Kenneth S Kendler1, Steven H Aggen2, Jonathan Flint3, Denny Borsboom4, Eiko I Fried4. 1. Virginia Institute of Psychiatric and Behavioral Genetics and the Departments of Psychiatry, Virginia Commonwealth University School of Medicine, Richmond, VA, USA. Electronic address: kenneth.kendler@vcuhealth.org. 2. Virginia Institute of Psychiatric and Behavioral Genetics and the Departments of Psychiatry, Virginia Commonwealth University School of Medicine, Richmond, VA, USA. 3. Department of Psychiatry, University of California at Los Angeles, Los Angeles, CA, USA. 4. Department of Psychological Methods, University of Amsterdam, USA.
Abstract
INTRODUCTION: We compared DSM-IV criteria for major depression (MD) with clinically selected non-DSM criteria in their ability to represent clinical features of depression. METHOD: We conducted network analyses of 19 DSM and non-DSM symptoms of MD assessed at personal interview in 5952 Han Chinese women meeting DSM-IV criteria for recurrent MD. We estimated an Ising model (the state-of-the-art network model for binary data), compared the centrality (interconnectedness) of DSM-IV and non-DSM symptoms, and investigated the community structure (symptoms strongly clustered together). RESULTS: The DSM and non-DSM criteria were intermingled within the same symptom network. In both the DSM-IV and non-DSM criteria sets, some symptoms were central (highly interconnected) while others were more peripheral. The mean centrality of the DSM and non-DSM criteria sets did not significantly differ. In at least two cases, non-DSM criteria were more central than symptomatically related DSM criteria: lowered libido vs. sleep and appetite changes, and hopelessness versus worthlessness. The overall network had three sub-clusters reflecting neurovegetative/mood symptoms, cognitive changes and anxiety/irritability. LIMITATIONS: The sample were severely ill Han Chinese females limiting generalizability. CONCLUSIONS: Consistent with prior historical reviews, our results suggest that the DSM-IV criteria for MD reflect one possible sub-set of a larger pool of plausible depressive symptoms and signs. While the DSM criteria on average perform well, they are not unique and may not be optimal in their ability to describe the depressive syndrome.
INTRODUCTION: We compared DSM-IV criteria for major depression (MD) with clinically selected non-DSM criteria in their ability to represent clinical features of depression. METHOD: We conducted network analyses of 19 DSM and non-DSM symptoms of MD assessed at personal interview in 5952 Han Chinese women meeting DSM-IV criteria for recurrent MD. We estimated an Ising model (the state-of-the-art network model for binary data), compared the centrality (interconnectedness) of DSM-IV and non-DSM symptoms, and investigated the community structure (symptoms strongly clustered together). RESULTS: The DSM and non-DSM criteria were intermingled within the same symptom network. In both the DSM-IV and non-DSM criteria sets, some symptoms were central (highly interconnected) while others were more peripheral. The mean centrality of the DSM and non-DSM criteria sets did not significantly differ. In at least two cases, non-DSM criteria were more central than symptomatically related DSM criteria: lowered libido vs. sleep and appetite changes, and hopelessness versus worthlessness. The overall network had three sub-clusters reflecting neurovegetative/mood symptoms, cognitive changes and anxiety/irritability. LIMITATIONS: The sample were severely ill Han Chinese females limiting generalizability. CONCLUSIONS: Consistent with prior historical reviews, our results suggest that the DSM-IV criteria for MD reflect one possible sub-set of a larger pool of plausible depressive symptoms and signs. While the DSM criteria on average perform well, they are not unique and may not be optimal in their ability to describe the depressive syndrome.
Authors: H M van Loo; C D Van Borkulo; R E Peterson; E I Fried; S H Aggen; D Borsboom; K S Kendler Journal: J Affect Disord Date: 2017-10-29 Impact factor: 4.839
Authors: Pedro H Manfro; Rivka B Pereira; Martha Rosa; Hugo Cogo-Moreira; Helen L Fisher; Brandon A Kohrt; Valeria Mondelli; Christian Kieling Journal: Eur Child Adolesc Psychiatry Date: 2021-12-02 Impact factor: 4.785
Authors: Lynn Boschloo; Ella Bekhuis; Erica S Weitz; Mirjam Reijnders; Robert J DeRubeis; Sona Dimidjian; David L Dunner; Boadie W Dunlop; Ulrich Hegerl; Steven D Hollon; Robin B Jarrett; Sidney H Kennedy; Jeanne Miranda; David C Mohr; Anne D Simons; Gordon Parker; Frank Petrak; Stephan Herpertz; Lena C Quilty; A John Rush; Zindel V Segal; Jeffrey R Vittengl; Robert A Schoevers; Pim Cuijpers Journal: World Psychiatry Date: 2019-06 Impact factor: 49.548