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• W1721977615 abstract "Background. The aim of this study was to examine the intricate relationship between some personality traits (i.e., attributional style, perceived control over consequences, self-esteem), and depressive mood in a nonclinical sample (N= 334). Method. Structural equation modelling was used to estimate five competing models: two vulnerability models describing the effects of personality traits on depressive mood, one scar model describing the effects of depression on personality traits, a mixed model describing the effects of attributional style and perceived control over consequences on depressive mood, which in turn affects self-esteem, and a reciprocal model which is a non-recursive version of the mixed model that specifies bidirectional effects between depressive mood and self-esteem. Results. The best-fitting model was the mixed model. Moreover, we observed a significant negative effect of depression on self-esteem, but no effect in the opposite direction. Conclusions. These findings provide supporting arguments against the continuum model of the relationship between self-esteem and depression, and lend substantial support to the scar model, which claims that depressive mood damages and erodes self-esteem. In addition, the ‘depressogenic’ nature of the pessimistic attributional style, and the ‘antidepressant’ nature of perceived control over consequences plead in favour of the vulnerability model. Practitioner Points • Pessimistic explanatory style and perceived control over consequences were found to be depressogenic, acting as vulnerability factors for depression. • Depression was found to erode and damage self-esteem (i.e., ‘scarring’ effect)." @default.
• W1721977615 created "2016-06-24" @default.
• W1721977615 creator A5004629198 @default.
• W1721977615 creator A5010100202 @default.
• W1721977615 date "2012-05-17" @default.
• W1721977615 modified "2023-09-23" @default.
• W1721977615 title "Relationship between attributional style, perceived control, self-esteem, and depressive mood in a nonclinical sample: A structural equation-modelling approach" @default.
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• W1721977615 doi "https://doi.org/10.1111/j.2044-8341.2012.02067.x" @default.
• W1721977615 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/24217866" @default.
• W1721977615 hasPublicationYear "2012" @default.
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