• Journal of Convergence for Information Technology
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• v.9 no.8
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• pp.248-253
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• 2019

Early diagnosis of mild cognitive impairment (MCI) can reduce the incidence of dementia. This study developed the MCI prediction model for the elderly in Korea. The subjects of this study were 3,240 elderly (1,502 men, 1,738 women) aged 65 and over who participated in the Korean Longitudinal Survey of Aging (KLoSA) in 2012. Outcome variables were defined as MCI prevalence. Explanatory variables were age, marital status, education level, income level, smoking, drinking, regular exercise more than once a week, average participation time of social activities, subjective health, hypertension, diabetes Respectively. The prediction model was developed using Restricted Boltzmann Machine (RBM) neural network. As a result, age, sex, final education, subjective health, marital status, income level, smoking, drinking, regular exercise were significant predictors of MCI prediction model of rural elderly people in Korea using RBM neural network. Based on these results, it is required to develop a customized dementia prevention program considering the characteristics of high risk group of MCI.

• Journal of the Korea Convergence Society
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• v.13 no.3
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• pp.113-124
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• 2022

This study was conducted to analyze the relationship between the levels of lead (Pb) exposure and cardiovascular disease (CVD) in Korean adult women. We used cross-sectional data on blood lead and self-reported diagnoses of ischemic heart disease (IHD), stroke and hypertension in a subsample of 1.821 adults 19 years and older who participated in the 2017 Korea National Health and Nutrition Examination Survey (KNHANES). CVD and blood Pb concentrations were analyzed through logistic regression analysis, and correlations between factors were confirmed using the pearson correlation coefficient. An increase of blood Pb was associated with an increased risk of IHD (OR 5.68, 95% CI 1.01-17.51) and hypertension (OR 3.37, 95% CI 2.24-5.07) only in women. Additionally, there was a correlation between blood Pb and nutrient intake. This suggest that blood Pb levels may be used as a key predictor of CVD development, and that women are more susceptable to IHD and hypertension associated with Pb exposure.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.649-659
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• 2023

Smart work, which utilizes ICT technology to work without time and space constraints, has been difficult to introduce and spread despite a lot of research and investment based on the 'smart work vitalization strategy' that began in 2010. Although the environment of COVID-19 in 2019 was an opportunity to promote the adoption of smart work. After that, many companies ended or reduced the adoption of smart work again. This study was initiated to examine the factors that resist the introduction of smart work based on the innovation resistance model and to suggest alternatives. As a result of this study, relative advantage showed a strong effect on both introduction resistance and introduction intention. However, it was confirmed that perceived risk and complexity did not directly negatively affect introduction intentions, but had a negative effect on introduction intentions through mediating resistance to introduction. Through the results of this study, it was confirmed that if the practical benefits of smart work were emphasized and negative attitudes were reduced, the resistance to introduction would be lowered and the intention to introduce it would be positively affected.

• Journal of the Korean Society of Radiology
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• v.83 no.4
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• pp.931-937
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• 2022

Chronic inflammatory condition associated with metallic implant insertion is a risk factor for diffuse large B-cell lymphoma (DLBCL). Metal ions play a role in the pathogenesis of lymphoma. We report a rare case of DLBCL in a patient who had a metallic implant in the proximal tibia for 15 months. Radiologic studies, including US and MRI, showed disproportionately large extraosseous soft-tissue mass and bone marrow involvement without prominent bone destruction. Multiple complications are associated with metallic implants, and misdiagnosis may lead to inappropriate treatment. Therefore, distinguishing lymphomas caused by a metallic implant-induced chronic inflammatory condition from other periprosthetic benign lesions and malignant soft tissue masses is challenging, but it is critical.

• Journal of Life Science
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• v.22 no.2
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• pp.148-155
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• 2012

A cross-sectional analysis of blood pressure (BP) changes and the current prevalence and distribution of hypertension among age groups in Korea were conducted. Systolic (SBP), diastolic (DBP), and pulse (PP) pressures were evaluated. Residents visiting a local Community Health Center for a health check-up and/or participating in the Health Promotion Program were included for the analyses. A total of 6,570 subjects (2,809 men, 3,761 women) were divided into five age groups: 30-39, 40-49, 50-59, 60-69, and $70\leq$ years. Comparisons were made between sex and among age groups. SBP and DBP were continuously elevated, while men showed higher levels than women until their mid-60s; then, the trend was reversed. DBP in men became elevated from their 30s, reaching the highest in the 40s then slowly decreasing. DBP in women increased up to their 40s and 50s, then reached a plateau. PP increased rapidly from the 50s in both sexes. The major contributor of age-related BP elevation may be large artery stiffness in men, particularly from their 50s, while the blood pressure elevation of women may relate to diverse factors including large artery stiffness, stroke volume, and ventricular ejection rate. The rapid elevation of PP after the 50s in both men and women could represent a risk of cardiovascular or coronary mortality, particularly with increasing age. The current data showed a higher rate of hypertension in both sexes compared to previous reports. When those with both high-normal BP and hypertension are looked at in combination, BP management of the target population should be drastically elevated.

• The Korean Journal of Applied Statistics
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• v.21 no.1
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• pp.81-94
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• 2008

Family-based tests such as the transmission and disequilibrium tests(TDT) have proved to be powerful tools in the search for disease genes. Unlike case-control studies, the tests are not affected by population admixture, which can lead to spurious association of multiple highly linked makers with disease-susceptible genes. Those tests have largely required knowledge of parental marker genotypes. However, parental data are often not available for late-onset diseases. In this article we propose sib-TDTs that overcome this problem by use of marker data from unaffected sib(s) instead of parents. To do this end, we fist defined a Mantel-Haenszel-type statistic for each haplotype and then proposed two tests based on this statistic. Simulation studies suggest that the proposed tests are robust to population admixture and are monotone increasing as a relative risk increases irrespective of mode of inheritance. We also illustrated the proposed tests with data adopted from Yonsei Cardiovascular Genome Center.

