• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.8
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• pp.449-455
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• 2018

This study was conducted to analyze the correlation between changes in white matter and homocysteine concentration through brain computed tomography of healthy 50-75 year old subjects without stroke or dementia history. We studied 722 out of 900 patients who underwent health screening at one hospital from 2016 to 2017. Based on the medical records, retrospective studies were conducted and analyzed using SPSS. A chi-square test, T-test and univariate logistic regression analysis were used for analysis. After the subjects were divided into the group with and without white matter changes, the population characteristics were analyzed. The mean age, homocysteine concentration and prevalence of hypertension and diabetes were higher and the duration of education was shorter in the group with white matter changes. In the group with white matter changes, the population increased as homocysteine concentration increased. When the odds ratio was compared based on the lowest group (Q1), age [p<0.001], hypertension [p<0.001] and hyperhomocysteinemia [p=0.021] were risk factors for white matter changes. We also identified modifiable risk factors such as hypertension and hyperhomocysteinemia to prevent complications of white matter changes. However, there has been no report of risk for the each causes of hyperhomocysteinemia and relationship between white matter changes and homocysteine concentration in Koreans. Therefore, large scale prospective studies are needed to better understand this topic.

• Journal of the Korean Data and Information Science Society
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• v.24 no.4
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• pp.867-876
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• 2013

Metabolic syndrome has been known as a major factor of cardiovascular disease. Several metabolic disorders, particularly chronic disease is complex, and from individuals that appear in our country, the prevalence of the metabolic syndrome is increasing gradually. Therefore, this study, using a multi-factor dimensionality reduction method, checks the major single risk factor of metabolic syndrome and suggests a new diagnosis results of metabolic syndrome. Data of 3990 adults who responded to all the questionnaires of health interview are used from the database of the 5th Korea national health and nutrition examination survey conducted in 2010. As the result, the most dangerous single risk factor for metabolic syndrome was waist circumference and the most dangerous combination factors were waist circumference, triglyceride, and hypertension. This is the result of a new diagnosis of the metabolic syndrome. Especially, waist circumference, low HDL-cholesterol and hypertension were the most dangerous combination for male. In particular, the combination of waist circumference, triglyceride and diabetes was dangerous for obese people.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.6
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• pp.2570-2578
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• 2012

We investigated whether coffee and green tea consumption reduced the risk of elevated alanine aminotransferase(ALT)/aspartate aminotransferase(AST) activity and the prevalence of metabolic syndrome. Participants were 5,283 adults, aged 19-79 years, in the Third Korean National Health and Nutrition Examination Survey, with excessive alcohol consumption, overweight, viral hepatitis, metabolic syndrome. Increased coffee and green tea consumption was not associated with decreased serum ALT. However, amount of coffee consumption had negative correlation with serum AST activity. Moreover, coffee consumption reduced the prevalence of metabolic syndrome (p for trend <0.001). Hypertension, impaired glucose metabolism and dyslipidemia was involved as subgroup of metabolic syndrome. Comparing persons who drank more than 2 cups per day with less than 1 cup per day, the prevalence of all subgroups was declined significantly. In this large, national, population-based study, consumption of coffee was associated with lower the risk of metabolic syndrome.

• The Korean Journal of Applied Statistics
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• v.27 no.5
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• pp.705-715
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• 2014

Metabolic syndrome is a major factor for cardiovascular disease that can develop into a variety of complications such as stroke disease. This study utilizes a Bayesian network to model metabolic syndrome. In addition, we tried to find the best risk combinations to diagnose metabolic syndrome. We confirmed that the combinations are difference according to individual characteristics. The paper used data from 4,489 adults who responded to all health interview questions from the the $5^{th}$ Korea National Health and Nutrition Examination Survey conducted in 2010.

