2.Prevalence of anti-HCV in healthy subjects in Ulsan area.
Ji Inn JUNG ; Suk Ho SOHN ; Wook Hyun CHO ; Jung Hee JUNG ; Yong Lim KIM ; Jin Kwan LEE
Korean Journal of Medicine 1993;45(3):322-327
No abstract available.
Prevalence*
;
Ulsan*
4.Innovative curriculum of Ulsan Medical College: Introduction, experience and prospect.
Key Yong KIM ; Won Dong KIM ; Joo Hyun NAM ; Yoo Kyum KIM
Korean Journal of Medical Education 1995;7(2):115-122
No abstract available.
Curriculum*
;
Ulsan*
5.Hematological Changes of Welders.
Choong Ryeol LEE ; Cheol In YOO ; Ji Ho LEE ; Jeong Hak KANG ; Hun LEE
Korean Journal of Preventive Medicine 1999;32(2):141-146
OBJECTIVES: To ascertain whether some result of hematological examination could be as reference data for health management of welders. METHOD: The authors conducted the hematological examination of 1,018 welders and 531 control workers of a shipbuilding industry in Ulsan using automatic blood analyzer. RESULTS: The WBC count of welders was lower than that of control on controlling the age and the duration of employment, but changes of other blood cells were not observed. CONCLUSION: We could use the results of hematological examination such as WBC counts as an indicator for subtle changes of health status of welders.
Blood Cells
;
Employment
;
Ulsan
6.Serotype of rickettsia Tsutsugamushi isolated in Ulsan area.
Jae Seung KANG ; Byung Uk LIM ; Yong Lim KIM ; Dong Chul PARK ; Jun Tack JO ; Jin Kwan LEE
Korean Journal of Infectious Diseases 1992;24(3):179-182
No abstract available.
Orientia tsutsugamushi*
;
Rickettsia*
;
Ulsan*
7.Knowledge and Educational Need of Central Supply Room Nurses for the Sterilization Process.
Korean Journal of Nosocomial Infection Control 2015;20(2):70-81
BACKGROUND: This study aimed to assess central supply room nurses' knowledge on and educational needs for the sterilization process. METHODS: The participants were 88 nurses working at central supply rooms of hospitals in Busan, Ulsan, and Gyeong-nam. From August to September 2014, knowledge and educational needs of the sterilization process were measured by using self-reported questionnaires. Data were analyzed by descriptive statistics, t test or analysis of variance (ANOVA), Scheffe test, and repeated-measures ANOVA with the SPSS 21.0 program. RESULTS: The mean score for knowledge on the sterilization process was 39.58 out of 50 points and was highest in keeping sterilization (8.94 out of 10 points) and lowest in packing sterilization (6.82 out of 10 points). The mean score for knowledge was significantly higher in the nurses with postgraduate studies (F=3.35, P=0.040), in those with internal training (t=2.03, P=0.045), with three or more internal trainings (F=9.72, P<0.001), with external training (t=3.48, P=.001), with two or more external trainings (F=8.40, P=0.001), and in those working in hospitals with 700 beds or more (F=15.88, P<0.001). The mean score for educational need was 4.06 out of 5 points, ranging from 3.99 to 4.12 points. It was significantly higher in nurses aged 40 years and older (F=4.28, P=0.017) and in those working in hospitals with 700 beds or more (F=4.82, P=0.010). CONCLUSION: Nurses working in central supply rooms need education on the sterilization process. We recommend the development of a standardized textbook and an educational program based on the results of this study.
Busan
;
Education
;
Sterilization*
;
Ulsan
8.The Factors Affecting the Health-related Quality of Life of Manufacturing Industry Workers: Focusing on Sub-contractual Workers of Ulsan's Vehicle Industry
Korean Journal of Occupational Health Nursing 2019;28(2):94-103
PURPOSE: This study aimed to investigate variables affecting health-related quality of life of manufacturing industry workers. METHODS: We used data from 200 survey questionnaires collected from a vehicle manufacture factory located in Ulsan metropolitan area. The participants were manufacturing workers. The data were analyzed using t-test, one-way analysis of variance, and Scheffé's test to identify differences among variables. Pearson's correlation coefficient and stepwise multiple regression were used to identify variables that affected health-related quality of life. RESULTS: The findings revealed that occupational stress and quality of sleep were statistically significant variables of the physical component score with an explanatory power of 42.2%. Occupational stress, depression, and religion were statistically significant variables of the mental component score with an explanatory power of 43.3%. CONCLUSION: Continuous monitoring and appropriate intervention for occupational stress, quality of sleep, and depression are needed to improve manufacturing workers' health-related quality of life.
Depression
;
Quality of Life
;
Ulsan
9.Blood Lead Levels of Children in Ulsan Industrial Area.
Cheol In YOO ; Ji Ho LEE ; Choong Ryeol LEE ; Sung Ryul KIM ; Seon Ho LEE
Korean Journal of Preventive Medicine 1998;31(2):240-248
We conducted this study, to obtain basic data of lead concentrations in children of Ulsan industrial area and to evaluate the difference in blood lead levels between industrial area and suburban area. The study subjects were composed of 348 school children residing in industrial area and 100 school children of suburban area. There is no difference in age and sex distribution of study participants between industrial and suburban area. The obtained results were as follows: l. The geometric means of blood lead levels of study participants were 4.90 ng/dl, which is lower than current acceptable value 10 ng/dl. 2. The children residing in industrial area had the higher blood lead levels(5.26 ng/dl) than suburban children(3.81 ng/dl) with statistical significance(P<0.001).
Child*
;
Humans
;
Sex Distribution
;
Ulsan*
10.Process of Change, Self Efficacy and Decisional Balance Corresponding to Stage of Change in Smoking Cessation in Industrial Workers.
Yun Mi LEE ; Nam Hee PARK ; Ji Min SEO
Journal of Korean Academy of Adult Nursing 2003;15(3):483-492
PURPOSE: The study was performed to identify the process of change, decisional balance and self-efficacy corresponding to the stage of smoking cessation behavior based on Transtheoretical Model in industrial workers. METHOD: A convenience sample of 146 industrial workers except for the never smokers, were recruited at a H industry in Ulsan. Data were collected from February 1 to 28, 2002. The research instruments were Stages of Change of Smoking Cessation Measure(DiClemente et al, 1991), Process of change(Prochaska, 1988), Smoking Abstinence Self Efficacy (SASE: DiClemente et al, 1985) and Decisional balance(SDB; Kim, 1999). RESULT: The results of this study were as follows; 1. The subjects were distributed in each stage of smoking cessation change: There were 64 subjects (43.0%) in the precontemplation stage, 35 subjects(23.5%) in the contemplation stage, 28 subjects(18.8%) in the preparation stage, 14 subjects(10.1%) in the action stage and 7 subjects(4.7%) in the maintenance stage. 2. Analysis of variance showed that experiental process(F=2.808, p=.042), behavioral process (F=4.567, p=.004) self-efficacy(F=9.809, p=.000), pros(F=11.107, p=.000), cons(F=6.686, p=.000), pros- cons(F=3.446, p=.018) were significantly associated with the stages of smoking cessation change. 3. Through discriminant analysis, it was found that 'PROS' was the most influential variable in discriminating the four stages of change. CONCLUSION: This study can provide the basis of staged matching smoking cessation program using TTM for more effective and useful intervention.
Self Efficacy*
;
Smoke*
;
Smoking Cessation*
;
Smoking*
;
Ulsan