전수면박탈이 정상인의 생리기능과 인지기능에 미치는 영향

정종현,송후림,신윤경,한진희,이성필,홍승철 大韓神經精神醫學會 2007 신경정신의학 Vol.46 No.6

Objectives : Purpose of this study was to investigate physiological and neurocognitive effects of total sleep deprivation by using laboratory blood tests and the computerized neurocognitive function test in healthy subjects. Methods : Sixteen healthy volunteers participated in this study. Subjects were recommended to remain awake for 48 hour sunder continuous surveillance. Lab tests of cortisol, Prolactin, thyroid hormone, growth hormone, and immunoglobulin (IgG, IgA, IgM, IgD, IgE), CBC, BC and the Vienna test were performed before and after 48 hours of total sleep deprivation. Results : Concentration of T3 and T4 significantly increased after deprivation. In the reaction test, distribution reaction time significantly increased, and correct reaction significantly decreased. In the vigilance test, amount of correct reaction Signifi-cantly decreased, and the mean value of correct reaction time was significantly delayed. Level of fasting blood sugar, total protein, albumin, alkaline phosphatase and potassium significantly increased, respectively, except for the level of total bilirubin which was decreased. After total sleep deprivation, WBC counts significantly increased. Regarding immunoglobulin level, IgG,IgA and Ag M concentrations appeared to decrease, but the results were not statistically significant. Conclusion : The effect of total sleep deprivation on physiological function was significant in the level of thyroid hormone. Although statistically not significant, the results of growth hormone and the immune system showed a trend in relations to the effect oftotal sleep deprivation. Results of blood chemistry suggest that sleep dephvation may influence metabolism Of hepato-biliary system. Cognitive impairment was also seen in reactive and vigilant functions after total sleep deprivation.

Efficacy and Tolerability of Generic Mirtazapine (Mirtax) for Major Depressive Disorder:

Hoo Rim Song,Won Myong Bahk,Young Sup Woo,Jong Hyun Jeong,Young Joon Kwon,Jeong Seok Seo,Won Kim,Moon Doo Kim,Young Chul Shin,Sang Yeol Lee,Kyung Joon Min 대한정신약물학회 2015 CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE Vol.13 No.2

Objective: Mirtax is a generic mirtazapine widely used since 2003. We conducted an open-label, uncontrolled 6-week study to evaluate the efficacy and safety of Mirtax for major depressive disorder (MDD). Methods: Ninety three MDD patients with the diagnosis of MDD and 17-item Hamilton Depression Rating Scale (HDRS) score ≥14 were recruited. The HDRS, Montgomery-Åsberg Depression Rating Scale (MADRS), and the Clinical Global Impressions-Severity Scale (CGI-S) were administered at baseline, 1, 2, 4 and 6 weeks. Response (≥50% decrease in the HDRS or MADRS score), remission (absolute HDRS score ≤7 or MADRS score ≤10) and CGI-I score ≤2 were also calculated. Adverse event (AE) frequency and severity, weight, blood pressure, and pulse rate were checked to assess safety. Results: The starting dosage was 11.5±6.4 mg/day, and the maintenance dosage was 23.1±9.4 mg/day. During 6 weeks, HDRS, MADRS and CGI-S scores decreased from 25.1±5.6 to 11.9±8.6 (mean change –13.1±8.3, p<0.001), from 30.2±6.3 to 13.73±10.40 (mean change –16.5±9.8, p<0.001), and from 5.0±0.8 to 2.5±1.3 (mean change –2.5±1.3, p<0.001), respectively. The percentages of responders, remitters by HDRS and patients with a CGI-I score ≤2 were 64.6%, 35.4% and 52.7%, respectively. Significant decreases in HDRS, MADRS and CGI-S scores were confirmed at week 1. The total rate of AEs was 32.3%; the most frequently reported AEs were sedation (4.3%) and constipation (4.3%). Weight was increased from 58.8±10.6 to 60.3±9.3 kg (mean change 0.7±1.7 kg, p=0.004). Conclusion: This study, as the first clinical trial of generic mirtazapine, demonstrated the efficacy and tolerability of Mirtax for MDD using a single treatment design.

