• Journal of Preventive Medicine and Public Health
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• v.54 no.2
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• pp.145-152
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• 2021

Objectives: This study aimed to identify regional differences in the high-risk drinking rate among yearly alcohol users in Korea and to identify relevant regional factors for each quintile using quantile regression. Methods: Data from 227 counties surveyed by the 2017 Korean Community Health Survey (KCHS) were analyzed. The analysis dataset included secondary data extracted from the Korean Statistical Information Service and data from the KCHS. To identify regional factors related to the high-risk drinking rate among yearly alcohol users, quantile regression was conducted by dividing the data into 10%, 30%, 50%, 70%, and 90% quantiles, and multiple linear regression was also performed. Results: The current smoking rate, perceived stress rate, crude divorce rate, and financial independence rate, as well as one's social network, were related to the high-risk drinking rate among yearly alcohol users. The quantile regression revealed that the perceived stress rate was related to all quantiles except for the 90% quantile, and the financial independence rate was related to the 50% to 90% quantiles. The crude divorce rate was related to the high-risk drinking rate among yearly alcohol users in all quantiles. Conclusions: The findings of this study suggest that local health programs for high-risk drinking are needed in areas with high local stress and high crude divorce rates.

• Journal of Preventive Medicine and Public Health
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• v.37 no.4
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• pp.366-372
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• 2004

Objectives : This study was conducted to propose a new transmission/disequilibrium test(TDT) to test the linkage between genetic markers and disease-susceptibility genes based on haplotypes. Simulation studies were performed to compare the proposed method with that of Zhao et al. in terms of type I error probability and powers. Methods : We estimated the haplotype frequencies using the expectation-maximization(EM) algorithm with parents genotypes taken from a trio dataset, and then constructed a two-way contingency table containing estimated frequencies to all possible pairs of parents haplotypes. We proposed a score test based on differences between column marginals and their corresponding row marginals. The test also involved a covariance structure of marginal differences and their variances. In simulation, we considered a coalescent model with three genetic markers of biallele to investigate the performance of the proposed test under six different configurations. Results : The haplotype-based TDT statistics, our test and Zhao et al.'s test satisfied a type I error probability, but the TDT test based on single locus showed a conservative trend. As expected, the tests based on haplotypes also had better powers than those based on single locus. Our test and that of Zhao et al. were comparable in powers. Conclusion : We proposed a TDT statistic based on haplotypes and showed through simulations that our test was more powerful than the single locus-based test. We will extend our method to multiplex data with affected and/or unaffected sibling(s) or simplex data having only one parent s genotype.

• Health Policy and Management
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• v.30 no.1
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• pp.100-111
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• 2020

Background: Few studies have examined the performance of the public long-term care insurance (LTCI) from the perspective of geographic equity. This study investigated regional variations and associated factors in the supply and utilization of nursing home care within and also between Japan and Korea. Methods: A comparative dataset was developed by extracting data from 2013-2015 LTCI statistics yearbooks and Organization for Economic Cooperation and Development regional statistics, as well as other comparable data in Japan and Korea. The unit of analysis was the prefecture in Japan and the province in Korea. We computed variation indices and conducted regression analyses for regional variations within each country and decomposition analyses to examine the variations between the countries. Results: The overall regional supply and use of nursing home care were higher in Japan, but the regional variations in Korea were larger than in Japan. In both countries, the nursing home supply was negatively associated with the proportion of older people with independent living. Nursing home use was also negatively associated with the supply of hospital beds and home care agencies in Korea; the relationship was the opposite in Japan, however. The country-based differences were more likely to be explained by differences in the distributions of the variables included in the analytical model than country-specific characteristics. Conclusion: Regional-level nursing home supply and use were unequal in both countries, and the contributing factors were not the same. Policy efforts are needed to advance regional equality in long-term care (LTC) and collaboration between health and LTC institutions for frail older people, especially in Korea.

