• Title/Summary/Keyword: DSI

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A study on Symptom Experience, Spiritual Well-Being, and Depression in Patients Undergoing Hemodialysis (혈액투석 환자의 증상경험, 영적 안녕 및 우울에 관한 연구)

  • Song, Ju Yeon;Oh, Pok-Ja
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.5
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    • pp.660-670
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    • 2016
  • This cross-sectional descriptive investigation attempted to identify the relationship among the symptoms, spiritual well-being, and depression experienced by patients undergoing hemodialysis. Data were collected from 146 patients at 6 hemodialysis clinics from October 15th, 2014 to January 15th, 2015. The Dialysis Symptom Index (DSI) was used to measure symptom experience, spiritual well-being was measured using the Spiritual Well-being Scale, and depression was assessed using the Center for Epidemiologic Studies Depression Scale (CES-D). The data were analyzed using ANOVA, the t-test, Scheffe's test, Pearson correlation, and hierarchical regression analysis. The mean score of the symptom experience was 26.43 (range: 0~85), the mean spiritual well-being score was 47.79 (range: 20~80), and the mean depression score was 10.56 (range: 0~35). It was found that greater existential well-being leads to lower depression (r=-.23, p=.004) and symptom experience (r=-.17, p=.045). Greater physical (B=.09) and emotional (B=.64) symptom experience leads to higher depression and the explanatory power of these factors was 52.1% (F=18.54, p<.001). Therefore, a comprehensive nursing intervention that can help reduce the symptom experience and increase the existential well-being in hemodialysis patients is needed to reduce their depression.

The Influences of Speed desire frustration on Driving Stress (운전자의 속도 욕구좌절이 운전 스트레스에 미치는 영향)

  • Soon yeol Lee ;Soon chul Lee
    • Korean Journal of Culture and Social Issue
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    • v.15 no.2
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    • pp.319-338
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    • 2009
  • This study was intended to recognize whether speed desire frustration influences in driving stress. Stress desire frustration is the difference between prefer speed and normal speed. As a result, driver's the prefer speed is higher than the normal speed on 4 road condition(high-way, urban-way, residential-way, rural-way). Also, driver's speed desire frustration caused statistical effect in driving stress on 4 road condition. speed desire frustration effect Driving Stress Scale(DSS) 5 sub-scale factors(progress obstacle, traffic circumstance, accident & regulation, regulation obedience, time pressure). This is that driver who experience much speed desire frustration creates high driving stress. Speed desire frustration analyzed high driver and low driver's Driving Stress Scale(DSS) score and overspeed regulation and traffic accident experience difference. As analysis result, speed desire frustration high driver driving stress high appear. However, difference of overspeed regulation experience or traffic accident experience by speed desire frustration did not appear.

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Development of Cotton Farming and Transformation of Rural Area in Sanliurfa Prefecture, Turkey (터키 샹르울파주 목화농업의 전개와 지역사회의 변화)

  • Kang, Sukkyeong
    • Journal of the Korean Geographical Society
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    • v.48 no.1
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    • pp.87-111
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    • 2013
  • Regional disparities between eastern and western regions is the most of serious problem for balanced regional development in Turkey. The Southeastern Anatolia Project (GAP) is being implemented to eliminate these regional development disparities. The work that was initially planned as predominantly for hydraulic energy production to utilize water resources of the Tigris and Euphrates rivers more effectively was later transformed into an integrated multi-sector regional development project. This study noted that this region had very limited cash crop production because of the constraints of semi-arid climate of the southeastern region, however, later, it has changed Turkey's major cotton producing region since Southeastern Anatolia Project carried out. Therefore, this study investigated background, process, and content of the Southeastern Anatolia Project with respect to high cotton productivity in this region and examined the dynamic changes of cotton productivity in this region. In addition, Sanliurfa prefecture is one of the main development axes of the Southeastern Anatolia Project, because government investments are concentrated on this prefecture. Therefore, this study examined the background and process of cotton farming growth in this prefecture. In 2011, Sanliurfa prefecture produced 37.6% of Turkey's total cotton production. This is mainly due to agricultural infrastructure expansion such as land consolidation, irrigation, roads and farm roads. Also, it is one of the main factor that subsidies paid to farmers for cotton cultivation. The introduction of irrigation has dramatically changed the direction of seasonal migration of this area. Prior to irrigation, this area had a serious social issue about out-migration for seasonal labor to other areas. However, the introduction of irrigation made this area that changed to in-migration and intramigration for cotton cultivation. Irrigation water is supplied to farmers through the WUAs (Water User Associations) that handed over irrigation water management, operation from DSI (General Directorate of State of Hydraulic Works). However, the WUAs are under the influence of Ashiret, a traditional feudal social structure. Because of this reason, it does not have an efficient management for farmers. Also, it is one of the reasons that this area does not have autonomous farmer organization.