• Journal of Digital Convergence
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• v.13 no.8
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• pp.375-385
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• 2015

This study aims to identify geographical variations and factors that affect smoking rates. The data are collected from the Community Health Survey conducted between 2009 and 2011 by Korea Centers for Disease Control and Prevention and other government organizations. Correlation and multiple regression analysis were used to examine the factors influencing smoking rates. For the purpose of investigating regional variations, we employed a decision tree model. The study has found that the significant factors associated with geographical variations in the smoking rates were the rate of hazardous drinking, the completion rate of hypertension education, the experience rate of anti-smoking campaigns, stress awareness rate, hypertension prevalence, health insurance cost, diabetes prevalence, obesity rate, and strength training rate. Convergence-based analysis on geographical variations of the smoking rates is highly important when the regionally customized healthcare programs is implemented. In the future, it is necessary to develop effective program and customized approach for the regions of high smoking rates. Our study is expected to be used as meaningful data for the design of effective health care programs and assessments to lead effective non-smoking program.

• Journal of Digital Convergence
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• v.13 no.5
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• pp.277-288
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• 2015

This study aims to identify determinants affecting on geographic variations in the prevalence of arthritis in Korean women using data mining. Data from Korean Community Health Survey 2012 with 249 small districts were analyzed. Socio-demographic, health behavior and status, and morbidity status measures were analyzed using conventional regression model and convergence analysis method such as decision tree for convergence analysis. Rate of workers in agriculture, forestry, and fishing, salaried workers, persons higher than high school graduates, non-treatment of needing care, non-treatment of care because of economic reason, obesity, heavy drunkers, complaining persons of chewing difficulty, persons with experiencing depression, persons with perceiving stress, and persons with diagnosing hypertension and angina pectoris were variation determinants of prevalence of arthritis in 249 small districts and these districts were classified 10 area groups by decision tree model. Our finding suggest that the approach based characteristics by small area groups rather than national wide or individual level would be effective to reduce in variations of prevalence of arthritis.

• Journal of Convergence for Information Technology
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• v.11 no.8
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• pp.160-167
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• 2021

This study was conducted to empirically analyze the prevalence and risk of chronic diseases in the family history of chronic diseases using data from the Korea National Health and Nutrition Examination Survey 2019. Based on 5,691 people, after controlling for socio-demographic variables that were related to family history of chronic diseases, logistic regression analysis was performed to verify the odds ratio, which was the risk of family history of chronic diseases for the prevalence of chronic diseases. The main results were founded that Odds ratio, which was the risk of chronic diseases in groups with a family history compared to those without a family history, was statistically significant at hypertension(2.623), dyslipidemia(1.868), diabetes(1.964), and arthritis(1.435) when gender, age, income status, education level and residence were controlled. These results suggest that it is not only necessary to develop a standardization tool for family history tests, but also a health and disease management system for members with a family history in terms of preventive medicine in health care. This study is significant in that it proposed a practical plan in terms of health care by controlling variables that affect the prevalence of chronic diseases and empirically identifying the risk of family history of chronic diseases.

• Journal of agricultural medicine and community health
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• v.10 no.1
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• pp.42-48
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• 1985

