Clinical Features according to Temperament Clusters in Depressive Disorder

최지영,

doi:10.15842/kjcp.2016.35.4.001

Cited by 1 publication

(3 citation statements)

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“…These results are consistent with those of Choi [ 36 ], who explored temperament types in depressive disorders. She identified four temperament types (alienated cowardly, flexible, sensitive, and explosive) and revealed that even the same depressive disorder had different clinical patterns depending on the temperament type.…”

Section: Discussionsupporting

confidence: 92%

“…She suggested that HA is a predisposition to depression, and our findings showed that it also plays an important role in PD progression. “High HA” level may be an important common etiological factor for depression and anxiety [ 36 - 38 ].…”

Section: Discussionmentioning

confidence: 99%

“…"High HA" level may be an important common etiological factor for depression and anxiety. [36][37][38] Most studies, including Choi's, focused only on temperament. They all compared the distinct dimensions between patient and control groups, even if character was studied.…”

Section: Discussionmentioning

confidence: 99%

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Temperament Clusters in Patients With Panic Disorder in Relation to Character Maturity

Kim,

Hong,

Park

et al. 2024

Psychiatry Investig

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Objective This study explored whether temperament profiles are associated with psychological functioning and whether character maturity affects this association in patients with panic disorders (PD).Methods A total of 270 patients with PD were enrolled in this study. Measurements included the Temperament and Character Inventory-revised-short (TCI-RS), a self-report version of the Panic Disorder Severity Scale (PDSS-SR), Beck Depression Inventory-II (BDI-II), and Spielberger State-Trait Anxiety Inventory (STAI). Cluster analysis was used to define the patients’ temperament profiles, and the differences in discrete variables among temperament clusters were calculated using a one-way analysis of variance. An analysis of covariance was conducted to control for the impact of character maturity on psychological functioning among clusters.Results We identified four temperament clusters of patients with PD. Significant differences in the PDSS-SR, BDI-II, STAI-state, and STAI-trait scores among the four clusters were detected [F(3, 262)=9.16, p<0.001; F(3, 266)=33.78, p<0.001; F(3, 266)=19.12, p<0.001; F(3, 266)=39.46, p<0.001]. However, after controlling for the effect of character maturity, the effect of cluster type was either eliminated or reduced ([STAI-state] cluster type: F(3, 262)=0.94, p>0.05; SD+CO: F(1, 262)=65.95, p<0.001, η<sub>p</sub><sup>2</sup> =0.20).Conclusion This study enabled a more comprehensive and integrated understanding of patients by exploring the configuration of all temperament dimensions together rather than each temperament separately. Furthermore, we revealed that depending on the degree of character maturity, the psychological functioning might differ even within the same temperament cluster. These results imply that character maturity can complement inherently vulnerable temperament expression.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 99%