• 근관절건강학회지
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• 제25권2호
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• pp.148-156
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• 2018

Purpose: The purposes of this study were to examine health-related quality of life and to identify the mediating effect of resilience on the relationship among uncertainty, distress, and health-related quality of life in lung cancer patients. Methods: A total of 149 lung cancer patients visiting the D hospital in B city completed a questionnaire, including demographic and disease-specific characteristics, uncertainty, distress, resilience, and health-related quality of life. Data were analyzed with descriptive analysis, t-tests, ANOVA, and multiple regression analyses via SPSS 24. Results: Health-related quality of life was $81.00{\pm}21.39$ (range 0~136) in lung cancer patients. In the results of hierarchical regression analyses, the health-related quality of life was associated with education, uncertainty, distress, and resilience. However, there was no mediating effect of resilience on the relationship among uncertainty, distress, and health-related quality of life. Conclusion: Lung cancer patients with high uncertainty and distress and low resilience could experience low health-related quality of life. In order to reduce uncertainty and distress, it is necessary to provide more detailed, systematic information and support, while reinforcing positive thinking.

• 품질경영학회지
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• 제51권3호
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• pp.419-434
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• 2023

Purpose: Measurement results obtained under non-ideal measurement environment conditions may contain uncertain factors. As a result, the reliability of measurement results may be deteriorated. In this study, we tried to find ways to improve quality by evaluating and applying measurement uncertainty based on GUM. Methods: In the flatness measurement of semiconductor parts, uncertainty factors that could occur under actual environmental conditions of workers were derived, and measurement uncertainties were calculated, and methods for minimizing the main factors affecting the measurement results were analyzed. Results: Depending on the part and the coordinate measuring machine, it was shown that the effect of dispersion caused by repeated measurements as type A uncertainty and the effect of the calibration results of equipment as type B uncertainty have the main influence. Conclusion: Depending on the uncertainty factors of type A and type B and the influence of the total expanded uncertainty, the central value and confidence interval of the initial measurement results showed fluctuations. It is considered that analysis and measures for the main uncertainty factors are needed as quality improvement in the industrial field.

• 여성건강간호학회지
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• 제11권4호
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• pp.316-323
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• 2005

Purpose: The purpose of this study was to explore the relationships among women's total symptom distress, uncertainty and quality of life in women with endometriosis. Method: A total of 121 women who had been diagnosed with endometriosis was given a questionnaire. Data was collected from August 2004 to January 2005. The data was analyzed by frequency, mean, t-test, ANOVA, Pearson correlation coefficient, and multiple linear regression analysis using SPSS WIN 10.0 software. Result: The mean score of TSD was 3.23. 'Menstrual cramping' showed the highest score. The mean score of uncertainty, and quality of life of the subject was 56.6, and 38.3 respectively. TSD was significantly related with coffee intake and uncertainty was significantly related with marital status, economic status, alcohol intake, diagnosis after period, and family history. Quality of life was significantly related with age, and dysmenorrhea. There were significant relationships between total symptom distress and uncertainty, and quality of life. There were significant relationship between uncertainty and quality of life. Conclusion: Endometriosis symptoms showed a significant relationship with uncertainty and quality of life. This study will help to manage women with endometriosis.

• 근관절건강학회지
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• 제27권2호
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• pp.189-198
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• 2020

Purpose: The prevalence rate of stroke is increasing due to the rise in the aging population. The stroke sequela, including physical and mental disabilities, remain even though patients are alive, and these circumstances are causing major problems, both socially and economically. This correlation study aimed to identify uncertainty, depression, and quality of life among stroke patients. Methods: Participants included 94 outpatients who were diagnosed with stroke and discharged from a tertiary hospital in S city. Between September and October 2014, a survey on uncertainty, depression, and quality of life was conducted. Data collected were analyzed using SPSS 22.0. Results: The average scores of uncertainty, depression, and quality of life were 48.36 out of 80, 41.90 out of 80, and 175.94 out of 245, respectively. The uncertainties exhibited a positive correlation with depression and a negative correlation with quality of life. The correlation between depression and quality of life was found to be negative. Conclusion: To enhance the quality of life of stroke patients, interventions to reduce uncertainty and depression as well as improve physical care to reduce difficulties in daily living should be implemented.

