• Journal of Preventive Medicine and Public Health
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• v.39 no.6
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• pp.493-498
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• 2006

Objectives : Diabetes has been reported as a risk factor for several cancers. However, the association between diabetes and gastric cancer has been inconsistent. The aim of this study was to evaluate the association between the fasting serum glucose level and gastric cancer risk in Korea. Methods : Among the members of the Korean Multi-Center Cancer Cohort (KMCC) from 1993 to 2004, a total of 100 incident gastric cancer cases were ascertained until December 31, 2002 and 400 controls were matched according to age, sex, and year and area of enrollment. Of the eligible subjects, those without fasting serum glucose level information were excluded, with a total of 64 cases and 236 controls finally selected. On enrollment, all subjects completed a baseline demographic and lifestyle characteristics questionnaire, and had their fasting serum glucose level measured. The Helicobacter pylori infection status was determined by an immunoblot assay using long-term stored serum. The odds ratios (ORs) were estimated using conditional and unconditional logistic regression models adjusted for the H. pylori infection status, smoking, drinking, education, follow-up period and matching variables. Results : The ORs for risk of gastric cancer according to the serum glucose level were 1.33 [95% CI=0.50-3.53] and 1.66 [95% CI=0.55-5.02] for the categories of 100-125 and 126 mg/dL or greater, respectively, compared to the category of less than 100 mg/dL. No increased risk of gastric cancer according to the serum glucose level was found (p-trend=0.337). Conclusions : This study provides no evidence for an association of the serum glucose level with gastric cancer.

• Journal of Educational Research in Mathematics
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• v.23 no.4
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• pp.467-490
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• 2013

Correlation is a basic statistical concept which is necessary for understanding the relationship between two variables when they change values. In the middle school curriculum of Korea, only informal definition of correlation is taught with two-way data representations such as scatter plots and contingency tables. In this study, we investigated Korean high school students' understanding of correlation using a test consisting of 35 items about interpretation of scatter plot, contingency table, and text in realistic situation. 216 students from a high school in Seoul took the test for 20 minutes. From the results, we could observe the following: First, students did not have right criteria for determining the strength of correlation presented in scatter plots. Most of students could determine if there is correlation/no correlation and if the correlation is positive/negative by seeing the data presented in scatter plots. However, they did not judge by the closeness to the regression line but rather judged by the closeness between data points. Second, when statements about comparing the strength of correlation in the context of real life situation were given in text, the students had difficulty in understanding the distribution-related characteristic of the bi-variate data. Students had difficulty in figuring out the local distribution characteristic of data, which cannot be guessed merely based on the expression 'The correlation is strong' without statistical knowledge of correlation. Third, a large number of students could not judge the association between two variabels using conditional proportions when qualitative data are given in 2-by-2 tables. They made judgement by the absolute cell count and when the marginal sum of two categories are different for explanatory variable they thought the association could not be determined. From these results, we concluded that educational measures are required in order to remove such misconceptions and to improve understanding of correlation. Considering that the current mathematics curriculum does not cover the concept of correlation, we need to improve the curriculum as well.

• Perspectives in Nursing Science
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• v.15 no.2
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• pp.49-69
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• 2018

Purpose: The purpose of this study was to derive contextual indicators of medical provider quality and assess their relative importance along with the individual utilization of antenatal care (ANC) and institutional births with a skilled birth attendant (SBA) in India using a multilevel framework. Methods: The 2015~2016 Demographic and Health Survey (DHS) from India was used to assess the outcomes of neonatal, infant, and under-five child mortality. The final analytic sample included 182,980 children across 28,283 communities, 640 districts, and 36 states and union territories. The contextual indicators of medical provider quality for districts and states were derived from the individual-level number of ANC visits (<4 or ${\geq}4$) and institutional delivery with SBA. A series of random effects logistic regression models were estimated with a stepwise addition of predictor variables. Results: About half of the mothers (47.3%) had attended ${\geq}4$ ANC visits and 75.8% delivered in institutional settings with SBAs. Based on ANC visits, 276~281 districts (43.1~43.9%) and 13~16 states (36.5~44.4%) were classified as "low" quality areas, whereas 268~285 districts (41.9~44.5%) and 8~9 states (22.2~25.0%) were classified as "low" quality areas based on institutional delivery with SBAs. Conditional on a comprehensive set of covariates, the individual use of both ANC and SBA were significantly associated with all mortality outcomes (OR: 1.17, 95% CI: 1.08, 1.26, and OR: 1.10, 95% CI: 1.02, 1.19, respectively, for under-five child mortality) and remained robust even after adjusting for contextual indicators of medical provider quality. Districts and states with low quality were associated with 57~61% and 27~43% higher odds of under-five child mortality, respectively. Conclusion: When simultaneously considered, district- and state-level provider quality mattered more than individual access to care for all mortality outcomes in India. Further investigations are needed to assess the importance of improving the quality of health service delivery at higher levels to prevent unnecessary child deaths in developing countries.

