• Journal of Applied Reliability
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• v.18 no.3
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• pp.220-228
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• 2018

Purpose: The purpose of this study is to investigate the tail behavior of the life distribution which exhibits an increasing failure rate or other positive aging effects after a certain time point. Methods: We characterize the tail behavior of the life distribution with regard to certain reliability measures such as failure rate, mean residual life and reliability function and derive several stochastic properties regarding such life distributions. Also, utilizing an L-statistic and its asymptotic normality, we propose new nonparametric testing procedures which verify if the life distribution has an increasing tail failure rate. Results: We propose the IFR-Tail (Increasing Failure Rate in Tail), DMRL-Tail (Decreasing Mean Residual Life in Tail) and NBU-Tail (New Better than Used in Tail) classes, all of which represent the tail behavior of the life distribution. And we discuss some stochastic properties of these proposed classes. Also, we develop a new nonparametric test procedure for detecting the IFR-Tail class and discuss its relative efficiency to explore the power of the test. Conclusion: The results of our research could be utilized in the study of wide range of applications including the maintenance and warranty policy of the second-hand system.

• The Korean Journal of Rehabilitation Nursing
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• v.4 no.2
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• pp.219-231
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• 2001

The purpose of this study was to investigate the relationship among percieved social support, hope and quality of life of the cancer patients and to gain the baseline data for development of nursing intervention program for promoting quality of life in cancer patients. The design of this study was a cross sectional correlational survey. The subjects were 220 out and in-cancer patients in 5 general hospitals in Pusan. The data were collected from July 2 to August 1, 2001. The instruments were the Percieved social support scale(16 items, 5 point scale) had developed by Tae(1986), Hope scale(12 items, 4point scale) developed by Nowotny(1989) and Quality of life scale(31 items, 10 point scale) developed by Tae et al.(2000). The data was analyzed by the SPSS/PC+ program using frequency & percentage, item mean & standard deviation, t-test, ANOVA & Scheffe test, Pearson's correlation coefficient. The results of this study was as follows: 1) The item mean score of quality of life was $6.05{\pm}1.16$ (range 0-10). The highest score of subarea of the quality of life was the spiritual wellbeing area ($7.09{\pm}1.63$) and the lowest score was social wellbeing area ($5.53{\pm}1.65$). The mean score of perceived social support was $52.65{\pm}10.32$ (최저 1, 최고 80). The mean score of family support was $32.71{\pm}6.66$ (range 1-40) and the mean score of medical team support was $19.93{\pm}5.95$ (range 1-40). The mean score of Hope was $37.02{\pm}5.64$ (range 1-48). 2) There were statistically significant difference in the score of quality of life according to the life effect of religion(F=3.97, p=0.00), treatment method(F=2.94, p=0.01), area of diagnosis(F= 3.48, p=0.01), stage of disease (F=13.74, p=0.00). 3) There was significant correlation between perceived social support(r=0.44, p=0.000 ; family support ; r=0.334, p=0.000, medical support; r=0.395, p=0.000), hope(r=0.563, p=0.000) and quality of life. In conclusion, there was a significant relationship among perceived social support, hope and quality of life. Therefore perceived social support, hope intervention programs should be developed to improve the quality of life in cancer patients.

• Proceedings of the KSME Conference
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• 2003.04a
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• pp.255-260
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• 2003

Most of the fatigue test were achieved in fully reversed condition that mean stress is zero. But, generally, mean stress can not be zero. This research was achieved the bending fatigue test that changes mean stress to spring steel and was studied relation with the mean stress and the fatigue life. The method to search effect about mean stress was extended S-N graph in two cases. One method was extended S-N graph using modified Miner's rule with considering damage. Another was extended using tendency of S-N graph. The exponential value(${\alpha}$) of mean stress-alternating stress equation is converged between the Goodman's and the Gerber's value even if fatigue life increases.

