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.
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.
Authors: S D Østergaard; B S Meyers; A J Flint; B H Mulsant; E M Whyte; C M Ulbricht; P Bech; A J Rothschild Journal: Acta Psychiatr Scand Date: 2013-06-25 Impact factor: 6.392
Authors: Elizabeth D Ballard; Julia S Yarrington; Cristan A Farmer; Marc S Lener; Bashkim Kadriu; Níall Lally; Deonte Williams; Rodrigo Machado-Vieira; Mark J Niciu; Lawrence Park; Carlos A Zarate Journal: J Affect Disord Date: 2018-02-05 Impact factor: 4.839
Authors: Kelly P McCarrier; Linda S Deal; Lucy Abraham; Steven I Blum; Elizabeth Nicole Bush; Mona L Martin; Michael E Thase; Stephen Joel Coons Journal: Patient Date: 2016-04 Impact factor: 3.883
Authors: Y Li; S Aggen; S Shi; J Gao; Y Li; M Tao; K Zhang; X Wang; C Gao; L Yang; Y Liu; K Li; J Shi; G Wang; L Liu; J Zhang; B Du; G Jiang; J Shen; Z Zhang; W Liang; J Sun; J Hu; T Liu; X Wang; G Miao; H Meng; Y Li; C Hu; Y Li; G Huang; G Li; B Ha; H Deng; Q Mei; H Zhong; S Gao; H Sang; Y Zhang; X Fang; F Yu; D Yang; T Liu; Y Chen; X Hong; W Wu; G Chen; M Cai; Y Song; J Pan; J Dong; R Pan; W Zhang; Z Shen; Z Liu; D Gu; X Wang; X Liu; Q Zhang; J Flint; K S Kendler Journal: Psychol Med Date: 2013-08-07 Impact factor: 7.723