• Korean Journal of Psychosomatic Medicine
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• v.31 no.2
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• pp.142-148
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• 2023

Objectives : The purpose of this study is to investigate the relationships between premonitory urge, tic severity, and comorbidities in children and adolescents with chronic tic disorders. Methods : In this study, scales for tic symptoms, premonitory urge, obsessive-compulsive symptoms, and ADHD symptoms were repeatedly measured twice in 26 children and adolescents aged 10 to 18 years with chronic tic disorders. Correlations between scales were confirmed through repeated measures correlation analysis, and causal relationships between scales were confirmed through regression analysis using a linear mixed model. Results : The degree of premonitory urges showed a significant positive correlation with the severity of tic symptoms, the severity of obsessive-compulsive symptoms, and the severity of ADHD symptoms. The ADHD symptoms showed a significant positive correlation with the severity of tic symptoms. These results were the same even in children and adolescents with tic disorders who were not diagnosed with obsessive-compulsive disorder. Additionally, premonitory urges were found to have a significant positive effect on the severity of tic symptoms. Conclusions : These results may be helpful in treating tic disorders and can be used in future tic disorder research considering developmental trajectory.

• Sleep Medicine and Psychophysiology
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• v.13 no.2
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• pp.59-66
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• 2006

The objective of this study was to investigate the relationship between insomnia severity, depression, anxiety, and anxiety sensitivity and to find out the explanatory variables that account for the insomnia severity among depression, anxiety, and anxiety sensitivity in general population. 95 mentally healthy volunteers who visit health promotion center of Kangbuk Samsung hospital for their regular medical examination were requested to complete Athens Insomnia Scale, Beck Depression Inventory, State-Trait Anxiety Inventory, and Anxiety Sensitivity Index. Association between total scores of Athens Insomnia Scale and other variables (total scores of Beck Depression Inventory excluded item 16, total scores of State Anxiety, total scores of Trait Anxiety, and total scores of Anxiety Sensitivity Scale) was assessed individually with partial correlations adjusted by age and then together using multiple regression analysis. The total scores of Athens Insomnia Scale were significantly associated with total scores of Beck Depression Inventory excluded item 16 (r=0.541, p<0.001), total scores of Trait Anxiety (r=0.642, p<0.001), total scores of State Anxiety (r=0.267, p<0.05), and total scores of Anxiety Sensitivity Index (r=0.312, p<0.01). Total scores of trait anxiety showed the highest correlation with the total scores of Athens Insomnia Scale and was the significant predictor to total scores of Athens Insomnia Scale among the other predictor variables (p<0.001). These results show that insomnia severity is positively correlated with depression, anxiety, and anxiety sensitivity. The correlation was strongest with trait anxiety. In addition, our results suggest that trait anxiety is associated with insomnia severity in general populations.

• Proceedings of the Korean DIstribution Association Conference
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• 2006.08a
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• pp.21-46
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• 2006

본 연구에서는 인터넷 쇼핑몰에서 불만족을 경험한 고객들의 불평요인 및 불평행동유형을 파악하고, 쇼핑몰 업체의 불평처리방법에 대한 평가를 바탕으로 효과적인 불평처리방안을 제시하였다. 연구 결과 불평행동을 하는 고객의 유형은 직접행동파, 사적행동파, 소극행동파, 적극행동파 등으로 구분되었다. 이 가운데 사적행동파가 가장 높게 나타나 인터넷 환경에서는 사적행동파에 대한 효과적인 불평처리 방안에 관한 노력이 가장 필요한 것으로 확인되었다. 직접행동파는 해당 쇼핑몰 업체에게 직접 문제해결을 요구하기 때문에 불평처리에 대한 공정성, 불평 후 만족과 충성도 측면에서 가장 효과적인 것으로 확인되었다. 그리고 고객의 모든 불평행동유형에서 가장 심각한 불만족 요인으로는 배송오류 및 지연과 제품결함인 것으로 확인되었지만, 사적행동파와 소극행동파는 부정확한 정보제공과 과장광고 등을 심각하게 생각하고 있었다. 인터넷 쇼핑몰 업체는 불평고객들의 불평해결을 위해 직접적인 접촉을 할 경우 가장 효과적인 불평처리를 할 수 있기 때문에 사적행동파와 소극행동파의 불평행동을 유발하기 위한 노력이 필요하다. 또한 쇼핑몰 관리자의 불친절 및 반응은 심각한 불만족 요인은 아니지만, 배송오류 및 지연과 제품결함과 같은 심각한 불만족요인에 대해서는 직접적인 사과 및 쇼핑몰 관리자의 친절한 태도를 포함하여 현금 환불 등 불평처리를 해야 한다. 그리고 고객의 관점에서 인터넷 쇼핑몰을 보다 편리하고 유용하게 설계할 필요가 있다.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.6
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• pp.1123-1130
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• 2020