• 한국물환경학회지
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• 제22권3호
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• pp.427-430
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• 2006

Uncertainty is one of the key issues of the water quality management. Uncertainty occurs in the course of all water quality management stages including monitoring, modeling, and regulation enforcement. To reduce uncertainties of water quality monitoring, manualized monitoring methodology should be developed and implemented. In addition, long-term monitoring is essential for acquiring reliable water quality data which enables best water quality management. For the water quality management in the watershed scale, fate of pollutant including its generation, transport and impact should be considered while regarding each stage of water quality management as an unit process. Uncertainties of each stage of water quality management should be treated properly to prevent error propagation transferred to the next stage of management for successful achievement of water quality conservation.

• 임상간호연구
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• 제20권3호
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• pp.279-289
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• 2014

Purpose: This study was conducted to investigate the relationship between uncertainty in illness and the future, sick role behavior with what diet, weight control, no smoking, abstinence, doctor visits, medications, etc, and quality of life of rehospitalized patients after percutaneous coronary intervention in a cardiology ward. Methods: A total of 120 patients participated in the study. Data were collected using a questionnaire and analyzed using t-test, ANOVA, $Scheff{\grave{e}}$ test, and Pearson's Correlation Coefficient. Results: The mean score for uncertainty was $3.45{\pm}1.08$. Sick role behavior of the patients showed a moderate value with a mean of $3.68{\pm}0.79$. The mean score for quality of life was $3.52{\pm}0.64$. Uncertainty in illness and the future was significantly correlated to sick role behavior with that diet, weight control, no smoking, abstinence, doctor visits, medications, etc (r=-.27, p=.002), and quality of life (r=-.35, p<.001), and sick role behaviors were significantly correlated to quality of life (r=.62, p<.001). Conclusion: The results implicate that there is a need to decrease the levels of uncertainty and reinforce positive behaviors by patients in order to improve their quality of life.

• 대한통합의학회지
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• 제10권4호
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• pp.153-163
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• 2022

Purpose : The purpose of this study was to investigate the differences between uncertainty of chronic diseases and quality of life with regard to elderly people. Methods : The participants of this study were 350 elderly people, aged over 65 years. The collected data were analyzed using the SPSS Window program and the general characteristics of the participants and sub-domains of quality of life were analyzed by several frequency analyses and descriptive statistics such as mean, standard deviation, skewness, and kurtosis. Further, the differences between the sub-domains of uncertainty and sub-domains of quality of life were analyzed through independent t-test and one-way ANOVA. In order to reach conclusive results, post-test was analyzed by the Scheffe test. In addition, Pearson's correlation analysis was performed to determine the correlation between the target categories. A significance level of 𝛼=.05 was used to verify statistical significance. Results : As a result of examining "uncertainty" with respect to general characteristics, such as older age, low educational background, and chronic diseases, it was observed that the more intense these factors became, the more the level of uncertainty increased. In addition, it was also noted that except "accompanying diseases" in social domain, the participants enjoyed a high level of quality of life. The correlation was noted between domains of complexity and sociality (p<.01), domains of inconsistency and sociality (p<.01), domains of complexity and living environment (p<.01), domains of inconsistency and living environment (p<.01), and total score of uncertainty and total quality of life (p<.01). Conclusion : In this study, differences were found between "uncertainty" and "quality of life" of elderly people; the correlation between the sub-domains based on general traits was found to be negative (-). This suggests that objective evidence can be presented for the prevention of diseases by using mental health programs for the elderly in future.

• 대한간호학회지
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• 제34권7호
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• pp.1184-1193
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• 2004

