxiety, depression, and pain severity were compared, based on both the bidimensional model and our hierarchical model. RESULTS: The bidimensional model analysis found that there was a large positive correlation between anxiety and depression (r = 0.638), and both scores were significantly positively correlated with pain severity. After extracting general factor of distress using bifactor analysis, the specific factors underlying anxiety and depression were weakly but significantly negatively correlated (r = −0.245) and only the general factor was significantly correlated with pain severity. Compared with the three first-order models, the bifactor hierarchical model had the best model fit. CONCLUSION: Our results support the hypothesis that apart from distress, anxiety and depression are inversely correlated. This finding has not been convincingly demonstrated in previous research. Public Library of Science 2012-10-18 /pmc/articles/PMC3475698/ /pubmed/23094064 http://dx.doi.org/10.1371/journal.pone.0047577 Text en © 2012 Xie et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Xie, Jingdan Bi, Qian li, Wen Shang, Wen Yan, Ming Yang, Yebing Miao, Danmin Zhang, Huiming Positive and Negative Relationship between Anxiety and Depression of Patients in Pain: A Bifactor Model Analysis |
title | Positive and Negative Relationship between Anxiety and Depression of Patients in Pain: A Bifactor Model Analysis |
title_full | Positive and Negative Relationship between Anxiety and Depression of Patients in Pain: A Bifactor Model Analysis |
title_fullStr | Positive and Negative Relationship between Anxiety and Depression of Patients in Pain: A Bifactor Model Analysis |
title_full_unstemmed | Positive and Negative Relationship between Anxiety and Depression of Patients in Pain: A Bifactor Model Analysis |
title_short | Positive and Negative Relationship between Anxiety and Depression of Patients in Pain: A Bifactor Model Analysis |
title_sort | positive and negative relationship between anxiety and depression of patients in pain: a bifactor model analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3475698/ https://www.ncbi.nlm.nih.gov/pubmed/23094064 http://dx.doi.org/10.1371/journal.pone.0047577 |
work_keys_str_mv | AT xiejingdan positiveandnegativerelationshipbetweenanxietyanddepressionofpatientsinpainabifactormodelanalysis AT biqian positiveandnegativerelationshipbetweenanxietyanddepressionofpatientsinpainabifactormodelanalysis AT liwen positiveandnegativerelationshipbetweenanxietyanddepressionofpatientsinpainabifactormodelanalysis AT shangwen positiveandnegativerelationshipbetweenanxietyanddepressionofpatientsinpainabifactormodelanalysis AT yanming positiveandnegativerelationshipbetweenanxietyanddepressionofpatientsinpainabifactormodelanalysis AT yangyebing positiveandnegativerelationshipbetweenanxietyanddepressionofpatientsinpainabifactormodelanalysis AT miaodanmin positiveandnegativerelationshipbetweenanxietyanddepressionofpatientsinpainabifactormodelanalysis AT zhanghuiming positiveandnegativerelationshipbetweenanxietyanddepressionofpatientsinpainabifactormodelanalysis |