Journal of the Korean association of regional geographers
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v.15
no.4
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pp.510-523
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2009
Geodemographics(GD) can be defined as an analytical approach of socio-economic and behavioral data about people to investigate geographical patterns. GD is based on the assumptions that demographical and behavioral characteristics of people who live in the same neighborhood are similar and then the neighborhoods can be categorized with spatial classifications with the geographical classifications. Thus, this paper, in order to identify the applicability of the geographical classification of the GD, explores the concepts of the geodemographics into Seoul city areas with Korea census data sets that contain key characteristics of demographic profiles in the area. Then, this paper attempt to explain each area classification profile by using clustering techniques with Ward's and k-means statistical methods. For this as as as, this paper employs 2005 Census dataset released by Korea National Statistics Office and the neighborhood unit is based on Dong level, the smallest administrative boundary unit in Korea. After selecting and standardizing variables, several areas are categorized by the cluster techniques into 13, this paps as distinctive cluster profiles. These cluster profiles are used to cthite a short description and expand on the cluster names. Finally, the results of the classification propose a reasonable judgement for target area types which benefits for the people who make a spatial decision for their spatial problem-solving.
Journal of the Korea Academia-Industrial cooperation Society
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v.18
no.1
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pp.669-678
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2017
This study aimed to identify the mediating effect of resilience on the relationship between stress during clinical practices and clinical competence in nursing students. A total of 137 senior nursing students in three different universities located in C city were included. The study period was between October 15 and November 15, 2016, and the data were collected using by structured questionnaires. Collected data were analyzed by descriptive analysis, t-test, ANOVA, Pearson's correlation, and Multiple regression using the SPSS 22.0 statistical program. The average score of stress in clinical practice, clinical competence, and resilience were $3.09{\pm}0.43$, $3.54{\pm}0.45$ of 5 and $4.93{\pm}0.66$ of 7. There were significantly negative correlations between stress in clinical practice and resilience (r=-.24, p=.005), as well as stress in clinical practice and clinical competencies (r=-.21, p=.012), while there were significantly positive correlations between resilience and clinical competencies (r=.59, p<.001). Resilience had a full mediated effect between stress in clinical practices and clinical competencies, which showed the significance upon Sobel test (Z=-3.02, p=.003). Therefore, it is suggested that various training courses and programs for strengthening resilience should be developed and applied to nursing curriculum.
Purpose: The purpose of this study was to examine factors influencing health related quality of life(HRQOL) in patients with hypertension. Methods: This study carried out secondary analysis using the data from the $5^{th}$ Korean National Health and Nutrition Examination Survey. Subject samples who were selected are 1,240 hypertension patients. The data were analyzed by using descriptive statistics, traditional classic regression, and quantile regression. Results: Restriction of activity, depressive mood, and subjective health status had only significant effects on HRQOL(p<.001). After quantile regression, depressive mood and subjective health status had only significant at 20%(p<.001), 40%(p<.001), and 60%(p<.01) of HRQOL. Perceived stress(p<.001) and regular exercise(p<.01) had only significant at 20% of HRQOL. Current drinking status had only significant at 20%(p<.001) and 80%(p<.01) of HRQOL. Conclusions: Quantile regression maybe a better statistical tool in understanding the heterogeneous effect of hypertension patient's HRQOL as health outcome. Therefore interventions are needed for patients with hypertension to manage each of the factors affecting the patient's perceived health status by each quantile.
Journal of the Korea Academia-Industrial cooperation Society
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v.17
no.7
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pp.192-203
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2016
The purpose of this study is to investigate the effects of task conflict on job attitudes (organizational commitment & job satisfaction), focusing on the mediating effects of supervisory communication & co-worker communication. Recently, the importance of communication as a research topic has been increasing. According to prior research, communication satisfaction has a positive effect on job performance. However, studies which take into account the different types of communication are lacking. Therefore, this study considered two types of communication (supervisory communication and coworker communication). A research model and hypotheses were developed in order to examine the theoretical research issues and questions. The sample consisted of 280 survey data drawn from employees in firms located in Korea. The data was analyzed by the statistical packages, SPSS 21.0 & AMOS 21.0 for Windows. The findings of the analysis are as follows. Firstly, it was found that task conflict had a negative (-) effect on organizational commitment & job satisfaction. Therefore, H1a & H1b are supported. Secondly, it was found that task conflict had a negative (-) effect on supervisory communication. Therefore, H2a is supported. However, it did not have a significant effect on co-worker communication. Hence, H2b is not supported. Thirdly, as regards the mediating effect of supervisory communication, it was found that supervisory communication mediated the effect of task conflict on job attitudes (organizational commitment & job satisfaction). Therefore, H3a & H3b are supported. Finally, the mediating effect of co-worker communication was not significant. Therefore, none of the sub-hypotheses of H4 are supported. Based on these findings, this study suggested directions for future research.
