The time has come to stop rotations for the identification of structures in the Hamilton Depression Scale (HAM-D17)
Braz. J. Psychiatry (São Paulo, 1999, Impr.)
;
35(4): 360-363, Oct-Dec. 2013. tab
Artigo
em Inglês
| LILACS
| ID: lil-697328
ABSTRACT
Objective:
To use principal component analysis (PCA) to test the hypothesis that the items of the Hamilton Depression Scale (HAM-D17) have been selected to reflect depression disability, whereas some of the items are specific for sub-typing depression into typical vs. atypical depression.Method:
Our previous study using exploratory factor analysis on HAM-D17 has been re-analyzed with PCA and the results have been compared to a dataset from another randomized prospective study.Results:
PCA showed that the first principal component was a general factor covering depression disability with factor loadings very similar to those obtained in the STAR*D study. The second principal component was a bi-directional factor contrasting typical vs. atypical depression symptoms. Varimax rotation gave no new insight into the factor structure of HAM-D17.Conclusion:
With scales like the HAM-D17, it is very important to make a proper clinical interpretation of the PCA before attempting any form of exploratory factor analysis. For the HAM-D17, our results indicate that profile scores are needed because the total score of all 17 items in the HAM-D17 does not give sufficient information. .
Texto completo:
DisponíveL
Índice:
LILACS (Américas)
Assunto principal:
Escalas de Graduação Psiquiátrica
/
Depressão
/
Transtorno Depressivo
Tipo de estudo:
Ensaio Clínico Controlado
/
Estudo diagnóstico
/
Estudo observacional
/
Estudo prognóstico
Limite:
Feminino
/
Humanos
/
Masculino
Idioma:
Inglês
Revista:
Braz. J. Psychiatry (São Paulo, 1999, Impr.)
Assunto da revista:
Psiquiatria
Ano de publicação:
2013
Tipo de documento:
Artigo
País de afiliação:
Dinamarca
Instituição/País de afiliação:
Copenhagen University/DK
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