• Journal of Preventive Medicine and Public Health
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• v.52 no.1
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• pp.51-59
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• 2019

Objectives: The purpose of this study was to estimate the mediating effect of subjective unmet healthcare needs on poor health. The mediating effect of unmet needs on health outcomes was estimated. Methods: Cross-sectional research method was used to analyze Korea Health Panel data from 2011 to 2015, investigating the mediating effect for each annual dataset and lagged dependent variables. Results: The magnitude of the effect of low income on poor health and the mediating effect of unmet needs were estimated using age, sex, education level, employment status, healthcare insurance status, disability, and chronic disease as control variables and self-rated health as the dependent variable. The mediating effect of unmet needs due to financial reasons was between 14.7% to 32.9% of the total marginal effect, and 7.2% to 18.7% in lagged model. Conclusions: The fixed-effect logit model demonstrated that the existence of unmet needs raised the likelihood of poor self-rated health. However, only a small proportion of the effects of low income on health was mediated by unmet needs, and the results varied annually. Further studies are necessary to search for ways to explain the varying results in the Korea Health Panel data, as well as to consider a time series analysis of the mediating effect. The results of this study present the clear implication that even though it is crucial to address the unmet needs, but it is not enough to tackle the income related health inequalities.

• Korean Journal of Health Education and Promotion
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• v.30 no.1
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• pp.1-11
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• 2013

Objectives: This study aimed to investigate life stressors and mitigating factors affecting suicide ideation amongst university students in Korea. Methods: Study participants were recruited online from one of the universities in Seoul. The total of 794 samples were included in the final dataset. First, correlation analyses were performed among life stressors, depression and mitigating factors. Second, factorial analysis was conducted to explore different dimensions of he life stressors experienced by the university students. Finally, we used logistic regression to find out the relationship between university students' sub-stressors or mitigating factors, and suicide ideation. Results: Three sub-stressors were identified - interpersonal relationship stress, academic stress and economic stress. All of these stressors were significantly associated with suicide ideation. However, none of them significantly predicted suicide ideation controlling for depression. All mitigating factors - health related behaviors, social support and leisure activities - were statistically significant and negatively related to depression, yet only social support had a significantly negative association with suicide ideation. Conclusions: In conclusion, Social support is the most important factor which may affect suicide ideation among university students in Korea.

• Health Policy and Management
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• v.31 no.2
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• pp.158-172
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• 2021

Background: Metabolic syndrome has been known as a risk of cardiovascular disease. Meanwhile, high sensitivity C-reactive protein (hs-CRP) is used as a predictor of cardiovascular disease. In this paper, we aimed to investigate the association between hs-CRP and metabolic syndrome. Method: A total of 7,633 were chosen as the study population from the 7th Korea National Health and Nutrition Examination Survey dataset (2016-2017). Our dependent variable was whether an individual had metabolic syndrome or not, and the independent variable of interest was hs-CRP which was categorized into three groups. The chi-square tests and hierarchical logistic regression analyses reflecting survey characteristics were conducted. All analyses were stratified by gender. Results: According to the adjusted model with all covariates, compared to individuals having the low risk of hs-CRP, those having its average risk were more likely to have metabolic syndrome in men (odds ratio [OR], 1.41; 95% confidence interval [CI], 1.12-1.76) and women (OR, 1.69; 95% CI, 1.33-2.16). Individuals having the high risk was not significantly different in men; however, they were more likely to have metabolic syndrome in women (OR, 2.03; 95% CI, 1.28-3.23). Conclusion: In an upcoming aging society, it is important to reduce the risk of metabolic syndrome to improve population health. This study suggests that hs-CRP may be used as a marker of the risk of metabolic syndrome in a gender-specific way, thereby contributing to enhancing awareness of the risk of metabolic syndrome among the general public.