• Korean Journal of Hospice Care
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• v.6 no.2
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• pp.69-78
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• 2006

Purpose: This study was conducted to analysis relationship about quality of life and family burden of the home-based hospice patient families. Method: The subjects consisted of 94 families with home-based hospice patient. The ages of the subjects were 17-73 years with hospice patient who receivedhome visiting care and registered at 4 hospitals in Daegu and Kyung-Buk. The data was collected from March to November 2004. The instruments used for the study were Quality of Life Scale (GLS) and Family Burden Questionnaire (FBQ). The analysis was done using frequency, mean, standard deviation, correlation and stepwise multiple regression with SPSS WIN 11.0. Results: The results were as follows: 1. The mean score of family burden was 3.36 ($\pm0.55$). The highest mean score of family burden 6 factors were wellness of future 3.85($\pm1.10$), and the second was economic family burden 3.63($\pm0.97$). 2. The mean score of quality of life was 3.09 ($\pm0.48$). The lowest score of quality of life 6 factors were economic status 2.86($\pm0.54$), and the second was physical state and function 3.01($\pm0.62$). 3. In the home-based hospice patient families, family burden had significant negative correlation with quality of life(r=-0.25, p=0.012). 4. Emotional status accounted for 11% of family burden in the home-based hospice patient families by means of stepwise multiple regression. 5. Economical status accounted for 18 and age accounted for an additional 11% of quality of life in the home-based hospice patient families by means of stepwise multiple regression. Conclusion: The finding showed that family burden and quality of life of home-based hospice patient families were significantly negative correlation and the highest factor of family burden was wellness of future and the most important factor of quality of life was economic status.

• International Journal of Reliability and Applications
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• v.7 no.1
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• pp.1-11
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• 2006

The better mean residual life at $t_0\;(BMRL-t_0)$ class of life distribution is introduced by Kulasekara and Park (1987). They proved that the $BMRL-t_0$ class contains the DMRL class, but it is a proper subclass of the NBUE class. In this paper we develop a new family of tests for testing exponentiality against the $BMRL-t_0\;(WMRL-t_0)$ alternatives based on the goodness of fit approach. It is shown that the suggested test is better than the one introduced by Kulasekara and Park (1987) in the sense of Pitman asymptotic efficiency values.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.14
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• pp.5927-5936
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• 2014

Introduction: Breast cancer is the most common cancer among Jordanians. Breast cancer patients suffer from several negative consequences after treatment and these include pain, fatigue, sexual problems, appearance and body image concerns, with psychological dysfunction. This could affect the patient quality of life and psychological well-being. To the best of our knowledge, there is no published quantitative data on the quality of life and psychological well-being of breast cancer patients in Jordan. The objective of this study was to obtain such data and assess predictors with calculated scores. Methods: In this cross-sectional study conducted among breast cancer patients in Jordan diagnosed in 2009 and 2010, assessment was performed using the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30), the Breast Module (QLQ-BR23) and the Hospital Anxiety and Depression Scale (HADS). Clinical, demographic and psychosocial indicators that could predict patient quality of life scores were collected. Results: The number of patients interviewed was 236 (mean age=$50.7{\pm}10.7$ years). The mean Global Health score for the QLQ-C30 was $63.7{\pm}20.2$ SD. Among functional scales, "social functioning" scored the highest ($mean=78.1{\pm}28.6$ SD), whereas "emotional functioning" scored the lowest ($mean=59.0{\pm}SD\;33.5$). For the QLQ-BR23, the worst scores within the functional scales were for "body image" ($mean=52.1{\pm}36.8$ SD) and "future perspective" ($mean=52.9{\pm}38.5$ SD). The worst symptom was "upset by hair loss" ($mean=69.8{\pm}43.0$). The mean HADS scores was $18.{\pm}9.0$ SD. Out of study participants, 53% scored abnormal on the anxiety scale and 45% on the depression scale. Severe depression and severe anxiety were detected among 8% and 14% of study participants, respectively. Statistically significant predictors for individual scores were similar to those reported in published studies, such as the presence of recurrence since baseline, family history of cancer, low educational status, current social problems, extent of the disease, presence of financial difficulties, and employment status. Conclusions and Recommendations: Breast cancer survivors in Jordan have overall good quality of life scores when compared with patients from Western countries. However, their psychological wellbeing is more impaired. There is an urgent need for psychosocial support programs and psychological screening and consultation for breast cancer patients at hospitals of the Ministry of Health in Jordan.