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Effects of Minor Stressful Events on Sleep in College Students (대학생에서 스트레스가 수면에 미치는 영향)

  • Kang, Seung-Gul;Yoon, Ho-Kyoung;Ham, Byung-Joo;Choi, Yun-Kyeung;Kim, Seung-Hyun;Joe, Sook-Haeng;Suh, Kwang-Yoon;Kim, Leen
    • Sleep Medicine and Psychophysiology
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    • v.9 no.1
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    • pp.48-55
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    • 2002
  • Objective: Stress is known to be a common cause of short-term insomnia and insomniacs often complain that stress induces sleep problems. However, previous studies on the correlation between stress and sleep do not show consistent results. We aimed to investigate the effects of minor stressful events on sleep among college students. Method: Physically and mentally healthy college student volunteers filled out a self-assessment questionnaire to evaluate their stress and sleep. To find out the status of average stress and sleep, the volunteers filled out K-DSI and daily sleep assessments on three consecutive days. In addition, we surveyed the amount of caffeine beverage intake and assessed the degree of depression and anxiety. Results: The total number of students participating in this study was 202, 101 men and 101 women. Minor stress turned out to significantly affect non-restorative sleep and secondary symptoms of insomnia (awakening difficulty, displeasure, feeling of dissatisfaction with sleep, physical uneasiness or pain at awakening, daytime sleepiness, depressive moods, tiredness and concentration difficulty). However, global PSQI score, self-reported sleeping hours, sleep latency, awakening frequency, frequency and duration of napping, were not explained by stress scores. Conclusion: In this study, minor stresses seemed to affect sleep, especially secondary symptoms caused by non-restorative sleep. We can thus infer that minor stresses impair the restorative effects of sleep by inducing arousal, and the direct relationship the two can be confirmed by polysomnogram.

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Effects of Stress and Personality Characteristics on Sleep (스트레스와 성격요인이 수면에 미치는 영향)

  • Yoon, Ho-Kyoung;Kang, Seung-Gul;Ham, Byung-Joo;Lee, Heon-Jeong;Kwon, Ho-In;Suh, Kwang-Yoon;Kim, Leen
    • Sleep Medicine and Psychophysiology
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    • v.10 no.1
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    • pp.32-38
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    • 2003
  • Objectives: The purpose of this study is to investigate the effects of stress and personality on sleep patterns, and further, to identify potential correlations between stress and personality characteristics. Methods: A total of 174 healthy college students were subjects for this study. Participants filled out the Daily Stress Inventory before sleep and the Modified Pittsburgh Sleep Quality Index after sleep on three consecutive days. They also filled out the 16 Personality Factor Questionnaire (16-PF), BDI (Beck Depression Inventory) and STAI (State-Trait Anxiety Inventory). Results: Minor stresses highly correlated with subjective sleep quality and symptoms of non-restorative sleep. However, total sleep time, sleep latency, awakening frequency, and frequency of dreams were not explained by stress scores. The O (guilty feeling), C (low ego strength) and Q4 (high anxiety) factors of the 16-PF also highly correlated with symptoms of non-restorative sleep and significantly affected sleep patterns. BDI and STAI scores also correlated with the above personality factors and minor stresses. Conclusion: This study showed that minor stresses impaired the restorative effects of sleep. Personality characteristics such as low ego strength, high levels of anxiety, and feelings of guilt were vulnerable to minor stresses. Minor stress, various personality characteristics, different coping patterns, and emotional response are highly correlated with each other and affect sleep patterns.

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The Assessment of Ultrasensitive HBsAg kit's Sensitivity level and Performance in Detection of Mutant Forms (Ultra-sensitive HBsAg IRMA 키트의 민감도 및 변이형 검출능 평가)

  • Ha, Dong-Hyuk;Min, Kyung-Sun;Noh, Gyeong-Woon;Kim, Hyun-Ju
    • The Korean Journal of Nuclear Medicine Technology
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    • v.15 no.1
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    • pp.121-125
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    • 2011
  • Purpose: The DNA-type virus HBV, discovered by D. Dane and others in 1976, is approximately 42nm big and known as the main cause of liver-related diseases around the world. HBsAg has 4 kinds of subtypes including adw, adr, ayw and ayr and besides common antigen factor a, there are d, y, r, w. From the methods of serologically testing HBV, IRMA, EIA and CLIa were developed for testing HBsAg and are being used in examining the surface antigen of HBV. In this study, among the methods for testing HBV, the recently developed RIAKEY Ultrasensitive HBsAg IRMA kit's sensitivity level and performance in detection of mutant forms were measured and compared with CLIA. Materials and methods: Two certified reference materials, which are WHO 1st International Standard 1985(80/549) and WHO 2nd International Standard 2003(00/588. subtype adw2, genotypeA), were used in the examination and the sensitivity level was measured by diluting these materials from 0.08 IU/ml to 0.005 IU/ml. The materials for examining the detection of mutant forms included 9 kinds of subtype 'ad' and one kind of subtype 'ay' purchased from DSI company. Also, with the use of positive and negative samples, they was compared with CLIA. Result: Ultrasensitive HBsAg kit based on IRMA method showed the detection of up to 0.01 IU/ml not only for WHO 1st International Standard 1985(80/549) but also for WHO 2nd International Standard 2003(00/588. subtype adw2, genotypeA) and the sensitivity level was measured as 0.01 IU/ml by WHO standard. In testing the performance for detection of mutant forms, the 9 kinds of subtype 'ad' and one kind of subtype 'ay' mutant materials were detected, demonstrating the capacity of detecting various types of mutant forms. Conclusions: With the clinical importance of sensitivity level and performance in detection of mutant forms increasing in the field of HBsAg diagnosis, the examination of IRMA's effectiveness using RIA method in the aspects of the sensitivity level and performance in detection of mutant forms was carried out and its result is as follows. The sensitivity level was measured as 0.01 IU/ml by WHO standard and it was possible to measure various types of mutant forms with high sensitivity. Thus it is suggested that more speedy and accurate reports could be produced from a nuclear medicine laboratory for clinical practitioners requiring results of various situations.

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