This study aimed at exploring the psychometric characteristics of the Korean Version of the Depression and Somatic Symptoms Scale (DSSS) in a clinical sample, and investigating the impact of somatic symptoms on the severity of depression. Participants were 203 consecutive outpatients with current major depressive disorders (MDD) or lifetime diagnosis of MDD. The DSSS was compared with the Montgomery-Åsberg Depression Rating Scale (MADRS) and the 17-items Hamilton Depression Rating Scale (HAMD). The DSSS showed a two-factor structure that accounted for 56.8% of the variance, as well as excellent internal consistency (Cronbach’s alpha = 0.95), concurrent validity (r = 0.44–0.82), and temporal stability (intraclass correlation coefficient = 0.79). The DSSS had a high ability to identify patients in non-remission (area under receiver operating characteristic [ROC] curve = 0.887). Maximal discrimination between remission and non-full remission was obtained at a cut-off score of 22 (sensitivity = 82.1%, specificity = 81.4%). The number of somatic symptoms (the range of somatic symptoms) and the scores on the somatic subscale (SS, the severity of somatic symptoms) in non-remission patients were greater than those in remission patients. The number of somatic symptoms (slope = 0.148) and the SS score (slope = 0.472) were confirmed as excellent predictors of the depression severity as indicated by the MADRS scores. The findings indicate that the DSSS is a useful tool for simultaneously, rapidly, and accurately measuring depression and somatic symptoms in clinical practice settings and in consultation fields.
Depression* ; Depressive Disorder, Major ; Diagnosis ; Discrimination (Psychology) ; Humans ; Outpatients ; Psychometrics ; ROC Curve ; Sensitivity and Specificity

The objective of this study was to develop the Somatic Stress Response Scale (SSRS), and then to use the scale in clinical practice. A preliminary survey was conducted using 109 healthy adults to obtain somatic stress responses. Then, 215 healthy subjects completed a preliminary questionnaire. A comparison was made regarding the somatic stress responses among 191 patients (71 with anxiety disorders, 73 with depressive disorders and 47 with somatoform disorders) and 215 healthy subjects. Factor analysis of the SSRS yielded five subscales: the cardiorespiratory response, somatic sensitivity, gastrointestinal response, general somatic response and genitourinary response subscales. The test-retest reliability for the five subscales and the total score was significantly high, ranging from .86 to .94. The Cronbach's yen afor the five subscales ranged from .72 to .92, and was .95 for the total score. By correlating the five subscales and the total score of the SSRS with the somatization subscale scores of the Symptom Checklist-90-Revised (SCL-90-R), convergent validity was calculated. The correlations were all at significant levels. Each of the disorder groups was significantly higher in scores of the cardiorespiratory response, gastrointestinal response, general somatic response and genitourinary response subscale, and in the total SSRS score than the healthy group. Only the depressive disorder group scored significantly higher on the somatic sensitivity subscale than the healthy group, and they also scored significantly higher on the genitourinary response subscale than the anxiety disorder group did. These results suggest that the SSRS is highly reliable and valid, and that it can be effectively utilized as a measure for research of the somatic symptoms related to stress. It also implies that somatic sensitivity and genitourinary responses are associated with depressive disorders.
Stress, Psychological/*diagnosis ; Somatoform Disorders/*psychology ; *Psychiatric Status Rating Scales ; Middle Aged ; Male ; Humans ; Female ; Depressive Disorder/*psychology ; Demography ; Anxiety Disorders/*psychology ; Aged ; Adult

Depression during adolescence is critical to the individual's own development. Hence, identifying individuals with high-risk depression at an early stage is necessary. This study aimed to identify childhood emotional and behavioral risk factors related to depressive symptoms in Korean adolescents through a longitudinal study. The first survey took place from 1998 to 2000, and a follow-up assessment conducted in 2006, as the original participants reached 13-15 yr of age. The first assessment used the Korean version of Child Behavior Checklist and a general questionnaire on family structure, parental education, and economic status to evaluate the participants. The follow-up assessment administered the Korean Children's Depression Inventory. Multiple regression analysis revealed that childhood attention problems predicted depressive symptoms during adolescence for both boys and girls. For boys, family structure also predicted adolescent depressive symptoms. This study suggests that adolescents with attention problems during childhood are more likely to experience depressive symptoms.
Adolescent ; Attention Deficit Disorder with Hyperactivity/etiology/*psychology ; Depression/complications/diagnosis/*psychology ; Depressive Disorder/complications/diagnosis/*psychology ; Family ; Female ; Humans ; Longitudinal Studies ; Male ; Questionnaires ; Republic of Korea ; Risk Factors ; Sex Factors