• Research in Community and Public Health Nursing
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• v.12 no.3
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• pp.696-704
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• 2001

Purpose: This study was to investigate the family life events stress and family functioning and social support of wives, and to find out the correlation among these variables. Method: The subjects were 263 wives who participated voluntarily in the questionnaire. The instrument used in this study comprised family life events stress, family functioning and social support instruments, and the data were collected from Sep.10 to Sep. 29 with self-administered questionnaires. We analyzed the data using descriptive statistics, Pearson correlation, t-test and ANOVA with SPSS win. Results: 1) The mean score of family life events stress was 25.8, family functioning was 47.2, and social support was 43.4(4 point scale), 2) The rate of correlation between family life events stress and family functioning was (r=-.18), that between family life events stress and social support was (r=-.26), and that between family functioning and social support was (r=0.46). 3) The mean score of family life events stress by general characteristics was significant in age, religion and family type. The mean score of family functioning by general characteristics was significant in education. The mean score of social support by general characteristics was not significant. Conclusion: Considering the results above, we can recognize that there are close relations among family life events stress, family functioning and social support. Although the correlation coefficient is somewhat different, these three variables are very significant for wives.

• Journal of Korean Academy of Nursing
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• v.30 no.3
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• pp.670-681
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• 2000

The purpose of this study was to identity the level of burden, social support and quality of life of the subjects. The subjects of this study were 68 mothers of nephrotic syndrome patients whose children were hospitalized in one pediatric ward of the University Hospital in Seoul. The data was collected using questionnaires, and the period of the data collection was from Nov. 15 to Dec. 31, 1999. The instruments used for this study were the Burden Measurement Instrument developed by Montgomery et. al(1985), social support measurement instrument designed Brandt an Weinert(1978) and Quality of life scale designed by Ro,Yoo JA(1988). The data analysis was done by SPSS, t-test, ANOVA and the Pearson correlation coefficient. The results of were as follows. 1. The level of burden showed a mean score of 54.47, the level of social support, a mean score of 86.00 and the level quality of life, a mean score of 140.20. 2. The level of burden differed according to mother's religion, patient's purpose for admission and perceived patient's condition by mothers. 3. The level of social support and the level of quality of life differed according to perceived patient's condition by mothers. 4. There was a negative correlation between burden and social support(r=-.348, p<.001). Also, burden was negatively related with quality of life(r=-3.97, p<.001). Social support was positively related with quality of life(r=.064, p<.001).

• Journal of Korean Clinical Nursing Research
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• v.20 no.3
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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.

• Journal of Korean Clinical Nursing Research
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• v.23 no.3
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• pp.332-340
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• 2017

Purpose: This study was to identify the quality of life and its related factors in patients with benign prostatic hyperplasia. Methods: A cross-sectional survey design was utilized. Data were collected using questionnaires from 128 patients with benign prostatic hyperplasia who visited an outpatient department at one general hospital in 2016. Data were analyzed using Mann-Whitney U test, Kruskal Wallis test, Pearson's correlation coefficient and hierarchical multiple regression analysis. Results: Mean age of the participant was $67.81{\pm}6.94$. Mean years since diagnosis was $6.41{\pm}5.20$. The mean score of quality of life was $0.82{\pm}0.09$, indicating that QOL was relatively low. Lower urinary tract symptoms (p=.029), anxiety, depression, Activities of daily living were significantly correlated to with quality of life (p<.001). Activities of daily living accounted for 54% (p<.001) of the variance in quality of life as a result of hierarchical multiple regression analysis. Conclusion: The results of the study showed that nursing intervention may improve the quality of life of patients with benign prostatic hyperplasia by increasing their Activities of daily living.