• The Korean Journal of Applied Statistics
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• v.28 no.5
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• pp.921-932
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• 2015

This study analyzed military personnel survivability in regards to offensive operations according to the scientific military training data of a reinforced infantry battalion. Scientific battle training was conducted at the Korea Combat Training Center (KCTC) training facility and utilized scientific military training equipment that included MILES and the main exercise control system. The training audience freely engaged an OPFOR who is an expert at tactics and weapon systems. It provides a statistical analysis of data in regards to state-of-the-art military training because the scientific battle training system saves and utilizes all training zone data for analysis and after action review as well as offers training control during the training period. The methodologies used the Cox PH modeling (which does not require parametric distribution assumptions) and decision tree modeling for survival data such as CART, GUIDE, and CTREE for richer and easier interpretation. The variables that violate the PH assumption were stratified and analyzed. Since the Cox PH model result was not easy to interpret the period of service, additional interpretation was attempted through univariate local regression. CART, GUIDE, and CTREE formed different tree models which allow for various interpretations.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.95-112
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• 2021

This study analyzed the effects of healing agriculture program types on program satisfaction by using functional image and emotional image of the program as mediators for the participants of healing agriculture program. The sub-variables of the healing agriculture program were classified into horticultural healing, animal healing, food healing, and forest healing. 328 questionnaires collected from the participants of healing agriculture program in the whole country were used for empirical analysis, which used SPSS v22.0 and PROCESS macro v3.4 to analyze the parallel multiple mediation model. First, Among the types of healing agriculture programs, animal healing, food healing, and forest healing had a positive (+) effect on functional image. Second, all types of healing agriculture program had a positive (+) effect on emotional image. Third, both functional and emotional images had a significant positive effect on satisfaction. Fourth, among the types of healing agriculture program, horticultural healing, animal healing, and forest healing had a significant effect on satisfaction, while food healing did not maintain the significant effect on satisfaction. Fifth, functional image mediated between healing agriculture program and satisfaction. Sixth, emotional image mediated between healing agriculture program type and satisfaction. In the next study, it is necessary to study for the adjustment of mediators other than the mediators introduced in this study or the controlled mediated analysis through the conditional process model in which the moderator variable is introduced.

• Journal of Science Education
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• v.46 no.1
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• pp.80-92
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• 2022

We fitted latent growth models of attitude towards science using the Korea Education & Employment Panel 2004-2007 data with 343 high school students. The growth model show better fit indices compared to the no growth model. The intercept and slope showed significant variances, and thus, we added control variables of the number, ratio of advanced courses, and variety in science elective subjects, and the achievement percentile for middle school. In the conditional growth model, the previous achievement has significant positive effects on the intercept and the ratio of the advanced courses and variety of science subjects show significantly positive effects on the slope. Based on the results, it supports the 2022 Revised Science Curricular that high school credit system should provide students with basic 'Physics,' 'Chemistry,' 'Biology,' and 'Earth Science,' credits in 'general electives', various integrated subjects in 'converged electives', and highly advanced subjects in 'career electives.'