We aimed to examine the potential relationship between season of birth (SOB) and clinical characteristics in Korean patients with unipolar non-psychotic major depressive disorder (MDD). Using data from the Clinical Research Center for Depression (CRESCEND) study in South Korea, 891 MDD patients were divided into two groups, those born in spring/summer (n=457) and those born in autumn/winter (n=434). Measurement tools comprising the Hamilton Depression Rating Scale, Hamilton Anxiety Rating Scale, Brief Psychiatric Rating Scale, Scale for Suicidal Ideation, Clinical Global Impression of severity, Social and Occupation Functional Assessment Scale, WHO Quality of Life assessment instrument-abbreviated version, Alcohol Use Disorder Identification Test, and Temperament and Character Inventory were used to evaluate depression, anxiety, overall symptoms, suicidal ideation, global severity, social function, quality of life, drinking, and temperament and character, respectively. Using independent t-tests for continuous variables and χ2 tests for discrete variables, the clinical characteristics of the two groups were compared. MDD patients born in spring/summer were on average younger at onset of first depressive episode (t=2.084, p=0.038), had greater loss of concentration (χ2=4.589, p=0.032), and were more self-directed (t=2.256, p=0.025) than those born in autumn/winter. Clinically, there was a trend for the MDD patients born in spring/summer to display the contradictory characteristics of more severe clinical course and less illness burden; this may have been partly due to a paradoxical effect of the 5-HT system.
Adult ; Age of Onset ; Aged ; Alcohol Drinking ; Bipolar Disorder/*diagnosis/*ethnology/psychology ; Character ; Cost of Illness ; Depression ; Depressive Disorder, Major/*diagnosis/*ethnology/psychology ; Female ; Humans ; Male ; Middle Aged ; Personality Inventory/statistics & numerical data ; *Quality of Life ; Republic of Korea/epidemiology ; *Seasons ; Temperament

INTRODUCTIONLiterature has shown that individuals with various psychiatric disorders experience a lower quality of life (QoL). However, few have examined QoL across disorders. The current study explored differences in QoL and symptom severity across 4 psychiatric diagnostic groups: anxiety disorders (including obsessive compulsive disorder [OCD]), depressive disorders, schizophrenia, and pathological gambling.

MATERIALS AND METHODSData analysed was from a previous study that examined the prevalence of hoarding symptoms among outpatients (n = 500) in a tertiary psychiatric hospital in Singapore. Measures utilised included the Beck Anxiety Inventory (BAI), Beck Depression Inventory-II (BDI-II) and Quality of Life Enjoyment and Satisfaction QuestionnaireShort Form (Q-LES-Q-SF). Sociodemographic information and details on type and number of comorbidities were also collected.

RESULTSThe depressive disorder group had the highest level of depressive and anxiety symptoms and the lowest QoL whereas; the schizophrenia group had the lowest level of depressive symptoms and the highest QoL. Age and employment status were the only sociodemographic correlates which were significantly associated with QoL. After controlling for sociodemographic factors, only the type of mental disorder was found to have a significant effect in explaining BAI, BDI-II and Q-LES-Q-SF.

CONCLUSIONFindings offer insight in terms of the burden associated with the various disorders.

Adult ; Anxiety Disorders ; epidemiology ; psychology ; Comorbidity ; Cost of Illness ; Demography ; Depressive Disorder ; epidemiology ; psychology ; Female ; Gambling ; epidemiology ; psychology ; Humans ; Male ; Middle Aged ; Outpatients ; psychology ; statistics & numerical data ; Psychiatric Status Rating Scales ; Quality of Life ; Schizophrenia ; diagnosis ; epidemiology ; Singapore ; epidemiology ; Socioeconomic Factors

