• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.5
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• pp.3243-3256
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• 2015

The purpose of this study was to obtain the relationship between life styles and obesity indices, and to investigate the influence of life styles on obesity indices among adults who examined health checkup in an university hospital. The subjects for this study were 4,112 adults who underwent medical examinations at a health center of a university hospital in Daejeon city from Jan 2012 to Dec 2013. We surveyed the life styles and obesity indices of study subjects from self-recorded questionnaires and medical examination charts after confirmed IRB of the hospital. As a results, the levels of obesity indices of subjects was closely correlated with increasing age, and life styles as alcohol drinking, smoking, regular exercise, overeating, meat consumption. The influence of life styles on obesity indices was incident in female than in male. And the main risk factors were regular exercise factor in obesity indices in both sex.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.6
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• pp.768-773
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• 2012

One of the main reasons for serious road accidents is driving while drowsy. For this reason, drowsiness detection and warning system for drivers has recently become a very important issue. Monitoring physiological signals provides the possibility of detecting features of drowsiness and fatigue of drivers. One of the effective signals is to measure electroencephalogram (EEG) signals and electrooculogram (EOG) signals. The aim of this study is to extract drowsiness-related features from a set of EEG signals and to classify the features into three states: alertness, drowsiness, sleepiness. This paper proposes a drowsiness detection system using Linear Predictive Coding (LPC) coefficients and Support Vector Machine (SVM). Samples of EEG data from each predefined state were used to train the SVM program by using the proposed feature extraction algorithms. The trained SVM program was tested on unclassified EEG data and subsequently reviewed according to manual classification. The classification rate of the proposed system is over 96.5% for only very small number of samples (250ms, 64 samples). Therefore, it can be applied to real driving incident situation that can occur for a split second.

• 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.10 no.10
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• pp.81-89
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• 2019

A total of 5,597 Korean subjects aged 20-64 years were analyzed using the KNHANES 2013-2015. Among the subjects, 41.1% of males and 5.5% of females were smokers, and risk of developing metabolic syndrome in smokers was significantly increased in men with age, alcohol, physical activity, obesity, and sleep(aOR 1.785, 95% CI 1.004-3.174), whereas it was not significantly higher in women. As a result of analyzing the difference of average nutrient intake according to smoking and metabolic syndrome, the energy, retinol and vitamin C intake were significant when age and gender were corrected in the smoker and metabolic syndrome group. In this study, we found that smoking behavior and metabolic syndrome were related to nutrient intake which requires a national level of lifestyle intervention for the prevention and management of metabolic syndrome.

• Korean Journal of Culture and Social Issue
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• v.13 no.4
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• pp.101-112
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• 2007

We investigated the influences of 'Circumstance Insensibility', 'Unsafe Driving', 'Incautious Driving', and 'Self-efficacy of Driving', consisting of driving confidence level, on traffic accidents. 1055 drivers conducted Driving Confidence Level Questionnaire, items about their dangerous driving experience and traffic accidents. Among them, after checking the missing items, we analyzed data of 998 drivers. As a result, we found the relation between driving confidence levels and traffic accidents. Specially, 'Circumstance Insensibility' and 'Unsafe Driving' influenced traffic accidents. However 'Circumstance Insensibility' had negative effects, the other side 'Unsafe Driving' had positive effects on traffic accidents. This result means each factor of driving confidence levels have different relation with traffic accidents. 'Incautious Driving' and 'Self-efficacy of Driving' didn't have any effects on traffic accidents in this research. In future, it should be investigated 'Incautious Driving' and 'Self-efficacy of Driving'.

• Tuberculosis and Respiratory Diseases
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• v.58 no.5
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• pp.490-497
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• 2005