This study was carried out to obtain the basic data for epdemiological survey of hypertension in old population (60 years or more). From May, 1983 to April, 1984, 365 males and 335 females who inhabit in Ko-Chang Gun, Chonbuk Province were investigated for several factors as their socio-econmic status and laboratory examinations with blood pressure, and which factors were analysed by simple correlation and multiple regression analysis. The results are summarized as follows; 1) Sample size of this study is equivalent to 5.2%(male;6.7%, female;4.3%) of population in 60 years or more age group, and the mean age of samples is 70.6${\pm}$5.3 (yr.) in males and 71.4${\pm}$5.3 (yr.) in female (P>0.05). 2) Mean blood pressure of males are 135.9${\pm}$21.3mm Hg in systolic and 85.3${\pm}$13.4mm Hg in diastolic phase and in female, 131.0${\pm}$23.6 mm Hg and 84.1${\pm}$19.9 mm Hg (P < 0.01). Their prevalence rates of hypertension (${\geq}$ 140 mm Hg in systolic, ${\geq}$ 95 mm Hg in diastolic phases) are 33.7% in males, 40.6% in females (P < 0.01). 3) Serum cholesterol levels and other independent variables are revealed in normal ranges, and except to Vervaeck index (89.4${\pm}$5.6 in males, 87.5${\pm}$6.7 in females, p<0.01), other are not significant sexual differences (P>0.05). 4) In the simple correlation analysis, the main factors that affect to blood pressure are serum cholesterol levels (P < 0.05) and Vervaeck index (P < 0.01) in males, age (P <0.05) and Vervaeck index (P <0.01) in females. 5) In multiple regression analysis, prediction equations for blood pressure are calculated as follows; Ysm=-64.55+0.161(X1)+0.124(X2)-0.047(X3)+1.953(X4) Ydm=18.61-0.125(X1)+0.060(X2)+0.032(X3)+0.720(X4) Ysf=-0.22+0.536(X1)+0.134(X2)+0.068(X3+0.788(X4) Yaf=-14.46+0.685(X1)+0.033(X2)+0.176(X3)+0.362(X4) Ysm : Systolic blood pressure in male, Ydm : Diastolic blood pressure in male, Ysf : Systolic blood pressure in female, Ydf : Diastolic blood pressure in female. X1 : Age(year), X2 : Serum cholesterol level (mg%), X3 : Fastin blood sugar (mg% ), X4 : Vervaeck index.

• Korean Public Health Research
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• v.44 no.4
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• pp.87-97
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• 2018

Background: Recently, the prevalence of obesity (body mass index [BMI] ${\geq}25kg/m^2$) has been increasing rapidly worldwide over a short period. In Korea, the prevalence of obesity has also increased rapidly due to the rapid socio-economic development and lifestyle changes, with differing patterns according to gender. This study aimed to compare the change in obesity prevalence according to gender among the adult population in Korea using representative data, the National Health Check-up Database (NHCD), to follow-up individuals who had undergone checkups during both years in Korea (2011~2013). Methods: To analyze the changes in obesity prevalence in the recent two years, data regarding men and women who had undergone health check-ups in both two years (2011, 2013) were extracted. The final study population comprised 144,934 persons: 83,604 (58%) males and 61,330 (42%) females. Chi-square test within a univariate analysis, and the level of factor difference was verified with t-test, one-way ANOVA and multiple comparison. Results: In 2011, one out of three participants was obese (BMI ${\geq}25kg/m^2$; male, 37.7%; female, 27.3%) and more than half of the subjects were overweight (BMI ${\geq}23kg/m^2$; male, 65.6%; female, 50.4%) requiring obesity management. For the two years, the BMI of the participants significantly increased (p < .0001) and the prevalence of obesity increased among both males and females. The prevalence of obesity was higher among both genders with a longer duration of smoking, more smoking, family history of hypertension, and family history of diabetes. However, residence, income level, drinking status, psychiatric disorder, disability status and severity of disability were the opposite gender. Conclusion: In the analysis of data, the prevalence of obesity among both men and women was increasing. The degree of change in the prevalence of obesity among men and women was different in each variable. Thus, it will need to consider gender in developing health policies for obesity mediation and to provide integrated healthcare and management for those people.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.411-418
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• 2022

The purpose of this study is to investigate the relationship between sleep time and pulse pressure in Korean adults, and the research method used data from the 7th period (2016-2018) of the National Health and Nutrition Examination Survey. Subjects were 5,707 persons aged 20 years or older, and for frequency and percentage continuous data, mean and standard deviation, cross analysis and independent t-test, and stepwise logistic regression analysis for high pulse pressure were performed. SPSS WIN 18.0 version statistical program was used. was used. As a result of the study, the prevalence of hypertension was higher in the overall population (OR=1.344, 95% CI=1.002-1.803) and in women (OR=1.624, 95% CI=1.112-2.371) when sleeping for more than 9 hours compared to less than 6 hours. high, but not significant in males (OR=1.012, 95% CI=0.631-1.550). Therefore, considering the effects of inappropriate sleep time on health, public health education and management are necessary. Further research on the relationship between sleep time and pulse pressure will be needed.