Journal of the Korea Academia-Industrial cooperation Society
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v.19
no.4
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pp.211-220
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2018
This study was conducted to identify the mediating effects of the therapeutic relationship with mental health professionals between empowerment and recovery in mental illness. The participants were 168 adults in two community mental health centers and three rehabilitation centers in Jeonbuk. The data were collected by structured questionnaires from April 15 to April 30, 2015 and analyzed using descriptive statistics, Pearson's correlation coefficient, and multiple regression analysis with the SPSS 19.0 statistical program. The mean score of empowerment for mental illness, recovery and therapeutic relationship were $60.4{\pm}10.85$, $101.8{\pm}20.70$ and $74.5{\pm}14.30$, respectively. There were significantly positive correlations between recovery in empowerment and therapeutic relationship (r=0.33, p<0.001), as well as empowerment and recovery (r=0.51, p<0.001), while there were significantly positive correlations between therapeutic relationship and recovery (r=0.55, p<0.001). Therapeutic relationship had a partial mediated effect between empowerment and recovery, which was found to be significant by the Sobel test (z=3.706, p<0.001). The results of this study can be used as basic data for development of a practical recovery-enhancing program to promote therapeutic relationships and improve empowerment in relation to therapist of the mentally disabled.
Kim In-Young;Park Su-Bum;Kim Byung-Soo;Park Tae-Kyu
The Korean Journal of Applied Statistics
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v.19
no.1
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pp.1-12
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2006
The aim of this study is to analyse a survey data on the number of charitable donations using a mixture of two Poisson regression models. The survey was conducted in 2002 by Volunteer 21, an nonprofit organization, based on Koreans, who were older than 20. The mixture of two Poisson distributions is used to model the number of donations based on the empirical distribution of the data. The mixture of two Poisson distributions implies the whole population is subdivided into two groups, one with lesser number of donations and the other with larger number of donations. We fit the mixture of Poisson regression models on the number of donations to identify significant covariates. The expectation-maximization algorithm is employed to estimate the parameters. We computed 95% bootstrap confidence interval based on bias-corrected and accelerated method and used then for selecting significant explanatory variables. As a result, the income variable with four categories and the volunteering variable (1: experience of volunteering, 0: otherwise) turned out to be significant with the positive regression coefficients both in the lesser and the larger donation groups. However, the regression coefficients in the lesser donation group were larger than those in larger donation group.
One of the reasons for low fertility rate in Korea is related to the delayed marriage among the population belong to marriage cohorts. The major goal of this study is to analyze how the economic resources such as level of education, whether employed or not, and occupation have affected one's marriage opportunity and how it is differed by gender. Meanwhile, the changes in the influence of economic resources and the changes in the marriage norms were also studied by analyzing 2% Census data in 1995, 2000 and 2005. Total number of 1.1 million men and women in their ages between 20 to 44 are included in data and binary-logistic analysis is used for statistical research. This study supports a traditional hypothesis that the influence of economic resources on probability of marriage is different by gender. More important academic contribution of this study is the quality of economic resources is becoming more important for men since Asian economic crisis and that the negative effect of it on women is declining since 2000. It is analyzed that the effect of marriage norm has recently decreased on the part of women. These findings suggest that there is a tendency of polarization of marriage market in Korea affected by economic polarization since Asian economic crisis.
The purpose of this study is to investigate the relationships among customer satisfaction, trust, and loyalty and examine the differences and similarities between specialized and general merchandise internet shopping malls concerning the relationships of these key success factors. The structural model is tested with each of the sub-samples(i.e., specialized and general merchandise shopping customers taken separately) and the data from entire data samples(i.e., specialized and general merchandise shopping customers pooled together). The same research model was used in analysing general merchandise, specialized, and integrated internet shopping mall to reveal and compare the casual path constructs. In the analysis of path coefficients composed of separated taken sample, all research hypothesis is accepted and the model's goodness of fit also shows all high. In the basis of the previous empirical test, multiple sample method was used. Properties of the causal paths, including standardized path coefficients, the significance of difference, latent correlations and variance explained for satisfaction, trust and loyalty in the hypothesized model, have similarities in general. This means that the proper structural management concerned with customer satisfaction, trust and loyalty is very crucial for the success of all kinds of internet shopping malls. Following the model test, I conduct a test of integrated model's path coefficients. Statistical results show that all the hypothesis concerned with internet shopping malls were accepted like the separated sample test. Click and mortar companies should clearly understand and articulate the key requirements of shopping mall satisfaction, trust and loyalty and encourage to establish linkage and interactive relationship among the research variables. In addition, internet marketers are required to customize the interaction considering and adapting the patterns of internet shopping malls. Other interesting results concerning the strategies in internet shopping malls strategy are also presented.
