No abstract available.
Humans ; Republic of Korea ; Stress Disorders, Post-Traumatic/*diagnosis/*psychology/therapy

PURPOSE: The SPAN, which is acronym standing for its four components: Startle, Physiological arousal, Anger, and Numbness, is a short post-traumatic stress disorder (PTSD) screening scale. This study sought to develop and validate a Korean version of the SPAN (SPAN-K). MATERIALS AND METHODS: Ninety-three PTSD patients (PTSD group), 73 patients with non-psychotic psychiatric disorders (psychiatric control group), and 88 healthy participants (normal control group) were recruited for this study. Participants completed a variety of psychiatric assessments including the SPAN-K, the Davidson Trauma Scale (DTS), the Clinician-Administered PTSD Scale (CAPS), and the State-Trait Anxiety Inventory (STAI). RESULTS: Cronbach's alpha and test-retest reliability values for the SPAN-K were both 0.80. Mean SPAN-K scores were 10.06 for the PTSD group, 4.94 for the psychiatric control group, and 1.42 for the normal control group. With respect to concurrent validity, correlation coefficients were 0.87 for SPAN-K vs. CAPS total scores (p<0.001) and 0.86 for SPAN-K vs. DTS scores (p<0.001). Additionally, correlation coefficients were 0.31 and 0.42 for SPAN-K vs. STAI-S and STAI-T, respectively. Receiver operating characteristic analysis of SPAN-K showed good diagnostic accuracy with an area under the curve (AUC) of 0.87. The SPAN-K showed the highest efficiency at a cutoff score of 7, with a sensitivity of 0.83, a specificity of 0.81, positive predictive value (PPV) of 0.88, and negative predictive value (NPV) of 0.73. CONCLUSION: These results suggest that the SPAN-K had good psychometric properties and may be a useful instrument for rapid screening of PTSD patients.
Humans ; *Psychological Techniques ; Republic of Korea ; Sensitivity and Specificity ; Stress Disorders, Post-Traumatic/*diagnosis/psychology

OBJECTIVETo investigate the occurrence and associated factors for posttraumatic stress disorder (PTSD) in rescuers and firefighters.

METHODSThe PTSD of 264 rescuers and firefighters who had participated in rescue was evaluated using the self-designed fireman general situation questionnaire and PTSD Checklist-Civilian Version (PCL-C). The factors associated with the occurrence of PTSD were also analyzed.

RESULTSThe incidence rate of PTSD in the subjects was 8.3%. The PTSD rate of special service corps (12%) was significantly higher than that of other subjects (P<0.05). The incidence of PTSD was highest in the rescuers and firefighters above the third rank, but without significant differences (P>0.05). The PTSD rate of married rescuers and firefighters was significantly higher than that of unmarried subjects (P<0.05). The PTSD rate of subjects addicted to drinking was significantly higher than that of non-drinking subjects (P<0.05). Subjects with more frequent attendance were more susceptible to PTSD compared with those with less attendance.

CONCLUSIONThe incidence rate of PTSD is high in rescuers and firefighters who have attended rescues. It is necessary to implement both short-term and long-term counseling programs for stress management and intervention in order to reduce the psychological trauma after rescue and improve the mental health of rescuers and firefighters.

OBJECTIVES: Firefighters are prone to suffer from psychological trauma and post-traumatic stress disorder (PTSD) in the workplace, and have a poor prognosis after PTSD. Reliable models for predicting PTSD allow for effective identification and intervention for patients with early PTSD. By collecting the psychological traits, psychological states and work situations of firefighters, this study aims to develop a machine learning algorithm with the aim of effectively and accurately identifying the onset of PTSD in firefighters, as well as detecting some important predictors of PTSD onset. METHODS: This study conducted a cross-sectional survey through convenient sampling of firefighters from 20 fire brigades in Changsha, which were evenly distributed across 6 districts and Changsha County, with a total of 628 firefighters. We used the synthetic minority oversampling technique (SMOTE) to process data sets and used grid search to finish the parameter tuning. The predictive capability of several commonly used machine learning models was compared by 5-fold cross-validation and using the area under the receiver operating characteristic curve (ROC-AUC), accuracy, precision, recall, and F1 score. RESULTS: The random forest model achieved good performance in predicting PTSD with an average AUC score at 0.790. The mean accuracy of the model was 90.1%, with an F1 score of 0.945. The three most important predictors were perseverance, forced thinking, and reflective deep thinking, with weights of 0.165, 0.158, and 0.152, respectively. The next most important predictors were employment time, psychological power, and optimism. CONCLUSIONS PTSD onset prediction model for Changsha firefighters constructed by random forest has strong predictive ability, and both psychological characteristics and work situation can be used as predictors of PTSD onset risk for firefighters. In the next step of the study, validation using other large datasets is needed to ensure that the predictive models can be used in clinical setting.
Humans ; Stress Disorders, Post-Traumatic/diagnosis* ; Firefighters/psychology* ; Cross-Sectional Studies ; Algorithms ; Machine Learning

