Background: The clinical course of the neoplasm may vary due to both patient and tumor cell characteristics. Aim: The aim of this study was to research the influence of certain clinical and pathological features on the prognosis of early stage breast cancer. Materials and Methods: This study included 117 women that were treated and followed-up in between the years 2001-2011. The demographic, clinical and histopathological features of the cases were reviewed retrospectively. Statistical analysis: In categorical comparisons between groups, cross-tab statistics were provided and significance levels were estimated using chi-square test. Cox regression analysis, Pearson and Spearman correlation tests, and the Kaplan-Meier test were also used. Results: With an average of 35-months follow-up, the mean disease-free survival of patients was 91 months and the mean overall survival time was 132 months. In the whole study group, the disease-free survival rates were 88, 84, 83 and 52%, while the overall survival rates 95, 94, 83, and 83% within the first, third, fifth and tenth years, respectively. The disease-free and overall survival rates were decreased with increasing tumor grades, though this was not statistically significant. The presence of lymphovascular invasion, positive staining with Ki67 and postmenopausal status were associated with shorter disease-free and overall survival times. In multivariate analysis, only age and Her2/neu receptor status influenced the prognosis significantly. Conclusions: In parallel to clinical, histopathological, and immunohistochemical prognostic features in breast cancer, in this study positive Her2/neu receptor status, a previously accepted poor prognostic factor, was found to have positive influence after trastuzumab treatment.
Purpose: This study was conducted to compare self-rated health, health status, and health promotion behaviors between non-low income and low income elderly women in the urban setting. Method: The subjects of this study consisted of 668 Korean elderly women over 65years. The data was analyzed by the SAS(ver.8.02) computer program, and it included descriptive statistics, ${\chi}^2-test$, analysis of covariance, pearson correlation coefficient and multivariate logistic regression. Results: 1) The non-low income elderly women had significantly higher scores(self-rated health, health status, and health promotion behavior) than the low income elderly women. 2) In low income elderly women, age, number of children were the main effect factors of health status, and level of education, burden of medical expense were the main effect factors of health promotion behaviors. In non-low income elderly women, number of children was the main effect factors of health status, and level of education, level of pocket money were the main effect factors of health promotion behaviors. Conclusion: This study showed that the establishment of a health care system for elderly according to their social-economic level is very important for providing productive care apposite to the situation of elderly.
Purpose: In this study, patients in whom two computed tomography (CT) scans had been obtained within 24 hours of injury were analyzed to determine the incidence, risk factors and clinical significance of a progressive intracerebral hematoma (PIH). Methods: Participants were 182 patients with a traumatic intracerebral hematoma and contusion who underwent a repeat CT scan within 24 hours of injury. Univarite and multivariate statistics were used to define growth (volume increase) and to examine the relationship between the risk factors and hemorrhage expansion. Results: Fifty-four percent of the patients experienced progression in the size of the lesion in the initial 24 hours postinjury. A PIH was independently associated with worsened Glasgow coma scale (GCS) score (2.99, 1.04~8.60), the presence of subarachnoid hemorrhage (6.29, 2.48~16.00), the presence of a subdural hematoma (6.18, 2.13~17.98), the presence of an epidural hematoma (5.73, 1.18~27.76), and the presence of a basal cistern effacement (10.93, 1.19~99.57). Conclusion: For patients undergoing scanning within 2 hours of injury, the rate of PIH approaches 61%. Early repeated CT scanning is indicated in patients with a nonsurgically-treated hemorrhage revealed on the first CT scan. Worsened GCS score, significant hematoma growth and effacement of the basal cisterns on the initial CT scan are powerful predictors of which patients will require surgery. These findings should be important factors in understanding and managing of PIH.