Background : The paraoxonase enzyme plays a significant role in the detoxification of various organophosphorous compounds in mammals, and paraoxonase (PON) 1 is one of the endogenous free-radical scavenging systems in the human body. In this study, we investigated the interaction between cigarette smoking and the genetic polymorphism of PON1 with lung cancer in Korean males. Methods : Three hundred thirty five patients with lung cancer and an equal number of age-matched controls were enrolled in this study. Every subject was asked to complete a questionnaire concerning their smoking habits and alcohol drinking habits. A 5' exonuclease assay (TaqMan) was used to genotype the PON1 Q192R polymorphism. The effects of smoking habits and drinking habits, the PON1 Q192R polymorphism and their interactions were statistically analyzed. Results : Cigarette smoking and the Q/Q genotype of PON1 were significant risk factors for lung cancer. Individuals carrying the Q/Q genotype of PON1 were at a higher risk for lung cancer as compared with those individuals carrying the Q/R or R/R genotype (odds ratio, 2.84; 95% confidence interval, 1.69 - 4.79). When the groups were further stratified by the smoking status, the Q/Q PON1 was associated with lung cancer among the current or ex-smokers (odds ratio, 2.56; 95% confidence interval, 1.52 - 4.31). Current smokers or ex-smokers who had the Q/Q genotype showed an elevated risk for lung cancer (odds ratio: 15.50, 95% confidence interval: 6.76 - 35.54) as compared with the group of subjects who never smoked, and had the Q/R or R/R genotype. The odds ratios (95% confidence interval) of smokers with the PON1 Q/Q type compared to the nonsmokers with the PON1 Q/R or R/R type were 53.77 (6.55 - 441.14) for squamous cell carcinoma, 6.25 (1.38 - 28.32) for adenocarcinoma, and 59.94 (4.66 - 770.39) for small cell carcinoma, and these results were statistically significant. Conclusion : These results suggest that cigarette smoking and the PON1 Q/Q genotype are risk factors for lung cancer. The combination of cigarette smoking and the PON1 Q/Q genotype significantly increased the lung cancer risk irrespective of the histologic type of cancer.

• Journal of Preventive Medicine and Public Health
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• v.31 no.2 s.61
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• pp.275-284
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• 1998

Activities of enzymes involved in the metabolism of various carcinogenic xenobiotics is one of the most important host factors for cancer occurrence. N-acetyltransferase (NAT) and glutathione S-transferases (GST) are enzymes which .educe the toxicity of activated carcinogenic metabolites. Slow N-acetylation and lack of GST mu (GSTMI) were reported as risk factors of bladder cancer. GST theta (GSTT1), which is another type of GST, was reported to be deleted at higher proportion among Koreans. Since cause of bladder cancer is not fully explained by single risk factor, many kinds of enzymes would be involved in the metabolism of carcinogens excreted in urine. This study was performed to investigate whether the polymorphisms of NAT2, GSTM1 and GSTT1 are risk factors of bladder cancer and to evaluate the effects of their interaction on bladder cancer development. Sixty-seven bladder cancer and 67 age- and sex-matched non-cancer patients hospitalized in Chungbuk National University Hospital from March to December 1996, are the subjects of this case-control study. Questionnaire interview was done and the genotypes of NAT2, GSTM1 and GSTT1 were identified using PCR methods with DNA extracted from venous blood. The effects of the polymorphism of NAT2 and GSTM1 and their interaction on bladder cancer were statistically tested after controlling the other risk factors. The frequencies of slow, intermediate, and rapid acetylators were 3.0%, 38.8%, and 58.2% to. the cases, and 7.6%, 40.9%, and 51.5% for the controls, respectively. The risk of bladder cancer was not associated with the increase of NAT2 activity($\chi^2_{trend}=1.18$, P-value>0.05). GSTM1 was deleted in 68.7% of the cases and 49.3% of the controls ($\chi^2=5.21$, P-value<0.05), and the odds ratio (95% CI) was 2.23 (1.12 - 4.56). GSTT1 deletion, the .ate of which were 26.9% for the bladder cancer patients and 43.3% for the controls, was a significant protective factor against bladder cancer. Smoking history turned out to be insignificant as a risk factor of bladder cancer (OR=1.85, 95% CI: 0.85 - 4.03), and occupation could not be tested because of the extremely small number of occupational history related to the increase of bladder cancer. In multiple logistic analysis controlling the effects of other risk factors, GSTM1 deletion was the only significant risk factor for bladder cancer (OR: 2.56, 95% CI: 1.22-5.36, P-value<0.05), but slow acetylation and GSTT1 deletion were not. These results suggest that GSTM1 deletion may be a significant risk factor of bladder cancer. Since there have been much debates on causal relationship between slow acetylation and GSTT1 deletion, and bladder cancer, further studies are needed.