PURPOSE: This study was done to provide fundamental data for developing a depression prediction model by discovering main factors that affect depression in patients who do maintenance hemodialysis. METHOD: The subjects were 191 patients doing maintenance hemodialysis selected from outpatient dialysis clinics at 9 major general hospitals, The Instrument tools utilized in this study were adapted from depression, fatigue, sleep disturbance, stress, adaptation,symptoms, daily activities, and role limitation and thoroughly modified to verify reliability and validity. The collected data was analyzed with a SPSS-PC 11.0 Window Statistics Program for real numbers, percentage, average, standard deviation, and multiple regression. RESULTS: The correlation factor for depression was (M=2.54) fatigue(M=3.12), sleep disturbance (M=2.82), stress(M=3.04), adaptation(M=2.53), daily activities(M=2.24), symptoms(M=2.37), and role limitation(M=2.24). The strongest factor that affected depression was explained by symptoms of the patients who performed hemodialysis. The analysis of the factors that affected depression revealed a 58.4% prediction in symptoms, stress, role limitation, and adaptation. CONCLUSION: It has been confirmed that the regression equation model(Depression=7.351 + .266*symptoms + .260*stress -.189*adaptation + .057*fatigue) of this research may serve as a prediction factor for depression in Hemodialysis Patients.
Stress, Psychological/etiology ; Sleep Disorders/etiology ; Risk Factors ; Renal Dialysis/adverse effects/*psychology ; Middle Aged ; Male ; Humans ; Female ; Fatigue/etiology ; Depressive Disorder/diagnosis/*etiology ; Adult

OBJECTIVE: Currently, there are a few biological markers to aid in the diagnosis and treatment of depression. However, it is not sufficient for diagnosis. We attempted to identify differentially expressed proteins during depressive moods as putative diagnostic biomarkers by using quantitative proteomic analysis of serum. METHODS: Blood samples were collected twice from five patients with major depressive disorder (MDD) at depressive status before treatment and at remission status during treatment. Samples were individually analyzed by liquid chromatography-tandem mass spectrometry for protein profiling. Differentially expressed proteins were analyzed by label-free quantification. Enzyme-linked immunosorbent assay (ELISA) results and receiver-operating characteristic (ROC) curves were used to validate the differentially expressed proteins. For validation, 8 patients with MDD including 3 additional patients and 8 matched normal controls were analyzed. RESULTS: The quantitative proteomic studies identified 10 proteins that were consistently upregulated or downregulated in 5 MDD patients. ELISA yielded results consistent with the proteomic analysis for 3 proteins. Expression levels were significantly different between normal controls and MDD patients. The 3 proteins were ceruloplasmin, inter-alpha-trypsin inhibitor heavy chain H4 and complement component 1qC, which were upregulated during the depressive status. The depressive status could be distinguished from the euthymic status from the ROC curves for these proteins, and this discrimination was enhanced when all 3 proteins were analyzed together. CONCLUSION: This is the first proteomic study in MDD patients to compare intra-individual differences dependent on mood. This technique could be a useful approach to identify MDD biomarkers, but requires additional proteomic studies for validation.
Biomarkers ; Ceruloplasmin ; Complement System Proteins ; Depression ; Depressive Disorder, Major* ; Diagnosis ; Discrimination (Psychology) ; Enzyme-Linked Immunosorbent Assay ; Humans ; Inflammation ; Mass Spectrometry ; Neurotransmitter Agents ; Proteomics ; ROC Curve

This study was conducted to investigate the association between the chronic obstructive pulmonary disease (COPD) assessment test (CAT) and depression in COPD patients. The Korean versions of the CAT and patient health questionnaire-9 (PHQ-9) were used to assess COPD symptoms and depressive disorder, respectively. In total, 803 patients with COPD were enrolled from 32 hospitals and the prevalence of depression was 23.8%. The CAT score correlated well with the PHQ-9 score (r=0.631; P<0.001) and was significantly associated with the presence of depression (beta+/-standard error, 0.452+/-0.020; P<0.001). There was a tendency toward increasing severity of depression in patients with higher CAT scores. By assessment groups based on the 2011 Global Initiative for Chronic Obstructive Lung Disease guidelines, the prevalence of depression was affected more by current symptoms than by airway limitation. The area under the receiver operating characteristic curve for the CAT was 0.849 for predicting depression, and CAT scores > or =21 had the highest accuracy rate (80.6%). Among the eight CAT items, energy score showed the best correlation and highest power of discrimination. CAT scores are significantly associated with the presence of depression and have good performance for predicting depression in COPD patients.
Aged ; Depression/*epidemiology ; Depressive Disorder/*epidemiology ; Female ; Humans ; Male ; Prevalence ; Pulmonary Disease, Chronic Obstructive/*diagnosis/*epidemiology/psychology ; Quality of Life ; Questionnaires ; Severity of Illness Index

