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, ηp2 =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.

Objective: This study was performed to evaluate the efficacy and safety of lurasidone (160 mg/day) compared to quetiapine XR (QXR; 600 mg/day) in the treatment of acutely psychotic patients with schizophrenia. Methods: Patients were randomly assigned to 6 weeks of double-blind treatment with lurasidone 160 mg/day (n=105) or QXR 600 mg/day (n=105). Primary efficacy measure was the change from baseline to week 6 in Positive and Negative Syndrome Scale (PANSS) total score and Clinical Global Impressions severity (CGI-S) score. Adverse events, body measurements, and laboratory parameters were assessed. Results: Lurasidone demonstrated non-inferiority to QXR on the PANSS total score. Adjusted mean±standard error change at week 6 on the PANSS total score was -26.42±2.02 and -27.33±2.01 in the lurasidone and QXR group, respectively. The mean difference score was -0.91 (95% confidence interval -6.35–4.53). The lurasidone group showed a greater reduction in PANSS total and negative subscale on week 1 and a greater reduction in end-point CGI-S score compared to the QXR group. Body weight, body mass index, and waist circumference in the lurasidone group were reduced, with significantly lower mean change compared to QXR. Endpoint changes in glucose, cholesterol, triglycerides, and low-density lipoprotein levels were also significantly lower. The most common adverse drug reactions with lurasidone were akathisia and nausea. Conclusion Lurasidone 160 mg/day was found to be non-inferior to QXR 600 mg/day in the treatment of schizophrenia with comparable efficacy and tolerability. Adverse effects of lurasidone were generally tolerable, and beneficial effects on metabolic parameters can be expected.

Objectives: ：The purpose of this study is to investigate the characteristics of patients referred for delirium and depressive disorder and to find direction of improvement of consultation-liason psychiatry in general hospital. Methods: ：We performed a retrospective computed chart review of the 4,966 inpatients hospitalized at Konkuk University Hospital who were referred to the Department of Psychiatry from August 1, 2005 to December 31, 2011. Results: ：Depressive disorder shows the order of frequency of consultation type Parallel-ComplementaryMending. Delirium shows the order of frequency of consultation type Mending-Parallel-Complementary. When comparing ‘follow up consultation’ and ‘without follow up consultation’ group within the depressive disorder, the proportion of men in the ‘follow up consultation’ group was higher. In the analysis of the consultation type, the ‘follow up consultation’ group showed the order of consultation type Parallel-Mending- Complementary, and type Parallel-Complementary-Mending in the ‘without follow up consultation’ group. When comparing ‘follow up consultation’ and ‘without follow up consultation’ group within the delirium, the proportion of the surgicalfield in the ‘follow up consultation’ group was higher. In the analysis of the consultation type, both group showed the order of consultation type Mending-Parallel- Complementary. Conclusions ：Doctors in each department and psychiatrists should pay attention to delirium symptoms that may occur in surgical inpatients and preventive measures should be taken. Screening tests should be conducted in medical patients to properly evaluate coexisting psychiatric diseases. Risk factors of Delirium and Depressive disorder should be identified from the time of hospitalization, and actively discussing treatment plans and earlyinterventions could improve the quality of medical services.

Objective: Heart rate variability (HRV) reflects the regulation of the autonomic nervous system. Panic disorder is highly associated with autonomic dysfunction, and is often accompanied by depression. The aim of this study is to determine the association between depression and HRV indices in patients with panic disorder. Methods: A total of 110 outpatients diagnosed with panic disorder participated in this study. The medical records of patients with panic disorder who visited the outpatient clinic of Konkuk University Hospital between December 2018 and March 2020 were retrospectively reviewed. Measurements used in this study include the Panic Disorder Severity Scale-Self Report, Beck Depression Inventory (BDI-II), Insomnia Severity Index, and HRV. Patients were divided into depressive and non-depressive groups based on their BDI-II scores. The association between HRV indices and depressive symptoms was statistically analyzed. Results: The low frequency/high frequency (LF/HF) ratio was reduced in patients with depression (mean = −0.095, p = 0.004 in the above moderate depressive group, mean = −0.120, p = 0.020 in the severe depressive group). Significant correlations were found between depressive symptoms and standard deviation of NN interval (SDNN) (ms) (−0.19, p = 0.044), very low frequency (VLF) (ms2 /Hz) (−0.22, p = 0.021), LF (−0.25, p = 0.008), HF (−0.19, p = 0.043), and LF/HF (−0.25, p = 0.009). Multiple linear regression analysis showed that BDI predicted SDNN (ms), VLF (ms2 /Hz), LF, HF, and LF/HF. Conclusion We confirmed that the LF/HF ratio decreases when depression is accompanied by panic disorder. HRV indices may be useful markers for detecting depressive symptoms in patients with panic disorder.