• Nuclear Medicine and Molecular Imaging
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• v.40 no.5
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• pp.243-248
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• 2006

Purpose: Liver demonstrates heterogeneous FDG uptake and sometimes it shows abnormally increased uptake even though there is no malignant tissue. However, there was no previous study to correlate these various pattern of hepatic FDG uptake with benign liver disease. Therefore, we evaluated the significance of hepatic FDG uptake associated with various clinical factors including fatty liver, liver function tests and lipid profiles. Materials and Methods: We reviewed a total of 188 patients (male/female: 120/68, mean age: $50{\pm}9$) who underwent PET/CT for screening of malignancy. Patients with DM, impaired glucose tolerance, previous severe hepatic disease or long-term medication history were excluded. The FDG uptake in liver was analyzed semi-quantitatively using ROI on transaxial images (segment 8) and we compared mean standardized uptake value (SUV) between fatty liver and non-fatty liver group. We also evaluated the correlation between hepatic FDG uptake and various clinical factors including serum liver function test (ALT, AST), ${\gamma}-GT$, total cholesterol and triglyceride concentration. The effect of alcoholic history and body mass index on hepatic FDG uptake was analyzed within the fatty liver patients. Results: The hepatic FDG uptake of fatty liver group was significantly higher than that of non-fatty liver group. Serum total cholesterol and triglyceride concentration showed significant correlation with hepatic FDG uptake. However, there was no significant correlation between other factors (ALT, AST, and ${\gamma}-GT$) and FDG uptake. Also there was no difference of mean SUV between normal and abnormal groups on the basis of alcoholic history and body mass Index within fatty liver patients. Fatty liver and high serum triglyceride concentration were the independent factors affecting hepatic FDG uptake according to multivariate analysis. Conclusion: In conclusion, hepatic FDG uptake was strongly correlated with fatty liver and serum triglyceride concentration.

• Korean Journal of Psychosomatic Medicine
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• v.20 no.1
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• pp.22-31
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• 2012

Objectives : We investigated the prevalence and functional impairment of premenstrual dysphoric disorder (PMDD) and premenstrual syndrome(PMS) in young women. Methods : A total of 1063 female college students were recruited from two urban areas(Seoul and Suwon) of Korea. Questionnaires for sociodemographic data and risk factors of PMDD, attitude about menstruation, and the Premenstrual Symptoms Screening Tool(PSST) were applied. Results : The prevalence of severe moderate to severe PMS and PMDD were 16.9% and 11.7%, respectively. There were differences in the alcohol and coffee consumption, severity of menstrual cramp, and family history of PMS among the moderate to severe PMS, PMDD, and no/mild PMS groups. Although some participants did not fulfill diagnostic criteria for PMDD, they showed significant functional impairment. Participants with negative attitude about menstruation reported premenstrual symptoms more frequently than those with positive or ambivalent attitude about menstruation. Conclusion : These results suggest that PMS and PMDD were prevalent and associated with functional impairment in young females. Some participants reported significant functional impairments although they did not meet the full DSM-IV diagnostic criteria for PMDD. Negative attitude about menstruation was associated with more premenstrual symptoms experiences.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.3
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• pp.529-536
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• 2020

This study aims to provide the basic data for coffee intake and health promotion by examining the conditions in which Korean adults consume the most coffee. The study used raw data from the second year of the 7th National Health and Nutrition Examination Survey (2017), and 3,325 subjects who were 19 years of age or older and who were not missing the required values. This number used as the average amount of coffee drank per day in the past year is at least one cup. In order to identify factors that affect coffee intake, the model included general characteristics such as gender, age, household income, education level, occupation, health behaviors such as smoking, drinking, high intensity and moderate intensity exercises, walking, physical activity during work and leisure, sleep time, stress and depression. The results showed that coffee intake was lower among women than men, coffee intake was higher for people 40-64 years than people 20-39 years old, physical occupations rather than non-physical occupations, smokers rather than non-smokers, and for high stress rather than low stress in life. Subjects with these factors are considered to be at risk of excessive caffeine intake from coffee. The risk group of this study should be studied for the effect of excessive consumption of coffee on personal health.