The Journal of Korean Society for School & Community Health Education
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제11권2호
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pp.57-69
/
2010
Objectives: The purpose of this study was to evaluate the effect of nutrition and health-related behavior on quality of life in some adolescents. Methods: The subjects of this study were total 243 middle school students in Deagu, Korea. A self-administrated questionnaires were used to obtain general characteristic, health-related behaviors, nutrition status, and quality of life. The height and weight of participants were measured, then calculated body mass index(BMI). To assess an association between nutrition and health-related behavior and quality of life, an univariate and multivariate analysis were applied using PASW Statistics 18(SPSS Inc, Chicago, USA). Results: As the perceived general health and subjective happiness were better, there were a higher score for all subscales of quality of life. The adolescents, the highest of total intake of energy and overweight, were more likely to have lower quality of life score but there were no statistically significant. Factors related to the adolescents's quality of life were found to be gender, perceived general health, subjective happiness and physical activity. Conclusions: Various factors were related to quality of life in adolescents. To improved the quality of life in adolescent, it is need to develope a physical activity program and counseling of mental condition as well as adequate diet programs.
Purpose: By analyzing factors related to suicide ideation of Korean middle and high school students, the purpose of this study was to multi-dimensionally understand suicide ideation of Korean middle and high school students and arrange the plans to prevent suicide. Methods: This study used and analyzed the data on ‘The 3rd (Year2007) Korea Youth Health Risk Behavior Web-based Survey (KYHRBWS)' conducted by the Korea Centers for Disease Control and Prevention. In this study, we analyzed 74,698 respondents in total. SPSS 12.0 Program was used to analyze the survey. Descriptive statistics, Chi-Square Test and multivariate logistic regression were also used as research methods. Results: 23.8% of the Korean middle and high school students had suicide ideation during the last one year. Girls had higher possibility of suicide ideation by 1.51 times compared to boys. Students with poor academic achievement had more suicide ideation. In terms of health characteristics, students who perceived themselves as not healthy, and students with short weekday sleeping hours, more drinking experience and more smoking experience had more suicide ideation than others. Furthermore, students who perceived themselves as overweight or obese had more suicide ideation than other students. In terms of mental characteristics, students with high level of stress, low level of happiness and depression had more suicide ideation. Conclusion: As a result of this study, we found out that the factor that had the biggest influence on suicide ideation of Korean middle and high school students was depression. Consequently, active supports and policies to decrease suicide ideation of Korean middle and high school students are necessary. Therefore, active interviews, education for suicide prevention, and periodical screening inspection should be introduced in schools.
Background: The purpose of this study was to identify the status of Successful Aging among the elderly aged 65 and over in rural areas and to compare factors related with Successful Aging between "kyung-ro-dang" users and non-users. Methods: A total of 181 elderly aged 65 or older were selected from four districts (Heung-upri, Mejiri, Sajerri, and Daeanri) of Wonju city. A survey method using face to face interviews was applied to collect information. Successful aging was measured on a 5-point Likert-type scale using the successful aging scale developed for the Korean elderly, which indicates the higher the score, the higher the level of successful aging. Descriptive statistics, bivariate, and multivariate analyses were computed; the level of significance was set at 5%. Hierarchical polynomial regression was applied to find out the factors associated with successful aging. Results: Of the total, 112 elders used kyung-ro-dang and 69 elders who did not use kyung-ro-dang. The level of successful aging of the elderly was higher among kyung-ro-dang users than non-users. The factors related to successful aging among kyung-ro-dang users were walking and social participation. Users who walk more than 4 times per week and social participation activities have a higher level of satisfaction. In the case of non-users, a higher level of monthly income, having a spouse, social support, and social participation associated with a higher level of successful aging. Conclusion: Monthly income, social participation, and social factors were found to be related to successful aging along with physical and mental health conditions among the elderly in rural areas. Therefore, it can be concluded that income, social as well as mental and physical factors, are more critical for successful aging in the rural community care in Korea.
