• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2020년도 제61차 동계학술대회논문집 28권1호
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• pp.271-272
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• 2020

Data mining is known useful in medical area when no availability of evidence favoring a particular treatment option is found. Huge volume of structured/unstructured data is collected by the healthcare field in order to find unknown information or knowledge for effective diagnosis and clinical decision making. The data of 5,179 records considered for analysis has been collected from Korean National Health and Nutrition Examination Survey(KHANES) during 2-years. Data splitting, referred as the training and test sets, was applied to predict to fit the model. We analyzed to predict chronic kidney disease (CKD) using data mining method such as naive Bayes, logistic regression, CART and artificial neural network(ANN). This result present to select significant features and data mining techniques for the lifestyle factors related CKD.

• 한국치위생학회지
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• 제20권3호
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• pp.291-302
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• 2020

Objectives: This study investigated the relationship between oral health and suicide attempts in adults aged 19 years or older using the 7^th Korea National Health and Examination Survey (KHANES, 2016-2018). Methods: Of the 24,269 participants in the 7^th KHANES (2016-2018), 7,261 adults aged 19 years or older who had an oral health examination were selected. Complex samples crosstabulation (χ²-test) was performed to determine the rate of suicide ideation by general characteristics. Complex samples logistic regression was performed to ascertain the effects of oral health on suicide attempts. Results: Participants with gingivitis were 1.7 times more likely to receive mental health counseling (p<0.05) and 1.6 times more likely to attempt suicide (p<0.05). Conclusions: Oral health is significantly associated with suicide attempts in adults aged 19 years or older, and this emphasizes the importance of oral health management as an intervention for preventing suicide and improving the health of adults.

• 한국치위생학회지
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• 제20권3호
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• pp.335-346
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• 2020

Objectives: This study investigated the association between oral health and suicide attempts in adults aged 65 years or older using the 7^th Korea National Health and Examination Survey (KHANES, 2016-2018). Methods: Of the total 24,269 participants of the 7^th KHANES (2016-2018), 1,488 adults aged 65 years or older who had an oral health examination were selected. Variations in suicide attempts with demographic characteristics and perceived oral health status were analyzed using the χ² test, and the association between oral health and suicide attempts was analyzed using the logistic regression model. Results: The suicide attempt rate was higher among older adults with chewing (p<0.01) and speaking (p<0.05) difficulties. The odds ratio for a suicide attempt was 1.05 times higher among those with tooth loss (p<0.05). Conclusions: Our results showed that older adults with tooth loss had an increased risk of suicide. Thus, it is important to prevent tooth loss, in the first place, through proper oral health management. If tooth loss occurs, appropriate treatment should be prioritized to facilitate functional recovery. Finally, national support is required for older adults with limited access to dental care.

• 한국학교ㆍ지역보건교육학회지
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• 제25권1호
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• pp.29-41
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• 2024

목적: 본 논문에서는 대한민국 성인의 라이프스타일 위험요인과 복합만성질환간의 연관성 규칙을 탐색하여 보건교육프로그램에 필요한 방향성과 기초정보를 제공하는데 목적을 둔다. 방법: 제8기 국민건강영양조사 중 2019년부터 2020년까지 만 19세 이상 성인 7,609명을 대상으로 하였으며, 6개의 라이프스타일 위험요인과 11가지 이환질환에 대하여 R과 R 스튜디오를 이용하여 연관규칙마이닝을 수행하였다. 결과: 본 연구 결과를 통하여 연관규칙마이닝과 같은 데이터마이닝 기법을 통해 생활 습관 위험 요인의 중요성과 여러 만성 질환의 역할을 보여줬다는 점에서 의미가 있다. 결론: 상기 결과를 통하여 신체 활동 부족을 해결하기 위한 운동 프로그램, 부적절한 체중을 해결하기 위한 식이 중재, 부적절한 수면을 해결하기 위한 정신건강 교육프로그램과 같은 선택적이고 집중적인 건강교육 프로그램에 대한 개발의 필요성이 요구된다.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2021년도 제64차 하계학술대회논문집 29권2호
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• pp.699-700
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• 2021

This study investigated patterns of co-occuring chronic diseases and disorders in old ages. For this purpose, we utilized data from the Korean National Health and Nutrition Examination Survey for 3,734 old adults aged over 65. Data on 18 conditions were obtained, and analyzed using network analysis, associated rule mining, cluster analysis. The majority of participants has multimorbidity. Association rules analysis reveals unexpected comorbidities with high lift and confidence. Also, some morbidity clusters were present. Diabetes and emotional disorder had the greatest comorbidity and represent complex comorbid conditions. Old age is characterized by a complex pattern of multimorbidity and comorbidity. In conclusion, particular combinations of morbidities were very prevalent and will be needed to policy of health care interventions for old ages.

