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- W2893750907 abstract "Abstract Introduction Besides the intensity of depression, the main predictors of the outcome of a depressive episode are the comorbid disorders and certain personality traits. Objectives Since previous research has focused on the study of these traits at the level of the Big Five Factors or domains, our aim was to examine whether the course of depression can be predicted more accurately by the facets than by the domains. Methods We assessed 58 patients with depressive disorder using a battery of psychological tests, including the NEO Personality Inventory Revised and the Beck Depression Inventory (BDI-II). About one year later, 43 of these people completed the BDI-II again. Results Improvement was associated with high scores on the Angry Hostility, Openness to Feelings and Orderliness facets and low scores on the Modesty facet. These facets specifically predicted between 44 and 48% of the criterion variance, compared to less than a quarter for the big factors." @default.
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- W2893750907 date "2018-07-01" @default.
- W2893750907 modified "2023-10-11" @default.
- W2893750907 title "The relationships between personality traits and one-year outcomes in patients with major depressive disorder without psychotic features" @default.
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- W2893750907 doi "https://doi.org/10.1016/j.erap.2018.08.003" @default.
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