This study aims to classify the severity in car crashes using five classification learning models. The dataset used in this study contains 21,013 vehicle crashes, obtained from Korea Expressway Corporation, between the year of 2015-2017 and the LightGBM(Light Gradient Boosting Model) performed well with the highest accuracy. LightGBM, the number of involved vehicles, type of accident, incident location, incident lane type, types of accidents, types of vehicles involved in accidents were shown as priority factors. Based on the results of this model, the establishment of a management strategy for response of highway traffic accident should be presented through a consistent prediction process of accident severity level. This study identifies applicability of Machine Learning Models for Predicting of the Severity of Car Traffic Accidents on a Highway and suggests that various machine learning techniques based on big data that can be used in the future.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.05a
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• pp.156-157
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• 2023

중앙해양안전심판원의 연간 통계에 따르면 어선의 충돌사고가 전체 충돌사고 중 과반 이상을 점유한다. 충돌사고에서 어선은 타선종보다 규모가 작고 빠른 속력으로 통항함에 따라 중대 사고의 비율도 높다. 이에 따라 충돌요인을 기반으로 한 사고 심각도간의 관계 규명이 필요하다. 본 논문에서는 도로 교통공학에서 다루고 있는 유효충돌속도의 개념을 활용하여, 어선 충돌 시 유효충돌속도를 산출하는 방법을 제시하였다. 그리고 유효충돌속도가 증가할수록 사고 선체 손상 심각도가 증가하는지를 확인하기 위해, 순서형 로지스틱 회귀분석 방법으로 중앙해양안전심판원 해양사고 재결서 5년간(2016~2020년)의 데이터 286건을 분석하였다. 분석결과, 충돌 당시 산출된 유효충돌속도가 클수록 중손과 전손사고의 확률은 증가하는 것을 확인할 수 있었다. 본 연구 결과는 추후 유효충돌속도를 기반으로 한 어선의 적정항행 속력이나 제한 속력의 제한 등에 활용될 수 있을 것으로 기대된다.

• Korean Journal of Psychosomatic Medicine
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• v.12 no.1
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• pp.66-75
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• 2004

Objectives: This study was intended to see the relationship between psychiatric consequences and injury severity following traffic accidents. Methods: We surveyed the 134 patients who were hospitalized from 1994 to 2003 at Chosun University Hospital for psychiatic disability evaluation following traffic accident. We reevaluate demographic factors from admission note. Psychiatric symptoms from mental status exam in medical records. Psychological tests(MMPI, BAI, BDI, K-WAIS) were done. Then we calculate the injury severity score and McBride's rate of disability due to diagnosis from emergency care hospital records. Their relationships were evaluated by statistical methods which were t-test and Pearson correlation analysis using SPSS-10. Results: When physical injury was not severe, suicidal attempt was more frequent and depression, hysteria, psychasthenia, psychopathic deviation subscales were high in MMPI. But when physical injury was severe, they have diffficulty in concentration, impaired orientation, and changed in IQ score. There was no relationship between physical injury severity and faking bad scales(F, Ds-r). Conclusion: We must not assume when physical injury was not severe, the severe sympomts are just faking for their benefit.

• Korean Journal of Psychosomatic Medicine
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• v.28 no.1
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• pp.81-88
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• 2020