• Journal of Nutrition and Health
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• 제44권6호
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• pp.518-526
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• 2011

To determine blood heavy metal concentrations by seafood consumption in Korean adults, blood cadmium, mercury, and lead concentrations in a representative sample of 1,709 Koreans participated in the Fourth Korea National Health and Nutrition Examination Survey (KHANES IV-2) in 2008 were analyzed by age and seafood consumption frequency. The mean blood cadmium, mercury, and lead concentrations were $1.14{\pm}0.73{\mu}g/L$, $5.50{\pm}3.83{\mu}g/L$, and $2.56{\pm}1.22{\mu}g/dL$, respectively. The subjects aged ${\geq}$ 50 years had significantly higher blood cadmium concentrations than the subjects aged 20~39 years. Blood mercury concentrations of the 50's were significantly higher than those of the 20's and 30's (p < 0.05). Approximately, 43% of males and 22% of females had blood mercury concentrations > $5.8{\mu}g/L$ which is a blood mercury level equivalent to the current Reference Dose. Only 2 subjects had lead concentrations > $10{\mu}g/dL$, the standard lead level by the Centers for Disease Control and Prevention, USA. The subjects consuming pollack, mackerel, anchovy, corvina, shellfish, and salted seafood at least once a week had significantly higher mercury concentrations than the subjects consuming those seafoods less than once a month. However, there were no clear relationships between blood cadmium and lead concentrations and seafood consumption frequencies.

• Nutrition Research and Practice
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• 제8권2호
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• pp.192-197
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• 2014

BACKGROUND/OBJECTIVES: The body composition changes in aging increased the risk of metabolic disorder. Recent dietary studies have increasingly focused on the correlations between dietary patterns and chronic diseases to overcome the limitations of traditional single-nutrient studies because nutrients in food have complex relations that interact. SUBJECTS/METHODS: This study was conducted to classify a dietary pattern among Korean elderly using cluster analysis and to explore the relationships between dietary patterns and body composition changes in Korean elderly aged 65 years or older. The study subjects (n=1,435) were individuals who participated in the Korean National Health Examination and Nutrition Survey (KNHANES) in 2011. RESULTS: There were three dietary patterns derived by cluster analysis in this study: 'Traditional Korean' (37.49% of total population), 'Meat and Alcohol' (19.65%) and 'Westernized Korean' (42.86%). The (1) 'Traditional Korean' pattern was characterized by high consumptions of white rice and low protein, low fat, and low milk products, while (2) 'Westernized Korean' pattern ate a Korean-style diet base with various foods such as noodles, bread, eggs and milk, (3) 'Meat and Alcohol' pattern had high consumptions of meat and alcohol. In body composition changes, compared with the 'Traditional Korean' pattern, the 'Meat & alcohol' pattern was associated with a 50% increased risk of having elevated BMI ($kg/m^2$), 'Westernized Korean' pattern was associated with a 74% increased abnormality of ASM/Wt (kg) by logistics analysis. Most of the Korean adult population continues to follow ether a traditional Korean having beneficial effects for successful aging. However, the 'Traditional Korean' pattern showed low protein intake (0.7 g/kg), calcium intake, and vitamin D intake as well as low of appendicular skeletal muscle mass (ASM (kg)) among 3 groups. CONCLUSIONS: Considering the low ASM, consumption of protein, calcium and vitamin D should be increased for Korean elderly health body composition.