• The Korean Journal of Applied Statistics
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• v.22 no.4
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• pp.771-780
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• 2009

Cataract is the main cause of blindness and visual impairment, especially, age-related cataract accounts for about half of the 32 million cases of blindness worldwide. As the life expectancy and the expansion of the elderly population are increasing, the cases of cataract increase as well, which causes a serious economic and social problem throughout the country. However, the incidence of cataract can be reduced dramatically through early diagnosis and prevention. In this study, we developed a prediction model of cataracts for early diagnosis using hospital data of 3,237 subjects who received the screening test first and then later visited medical center for cataract check-ups cataract between 1994 and 2005. To develop the prediction model, we used random forests and compared the predictive performance of this model with other common discriminant models such as logistic regression, discriminant model, decision tree, naive Bayes, and two popular ensemble model, bagging and arcing. The accuracy of random forests was 67.16%, sensitivity was 72.28%, and main factors included in this model were age, diabetes, WBC, platelet, triglyceride, BMI and so on. The results showed that it could predict about 70% of cataract existence by screening test without any information from direct eye examination by ophthalmologist. We expect that our model may contribute to diagnose cataract and help preventing cataract in early stages.

• Korean Journal of Clinical Laboratory Science
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• v.48 no.4
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• pp.388-393
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• 2016

Epilepsy, characterized by enduring the predisposition to generate epileptic seizures, was conceptually defined in 2005 as a disorder of the brain. According to the international league against epilepsy in 2014 that there is a high risk of recurrence within 10 years. The existence of interictal epileptiform discharges (IEDs) at the Electroencephalography (EEG) is an important risk factor for a possible recurrence of seizures, disproving that the seizures may increase. The purpose of this study was to analyze the correlation between recurrent seizures and epilepsy EEG findings in patients with IEDs, which was carried out to serve as the basis for the EEG to predict the prognosis of patients with epilepsy. This study included 432 adults older than 20 years of age who care for patients with epilepsy at Seoul National University Hospital, between June 2007 and December 2010. The results showed no difference between men and women in the EEG epilepsy disease, but there was a difference between various age groups. Correlation analysis showed a negative correlation between recurrence of seizures and age; it showed a positive correlation between recurrence and IEDs. In addition, age was associated with a predictive power of 10.9% and IEDs showed a predictive power of 15% on recurrent seizures. Therefore, EEG is considered as a very important test in epilepsy diagnosis. Therefore, further studies are necessary on the relationship between seizure recurrence and EEG.

• Anxiety and mood
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• v.7 no.2
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• pp.85-91
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• 2011

Objective : This study aimed to investigate the characteristics of the early maladaptive schemas in patients with panic disorder. Methods : Patients (n=35) included people who had met the DSM-IV-TR criteria for panic disorder. The normal control group (n=35) were those people who had no psychiatric disorder and had never experienced panic attack. The early maladaptive schemas and the severity of depression and anxiety were assessed by the Young Schema Questionnaire Short-form (YSQ-SF), the Beck Depression Inventory (BDI), and the Spielberger State-Trait Anxiety Inventory (STAI). Results : The scores on the STAI-S, STAI-T, and BDI were significantly higher in the patient group. Compared to the control group, the scores of vulnerability to harm and illness, and abandonment/instability schemas were significantly higher in the patient group. In the patient group, defectiveness/shame and subjugation schemas were found to predict BDI, dependent/incompetence, abandonment/instability schemas were found to predict STAI-S, and vulnerability to harm and illness, and abandonment/instability schemas were found to predict STAI-T. In normal controls, failure and insufficient self-control/self-discipline, failure, and emotion inhibition schemas were found to predict BDI, STAI-T, and STAI-S. Conclusions : Vulnerability to harm and illness and abandonment/instability schemas may be characteristic schema in patients with panic disorder.

• Journal of the Korean Society of Food Science and Nutrition
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• v.43 no.5
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• pp.763-771
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• 2014

The objective of this study was to assess the relationship between dietary sodium intake and prevalence of abdominal obesity in Korean adults. We used data from the Korea National Health and Nutrition Examination Survey V-1 and analyzed data on 4,475 Koreans (${\geq}30$ years old). Subjects were divided into three groups according to fasting plasma glucose (FPG): 1) normal (FPG <100 mg/dL), 2) pre-diabetes ($100mg/dL{\leq}FPG{\leq}125mg/dL$), and 3) diabetes (FPG ${\geq}126mg/dL$ or subjects diagnosed with diabetes). The subjects in each category were stratified by dietary sodium intake as well as index of abdominal obesity. We found that dietary sodium intake was positively correlated with waist circumference (WC) (P=0.002) and was particularly high in the pre-diabetes group. In multiple logistic regression analysis, the normal and diabetes groups showed no association between dietary sodium intake and WC, whereas the pre-diabetes group with a high sodium intake exhibited a significant association (odds ratio (OR)=1.479, P=0.029) between dietary sodium intake and WC. Further, the OR for abdominal obesity in the high sodium intake group with pre-diabetes was 1.590 after adjusting for age and sex (P=0.012). In addition, the ORs for the prevalence of abdominal obesity with fasting glucose, fasting insulin, and homeostasis model assessment of insulin resistance were significantly higher in the pre-diabetes group with high sodium intake compared with low sodium intake. Moreover, these associations were significant even after adjusting for confounding variables (model 2: age and sex; model 3: age, sex, and total energy intake). Our results suggest a strong association between sodium intake and abdominal obesity in pre-diabetes Korean adults.