Multifactorial prediction of depression diagnosis and symptom dimensions
•Psychiatric control groups can help isolate factors specific to the diagnosis of interest.•Low positive self-referential processing is a strong differentiator of depression.•Additionally, anhedonia and impairment are also important predictors. While depression is a leading cause of disability, prio...
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Published in | Psychiatry research Vol. 298; p. 113805 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Ireland
Elsevier B.V
01.04.2021
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Subjects | |
Online Access | Get full text |
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Summary: | •Psychiatric control groups can help isolate factors specific to the diagnosis of interest.•Low positive self-referential processing is a strong differentiator of depression.•Additionally, anhedonia and impairment are also important predictors.
While depression is a leading cause of disability, prior investigations of depression have been limited by studying correlates in isolation. A data-driven approach was applied to identify out-of-sample predictors of current depression from adults (N = 217) sampled on a continuum of no depression to clinical levels. The current study used elastic net regularized regression and predictors from sociodemographic, self-report, polygenic scores, resting electroencephalography, pupillometry, actigraphy, and cognitive tasks to classify individuals into currently depressed (MDE), psychiatric control (PC), and no current psychopathology (NP) groups, as well as predicting symptom severity and lifetime MDE. Cross-validated models explained 20.6% of the out-of-fold deviance for the classification of MDEs versus PC, 33.2% of the deviance for MDE versus NP, but -0.6% of the deviance between PC and NP. Additionally, predictors accounted for 25.7% of the out-of-fold variance in anhedonia severity, 65.7% of the variance in depression severity, and 12.9% of the deviance in lifetime depression (yes/no). Self-referent processing, anhedonia, and psychosocial functioning emerged as important differentiators of MDE and PC groups. Findings highlight the advantages of using psychiatric control groups to isolate factors specific to depression. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 CGB, DMS, and JM obtained the funding for the project. RAS and JL collected the data under the supervision of CGB. AA processed the alpha asymmetry data. RP and JM performed the genetic analyses and DMS was primarily responsible for the EEG data. MEM ran analyses with consultation from JS. MEM wrote the first draft of the manuscript and CGB provided substantial edits. All authors provided comments and edits on subsequent revisions to the manuscript, and approved the final version of the paper for submission. Author Statement Contributions |
ISSN: | 0165-1781 1872-7123 1872-7123 |
DOI: | 10.1016/j.psychres.2021.113805 |