The purpose of the present study was to develop a Korean version of the trauma symptom checklist for children (TSCC) and to examine its reliability and validity for screening posttraumatic stress symptoms. A normative group of 405 children and adolescents aged 8 to 16 yr participated in the study. A test-retest procedure was conducted with 76 participants from the normative group after 4 weeks. In the traumatized group, 73 children and adolescents of the same age from the Child Sexual Abuse Treatment Center were included. Good internal consistency (Cronbach's alpha) for the total scale (0.95, ranging 0.79-0.85 on the clinical scales) and test-retest reliability for the total scale (r=0.91, ranging 0.71-0.87 on the clinical scales) were found. Confirmatory 6-factor analysis explained 51.1% of the variance. Other measures such as concurrent or discriminative validity were also shown to be satisfactory. In conclusion, the Korean version of TSCC has been shown to be a screening instrument with satisfactory psychometric qualities that is capable of identifying trauma symptoms among children and adolescents who have self-reported experiencing trauma or for whom clinicians have identified traumatic experiences.
Adolescent ; Analysis of Variance ; Anxiety ; Asian Continental Ancestry Group ; Checklist/*methods ; Child ; Child Abuse, Sexual/psychology ; Depression/psychology ; Female ; Humans ; Male ; Mental Disorders/diagnosis/psychology ; Observer Variation ; *Psychology, Adolescent ; Psychometrics ; Questionnaires ; Reproducibility of Results ; Republic of Korea ; Stress Disorders, Post-Traumatic/diagnosis/*psychology

For diagnosis and management of post-traumatic stress disorder (PTSD), the easily administered assessment tool is essential. Structured Interview for PTSD (SIP) is a validated, 17-item, simple measurement being used widely. We aimed to develop the Korean version of SIP (K-SIP) and investigated its psychometric properties. Ninety-three subjects with PTSD, 73 subjects with mood disorder or anxiety disorder as a psychiatric control group, and 88 subjects as a healthy control group were enrolled in this study. All subjects completed psychometric assessments that included the K-SIP, the Korean versions of the Clinician-Administered PTSD Scale (CAPS) and other assessment tools. The K-SIP presented good internal consistency (Cronbach's alpha=0.92) and test-retest reliability (r=0.87). K-SIP showed strong correlations with CAPS (r=0.72). Among three groups including PTSD patients, psychiatric controls, and normal controls, there were significant differences in the K-SIP total score. The potential cut-off total score of K-SIP was 20 with highest diagnostic efficiency (91.9%). At this point, the sensitivity and specificity were 95.5% and 88.4%, respectively. Our result showed that K-SIP had good reliability and validity. We expect that K-SIP will be used as a simple but structured instrument for assessment of PTSD.
Adult ; Anxiety Disorders/diagnosis/psychology ; Area Under Curve ; Asian Continental Ancestry Group ; Demography ; Female ; Humans ; Interviews as Topic ; Male ; Middle Aged ; Mood Disorders/diagnosis/psychology ; Psychiatric Status Rating Scales ; Psychometrics ; Sensitivity and Specificity ; Stress Disorders, Post-Traumatic/*diagnosis/*psychology