Platelet count alterations associated with escitalopram, venlafaxine and bupropion in depressive patients

Song, Hoo Rim,Jung, Young‐,Eun,Wang, Hee‐,Ryung,Woo, Young Sup,Jun, Tae‐,Youn,Bahk, Won‐,Myong Blackwell Publishing Asia 2012 Psychiatry and clinical neurosciences Vol.66 No.5

<P>The objective of the present study was to evaluate changes in platelet counts on three different kinds of antidepressant. All subjects (<I>n</I> = 131) in their drug‐naïve state had been diagnosed with depression. Escitalopram (<I>n</I> = 42), venlafaxine (<I>n</I> = 50) and bupropion (<I>n</I> = 39) were prescribed, and platelet count was measured before and after 1 month of treatment and compared. Decrease in platelet count on escitalopram was significant, while the others were not. These findings suggest that escitalopram may be associated with decreased platelet count, and bupropion is less likely to exert an influence on platelet count.</P>

부산지역 C형 간염 바이러스 genotype에 관한 역학적 연구

김인후,김정만,신해림,이명기,김준연,정갑열,김인식,서병성,신우원,양학도,허윤영,송주복 동아대학교 부설 산업의학연구소 1999 산업의학연구소 논총 Vol.- No.4

The authors investigated the distribution of Hepatitis C virus (HCV) genotype in blood donors with positive for anti-HCV (n=34), health check up examinees with positive for anti-HCV (n=29), and in patients with various chronic liver diseases positive for anti-HCV (n=63) in Pusan, Korea. HCV genotype was determined by using the molecular typing method through the reverse transcription - polymerase chain reaction (RT - PCR) with four type specific primers. Among 116 anti-HCV positive study subjects, 66.4% were positive HCV RNA by RT-PCR. The major HCV genotype was type Ⅱ (31.9%) and it was followed by type Ⅲ (27.6%). Two cases were type Ⅳ (1.7%). Double infection with two different HCV genotypes (mixed type) was found in three cases (2.6%). Three cases (2.6%) were not determined by the four type specific primers, it may have different subtype. Type Ⅱ was more prevalent than type Ⅲ in the blood donors and health check-up examinees, but the reverse was true in the chronic liver diseases patients including hepatocellular carcinoma patients, Type Ⅱ was more prevalent than type Ⅲ among the anti-HCV positive subjects with risk factors such as acupuncture history, surgical operation history, and transfusion history. In contrast type Ⅲ was more prevalent than type Ⅱ among the subjects without the above risk factors. It is supposed that the pathogenicity of different kind of HCV genotype might be different. The results of this study suggest that the type Ⅱ and type Ⅲ may be the major HCV genotype in Korea. The differences of HCV genotype distribution between the study groups support that the clinical significance according to the HCV genotype may be different.

신경염증과 정신질환

송후림,이화영,심세훈,권영준,Song, Hoo Rim,Lee, Hwa-Young,Shim, Se-Hoon,Kwon, Young-Joon 대한생물정신의학회 2016 생물정신의학 Vol.23 No.1

Neuroinflammation is one of important allostatic loads contributory to the various psychiatric illness. It is mediated mainly by glial cells, which produce both proinflammatory and antiinflammatory cytokines, and the balance of them determines the inflammatory process in the central nervous system. S100 calcium-binding protein B, which is used as an inflammatory marker is also released by glial cells. In the molecular level, oxidative stress contributes to the neuroinflammation. Their disturbances have been revealed in the psychiatric illness and related with the dysregulation of the glutamatergic and monoaminergic systems. There is a possibility to use them as disease markers. The approach for inflammation using antiinflammatory drugs and antioxidants could be connected to the development of disease-modifying treatments. Also, a searching examination about specific subtypes who are vulnerable to inflammation in the patients is required to confirm their efficacy clearly.

2020 이주 노동자 자살예방을 위한 정신건강실태조사

김숙진(Suk Jin Kim),송후림(Hoo Rim Song),김미선(Mi Sun Kim),이애란(Ae ran Lee),김유나(Yu Na Kim),김선영(Sun Young Kim),이서정(Seo Jung Lee) 대한사회정신의학회 2022 사회정신의학 Vol.27 No.1

