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Factor analysis of the Zung self-rating depression scale in a large sample of patients with major depressive disorder in primary care
BACKGROUND: The aim of this study was to examine the symptomatic dimensions of depression in a large sample of patients with major depressive disorder (MDD) in the primary care (PC) setting by means of a factor analysis of the Zung self-rating depression scale (ZSDS). METHODS: A factor analysis was...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2008
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2257949/ https://www.ncbi.nlm.nih.gov/pubmed/18194524 http://dx.doi.org/10.1186/1471-244X-8-4 |
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author | Romera, Irene Delgado-Cohen, Helena Perez, Teresa Caballero, Luis Gilaberte, Immaculada |
author_facet | Romera, Irene Delgado-Cohen, Helena Perez, Teresa Caballero, Luis Gilaberte, Immaculada |
author_sort | Romera, Irene |
collection | PubMed |
description | BACKGROUND: The aim of this study was to examine the symptomatic dimensions of depression in a large sample of patients with major depressive disorder (MDD) in the primary care (PC) setting by means of a factor analysis of the Zung self-rating depression scale (ZSDS). METHODS: A factor analysis was performed, based on the polychoric correlations matrix, between ZSDS items using promax oblique rotation in 1049 PC patients with a diagnosis of MDD (DSM-IV). RESULTS: A clinical interpretable four-factor solution consisting of a core depressive factor (I); a cognitive factor (II); an anxiety factor (III) and a somatic factor (IV) was extracted. These factors accounted for 36.9% of the variance on the ZSDS. The 4-factor structure was validated and high coefficients of congruence were obtained (0.98, 0.95, 0.92 and 0.87 for factors I, II, III and IV, respectively). The model seemed to fit the data well with fit indexes within recommended ranges (GFI = 0.9330, AGFI = 0.9112 and RMR = 0.0843). CONCLUSION: Our findings suggest that depressive symptoms in patients with MDD in the PC setting cluster into four dimensions: core depressive, cognitive, anxiety and somatic, by means of a factor analysis of the ZSDS. Further research is needed to identify possible diagnostic, therapeutic or prognostic implications of the different depressive symptomatic profiles. |
format | Text |
id | pubmed-2257949 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-22579492008-02-28 Factor analysis of the Zung self-rating depression scale in a large sample of patients with major depressive disorder in primary care Romera, Irene Delgado-Cohen, Helena Perez, Teresa Caballero, Luis Gilaberte, Immaculada BMC Psychiatry Research Article BACKGROUND: The aim of this study was to examine the symptomatic dimensions of depression in a large sample of patients with major depressive disorder (MDD) in the primary care (PC) setting by means of a factor analysis of the Zung self-rating depression scale (ZSDS). METHODS: A factor analysis was performed, based on the polychoric correlations matrix, between ZSDS items using promax oblique rotation in 1049 PC patients with a diagnosis of MDD (DSM-IV). RESULTS: A clinical interpretable four-factor solution consisting of a core depressive factor (I); a cognitive factor (II); an anxiety factor (III) and a somatic factor (IV) was extracted. These factors accounted for 36.9% of the variance on the ZSDS. The 4-factor structure was validated and high coefficients of congruence were obtained (0.98, 0.95, 0.92 and 0.87 for factors I, II, III and IV, respectively). The model seemed to fit the data well with fit indexes within recommended ranges (GFI = 0.9330, AGFI = 0.9112 and RMR = 0.0843). CONCLUSION: Our findings suggest that depressive symptoms in patients with MDD in the PC setting cluster into four dimensions: core depressive, cognitive, anxiety and somatic, by means of a factor analysis of the ZSDS. Further research is needed to identify possible diagnostic, therapeutic or prognostic implications of the different depressive symptomatic profiles. BioMed Central 2008-01-14 /pmc/articles/PMC2257949/ /pubmed/18194524 http://dx.doi.org/10.1186/1471-244X-8-4 Text en Copyright © 2008 Romera 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 Article Romera, Irene Delgado-Cohen, Helena Perez, Teresa Caballero, Luis Gilaberte, Immaculada Factor analysis of the Zung self-rating depression scale in a large sample of patients with major depressive disorder in primary care |
title | Factor analysis of the Zung self-rating depression scale in a large sample of patients with major depressive disorder in primary care |
title_full | Factor analysis of the Zung self-rating depression scale in a large sample of patients with major depressive disorder in primary care |
title_fullStr | Factor analysis of the Zung self-rating depression scale in a large sample of patients with major depressive disorder in primary care |
title_full_unstemmed | Factor analysis of the Zung self-rating depression scale in a large sample of patients with major depressive disorder in primary care |
title_short | Factor analysis of the Zung self-rating depression scale in a large sample of patients with major depressive disorder in primary care |
title_sort | factor analysis of the zung self-rating depression scale in a large sample of patients with major depressive disorder in primary care |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2257949/ https://www.ncbi.nlm.nih.gov/pubmed/18194524 http://dx.doi.org/10.1186/1471-244X-8-4 |
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