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- 저자 : 채숙희(Suk-Hi Chai) (검색결과 4 건)
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위험 음주자의 선별을 위한 한국어판 Alcohol Use Disorders Identification Test(AUDIT-K)의 최적 절단값
조근호(Keun-Ho Joe),채숙희(Suk-Hi Chai),박애란(Aeran Park),이해국(Hae-Kook Lee),신임희(Im-Hee Shin),민성호(Seong-Ho Min) 한국중독정신의학회 2009 중독정신의학 Vol.13 No.1
Objects:Through this study, we intended to set up new cut-off score for the screening of hazardous drinking using the Korean version of alcohol use disorders identification test (AU-DIT-K). Methods:A total of 1,100 subjects were enrolled in this study. Questionnaires about drinking patterns, AUDIT-K, CAGE and NAST (National Alcohol Screening test) were col-lected. The cut-off scores of AUDIT-K for hazardous drinking were calculated and determined by area under the Receiver Operating Characteristic (ROC) curve. Pearson’s correlation test was applied to validate the test and re-test data. Results:Suggestible cut-off scores based on drinking frequency and amount, the AUDIT-K for screening the hazardous drinking would be 11 for men and 8 for women. However, we further proposed the CAGE 1 point as a reference value and concluded that cut-off scores of 10 for men and 6 for women were more appropriate in screening of hazardous drinking in Korean subjects. According to these scores recommended limits for normal drink-ing behavior among Koreans would 13 standard drinks per week for men and 6 standard drinks per week for women. Conclusion:The lower cut-offs of 10 for men and 6 for women suggest that nationwide a more vigorous effort in screening for hazardous drinking is needed in order to prevent alcohol abuse and hazardous consequences.
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네일 숍의 공기 중 휘발성 유기화합물(Volatile Organic Compounds) 노출농도에 관한 연구
양진희 ( Jin Hee Yang ),채숙희 ( Suk Hi Chai ),김문주 ( Moon Ju Kim ) 한국미용학회 2009 한국미용학회지 Vol.15 No.2
This study is made up of work environment measurement in order to examine the exposure of nail shop employees to Volatile Organic Compounds. First, after measuring hazardous materials in nail shops, 15 chemicals were found. When examining each density of the detected hazardous materials, they were shown as n-Pentane(6361.282㎍/㎥), n-Hexane(2177.784㎍/㎥), n-Heptane(3935.847㎍/㎥), Aceton(72399.344㎍/㎥), Ethyl Acetate(3160.611㎍/㎥), IPA(1692.434㎍/㎥), TCE(891.150(㎍/㎥), MIBK(1100.825㎍/㎥), Toluene(1832.619㎍/㎥), n-Butyl Acetate (3189.757㎍/㎥), o-Xylene(611.992㎍/㎥), c-Hexanone(890.764㎍/㎥), Butyl Cellosolve (850.289㎍/㎥), HCHO(106.154㎍/㎥), MMA(233.997㎍/㎥). The highest detection was found in Aceton(72399.344㎍/㎥) followed by n-Pentane, n-Heptane, n-Butyl Acetate and Ethyl Acetate. Second, after analyzing the exposure density in the air according to the work environment of nail shops, there was higher density in the afternoon compared to the morning, while the exposure density in the air was also affected by the number of nail shop users, open/close of doors, floor area of the shop, etc. 14 chemicals were detected in the morning and 15 in the afternoon. Excluding n-hepxane and formaldehyde, there were higher densities of all chemicals in the afternoon when there are more customers in the nail shop. Examinations showed that there was a higher average density and more chemicals in the air of nail shops when there were more daily users. In the case of nail shops with over 50 visitors a day, there was a high average density of 7 chemicals such as n-Pentanen, n-Hexane, n-Heptane, Ethyl acetate, Toluene, n-butyl Acetate and MMA. In nail shops with 25 to 50 visitors, there was a high amount of IPA.
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김석산(Seog-San Kim),신재정(Jae-Jung Shin),황인복(In-Bok Whang),채숙희(Suk-Hi Chai) 한국중독정신의학회 2002 중독정신의학 Vol.6 No.1
Objectives:When we treat alcoholism, we frequently meet the alcoholic patients’ defense mechanism such as denial, minimization, projection, rationalization and so on. For successful recovery, alcoholic patients must have the true insight. But most alcoholic patients rarely have it. This study was intended to investigate the relationship between insight level and psychological characteristics in alcoholic patients. Method:The subjects participated in this study were 147 alcoholic patients who were diagnosed as alcohol dependence by DSM-IV and NAST and were admitted to Dasarang Alcohol Hospital, Kwang-ju between April and October, 2001. The subjects were divided into three groups according to insight level. Subjects were surveyed by questionnaire about the sociodemographic data, clinical data, HAIS, alcohol problem scale, self-esteem scale, social support scale, BDI and STAI. Results:Among 147 subjects, 33 (22.4%) were ‘good insight group’, 73 (49.7%) were ‘fair insight group’, 41 (27.9%) were ‘poor insight group’. This study showed the group of lower insight level was the older alcoholic patients. Insight level was higher when the patients’ admission type was voluntary, when alcoholic patients had admitted in the department of internal medicine because of alcohol related physical illness and when frequency of admission was high. Both Lower BDI score and absence of current physical illness were shown in the groups who were higher insight level. The ‘poor insight group’ was shown the highest BDI and STAI scores and the lowest social support scores. Hierarchical multiple regression, which considered sociodemographic, clinical and psychological variables simultaneously, showed that the insight of alcoholics was significantly predicted from frequency of admission, occupational-social problem, age, education and behavior problem. Conclusion:If the insight level is lower, the alcoholic will be more depressed and anxious. To increase the alcoholic patients’ insight, 1) it is effective for them to confront their own occupational-social and behavior problem. 2) we should help alcoholic patients enter to therapy when alcohol problem occur. The sooner, the better.
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청소년의 인터넷 중독 정도에 따른 정신과적 공존질환 및 행동 양상에 관한 연구
이준영(June-Young Lee),박이진(E-Jin Park),조근호(Keun-Ho Joe),채숙희(Suk-Hi Chai),김성벽(Sung-Byuk Kim),이창욱(Chang-Uk Lee),김대진(Dai-Jin Kim) 한국중독정신의학회 2010 중독정신의학 Vol.14 No.1
Objectives:This study aimed to clarify the differences in psychiatric comorbidities and, behavioral patterns correlating with the severity of Internet addiction in adolescents. Methods:We assessed 321 adolescents recruited from an Internet rescue school, psychiatric outpatients, and 4 schools in Seoul and Gyeonggido. We divided them into a non-addicted group, a potential-risk group, and a high-risk group according to Young’s Internet Addiction Test (IAT). We evaluated their psychiatric comorbidities and behavioral patterns via psychiatric clinical interview, the Children’s Depression Inventory (CDI), the State-Trait Anxiety Inventory (STAI), and a self-report questionnaire about behavioral pat-terns. Results:There were significant differences in CDI and STAI scores among the 3 groups. The IAT, CDI, and STAI scores correlated positively with each other. There were differences in psychiatric comorbidity distributions between the potential-risk and high-risk groups, but only “other mood disorder” showed a significant difference. There were also significant differences in behavioral patterns among the 3 groups. Conclusion:This study suggests that there are psychiatric comorbidity and behavioral pat-tern differences according to Internet addiction severity in adolescents. We expect further studies will reveal more profound understandings of these relationships.
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