목 적 : 본 연구는 이주 노동자 자살 예방사업 일환으로 이주 노동자들의 전반적 정신건강 실태와 자살에 대한 인식 및 경험에 대해 파악하여 시사점을 도출하고자 하였다. 방 법 : 2020년 6월 11일부터 7월 23일까지 국내에 거주하는 네팔, 중국, 미얀마 3개국 출신의 이주 노동자 총 102명을 대상으로 전반적 인구학적 정보 및 정신건강 실태 조사를 위해 우울감에 대한 자가 척도(The Center for Epidemiologic Studies Depression Scale [이하CES-D])를 수집하였다. 결 과 : 조사 참여자들은 스스로 느끼는 자신의 전반적 건강 상태가 보통 이상인 경우가 95명(93.1%), 주관적 행복감이 보통 수준 이상인 경우 90명(88.2%)이었다. 자가 보고형 우울 척도인 CES-D의 평균 점수는 13.9±10.4점으로 나타났다. CES-D 점수 분포는 15점 이하로 정상 범위가 68명(66.6%), 16-20점 사이로 경도 우울 상태가 13명(12.7%), 21-24점으로 중등도 우울 상태가 6명(5.8%), 25점 이상으로 고도 우울 상태가 15명(14.7%)이었다. 출신 3개국 간 CES-D 평균 점수는 통계학적으로 차이가 없었으나, 21점 이상 우울군은 네팔 출신 노동자들이 높게 나타났다. 결 론 : 본 연구에서는 다수의 이주 노동자들의 우울 점수가 정상 범위로 나타났으나, 우울 상태에 해당되는 경우에는 경도나 중등도 우울 상태인 비율보다 상대적으로 고도 우울 상태인 비율이 높게 나타났다. 이는 향후 이주민 노동자들 전반에 걸친 정신건강 서비스에 더하여 고도의 우울, 즉, 자살 고위험군을 발굴하고 이에 초점을 맞춘 서비스 개발이 필요함을 시사한다. Objectives : This study aimed to examine Korean migrant workers’ mental health status and perceptions and the experiences of suicide as part of suicide prevention program to derive its social implications. Methods : A sample of 102 migrant workers from Nepal, China, and Myanmar residing in Korea from June 11th to July 23rd, 2020 completed a self-administered depression scale (The Center for Epidemiologic Studies Depression Scale [CES-D]). Re-sponses were collected to investigate participants’ demographic data and mental health condition. Results : Of the survey participants, 95 (93.1%) had greater than average mental health status, and 90 (88.2%) participants' subjective feeling of their well-being was above average. The average score for CES-D was 13.9±10.4 points. The distribution of CES-D scores was in the normal range (≤15 points) in 68 (66.6%) participants, 13 (12.7%) participants had mild depressive status, 6 (5.8%) participants had moderate depressive status (21-24 points), and 15 (14.7%) participants had a high depressive status (≥25 points). There was no statistically significant difference in the average CES-D scores of migrant workers from the three countries of origin, but workers from Nepal showed higher scores in the high depressive status group, with scores of 21 or higher. Conclusion : In this study, most migrant workers demonstrated a normal mental health status. Regarding those in a depressive state, the proportion of those in a high depressive state was relatively higher than that of those in a mild or moderate depressive state. This result suggests that in addition to mental health services targeting migrant workers, it is necessary to discover groups at high risk of high-level depression and suicide to develop services focusing on them.

Factors associated with subjective quality of life in Korean patients with depressive disorders: the CRESCEND study.

Jung, Young-Eun,Seo, Ho-Jun,Song, Hoo Rim,Woo, Young Sup,Yim, Hyeon-Woo,Sung, Hyung-Mo,Lee, Min-Soo,Kim, Jae-Min,Jun, Tae-Youn Rapid Communications of Oxford, Ltd ; Kluwer Acade 2012 QUALITY OF LIFE RESEARCH Vol.21 No.6

<P>A number of studies suggest that depression is associated with the significant disability and the poorer subjective quality of life (QOL). We aimed to assess subjective QOL in Korean patients with depression and explore the factors (sociodemographic characteristics and clinical features) associated with subjective QOL.</P>

지배가능 경로 문맥을 이용한 의존 구문 분석의 수식 거리 확률 모델

우연문(Yeon-Moon Woo),송영인(Young-In Song),박소영(So-Young Park),임해창(Hae-Chang Rim),정후중(Hoo-Jung Chung) 한국정보과학회 언어공학연구회 2006 한국정보과학회 언어공학연구회 학술발표 논문집 Vol.2006 No.10

본 논문에서는 한국어 의존 구문 분석을 위한 새로운 확률 모델을 제안한다. 한국어가 자유 어순 언어라 할지라도 지역적 어순은 존재하기 때문에 의존관계를 결정하기 위해 의존하는 두 어절인 의존소와 지배소 사이의 수식 거리가 유용하다는 것은 이미 많은 연구를 통해 밝혀졌다. 본 연구에서는 수식 거리의 정확한 수식 거리의 추정을 위해 지배가능 경로 문맥을 이용한 수식 거리 확률 모델을 제안한다. 제안하는 모델의 구문 분석 성능은 86.9%이며, 기존에 제안된 구문 분석 모델과 비교하여 높은 구문 분석 결과를 보이며, 특히 원거리 의존관계에 대하여 더욱 향상된 성능을 보인다.

Prevalence of Depressive Disorder of Outpatients Visiting Two Primary Care Settings

임현우,Sun-Jin Jo,Hyunsuk Jeong,Hoo Rim Song,주상연,Jong Lyul Kim,전태연 대한예방의학회 2015 예방의학회지 Vol.48 No.5

