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An investigation into the psychometric properties of the Hospital Anxiety and Depression Scale in patients with breast cancer
BACKGROUND: To determine the psychometric properties of the Hospital Anxiety and Depression Scale (HADS) in patients with breast cancer and determine the suitability of the instrument for use with this clinical group. METHODS: A cross-sectional design was used. The study used a pooled data set from...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2005
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1184094/ https://www.ncbi.nlm.nih.gov/pubmed/16018801 http://dx.doi.org/10.1186/1477-7525-3-41 |
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author | Rodgers, Jacqui Martin, Colin R Morse, Rachel C Kendell, Kate Verrill, Mark |
author_facet | Rodgers, Jacqui Martin, Colin R Morse, Rachel C Kendell, Kate Verrill, Mark |
author_sort | Rodgers, Jacqui |
collection | PubMed |
description | BACKGROUND: To determine the psychometric properties of the Hospital Anxiety and Depression Scale (HADS) in patients with breast cancer and determine the suitability of the instrument for use with this clinical group. METHODS: A cross-sectional design was used. The study used a pooled data set from three breast cancer clinical groups. The dependent variables were HADS anxiety and depression sub-scale scores. Exploratory and confirmatory factor analyses were conducted on the HADS to determine its psychometric properties in 110 patients with breast cancer. Seven models were tested to determine model fit to the data. RESULTS: Both factor analysis methods indicated that three-factor models provided a better fit to the data compared to two-factor (anxiety and depression) models for breast cancer patients. Clark and Watson's three factor tripartite and three factor hierarchical models provided the best fit. CONCLUSION: The underlying factor structure of the HADS in breast cancer patients comprises three distinct, but correlated factors, negative affectivity, autonomic anxiety and anhedonic depression. The clinical utility of the HADS in screening for anxiety and depression in breast cancer patients may be enhanced by using a modified scoring procedure based on a three-factor model of psychological distress. This proposed alternate scoring method involving regressing autonomic anxiety and anhedonic depression factors onto the third factor (negative affectivity) requires further investigation in order to establish its efficacy. |
format | Text |
id | pubmed-1184094 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2005 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-11840942005-08-11 An investigation into the psychometric properties of the Hospital Anxiety and Depression Scale in patients with breast cancer Rodgers, Jacqui Martin, Colin R Morse, Rachel C Kendell, Kate Verrill, Mark Health Qual Life Outcomes Research BACKGROUND: To determine the psychometric properties of the Hospital Anxiety and Depression Scale (HADS) in patients with breast cancer and determine the suitability of the instrument for use with this clinical group. METHODS: A cross-sectional design was used. The study used a pooled data set from three breast cancer clinical groups. The dependent variables were HADS anxiety and depression sub-scale scores. Exploratory and confirmatory factor analyses were conducted on the HADS to determine its psychometric properties in 110 patients with breast cancer. Seven models were tested to determine model fit to the data. RESULTS: Both factor analysis methods indicated that three-factor models provided a better fit to the data compared to two-factor (anxiety and depression) models for breast cancer patients. Clark and Watson's three factor tripartite and three factor hierarchical models provided the best fit. CONCLUSION: The underlying factor structure of the HADS in breast cancer patients comprises three distinct, but correlated factors, negative affectivity, autonomic anxiety and anhedonic depression. The clinical utility of the HADS in screening for anxiety and depression in breast cancer patients may be enhanced by using a modified scoring procedure based on a three-factor model of psychological distress. This proposed alternate scoring method involving regressing autonomic anxiety and anhedonic depression factors onto the third factor (negative affectivity) requires further investigation in order to establish its efficacy. BioMed Central 2005-07-14 /pmc/articles/PMC1184094/ /pubmed/16018801 http://dx.doi.org/10.1186/1477-7525-3-41 Text en Copyright © 2005 Rodgers et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Rodgers, Jacqui Martin, Colin R Morse, Rachel C Kendell, Kate Verrill, Mark An investigation into the psychometric properties of the Hospital Anxiety and Depression Scale in patients with breast cancer |
title | An investigation into the psychometric properties of the Hospital Anxiety and Depression Scale in patients with breast cancer |
title_full | An investigation into the psychometric properties of the Hospital Anxiety and Depression Scale in patients with breast cancer |
title_fullStr | An investigation into the psychometric properties of the Hospital Anxiety and Depression Scale in patients with breast cancer |
title_full_unstemmed | An investigation into the psychometric properties of the Hospital Anxiety and Depression Scale in patients with breast cancer |
title_short | An investigation into the psychometric properties of the Hospital Anxiety and Depression Scale in patients with breast cancer |
title_sort | investigation into the psychometric properties of the hospital anxiety and depression scale in patients with breast cancer |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1184094/ https://www.ncbi.nlm.nih.gov/pubmed/16018801 http://dx.doi.org/10.1186/1477-7525-3-41 |
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