Factor structure and dimensionality of the two depression scales in STAR*D using level 1 datasets.

Journal Article (Journal Article)

BACKGROUND: The factor structure and dimensionality of the HAM-D(17) and the IDS-C(30) are as yet uncertain, because psychometric analyses of these scales have been performed without a clear separation between factor structure profile and dimensionality (total scores being a sufficient statistic). METHODS: The first treatment step (Level 1) in the STAR*D study provided a dataset of 4041 outpatients with DSM-IV nonpsychotic major depression. The HAM-D(17) and IDS-C(30) were evaluated by principal component analysis (PCA) without rotation. Mokken analysis tested the unidimensionality of the IDS-C(6), which corresponds to the unidimensional HAM-D(6.) RESULTS: For both the HAM-D(17) and IDS-C(30), PCA identified a bi-directional factor contrasting the depressive symptoms versus the neurovegetative symptoms. The HAM-D(6) and the corresponding IDS-C(6) symptoms all emerged in the depression factor. Both the HAM-D(6) and IDS-C(6) were found to be unidimensional scales, i.e., their total scores are each a sufficient statistic for the measurement of depressive states. LIMITATIONS: STAR*D used only one medication in Level 1. CONCLUSIONS: The unidimensional HAM-D(6) and IDS-C(6) should be used when evaluating the pure clinical effect of antidepressive treatment, whereas the multidimensional HAM-D(17) and IDS-C(30) should be considered when selecting antidepressant treatment.

Full Text

Duke Authors

Cited Authors

  • Bech, P; Fava, M; Trivedi, MH; Wisniewski, SR; Rush, AJ

Published Date

  • August 2011

Published In

Volume / Issue

  • 132 / 3

Start / End Page

  • 396 - 400

PubMed ID

  • 21440308

Electronic International Standard Serial Number (EISSN)

  • 1573-2517

Digital Object Identifier (DOI)

  • 10.1016/j.jad.2011.03.011


  • eng

Conference Location

  • Netherlands