OBJECTIVES: The goal of this paper is to examine the social network effects on post-traumatic sdress disorder (PTSD) in female North Korean immigrants who entered South Korea in 2007. Specifically, it attempts to verify if the density and composition of networks make a difference after controlling for the network size. METHODS: A multivariate logistic regression is used to probe the effects of social networks using the North Korean Immigrant Panel data set. Because the data set had only completed its initial survey when this paper was written, the analysis was cross-sectional. RESULTS: The size of the support networks was systematically related to PTSD. Female North Korean immigrants with more supporting ties were less likely to develop PTSD, even after controlling for other risk factors (odds-ratio for one more tie was 0.8). However, once we control for the size of the network, neither the density nor the composition of the networks remains statistically significant. CONCLUSIONS: The prevalence of the PTSD among female North Korean immigrants is alarmingly high, and regardless of the characteristics of supporting network members, the size of the supporting networks provides substantial protection. This implies that a simple strategy that focuses on increasing the number of supporting ties will be effective among North Korean immigrants who entered South Korea in recent years.
Adult ; Cross-Sectional Studies ; Democratic People's Republic of Korea ; Emigrants and Immigrants/*psychology ; Female ; Humans ; Interviews as Topic ; Life Change Events ; Logistic Models ; Middle Aged ; Odds Ratio ; Prevalence ; Risk Factors ; *Social Support ; Stress Disorders, Post-Traumatic/diagnosis/ethnology/*psychology

PURPOSE: A natural disaster negatively affects children's emotional and behavioral adjustment. The purpose of this paper was to examine the prevalence, symptoms, and correlates of PTSD after the occurrence of Typhoon Rusa. METHOD: 261 elementary school children living in Kimcheon, which was a devastated rural area in South Korea by Typhoon Rusa, were selected. Data were collected 4 months after the disaster using the PTSD Reaction Index categories recommended by Frederick, severity of PTSD. RESULT: 12.3% of the children had either moderate or severe PTSD symptoms; 22.7% reported mild symptoms; and the remaining 65% had sub-clinical symptoms of PTSD. The most frequent symptom was recurrenct fear(67.0%). 13% to 17.2% of children exhibited difficulty in concentration, sleep disturbance, and guilt feeling. The regression model of severity of PTSD was composed of the level of exposure to traumatic experiences, grade in school, gender, negative coping style, and social support, and explained 34.3% for PTSD symptoms. Exposure to traumatic experiences was the strongest factor of all predictors. CONCLUSION: Emotional support from friends and coping style were correlated with PTSD severity. School-based interventions that emphasizes coping with disaster related problems and problem-solving may prove to be useful, and may aid in building close and supportive ties with teachers, classmates, and friends.
Adaptation, Psychological ; Attitude to Health ; Child ; *Child Psychology ; *Disasters ; Female ; Friends/psychology ; Health Knowledge, Attitudes, Practice ; Humans ; Korea/epidemiology ; Life Change Events ; Male ; Models, Psychological ; Prevalence ; Psychiatric Status Rating Scales ; Regression Analysis ; Rural Health ; School Health Services ; Self Care/methods/psychology ; Severity of Illness Index ; Social Support ; Stress Disorders, Post-Traumatic/diagnosis/epidemiology/*etiology/psychology ; Survivors

OBJECTIVES: This study aimed to identify psychopathologies of sexually abused children and intervening variables of symptom severity. METHODS: Eighty-four school-aged children were identified for sexual abuse from a center for child sexual abuse by psychiatrists, clinical psychologists, and social workers. We analyzed correlations among symptom severity, types of sexual abuse, gender, age, relationship with the abuser, family system, and current and past psychopathologies. RESULTS: The percentage of victims with particular psychiatric disorders (current) were 79.8%. Children without identifiable disorders were 20.2%, but these children had significantly increased scores on self report scales of anxiety (RCMAS), depression (CDI), and withdrawal scores on parental reports of child behavior checklist (K-CBCL). Sixty nine percent of abused children had primary diagnosis related to sexual abuse in DSM-IV diagnositic system. PTSD was 41.7%, depressive disorder was 38.1%, and anxiety disorder was 21.4%. Psychopathologies were more severe if perpetrators were of acquaintance or if victims had previous psychopathologies or parent-child relational problems. Types of primary caregiver and older age were also related to the severity of psychopathologies. CONCLUSION: Present study suggests that most victims of childhood sexual abuse suffer from significant psychological distress. Intervening variables are relationship with the perpetrator, previous mental health status, age of the child, type of the primary care taker, and the quality of parent-child relationship.
Anxiety ; Anxiety Disorders ; Caregivers ; Checklist ; Child Abuse, Sexual ; Child Behavior ; Child* ; Depression ; Depressive Disorder ; Diagnosis ; Diagnostic and Statistical Manual of Mental Disorders ; Humans ; Korea* ; Mental Health ; Parent-Child Relations ; Parents ; Primary Health Care ; Psychiatry ; Psychology ; Psychopathology* ; Self Report ; Sex Offenses ; Social Workers ; Stress Disorders, Post-Traumatic ; Weights and Measures