Cross-Sectional (n=730)
Lower-order personality traits (withdrawal, industriousness, and enthusiasm) interact to predict depressive severity in both healthy and clinical populations.
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May support personality-informed depression risk assessment; extends facet-level models but leaves open prospective validation.
OBJECTIVE: Research has shown that three personality traits-Neuroticism, Extraversion, and Conscientiousness-moderate one another in a three-way interaction that predicts depressive symptoms in healthy populations. We test the hypothesis that this effect is driven by three lower-order traits: withdrawal, industriousness, and enthusiasm. We then replicate this interaction within a clinical population for the first time. METHOD: Sample 1 included 376 healthy adults. Sample 2 included 354 patients diagnosed with current major depressive disorder. Personality and depressive tendencies were assessed via the Big Five Aspect Scales and Personality Inventory for DSM-5 in Sample 1, respectively, and by the NEO-PI-R and Beck Depression Inventory-II in Sample 2. RESULTS: Withdrawal, industriousness, and enthusiasm interacted to predict depressive tendencies in both samples. The pattern of the interaction supported a "best two out of three" principle, in which low risk scores on two trait dimensions protects against a high risk score on the third trait. Evidence was also present for a "worst two out of three" principle, in which high risk scores on two traits are associated with equivalent depressive severity as high risk scores on all three traits. CONCLUSIONS: These results highlight the importance of examining interactive effects of personality traits on psychopathology.
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Allen et al. (2017) conducted a cross-sectional in Depression (n=730). Lower-order personality traits (withdrawal, industriousness, and enthusiasm) was evaluated on Depressive tendencies.
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