Journal of the Korean Society of Clothing and Textiles
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제28권9_10호
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pp.1300-1311
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2004
The aim of this study was to provide the 2 and 3 dimensional statistics requisite in the sizing system and design of gloves. The 64 2-dimensional static measurements were selected to provide information about hands. Participants in the study were 824 adults, aged between 18 and 64. To summarize the information from the measurement values, a Factor Analysis and a Cluster Analysis among multivariate analyses were performed. 3-D scanner was used for visual results of hand shape of each cluster. The results were as follows. Twenty-two items were used for the factor and cluster analysis in order to classify the adult hand shape. The variable quantities that are explained by a total of 3 factors amounted to under 79.37% of the variable quantities. The definition results of the factors related to the hands are as follows: Factor 1 is the horizontal dimension, the thickness of hand factor; Factor 2 is the height of the crotch; and Factor 3 is the vertical dimension of the hand. The adults' group hand was divided into 2 clusters according to a cluster analysis using factor scores. The characteristics according to hand type were as follows: Cluster 1 referred to high horizontal dimensions and thickness, rather small vertical dimensions and crotch height; and Cluster 2 represented the rather smaller horizontal dimensions and thickness but longer hand length than Type 1. To provide specific shape data of each cluster, 3-D scanner measurement was performed. 3-dimensional data base was developed for each cluster type and visual information was provided.
With the recent machine learning paradigm of using nonparametric Bayesian statistics and statistical inference based on random sampling, the Dirichlet distribution finds many uses in a variety of graphical models. It is a multivariate generalization of the gamma distribution and is defined on a continuous (K-1)-simplex. This paper presents a sampling method for a Dirichlet distribution for the problem of dividing an integer X into a sequence of K integers which sum to X. The target samples in our problem are all positive integer vectors when multiplied by a given X. They must be sampled from the correspondingly gridded simplex. In this paper we develop a Markov Chain Monte Carlo (MCMC) proposal distribution for the neighborhood grid points on the simplex and then present the complete algorithm based on the Metropolis-Hastings algorithm. The proposed algorithm can be used for the Markov model, HMM, and Semi-Markov model for accurate state-duration modeling. It can also be used for the Gamma-Dirichlet HMM to model q the global-local duration distributions.
This study aims to investigate the influence of person-organization(P-O) fit on job satisfaction, and turnover intent mediated through goal commitment using structural equation modeling. An experimental design is applied to test seven hypotheses that reflect the research questions. Five star deluxe hotel employees are targeted for sampling. A total of 180 faithful cases out of 250 cases have been analyzed. To analyze the data, descriptive statistics and multivariate analysis of variance, and structural equation modeling(SEM) are employed using SPSS 19.0 and AMOS 4. The results indicate the hotel employees' perceived P-O fit is positively associated with goal commitment and job satisfaction while negatively linked with turnover intent. Also, goal commitment has a positive effect on job satisfaction while having a negative effect on turnover intent, mediating between P-O fit and organizational outcomes. Therefore, the needs to evaluate P-O fit and goal commitment during recruitment and after organizational entry have been raised.
The purpose of the study is to predict the shipping business during the period of 2011 using the ARIMA-type models. This include the ARIMA and Intervention-ARIMA models. The multivariate cause-effect econometric model is not employed for not assuring a higher degree of forecasting accuracy than the univariate variable model. Such a cause-effect econometric model also fails in adjusting itself for the post-sample. This article introduces the four ARIMA models and six Intervention-ARIMA models. The monthly data cover the period January 2000 through October 2010. The out-of-sample forecasting performance is compared between the ARIMA-type models and the random walk model. Forecasting performance is measured by three summary statistics: root mean squared percent error, mean absolute percent error and mean percent error. The root mean squared percent errors of all the ARIMA-type models are somewhat higher than normally expected. Furthermore, the random walk model outperforms all the ARIMA-type models. This reveals that the BDI is just a random walk phenomenon and it's meaningless to predict the BDI using various econometric techniques. The ARIMA-type models show that the shipping market is expected to be bearish in 2011. These pessimistic ex-ante forecasts are supported by the Hodrick-Prescott filtering technique.
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