Investigation and Analysis on the Characteristics of Five Personalities of the Depressed Patients
Zhen Li, Manli Jiang, Tianlin Chen, Lan Luo
Available Online June 2018.
- https://doi.org/10.2991/icmess-18.2018.179How to use a DOI?
- Depressed Patients; The Five State Personality; Personality Characteristics; Investigation
- For the investigation of the characteristics of the depressed patients, this paper tests 52 depressed patients by means of the Big Five Personality Test Scale. And the results obtained show the scores of the depressed patients in the personality dimension of Tai-yang, Shao-yang, Yin-Yang Balance are significantly lower than that of the national normal; There is no significant difference in the Shao-yin personality dimension between the depressed patients and the national normal; The scores of the depressed patients in Tai-yin personality dimension are significantly higher than that of the national normal. Moreover, the scores of the male depressed patients in the personality dimension of Tai-yang, Shao-yang, Yin-Yang Balance, Shao-yin are significantly lower than that of the female patients while the scores in Tai-yin personality dimension are significantly higher than that of the female patients. And it is noticeable that the personality dimension of Tai-yin accounts for a dominant position among all the personality dimensions for depressed patients, and the male depressed patients are more serious than the female patients when it comes to the pathological abnormality.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Zhen Li AU - Manli Jiang AU - Tianlin Chen AU - Lan Luo PY - 2018/06 DA - 2018/06 TI - Investigation and Analysis on the Characteristics of Five Personalities of the Depressed Patients BT - 2018 2nd International Conference on Management, Education and Social Science (ICMESS 2018) PB - Atlantis Press SP - 816 EP - 819 SN - 2352-5398 UR - https://doi.org/10.2991/icmess-18.2018.179 DO - https://doi.org/10.2991/icmess-18.2018.179 ID - Li2018/06 ER -