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Journal ArticleDOI

Linking "big" personality traits to anxiety, depressive, and substance use disorders: a meta-analysis.

TLDR
It is found that common mental disorders are strongly linked to personality and have similar trait profiles, and greater attention to these constructs can significantly benefit psychopathology research and clinical practice.
Abstract
We performed a quantitative review of associations between the higher order personality traits in the Big Three and Big Five models (i.e., neuroticism, extraversion, disinhibition, conscientiousness, agreeableness, and openness) and specific depressive, anxiety, and substance use disorders (SUD) in adults. This approach resulted in 66 meta-analyses. The review included 175 studies published from 1980 to 2007, which yielded 851 effect sizes. For a given analysis, the number of studies ranged from three to 63 (total sample size ranged from 1,076 to 75,229). All diagnostic groups were high on neuroticism (mean Cohen's d = 1.65) and low on conscientiousness (mean d = -1.01). Many disorders also showed low extraversion, with the largest effect sizes for dysthymic disorder (d = -1.47) and social phobia (d = -1.31). Disinhibition was linked to only a few conditions, including SUD (d = 0.72). Finally, agreeableness and openness were largely unrelated to the analyzed diagnoses. Two conditions showed particularly distinct profiles: SUD, which was less related to neuroticism but more elevated on disinhibition and disagreeableness, and specific phobia, which displayed weaker links to all traits. Moderator analyses indicated that epidemiologic samples produced smaller effects than patient samples and that Eysenck's inventories showed weaker associations than NEO scales. In sum, we found that common mental disorders are strongly linked to personality and have similar trait profiles. Neuroticism was the strongest correlate across the board, but several other traits showed substantial effects independent of neuroticism. Greater attention to these constructs can significantly benefit psychopathology research and clinical practice.

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Citations
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Journal ArticleDOI

The Hierarchical Taxonomy of Psychopathology (HiTOP): A Dimensional Alternative to Traditional Nosologies

TL;DR: The HiTOP promises to improve research and clinical practice by addressing the aforementioned shortcomings of traditional nosologies and provides an effective way to summarize and convey information on risk factors, etiology, pathophysiology, phenomenology, illness course, and treatment response.
Journal ArticleDOI

Computer-based personality judgments are more accurate than those made by humans

TL;DR: It is shown that computers’ judgments of people’s personalities based on their digital footprints are more accurate and valid than judgments made by their close others or acquaintances, and that computer personality judgments have higher external validity when predicting life outcomes such as substance use, political attitudes, and physical health.
Journal ArticleDOI

Biculturalism and Adjustment A Meta-Analysis

TL;DR: The authors conducted a meta-analysis that included 83 studies, 322 rs, and 23,197 participants and found a significant, strong, and positive association between biculturalism and adjustment (both psychological and sociocultural).
Journal ArticleDOI

Personality and depression: explanatory models and review of the evidence.

TL;DR: Seven major models that have been proposed to explain the relation between personality and depression are discussed, and key methodological issues, including study design, the heterogeneity of mood disorders, and the assessment of personality are reviewed.
Journal ArticleDOI

A Heuristic for Developing Transdiagnostic Models of Psychopathology Explaining Multifinality and Divergent Trajectories

TL;DR: This article proposes a heuristic for developing transdiagnostic models that can guide theorists in explicating how a trans Diagnostic risk factor results in both multifinality and divergent trajectories and illustrates this heuristic using research on rumination.
References
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Book

Statistical Power Analysis for the Behavioral Sciences

TL;DR: The concepts of power analysis are discussed in this paper, where Chi-square Tests for Goodness of Fit and Contingency Tables, t-Test for Means, and Sign Test are used.
Book

Applied multiple regression/correlation analysis for the behavioral sciences

TL;DR: In this article, the Mathematical Basis for Multiple Regression/Correlation and Identification of the Inverse Matrix Elements is presented. But it does not address the problem of missing data.
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