PURPOSE: Our purpose was to investigate psychological problems and clinical outcomes in children with psychogenic non-epileptic seizures (PNES). MATERIALS AND METHODS: We retrospectively reviewed the data of 25 patients who were diagnosed with PNES between 2006 and 2012. RESULTS: Twenty-five children with PNES, aged 8 to 19 years (mean 13.82), were referred to psychiatrists for psychiatric assessment. On their initial visit, 72% of patients had comorbid psychological problems, including depression, anxiety, conduct disorder, adjustment disorder, Attention Deficit Hyperactivity Disorder, schizophrenia, and bipolar disorder. Among these, depression was the most frequent (36%). Predisposing and triggering factors included familial distress (40%), social distress (24%), and specific events (20%). The following treatment was advised based on the results of the initial psychological assessment: 3 patients regularly visited psychiatric clinic to assess their clinical status without treatment, nine underwent psychotherapy, and 13 received a combination of psychotherapy and psychopharmacological therapy. At the mean follow-up of 31.5 months after diagnosis, 20 patients (80%) were event-free at follow-up, three (12%) showed reduced frequency, and two (8%) experienced persistent symptoms. CONCLUSION: The outcomes of PNES in children are much better than those in adults, despite a high rate of psychological comorbidities.
Adolescent ; Adult ; Anxiety/epidemiology ; Attention Deficit Disorder with Hyperactivity/epidemiology ; Child ; Child, Preschool ; Comorbidity ; Depression/epidemiology ; Depressive Disorder/epidemiology/psychology ; Electroencephalography ; Female ; Humans ; Male ; Mental Disorders/*diagnosis/epidemiology/*psychology ; Middle Aged ; Psychophysiologic Disorders/*diagnosis/*psychology ; Psychotherapy ; Retrospective Studies ; Seizures/diagnosis/*psychology/*therapy ; Treatment Outcome ; Young Adult

PURPOSE: The purpose of this study was to evaluate the effects of age at onset of the first major depressive episode on the clinical features of individuals with major depressive disorder (MDD) in a large cohort of Korean depressed patients. MATERIALS AND METHODS: We recruited 419 MDD patients of age over 18 years from the Clinical Research Center for Depression study in South Korea. At the start of the study, the onset age of the first major depressive episode was self-reported by the subjects. The subjects were divided into four age-at-onset subgroups: childhood and adolescent onset (ages <18), early adult onset (ages 18-44), middle adult onset (ages 45-59), and late onset (ages 60+). Using analysis of covariance (ANCOVA) and ordinal logistic regression analysis with adjusting the effect of age, the relationships between clinical features and age at onset of MDD were evaluated. RESULTS: There was an apparent, but inconsistent correlation between clinical features and age at onset. Earlier onset MDD was significantly associated with higher proportion of female gender [adjusted odds ratio (AOR)=0.570, p=0.022], more previous suicide attempts (AOR=0.635, p=0.038), greater number of previous depressive episodes (F=3.475, p=0.016) and higher scores on the brief psychiatric rating scale (F=3.254, p=0.022), its negative symptom subscale (F=6.082, p<0.0001), and the alcohol use disorder identification test (F=7.061, p<0.0001). CONCLUSION: Early age at onset may increase the likelihood of distinguishable MDD subtype, and age at onset of the first major depressive episode is a promising clinical indicator for the clinical presentation, course, and outcome of MDD.
Adolescent ; Adult ; Age Distribution ; Age of Onset ; Aged ; Depression/epidemiology ; Depressive Disorder, Major/*classification/*diagnosis/psychology ; Female ; Humans ; Life Change Events ; Male ; Middle Aged ; Odds Ratio ; Psychiatric Status Rating Scales ; Regression Analysis ; Republic of Korea ; Suicide, Attempted/psychology ; Young Adult