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Depression and Openness to Experience

Authors: M Wolfenstein; T J Trull;

Depression and Openness to Experience

Abstract

The relation between depression and Openness to Experience was examined. Self-report measures of personality traits (Revised NEO Personality Inventory; Costa & McCrae, 1992a) and depression (Beck Depression Inventory; Beck, Rush, Shaw, & Emery, 1979; and Inventory to Diagnose Depression; Zimmerman, 1994) were administered to 143 undergraduate participants from the following 3 groups: current depression (n = 46), past depression (n = 50), and never-depressed controls (n = 47). Depressed participants exhibited significantly higher scores than nondepressed controls on two facets of Openness (Aesthetics and Feelings). Openness to Experience was also found to account for a significant proportion of the variance in depression scores, beyond the variance accounted for by Neuroticism and Extraversion. The facet of Openness to Aesthetics appeared to be most strongly related to depression scores, and the facet of Openness to Fantasy was implicated as a moderator of the relation between Extraversion and depression.

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Keywords

Adult, Male, Depressive Disorder, Self-Assessment, Adolescent, Personality Inventory, Humans, Female, Personality Disorders

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
50
Top 10%
Top 10%
Average
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