Objectives: ：The purpose of this study is to investigate the characteristics of depressive patients who admitted to general hospital. We examined the clinical characteristics of patients who were referred to the Department of Psychiatry as depressive symptoms, according to the type of consultation request, and comparing ‘with re-consultation’ and ‘without re-consultation’ groups. Methods: ：We performed a retrospective chart review of 4,966 inpatients who were referred to the Department of Psychiatry from August 2005 to December 2011. Results: ：For about 6 years, among the inpatients referred for psychiatric consultation, a total of 647 patients were referred for depressive symptoms, accounting for 13.82% of the total consultations. The average age of depressive patients was 58.6 years, which was higher than the average of 56.4 years of overall patients. Among the depressive patients, 275 patients were included in ‘with re-consultation’ group and there was no statistically significant difference when comparing ‘with re-consultation’ group and ‘without re-consultation’ group. How-ever, there was a difference in the tendency of the two groups in the type of consultation request. ‘With re-consultation’ group was in the order of frequency of consultation type 3-2-1, whereas the ‘without re-consultation’ group was in the order of frequency of consultation type 2-3-1. Conclusions ：The group of inpatients who were referred for depressive symptoms in general hospital showed the largest proportion of the group of patients referred to the Department of Psychiatry. ‘With re-consultation’ group had a higher rate of re-consultation due to the occurrence of new symptoms after hospitalization compared to ‘without re-consultation’ group. Therefore, doctors in each department and psychiatrists should pay attention to the depressive symptoms of inpatients and actively discuss treatment plans to improve the quality of medical services, identify risk factors, and make efforts to intervene early if necessary.

Background: This study aimed to determine if sleep disturbances may mediate the relationship between panic symptoms and depression in patients with panic disorder (PD). Methods: Electronic medical records were retrospectively reviewed for 110 consecutive patients with diagnosed PD in an outpatient clinic between October 2018 and December 2019. Measurements include the PD Severity Scale, Beck Depression Inventory-II (BDI-II) and Insomnia Severity Index (ISI). Statistical analyses were performed to assess any potential relationship between PD, insomnia and depression. Results: Of the PD patients, 88 (80%) and 89 (80.9%) had comorbid depression (BDI-II ≥ 14) and insomnia (Korean version of the ISI ≥ 8), respectively. In a mediation model using insomnia as the mediating variable, the total effect of panic symptom severity on depression was significant (t = 7.23, P < 0.001). There were significant effects of panic symptoms on insomnia (t = 4.62,P < 0.001) and of insomnia on depression (t = 6.69, P < 0.001). The main effect of panic symptom severity on depression was also significant, after controlling for the effect of insomnia (t = 5.10, P < 0.001), suggesting partial mediation. Conclusion Both depressive symptoms and insomnia are common in patients with PD and depression was partially mediated by insomnia in these patients. These results suggest that an intervention for insomnia in patients with PD might help prevent the development of depression.

Background: This study aimed to determine if sleep disturbances may mediate the relationship between panic symptoms and depression in patients with panic disorder (PD). Methods: Electronic medical records were retrospectively reviewed for 110 consecutive patients with diagnosed PD in an outpatient clinic between October 2018 and December 2019. Measurements include the PD Severity Scale, Beck Depression Inventory-II (BDI-II) and Insomnia Severity Index (ISI). Statistical analyses were performed to assess any potential relationship between PD, insomnia and depression. Results: Of the PD patients, 88 (80%) and 89 (80.9%) had comorbid depression (BDI-II ≥ 14) and insomnia (Korean version of the ISI ≥ 8), respectively. In a mediation model using insomnia as the mediating variable, the total effect of panic symptom severity on depression was significant (t = 7.23, P < 0.001). There were significant effects of panic symptoms on insomnia (t = 4.62,P < 0.001) and of insomnia on depression (t = 6.69, P < 0.001). The main effect of panic symptom severity on depression was also significant, after controlling for the effect of insomnia (t = 5.10, P < 0.001), suggesting partial mediation. Conclusion Both depressive symptoms and insomnia are common in patients with PD and depression was partially mediated by insomnia in these patients. These results suggest that an intervention for insomnia in patients with PD might help prevent the development of depression.