Objectives: Although the prevalence of depressive disorders in South Korea’s general population is known, no reports on the prevalence of depression among patients who visit primary care facilities have been published. This preliminary study was conducted to identify the prevalence of depressive disorder in patients that visit two primary care facilities. Methods: Among 231 consecutive eligible patients who visited two primary care settings, 184 patients consented to a diagnostic interview for depression by psychiatrists following the Diagnostic and Statistical Manual of Mental Disorders-IV criteria. There were no significant differences in sociodemographic characteristics such as gender, age, or level of education between the groups that consented and declined the diagnostic examination. The prevalence of depressive disorder and the proportion of newly diagnosed patients among depressive disorder patients were calculated. Results: The prevalence of depressive disorder of patients in the two primary care facilities was 14.1% (95% confidence interval [CI], 9.1 to 19.2), with major depressive disorder 5.4% (95% CI, 2.1 to 8.7), dysthymia 1.1% (95% CI, 0.0 to 2.6), and depressive disorder, not otherwise specified 7.6% (95% CI, 3.7 to 11.5). Among the 26 patients with depressive disorder, 19 patients were newly diagnosed. Conclusions: As compared to the general population, a higher prevalence of depressive disorders was observed among patients at two primary care facilities. Further study is needed with larger samples to inform the development of a primary care setting-based depression screening, management, and referral system to increase the efficiency of limited health care resources.

소년원생들의 우울증 예측에 기계학습을 적용한 예비연구

손동훈(Dong Hun Son),장진구(Jhin Goo Chang),송후림(Hoo Rim Song),이수영(Su Young Lee),이승훈(Seung Hoon Lee),방수영(Soo-Young Bhang),이미선(Mi-Sun Lee),김현수(Hyun-Soo Kim),홍민하(Minha Hong) 대한사회정신의학회 2021 사회정신의학 Vol.26 No.2

연구목적 : 청소년 범죄에서 정신건강의 문제와 범죄가 관련성이 높다는 것은 잘 알려져 있지만 국내에서는 아동청소년 범죄자들의 정신건강에 관한 연구가 거의 없다. 뿐만 아니라 아동청소년정신건강 영역에서 기계학습을 적용한 연구는 아직 초기단계이다. 본 예비연구에 서는 여자청소년 재소자들에서 정신건강 문제 중 우울증의 예측에 기계학습 알고리즘을 적용하여 적합한 지를 알아보고자 한다. 방 법 : 대상자는 청주소년원에 재소중인 87명의 여자청소년을 대상으로 하였다. 대상자들에게 설문지 패키지 (인구학적 정보, 범죄관련 정보, 자기보고척도 설문지(아동기부정적경험 설문지, 벡우울척도)를 배부하여 정보를 수집하였다. 기계학습 기법을 이용하여 수집된 재소자들의 기본 정보를 바탕으로 우울증을 예측할 수 있는 6개의 모델(Logistic regression, Random forest, Supportive vector machine, Decision tree, Nearest neighbor, Adaboost)을 생성하여 각 모델간의 예측 성능을 비교해 보았다. 결 과 : 대상자를 벡우울척도(절단점 13)로 군을 분류한 결과 정상군 18명(21%)과 우울증군 69명(79%)이었다. 6개 모델의 우울증 예측 정확도는 Logistic regression 81.8%, Random forest 81.8%, Supportive vector machine 68.18%, Decision tree 72.7%, Nearest neighbor 77.3%, Adaboost 63.6%였다. 그중에서 Random forest 모델의 AUC score는 0.75로 다른 모델들과 비교하여 가장 높았다. 결 론 : 본 연구는 재소청소년의 정신건강에 중점을 두어 현황을 파악하고,우울증의 예측에 기계학습 기법을 적용을 하여 높은 정확도를 확인하였다는 점에서 의의가 있다. 또한 취약계층의 정신건강 영역에 기계학습 기법을 적용하여 관리 및 감시에 적용 가능성에 대한 근거를 제공하였다. Objectives : It is well known that mental health problems and crime are highly related to youth crime, but there is little research on the mental health of young offenders in Korea. Furthermore, research on the application of machine learning in the mental health of children and adolescents is still novel. This preliminary study aims to investigate whether it is appropriate to apply machine learning algorithms to predict depression among female adolescent inmates. Methods : The subjects were 87 young females in Cheongju Juvenile Center. A questionnaire was distributed to the subjects to gather their demographic information and crime-related information, as well as their adverse childhood experiences and Beck depression inventory scores using self-reported scale questionnaires. Based on the collected information, six models (logistic regression, random forest, supportive vector machine, decision tree, nearest neighbor, Adaboost) that can predict depression were created to compare the predictive performance between models using machine learning techniques. Results : Results showed that 29 victims (25.7%) met the criteria of PTSD and 19 victims (16.8%) met the rigid criteria of PTSD. But, according to the subscales, 41 victims (36.3%) were diagnosed as PTSD. Victims with PTSD had more serious depression, anxiety, sleep disturbance, anger, social withdrawal and life stresses. Conclusion : This study identified the current mental health status of female inmates with high accuracy by applying machine learn-ing techniques to predict depression. The applicability of machine learning techniques to the management and surveillance of mental health in vulnerable groups was also highlighted.