• Korean Journal of Ecology and Environment
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• v.53 no.4
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• pp.380-389
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• 2020

Research on diagnosing and predicting the response of ecosystems caused by environmental changes such as artificial disturbance and climate change is emerging as the most important issue of biodiversity and ecosystem researches. This study aims to clean, standardize, and provide the results of National Ecosystem Survey which should be considered fundamentally in diagnosing and predicting ecosystem changes in the form of dataset. To refine and clean the dataset we developed a simple verification program based on the fifth National Ecosystem Survey Guideline and applied that program to the data from the second (1997~2005), third (2006~2013) and fourth (2014~2018) National Ecosystem Survey. Data quality control processes were implemented including (1) standardization of terminology, (2) similar data table integration, (3) unnecessary attribute and error elimination, (4) unification of different input items, (5) data arrangement in codes, and (6) code mapping for input items. These approaches and methods are the first attempt propose an option for ecological data standardization in Korea. The standardized dataset of National Ecosystem Survey in Korea will be easily accessible, reusable for both researchers and public. In addition, we expect it will contribute to the establishment of diverse environmental policies concerning environmental assessments, habitat conservation, prediction of endangered species distribution and ecological risks due to climate change. The dataset through this study is open freely online via EcoBank (nie-ecobank.kr) which is the first ecological information portal system in Korea developed by National Institute of Ecology.

• Journal of the Korean Association of Geographic Information Studies
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• v.17 no.3
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• pp.93-103
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• 2014

Regarding to the cadastral information and building information as a spatial information, studies on linking between cadastral records and building information, or integration methodology on 2D based building map and land information were proposed. Cadastral information has grown its values by cadastral resurvey project and cadastral confirmation survey. There is a tendency of BIM in the design stage which is not just simple 3D dataset and BIM is spreading in public and private sectors. However, studies on the linkage between building information and cadastral information is relatively weak comparing to the BIM spreading. One of the main features that have been improved in IFC4 is the interoperability with GIS. In this regards, the researcher propose several revision methods to link cadastral information to building information. Cadastral information needs to improve the quality of the dataset's such as unifying the different coordinate systems and preparing continuous cadastral map. For buildings, standardization of BIM in the public and private sectors is urgent task. IFC4 and upcoming IFC5 are international standards which need to be considered and BIM reverse engineering for the existing buildings is necessary for the public utilization in the near future.

• Journal of the Korean Society for information Management
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• v.32 no.2
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• pp.63-86
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• 2015

Big data refers to dataset whose size is beyond the ability of typical database software tools to capture, store, manage, and analyze. And now it is considered to create the new opportunity in every industry. The purpose of this study is to develop of big data services in public library for improved library services. To this end, analysed the type of library big data and needs of stockholders through the various methods such as deep interview, focus group interview, questionnaire. At first step, we defined the 16 big data service models from interview with librarians, and LIS professions. Second step, it was considered necessity, timeliness, possibility of development. We developed the final two services called on 'Decision Support Services for Public Librarians' and 'Book Recommendation Services for Users.'

• The Korean Journal of Health Service Management
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• v.8 no.2
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• pp.197-208
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• 2014

This study examined the relationship between social support and depressive symptom among the middle and old-aged people, using dataset of the Korean Longitudinal Study of Ageing(KLoSA 3rd). The subjects were 7,874 persons aged 45 and over. Using this data, social support variables and its relation to depressions was observed based on social network model. A multiple regression model was used to study an association between social support and depressive symptom, controlling for socio-economic characteristics, health status and behavior. Also, this paper run two subgroup regression models based on gender of subjects (male, female), controlling for confounding variables. Authors found that there was lower the number of meetings with friends (1~3 times in a week: b=0.597, p<0.0001; 1~2 times in a month: b=0.609, p<0.0001; 1~6 times in a year or under: b=1.598, p<0.0001) and negative relationship between spouse satisfaction (b=-0.007, p=0.0237), children satisfaction (b=-0.019, p<0.0001) and depressive symptom. Also quantitative effect differences were compared according to gender and its effect on depression. Compared to the male group, female group showed significant difference in quantitative effect with number of meetings with friends and spouse satisfaction, but children satisfaction didn't show clear differences according to gender. This study suggested the importance of social support for promoting mental health among the middle and old-aged people.