Objective: This study aimed to investigate the potential correlation between baseline characteristics of individuals visiting an emergency room for a suicide attempt and subsequent psychiatric outpatient treatment adherence. Methods: Medical records of 525 subjects, who visited an emergency room at a university-affiliated hospital for a suicide attempt between January 2017 and December 2018 were retrospectively reviewed. Potential associations between baseline characteristics and psychiatric outpatient visitation were statistically analyzed. Results: 107 out of 525 individuals (20.4%) who attempted suicide visited an outpatient clinic after the initial emergency room visit. Several factors (e.g., sober during suicide attempt, college degree, practicing religion, psychiatric treatment history) were significantly related to better psychiatric outpatient follow-up. Conclusion Several demographic and clinical factors predicted outpatient adherence following a suicide attempt. Therefore, additional attention should be given to suicide attempters who are at the risk of non-adherence by practitioners in the emergency room.

OBJECTIVE: A defense mechanism is an automatic psychological process necessary for successful adaptation. It reflects adaptive capacity. The purpose of this study is to explore the relationship between the adaptation ability of individuals who face mandatory military service and the pattern of defense mechanisms. METHODS: The subjects were 69 men (21.4±2.2 years) who expressed psychological difficulties in three military service situations. Control group was 36 men (24.0±1.4 years) who had successfully completed military service. We examined psychiatric history, the pattern of defense mechanisms, and depression and anxiety levels. Defense mechanisms were compared between two groups. RESULTS: The maladjusted group used immature defenses more frequently than the control group did. There were no differences in the defense patterns according to diagnosis. The control group used more identification and rationalization, classified as immature defenses. The temporarily maladjusted group used more somatization, regression, and avoidance. CONCLUSION: Using mature defense mechanisms helped young adults to adapt to a particular situation. The maturity of the defense is more valuable than the psychiatric diagnosis. Some immature defenses are also helpful to adapt. We cautiously assume that some defenses can be protective or risk factors in adapting to stressful situations by young adults.
Anxiety ; Defense Mechanisms ; Depression ; Diagnosis ; Humans ; Korea ; Male ; Mental Disorders ; Military Personnel ; Rationalization ; Risk Factors ; Social Adjustment ; Young Adult

OBJECTIVES: Insomnia patients who visited the psychiatric outpatient of a university department, were divided into those patients with insomnia alone and those with depression or anxiety disorder, along with insomnia. The study analyzed their demographic characteristics and the differences in State-Trait Anxiety Inventory (STAI) results among the patient groups. METHODS: Patients who visited the psychiatric department in Konkuk University hospital from 1 January 2006 to 31 December 2018. If they were diagnosed with insomnia disorder based on DSM IV-TR and had undergone STAI, their electronic records were retrospectively analyzed. Based on the records, the patients were classified into those with insomnia disorder only, those with insomnia and anxiety disorder, and those with insomnia and depressive disorder. This study analyzed the demographic characteristics and STAI results of each group, and compared the differences among those groups. RESULTS: During the period, 99 of 329 insomnia disorder patients who had performed STAI were diagnosed with depressive concurrent disorder and 61 with concurrent anxiety disorder. There was no difference in demographic characteristics of age and sex ratio among the three patient groups, and all had greater than 70% proportions of patients aged from 50s to 70s (71.8%, 77.1%, and 73.8% respectively). The average scores of STAI-I were 51.85 ± 10.15 for the patients with anxiety disorders and 54.18 ± 10.32 for those with depressive disorders, both of which were higher than the score of the patients with insomnia alone (44.55 ± 8.89). However, the score difference was not statically significant between the anxiety and depression groups. Similarly, in the STAI-II comparison, the averages of patients with anxiety or depressive disorders along with insomnia were 49.98 ± 8.31 and 53.19 ± 10.13 respectively, which were higher than that of the insomnia only group (42.71 ± 8.84), but there was no significant difference between the anxiety and depressive disorder groups. CONCLUSION Although there were no differences in demographic data between the patients with insomnia only and those with accompanying depressive or anxiety disorder, the STAI-I and II scores were lower in the insomnia only group. In the future, it is necessary to consider other demographic characteristics including comorbidities and to conduct similar analyses with a larger sample.