Objectives : This study aimed to compare autonomic nervous system (ANS) dysregulation and differential relationships with clinical severities between anxiety disorder, depressive disorder, and trauma·stressor related disorder using heart rate variability (HRV) parameters. Methods : We conducted a retrospective chart review of outpatients from 2017 to 2018 in Stress Clinic of National Center for Mental Health. Total 473 patients were included; 166 anxiety disorder; 184 depressive disorder ; 123 trauma·stressor related disorder. Parameters of 5-min analysis of HRV were compared in three groups. Additionally, we investigated the differential association of each parameters with Clinical Global Impression-Severity Scale (CGI-S) across each group. Results : No significant differences were found in all HRV parameters between the three groups. However, significant group interactions by CGI-S were found in standard deviation of all RR intervals (SDNN) and the square root of the mean squared differences of successive normal-to-normal intervals (RMSSD) (SDNN, p=0.017 ; RMSSD, p=0.034). A negative relationship between CGI-S and SDNN, RMSSD has been found in anxiety disorder and depressive disorder. However, a positive relationship between CGI-S and SDNN, RMSSD has been found in trauma·stressor related disorder. Conclusions : Despite of no significant differences of each HRV parameter, our findings suggested the differential associations of HRV parameters with clinical severity among anxiety disorder, depressive disorder and trauma·stressor related disorder. In trauma·stressor related disorder, the clinical severity and degree of ANS dysregulation may differ, so more aggressive treatment is suggested.

• Journal of Korean Society of Transportation
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• v.28 no.5
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• pp.17-29
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• 2010

The main objective of this study is to consider the necessity of introducing owner expenses in estimating the cost of traffic accidents, as is done in some advanced countries. It is known as "owner cost" in the U.S, "enterprise project price" in Japan, and "human cost" in the U.K. To achieve this, the seriousness and present state of post-traumatic stress disorder (PTSD) of traffic accident offenders, which is generally not observed when traffic accidents occur, are evaluated; countermeasures reflecting personal characteristics are prepared according to degree of affliction. The results could be summarized as follows. First, the present condition and seriousness of PTSD from traffic accidents that has been estimated only within the accidents offenders are evaluated through a survey. Second, a distinction analysis model is developed. 'Insomnia caused by accidents' and 'mental daunting in accident situations or similar ones during driving' are chosen as the variables of the discriminant. Third, as a result of the construction of an Ordered Probit Model to comprehend the seriousness of PTSD, the variables turns out in the order of 'seriousness of the most damaged victim, 'nightmare about the accident', 'insomnia experience', 'mental daunting during driving', 'gender', and 'major driving area'. Finally, the cures reflecting characteristics of gender and region are suggested, which are preferred for degree of seriousness of PTSD. The analysis shows that the method to minimize the damage, such as decline of work efficiency, by moving ahead the rehabilitation of the offenders would be suggested and this could minimize the direct and indirect damages that could happen to business owners for whom the drivers work.

• Korean Journal of Psychosomatic Medicine
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• v.26 no.2
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• pp.194-200
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• 2018

Objectives : The significance of leukoaraiosis on brain magnetic resonance imaging (MRI) is uncertain, but it is often seen with vascular risk factors or in the context of cognitive impairment. We aimed to investigate the effect of leukoaraiosis on the severity and course of delirium. Methods : Periventricular hyperintensity and deep white matter hyperintensity on brain MRI were rated in 42 patients with delirium by semiquantative visual rating scale. Correlations between their grades and the scores of Korean version of Delirium Rating Scale-Revised-98 (K-DRS-R-98) were analyzed, and the interaction effects between the groups according to the levels of leukoaraiosis and two evaluation points were also analyzed. Results : The grade of deep white matter hyperintensity in the occipital lobe was positively correlated with the scores on the total, severity items, cognitive items, and non-cognitive items of K-DRS-R-98. The cognitive items scores of K-DRS-R-98 in the low grade group of periventricular hyperintensity showed significantly steeper decrease than the high grade group. Conclusions : A difference in severity or recovery speed of delirium according to the level of leukoaraiosis may result from disruption in brain functional connectivity. Our results have a clinical implication in that the severity and course of delirium can be possibly predicted using the level of leukoaraiosis.

• Journal of Korean Society of Transportation
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• v.31 no.6
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• pp.53-66
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• 2013

The major purpose of this study is to evaluate methodologies to predict the injury severity of pedestrian-vehicle collisions. Methodologies to be evaluated and compared in this study include Binary Logistic Regression(BLR), Ordered Probit Model(OPM), Support Vector Machine(SVM) and Decision Tree(DT) method. Valuable insights into applying methodologies to analyze the characteristics of pedestrian injury severity are derived. For the purpose of identifying causal factors affecting the injury severity, statistical approaches such as BLR and OPM are recommended. On the other hand, to achieve better prediction performance, heuristic approaches such as SVM and DT are recommended. It is expected that the outcome of this study would be useful in developing various countermeasures for enhancing pedestrian safety.