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Psychopathology ; 42(4): 249-56, 2009.
Article in English | MEDLINE | ID: mdl-19521141

ABSTRACT

BACKGROUND: Recent studies suggest that mood-disorder-related personality traits predict depressive mood changes (DMC) in nonclinical populations. SAMPLING AND METHODS: In this study we examined the predictability of DMC in a nonclinical sample consisting of 351 Japanese company employees, with temperament and melancholic type personality as measured by the Temperament Evaluation of Memphis, Pisa, Paris and San Diego and the Munich Personality Test. We also analyzed the mediating roles of dysfunctional attitudes and coping styles. Subjects were assessed for depressive mood, temperament and personality traits in May 2002 (time 1) and May 2004 (time 2), and dysfunctional attitudes and coping styles at time 2. RESULTS AND CONCLUSION: Results of hierarchical multiple regressions showed that depressive, cyclothymic and hyperthymic temperaments and melancholic type at time 1 significantly predicted DMC from time 1 to time 2, after controlling for demographic variables and the level of depressive mood at time 1. Path analysis results showed that depressive, cyclothymic and hyperthymic temperaments and melancholic type significantly predicted DMC, a certain part of the influence of depressive, cyclothymic and hyperthymic temperaments and melancholic type was significantly mediated via coping styles and that the influence of melancholic type was also mediated via dysfunctional attitudes. These findings provide clues for the targeting of interventions.


Subject(s)
Affect , Depressive Disorder/diagnosis , Personality Inventory/statistics & numerical data , Temperament , Adaptation, Psychological , Adult , Attitude , Cyclothymic Disorder/diagnosis , Cyclothymic Disorder/psychology , Depressive Disorder/psychology , Diagnosis, Differential , Female , Follow-Up Studies , Humans , Male , Middle Aged , Models, Psychological , Problem Solving , Prospective Studies , Psychometrics/statistics & numerical data , Reproducibility of Results , Risk Factors
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