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.6
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• pp.213-227
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• 2021

The purpose of this study is to identify factors that are causal and intention to revisit healing agricultural facilities and to identify the relationship between factors. the effect of experience type was analyzed on revisit intention by using facility experience satisfaction as a meditator for healing agriculture participants. The sub-variables of experience types were divided into educational experience, devious experience, entertainment experience, and aesthetic experience. 259 questionnaires collected from the people who experienced healing agriculture programs in the whole country were used for empirical analysis. The PROCESS macro v3.4 and SPSS v22.0 were used to analyze based on the singular simple mediation model which contains a single mediator. First, all types of experience had a positive (+) effect on satisfaction. Second, satisfaction had a positive (+) effect on revisit intention independently of experience type. Third, all types of experience had a positive (+) effect on revisit intention. Fourth, satisfaction mediated between experience type and revisit intention except for deviating experience among experience types. As a follow-up study, it is necessary to study for the adjustment of mediators other than the mediator introduced in the study or the controlled mediated analysis through the conditional process model in which the moderator variable is introduced.

• Environmental and Resource Economics Review
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• v.32 no.1
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• pp.1-26
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• 2023

This study employs the dichotomous choice contingent valuation method to estimate the Value of a Statistical Life (VSL) and the Value per Statistical Case (VSCC) of cancer risk. In contrast to the previous studies, which presented the mortality risk probability directly, the study uses conditional probability, which combines the chance of getting cancer and dying from it. In addition, the study examines the impact of variables that may affect willingness to pay for reducing the risk of death from cancer and getting cancer, such as the impact on daily life and pain levels associated with cancer. The results indicate that the estimated cancer VSL ranges from approximately 952 million won to 3.359 billion won, while the VSCC is estimated to be between about 0.42 billion won and 2.72 billion won. The study finds a significant difference in the VSL depending on whether the reduction in mortality risk is from a decrease in the chance of getting cancer or a decrease in the chance of dying from cancer. However, the effect of impacts on daily activities and pain on willingness to pay is inconclusive.

• Korean Journal of Social Welfare Studies
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• v.44 no.2
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• pp.169-199
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• 2013

This study has a purpose to analyze trajectories of life satisfaction of the elderly after their retirement and how the characteristics of individual, retirement and family relationship have an effect on the life satisfaction. This study has investigated the Korean elderly, who had been retired, using the data from three waves(1st wave(2005)~3rd wave(2009) of the Korean Retirement and Income Panel(KReIS). Data analysis has been used to identify the predictors of the intercept and slope related to the life satisfaction after retirement, focusing the trajectories of the life satisfaction after retirement and individual characteristics, retirement characteristics and family relationship with application of the growth curve model by Amos 20.0. First, the intercept of the life satisfaction after retirement was somewhat below average. Life satisfaction averagely increased little by little from 1st wave to 3rd wave. Second, by conducting the conditional growth curve model, the study revealed that the intercept of the life satisfaction after retirement is high on individual characteristics(sex, educational level, income, health status) and in retirement characteristics(voluntary retirement) and satisfaction with family relationship and married life). Furthermore, health status, voluntary retirement, and satisfaction with family relationship asserted the meaningful variables in the slope of life satisfaction after retirement.

• Industry Promotion Research
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• v.8 no.4
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• pp.69-79
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• 2023

This study sought to propose ways to improve the happiness of Chinese product designers by verifying whether grit moderates the effect of job stress on happiness through professional values. A purposively sampled participants of 335 Chinese product designers living in Guangdong Province, southern China, were selected. Data analysis was performed using SPSS PC+ Win. Ver. 26.0 and PROCESS Macro ver. 4.2. The statistical techniques applied were frequency analysis, reliability analysis, correlation analysis, and moderated mediation effect analysis. The research results are as follows. First, job stress showed a negative correlation with professional value and grit, but did not show a significant correlation with happiness. Except for job stress, there was a positive significant correlation between other variables. Second, the conditional indirect effect was significant when grit was M-SD, M, or M+SD. M+SD. Therefore, the moderated mediating role of grit was verified. However, as professional value increased, grit played a role in increasing happiness. Still, in the path of job stress -> professional value -> happiness, grit did not buffer the negative effect of job stress on happiness through professional stress. Suggestions were made to improve the happiness of product designers using professional values and grit.