• Journal of Home Health Care Nursing
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• v.2
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• pp.19-34
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• 1995

The purpose of this study was to analysis level on family caregiver's burden for the elderly with chronic disease in a rural area and to choose priority care group, thereby facilitating the development of interventions to reduce the caregiver's burden. For this purpose, data were collected by questionaire from June 10 to October 8, 1994. The instruments for data collection were Caregiver Burden Inventory by Novak(1989) and Zarit et al(1982), severity of dementia by Hughes Scales(1982), ADL by Lawton(1971), patients' family caregiving activity by pre-survey and reference review(Lee, 1993 ; Jang, 1990 ; Yoo, 1982). The subjects were 213 family caregiver of elderly with chronic disease in a rural area. The data was analysed by the use of t-test, ANOVA, correlation and multiple regression. The results were as follows ; 1. Total burden was evaluated below average, the mean of family burden was 46.98. By the diagnostic classification, Hypertension was 27.37, DM 32.46, CVA 62.96, Dementia 61.24. 2. Significant variables which were correlated to the family caregiver's burden were the patient's disease diagnosis (F=33.82, p<0.001), severity of dementia(F=30.52, p<0.001), the status of disease management(F=11.53, p<0.001), ADL(F=10.54, p<0.001), PADL(F=7.50, p<0.001), income(F=7.17, p<0.001), caregiver's health status(F=24.53, p<0.001), a view of patient's prognosis (F=22.17, p<0.001), relationship with the patient(F=33.82, p<0.001), the number of hours per day spent on caregiving(F=77.52, p<0.001), level of intimacy of caregiver and patients(F=8.75, p<0.001), level of helping(F=4.90, p<0.01), the frequency of caregiving activity(F=3.80, p<0.01), the number of admission(F=5.54, p<0.01), the length of caregiving(F=4.43, p<0.01), other chronic patient in family(t=2.81, p<0.01), caregiver's job(F=3.11, p<0.01), the duration of illness(F=2.98, p<0.05), caregiver's religion(F=2.93, p<0.05), medical security(F=3.89, p<0.05), caregiving's helper(t=2.42, p<0.05). 3. PADL was the most important predictor to family caregiver burden(R2=0.6611). In addition to this, IADL, caregiver's health status, the length of caregiving. level of intimacy of caregiver and patients, patient's age, the patient's disease diagnosis and patient's job accounted for 76% of family caregiver burden. 4. The criteria of priority care group were as follows ; the mean of family caregiver burden was above 58, above of moderate ADL, the number of hours per day spent on caregiving above of 8 hours, above of moderate dementia. By the diagnostic classification, number of priority care group, Hypertension was 4 (8.0%), DM 4(8.0%), CVA 34(64.1%), Dementia 45(75.0%).

• Korean Journal of Psychosomatic Medicine
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• v.11 no.2
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• pp.182-195
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• 2003

Background: Marriage is one of the major life events and the primary source of individual happiness and meaning of life. It is not possible to predict who will marry whom and which marriage will be successful. Marital adjustment has significant influences on an individual and relationship functioning and is associated with mental health. Good marital quality may imply good general relationship. There are several factors that correlate with or predict good marital quality. Especially individual personality factors may be a major factor in achieving and maintaining marital stability, satisfaction and happiness. The aim of the present study was to investigate the possible relationship between dyadic adjustment and personality dimensions in urban married women. Methods: Dyadic Adjustment Scale, Eysenck's Personality Questionnaire, Beck Depression Inventory and State-Trait Anxiety Inventory were administered to 215 married women. Data analysis was based on 170 women who provided reliable informations. The descriptive statistics of demographic data and 4 scales were obtained. Then the possible relationships between each data were tested by calculating Pearson's product moment correlations. To test the effects of depression and anxiety on dyadic adjustment, stepwise multiple regression analysis was done. Results: Age and length of marriage were negatively correlated with affectional expression and dyadic cohesion. Educational level was positively correlated with total dyadic adjustment score and dyadic satisfaction. Family income was positively correlated with total dyadic adjustment score, dyadic consensus, dyadic satisfaction and dyadic cohesion. Different family type showed different total dyadic adjustment score, dyadic satisfaction and dyadic cohesion. Psychoticism was negatively correlated with total dyadic adjustment score, dyadic consensus, dyadic satisfaction, affectional expression and dyadic cohesion. Neuroticism was negatively correlated with total dyadic adjustment score, dyadic consensus, dyadic satisfaction and affectional expression. Extraversion and lie were not correlated with any factors. Beck Depression Inventory and State-Trait Anxiety Inventory scores were negatively correlated with total dyadic adjustment score, dyadic consensus, dyadic satisfaction, affectional expression and dyadic cohesion. The result of multiple regression analysis indicated that psychoticism was correlated with dyadic adjustment. Conclusion: These results showed that the demographic factors such as age, length of marriage, educational level, family income and family type were significantly correlated with dyadic adjustment. Psychoticism and neuroticism measured by Eysenck Personality Inventory were significantly correlated with dyadic adjustment. But the correlations with extraversion and lie were not significant. Especially correlation between neuroticism and dyadic adjustment seemed to be mediated by emotional state such as depression and anxiety. These findings suggest that personality factors may be involved in marital relationship and that clinician must consider personality aspect in dealing with marital problems. Future study about differences between control group and psychiatric patient group will be needed.

• The KIPS Transactions:PartA
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• v.17A no.6
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• pp.265-274
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• 2010

As the process technology scales down and integration densities continue to increase, interconnection has become one of the most important factors in performance of recent multi-core processors. Recently, to reduce the delay due to interconnection, 3D architecture has been adopted in designing multi-core processors. In 3D multi-core processors, multiple cores are stacked vertically and each core on different layers are connected by direct vertical TSVs(through-silicon vias). Compared to 2D multi-core architecture, 3D multi-core architecture reduces wire length significantly, leading to decreased interconnection delay and lower power consumption. Despite the benefits mentioned above, 3D design technique cannot be practical without proper solutions for hotspots due to high temperature. In this paper, we propose three floorplan schemes for reducing the peak temperature in 3D multi-core processors. According to our simulation results, the proposed floorplan schemes are expected to mitigate the thermal problems of 3D multi-core processors efficiently, resulting in improved reliability. Moreover, processor performance improves by reducing the performance degradation due to DTM techniques. Power consumption also can be reduced by decreased temperature and reduced execution time.

• Journal of the Korea Society of Computer and Information
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• v.17 no.6
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• pp.1-11
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• 2012

As the process technology scales down, multi-core processors cause serious problems such as increased interconnection delay, high power consumption and thermal problems. To solve the problems in 2D multi-core processors, researchers have focused on the 3D multi-core processor architecture. Compared to the 2D multi-core processor, the 3D multi-core processor decreases interconnection delay by reducing wire length significantly, since each core on different layers is connected using vertical through-silicon via(TSV). However, the power density in the 3D multi-core processor is increased dramatically compared to that in the 2D multi-core processor, because multiple cores are stacked vertically. Unfortunately, increased power density causes thermal problems, resulting in high cooling cost, negative impact on the reliability. Therefore, temperature should be considered together with performance in designing 3D multi-core processors. In this work, we analyze the temperature of the cache in quad-core processors varying cache organization. Then, we propose the low-temperature cache organization to overcome the thermal problems. Our evaluation shows that peak temperature of the instruction cache is lower than threshold. The peak temperature of the data cache is higher than threshold when the cache is composed of many ways. According to the results, our proposed cache organization not only efficiently reduces the peak temperature but also reduces the performance degradation for 3D quad-core processors.