• 지역사회간호학회지
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• 제29권1호
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• pp.108-119
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• 2018

Purpose: The purpose of this study is to estimate the prevalence of the metabolic syndrome in pre-menopausal housewives and to explore controllable and uncontrollable factors regarding metabolic syndrome. Methods: The study population of this cross-sectional survey was from the Korean Health and Nutrition Examination Survey (KHANES) 2010 through 2015, including the fifth and sixth population-based studies. The criteria for metabolic syndrome include waist circumference, blood pressure, fasting plasma glucose, triglyceride, high-density lipoprotein (HDL) based on Korean Clinical Practice Guideline for Metabolic Syndrome by the Korean Academy of Family Medicine 2015. Results: Among the 2,498 subjects, 247 subjects had metabolic syndrome and the prevalence was estimated to be 9.9%. The number of subjects who met the criterion of HDL was 936 (36.2%), which was the most prevalent among the criteria for metabolic syndrome. Statistically significant (p<.05) factors include age, livinghood benefit group, perceived health status, obesity, family history of DM, sleeping time, awareness of stress,leukocyte, and erythrocyte count. The odds ratio of obesity in the BMI ${\geq}25$ group was 12.59 times as high as that of the BMI <25 group (p<.001) for metabolic syndrome. Conclusion: The prevalence of metabolic syndrome in pre-menopausal housewives in the survey was not low, and it is necessary to develop and apply comprehensive health habit management programs to improve controllable factors including exercise and food intake.

• Journal of Korean Biological Nursing Science
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• 제20권2호
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• pp.67-75
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• 2018

Purpose: The aim of this study was to explore the prevalence of major chronic diseases related to daily oral water intake and to identify the physiological parameters related to dehydration in Korean elderly. Methods: The data were collected from the sixth Korea Health and Nutrition Examination Survey (KHANES), which was a nationwide and cross-sectional survey in 2015. We analyzed 1,392 participants using t-test and logistic regression. All participants were divided into the adequate water intake (AWI) group and the non-adequate water intake (NAWI) group based on the dietary reference intakes for Koreans. Results: There was a significant difference in the water intake between the AWI (6.8 cups in a day) and NAWI (2.8 cups) groups (p< .001). There was no statistically significant association between the level of water intake and any of the major chronic diseases. Blood urea nitrogen (BUN) and BUN/Creatinine (Cr) ratio were significantly higher in the NAWI group. Especially, BUN/Cr ratio shows that the NAWI group reached dehydration status. Older age (adjusted odd ratio, OR= 1.07, 95% confidence interval, CI [1.04-1.10]), female gender (adjusted OR= 1.56, 95% CI [1.05-2.33]), lower body mass index (BMI) (adjusted OR = 1.00, 95% CI [0.92-1.00]), higher BUN (adjusted OR = 1.04, 95% CI [1.01-1.08]), and higher urine specific gravity (USG) (adjusted OR= 1.56, 95% CI [1.19-2.05]) were factors associated with the NAWI group. Conclusion: The findings suggest that the level of water intake needs to be considered in relation to age, gender, BMI, BUN, and USG. These are sensitive physiological parameters used for predicting dehydration of the elderly according to their daily oral water intake. It would be helpful to develop strategies to prevent dehydration in elderly individuals and enhance their water intake.

• 대한지역사회영양학회지
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• 제14권6호
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• pp.722-733
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• 2009

The purpose of this study was to explore dietary patterns and compare dietary patterns using cluster and factor analysis in Korean adults. This study analyzed data of 4,182 adult populations who aged 30 and more and had all of socio-demographic, anthropometric, and dietary data from 2005 Korean Health and Nutrition Examination Survey. Socio-demographic data was assessed by questionnaire and dietary data from 24-hour recall method was used. For cluster analysis, the percent of energy intake from each food group was used and 4 patterns were identified: "traditional", "bread, fruit & vegetable, milk", "noodle & egg", and "meat, fish, alcohol". The "traditional" pattern group was more likely to be old, less educated, living in a rural area and had higher percentage of energy intake from carbohydrates than other pattern groups. "Meat, fish, alcohol" group was more likely to be male and higher percentage of energy intake from fat. For factor analysis, mean amount of each food group was used and also 4 patterns were identified; "traditional", "modified", "bread, fruit, milk", and "noodle, egg, mushroom". People who showed higher factor score of "traditional" pattern were more likely to be elderly, less educated, and living in a rural area and higher proportion of energy intake from carbohydrates. In conclusion, three dietary patterns defined by cluster and factor analysis separately were similar and all dietary patterns were affected by socio-demographic factors and nutrient profile.