Purpose: The purpose of this study was to explore the relationship of uncertainty, hope and quality of life in patients with breast cancer. Method: The subjects of the study were 113 breast cancer patients treated at 3 university hospitals in Daegu and Busan from June 1 to September 30, 2003. Uncertainty was measured by the Mishel Uncertainty in Il1ness Scale (MUIS), Hope was measured by Nowotny's Hope Scale, and quality of life by Ro's Korean Quality of Life(QOL). Data was analyzed with the SPSS program by t-test, ANOVA, Spearman's rank correlation and Multiple Regression Analysis. Result: The scores of uncertainty were negatively correlated with hope and QOL(all p's<0.05). Uncertainty revealed that there was a negative correlation among subitems of hope such as confidence, relationship with others, possibility of future, and inner motivation(r=-.333, p=.000; r=-.230, p=.015; r=-.260, p=.006; r=-.291, p=.003). Uncertainty also showed a negative correlation among subitems of QOL such as emotional status, self esteem, and relationship with family(r=-.29, p=.004; r=-.326, p=.000; r=-.197, p=.044), whereas hope revealed a positive correlation among subitems of QOL such as emotional status, self esteem, relationship with neighbor, and relationship with family(r=.243, p=.011; r=.487, p=.000; r=.29, p=.001; r=.29, p=.001). The score of uncertainty was low in graduate school students and subjects using problem solving as a coping method. However, the score of hope was high in college students and subjects using a problem solving method, and the score of QOL was high in professionals. Conclusion: Based on the study results, breast cancer patients experienced living with uncertainty and maintaining hope. Thus the study's findings can be useful in directing a comprehensive nursing care plan to improve QOL of breast cancer patients.

• 한국농공학회논문집
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• 제49권4호
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• pp.13-22
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• 2007

The uncertainty in water quality model predictions is inevitably high due to natural stochasticity, model uncertainty, and parameter uncertainty. An integrated modeling system under uncertainty was described and demonstrated for use in watershed management and receiving-water quality prediction. A watershed model (HSPF), a receiving water quality model (WASP), and a wetland model (NPS-WET) were incorporated into an integrated modeling system (modified-BASINS) and applied to the Hwaseong Reservoir watershed. Reservoir water quality was predicted using the calibrated integrated modeling system, and the deterministic integrated modeling output was useful for estimating mean water quality given future watershed conditions and assessing the spatial distribution of pollutant loads. A Monte Carlo simulation was used to investigate the effect of various uncertainties on output prediction. Without pollution control measures in the watershed, the concentrations of total nitrogen (T-N) and total phosphorous (T-P) in the Hwaseong Reservoir, considering uncertainty, would be less than about 4.8 and 0.26 mg 4.8 and 0.26 mg $L^{-1}$, respectively, with 95% confidence. The effects of two watershed management practices, a wastewater treatment plant (WWTP) and a constructed wetland (WETLAND), were evaluated. The combined scenario (WWTP + WETLAND) was the most effective at improving reservoir water quality, bringing concentrations of T-N and T-P in the Hwaseong Reservoir to less than 3.54 and 0.15 mg ${L^{-1}$, 26.7 and 42.9% improvements, respectively, with 95% confidence. Overall, the Monte Carlo simulation in the integrated modeling system was practical for estimating uncertainty and reliable in water quality prediction. The approach described here may allow decisions to be made based on probability and level of risk, and its application is recommended.

• 자원환경지질
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• 제37권1호
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• pp.49-59
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• 2004

The concectration and distribution of contaminants obtained from a contaminated land investigation or an environmental geochemistry survey constitutes the basis of a decision-making process on environmental policies or of scientific researches. As the quality of data determines the reliability of the result, the investigation plan should be adjusted according to the purpose of the investigation. In general, the effort to improve the data quality had been focused mainly on the QA/QC procedures in laboratories. The rapid progress of analytical instrument has also contributed toward improving the analytical precision to a sacrificable degree. Nevertheless, in many cases, it is not the analytical precision that needs improvement for the better precision of overall measurement process: it is rather during the sampling process in the field that is responsible for the poor precision. To assess the data quality on a measured value, ISO recommends to provide information on "measurement uncertainty" along with the measured value. The measurement uncertainty in an environmental measurement context can be explained as the statistical number that expresses the degree of the uncertainty stemming from the sampling and analytical procedures. There is a cost involved in order to improve the precision of sampling and analytical methods so as to decrease the degree of measurement uncertainty. The economical point of compromise in an investigation planning can be achieved when the allowable degree of uncertainty has been set before-hand. The investigation can then be planned accordingly not to exceed the uncertainty limit. Furthermore, if the measurement uncertainty estimated from the preliminary investigation can be separated into sampling and analytical uncertainties, it can be used as a criterion where the resources for the investigation should be allotted cost-effectively to reinforce the weakest link of the whole investigation process. This paper aims to present a method of estimating the level of measurement uncertainty of a measured contamination concentration at a site used as an example and to show how the estimated uncertainty can be applied to serve the particular purpose of an investigation.