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Personality and depression: A review of theory model and behavior and neural mechanism / 生理学报
Acta Physiologica Sinica ; (6): 163-172, 2019.
Article in Chinese | WPRIM | ID: wpr-777199
ABSTRACT
The analysis of the relationship between personality and depression can facilitate the development of subclinical preventive measures and clinical treatment schemes. Moreover, the personality is associated with a variety of mental diseases, and there is substantial comorbidity between depression and some other mental diseases. So, to reveal pathological relationships between personality and depression is helpful to understand the etiology of the comorbidity between depression and multiple mental disorders. In this review, we first summarize the empirical researches on the relationship between personality and depression from the aspects of behavior and neural mechanisms, and then discuss the hypothetical model to explain the relationship between personality and depression. In a word, high neuroticism, low extroversion and conscientiousness, and other related traits (rumination, self-criticism, dependency, etc.) have a moderate to strong correlation with depression. Among them, neuroticism is the most concerned. To a certain extent, it can predict the onset of depression and affect the duration and treatment outcome of depression. Other traits, such as positive emotionality/ extroversion and effortful control/responsibility, can moderate the relationship between negative emotionality/neuroticism and depression. And after the onset of depression, the neuroticism may change, but the extroversion does not seem to change.
Subject(s)
Full text: Available Index: WPRIM (Western Pacific) Main subject: Personality / Comorbidity / Depression Type of study: Prognostic study Limits: Humans Language: Chinese Journal: Acta Physiologica Sinica Year: 2019 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Personality / Comorbidity / Depression Type of study: Prognostic study Limits: Humans Language: Chinese Journal: Acta Physiologica Sinica Year: 2019 Type: Article