• The Korean journal of internal medicine
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• v.39 no.4
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• pp.625-639
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• 2024

Background/Aims: Intensive care unit (ICU) quality is largely determined by the mortality rate. Therefore, we aimed to develop and validate a novel prognostic model for predicting mortality in Korean ICUs, using national insurance claims data. Methods: Data were obtained from the health insurance claims database maintained by the Health Insurance Review and Assessment Service of South Korea. From patients who underwent the third ICU adequacy evaluation, 42,489 cases were enrolled and randomly divided into the derivation and validation cohorts. Using the models derived from the derivation cohort, we analyzed whether they accurately predicted death in the validation cohort. The models were verified using data from one general and two tertiary hospitals. Results: Two severity correction models were created from the derivation cohort data, by applying variables selected through statistical analysis, through clinical consensus, and from performing multiple logistic regression analysis. Model 1 included six categorical variables (age, sex, Charlson comorbidity index, ventilator use, hemodialysis or continuous renal replacement therapy, and vasopressor use). Model 2 additionally included presence/absence of ICU specialists and nursing grades. In external validation, the performance of models 1 and 2 for predicting in-hospital and ICU mortality was not inferior to that of pre-existing scoring systems. Conclusions: The novel and simple models could predict in-hospital and ICU mortality and were not inferior compared to the pre-existing scoring systems.

• 대한예방의학회:학술대회논문집
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• 2005.10a
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• pp.399-399
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• 2005

• 대한예방의학회:학술대회논문집
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• 2002.10a
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• pp.544-545
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• 2002

• 대한예방의학회:학술대회논문집
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• 1998.10b
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• pp.72-73
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• 1998

• Communications for Statistical Applications and Methods
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• v.29 no.6
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• pp.655-664
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• 2022

On the motivation by an integrative study of multi-omics data, we are interested in estimating the structure of the sparse cross correlation matrix of two high-dimensional random vectors. We rewrite the problem as a multiple testing problem and propose a new method to estimate the sparse structure of the cross correlation matrix. To do so, we test the correlation coefficients simultaneously and threshold the correlation coefficients by controlling FRD at a predetermined level α. Further, we apply the proposed method and an alternative adaptive thresholding procedure by Cai and Liu (2016) to the integrative analysis of the protein expression data (X) and the mRNA expression data (Y) in TCGA breast cancer cohort. By varying the FDR level α, we show that the new procedure is consistently more efficient in estimating the sparse structure of cross correlation matrix than the alternative one.

• 대한예방의학회:학술대회논문집
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• 2002.10a
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• pp.194-194
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• 2002

• Environmental Analysis Health and Toxicology
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• v.29
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• pp.12.1-12.8
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• 2014

Objectives Cohort studies of associations between air pollution and health have used exposure prediction approaches to estimate individual-level concentrations. A common prediction method used in Korean cohort studies is ordinary kriging. In this study, performance of ordinary kriging models for long-term particulate matter less than or equal to $10{\mu}m$ in diameter ($PM_{10}$) concentrations in seven major Korean cities was investigated with a focus on spatial prediction ability. Methods We obtained hourly $PM_{10}$ data for 2010 at 226 urban-ambient monitoring sites in South Korea and computed annual average $PM_{10}$ concentrations at each site. Given the annual averages, we developed ordinary kriging prediction models for each of the seven major cities and for the entire country by using an exponential covariance reference model and a maximum likelihood estimation method. For model evaluation, cross-validation was performed and mean square error and R-squared ($R^2$) statistics were computed. Results Mean annual average $PM_{10}$ concentrations in the seven major cities ranged between 45.5 and $66.0{\mu}g/m^3$ (standard deviation=2.40 and $9.51{\mu}g/m^3$, respectively). Cross-validated $R^2$ values in Seoul and Busan were 0.31 and 0.23, respectively, whereas the other five cities had $R^2$ values of zero. The national model produced a higher cross-validated $R^2$ (0.36) than those for the city-specific models. Conclusions In general, the ordinary kriging models performed poorly for the seven major cities and the entire country of South Korea, but the model performance was better in the national model. To improve model performance, future studies should examine different prediction approaches that incorporate $PM_{10}$ source characteristics.

• Nutrition Research and Practice
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• v.11 no.1
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• pp.70-75
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• 2017

BACKGROUND: Immigration to South Korea from neighboring Asian countries has risen dramatically, primarily due to marriage between Korean men and foreign women. Although Filipino women rank fourth among married immigrant women, little is known about the health condition of this population. This manuscript focuses on the design and methods of Filipino women's diet and health study (FiLWHEL). SUBJECTS/METHODS: FiLWHEL is a cohort of Filipino women married to Korean men, aged 19 years old or over. The data collection comprised three parts: questionnaire, physical examination, and biospecimen collection. Questionnaires focused on demographic factors, diet, other health-related behaviors, acculturation and immigration-related factors, medical history, quality of life, and children's health information. Participants visited the recruitment site and answered the structured questionnaires through a face-to-face interview. We also measured their anthropometric features and collected fasting blood samples, toenails, and DNA samples. Recruitment started in 2014. RESULTS/CONCLUSIONS: Collection of data is ongoing, and we plan to prospectively follow our cohort participants. We expect that our study, which is focused on married Filipino women immigrants, can elucidate nutritional/health status and the effects of transitional experiences from several lifestyle factors.

• Journal of the Economic Geographical Society of Korea
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• v.21 no.1
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• pp.1-19
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• 2018

This study aims to analyze the regional patterns of user-provider in medical services for spatial improvement of national health care delivery system in south Korea. By using the National Health Insurance Service National Sample Cohort DB, the characteristics and changes in the medical service cases served outside of residing regions are found. In 2013 the rate of the cases served outside of residing regions was declined slightly and users of medical institutions outside of their residing area tended to have high income level relatively and to visit hospitals than clinics. And departments visited have changed from 2002.

• Research in Community and Public Health Nursing
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• v.18 no.4
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• pp.513-522
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• 2007

Purpose: The purpose of this study was to gain knowledge of successful aging for the Korean elderly and to identify the effects of an intervention program on the change of the knowledge Method: Data were collected from 134 elders from 3 schools for the elderly in H City. The Successful Aging Scale was used to collect data and modified CDSMP was applied as the intervention. Descriptive statistics, t-test, ANOVA and ANCOVA were used. Results : The total score of the knowledge of successful aging among the elderly cohort was 2.44 out of 3, and the scores of the factors making up old age were 2.66 for the success of children, 2.63 for self-control, 2.56 for self-efficacy, and 2.05 for happy marriage. Life satisfaction from the success of children and self-control were strongly correlated(r=0.7036, p=0.000). Conclusion: The self-management program brought positive changes to the knowledge of successful aging through the self-control parameter, and although it could not change the degree of knowledge of the overall successful aging among the elderly cohort, the program represents the first Korean nursing intervention focused on self-management techniques needed for successful aging.