Guo, Li-Yan;Zhang, Shen;Suo, Zhen;Yang, Chang-Shuang;Zhao, Xia;Zhang, Guo-An;Hu, Die;Ji, Xing-Zhao;Zhai, Min
Asian Pacific Journal of Cancer Prevention
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v.16
no.7
/
pp.2745-2749
/
2015
Objective: To study the PLCE1 gene rs2274223 polymorphism with regard to esophageal cancer and its interaction with diet, lifestyle, psychological and environmental factors in Southwest Shandong province. Materials and Methods: A case series study (case-case) was conducted. Questionnaire data were collected and 3 ml-5ml venous blood was drawn for DNA extraction among the qualified research subjects. PLCE1 gene polymorphism was detected after PCR amplification of DNA. SPSS 13.0 software was used for statistical analysis of the data. Results: The three genotypes A/A, A/G and G/G PLCE1 gene rs2274223 was 31, 16 and 4 cases, accounting for 60.8%, 31.4%, 0.08% respectively. The difference of three genotypes (AA/GA/GG) proportion between negative and positive family history of patients was statistically significant, ${\chi}^2=6.213$, p=0.045. There was no statistically significant relationship between PLCE1 gene rs2274223 polymorphism and smoking, drinking, ${\chi}^2=0.119$, p=0.998, and ${\chi}^2=1.727$, p=0.786. There was no linkage of the three rs2274223 PLCE1 gene genotypes (AA/GA/GG) proportion with eating fried, pickled, hot, mildew, overnight, smoked, excitant food, eat speed, salt taste or not (p>0.05). or with living environment pollution and nine risk factors of occupational exposure (p>0.05). There was no statistically significant difference in TS scores between different genotype of rs2274223 PLCE1 gene. Conclusions: The PLCE1 rs2274223 polymorphism has a relationship with family history of esophageal cancer, but does not have any significant association with age, gender, smoking, alcohol drinking, food hygiene, eating habits, living around the environment and occupation in cases.
Shahdoust, Maryam;Hajizadeh, Ebrahim;Mozdarani, Hossein;Chehrei, Ali
Asian Pacific Journal of Cancer Prevention
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v.14
no.1
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pp.111-116
/
2013
Background: Cigarette smoking is the major risk factor for development of lung cancer. Identification of effects of tobacco on airway gene expression may provide insight into the causes. This research aimed to compare gene expression of large airway epithelium cells in normal smokers (n=13) and non-smokers (n=9) in order to find genes which discriminate the two groups and assess cigarette smoking effects on large airway epithelium cells.Materials and Methods: Genes discriminating smokers from non-smokers were identified by applying a neural network clustering method, growing self-organizing maps (GSOM), to microarray data according to class discrimination scores. An index was computed based on differentiation between each mean of gene expression in the two groups. This clustering approach provided the possibility of comparing thousands of genes simultaneously. Results: The applied approach compared the mean of 7,129 genes in smokers and non-smokers simultaneously and classified the genes of large airway epithelium cells which had differently expressed in smokers comparing with non-smokers. Seven genes were identified which had the highest different expression in smokers compared with the non-smokers group: NQO1, H19, ALDH3A1, AKR1C1, ABHD2, GPX2 and ADH7. Most (NQO1, ALDH3A1, AKR1C1, H19 and GPX2) are known to be clinically notable in lung cancer studies. Furthermore, statistical discriminate analysis showed that these genes could classify samples in smokers and non-smokers correctly with 100% accuracy. With the performed GSOM map, other nodes with high average discriminate scores included genes with alterations strongly related to the lung cancer such as AKR1C3, CYP1B1, UCHL1 and AKR1B10. Conclusions: This clustering by comparing expression of thousands of genes at the same time revealed alteration in normal smokers. Most of the identified genes were strongly relevant to lung cancer in the existing literature. The genes may be utilized to identify smokers with increased risk for lung cancer. A large sample study is now recommended to determine relations between the genes ABHD2 and ADH7 and smoking.
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