• Health Policy and Management
• /
• v.26 no.3
• /
• pp.185-194
• /
• 2016

Background: The purpose of this study is to forecast changes in the prevalence of chronic diseases and health expenditure by age group. Methods: Based on the Future Elderly Model, this study projects the size of Korean population, the prevalence of chronic diseases, and health expenditure over the 2014-2040 period using two waves (2012, 2013) of the Korea Health Panel and National Health Insurance Service database. Results: First, the prevalence of chronic diseases increases by 2040. The population with hypertension increases 2.04 times; the diabetes increases 2.43 times; and the cancer increases 3.38 times. Second, health expenditure on chronic diseases increases as well. Health expenditure on hypertension increases 4.33 times (1,098,753 million won in 2014 to 4,760,811 million won in 2040); diabetes increases 5.34 times (792,444 million won in 2014 to 4,232,714 million won in 2040); and cancer increases 6.09 times (4,396,223 million won in 2014 to 26,776,724 million won in 2040). Third, men and women who belong to the early middle-aged group (44-55 years old) as of 2014, have the highest increase rate in health spending. Conclusion: Most Korean literature on health expenditure estimation employs a macro-simulation approach and does not fully take into account personal characteristics and behaviors. Thus, this study aims to benefit medical administrators and policy makers to frame effective and targeted health policies by analyzing personal-level data with a microsimulation model and providing health expenditure projections by age group.

• Journal of Korean Public Health Nursing
• /
• v.27 no.2
• /
• pp.327-337
• /
• 2013

Purpose: This study was conducted to determine the prevalence rate of depression and the associated factors affecting the depression among the elderly beneficiaries of the national basic livelihood scheme. Methods: From the beneficiaries of the "visiting health care program" in a city the beneficiaries (aged 65 years or older) of the national basic livelihood scheme were selected. A total of 677 subjects were included in the study and hence for data analyses. Results: The observed prevalence rate of depression was 80.5% (mild depression was 60.2%, and severe depression was 20.3%). The factors influencing depression were indicative of subjective health status, walking exercise, hypertension, and diabetes. Conclusion: On the basis of our study results, as a strategy to reduce the prevalence rate of depression among the elderly concerned, we are of the opinion that it is very much necessary to motivate them to practice continuous and regular walking exercises in easily accessible places by mobilizing community resources such as visiting nurses and volunteers. Such efforts may not only immediately reduce the morbidity rate of depression among the low-income elderly, but also, in the long run, prevent suicides and contribute to improving their mental health status to an appreciable extent.

• Journal of the Korean Society of Food Culture
• /
• v.18 no.2
• /
• pp.123-133
• /
• 2003

The purpose of this study is to compare the correlation of clinical characteristics and patterns of disease. Subjects of the study were the adults(207) living in Geoje City, the diabetes mellitus and the hypertension patients(166) and the normal people(41). In the diabetes mellitus group and the hypertension group, blood pressure, blood glucose, total cholestero LDL-cholesterol and atherogenic index(AI) were significantly high. As the obesity index was getting higher, the blood pressure of the diabetes mellitus group was high, and the HDL-cholesterol of the hypertension group was low, but AI of it was significantly high. The AI was significantly high as serum lipid index were getting higher in both groups. The rate of the prevalence was very high in the diabetes mellitus group(74.3%) and the hypertension group(73.7%). The pattern in the diabetes mellitus group was in order of the hypertension, the hyperlipidemia, and the obesity but, in the hypertension group was the hyperlipidemia, and the obesity. The obesity index and serum lipid index of complex patient group were higher than single patient group.

• The Korean Journal of Food And Nutrition
• /
• v.32 no.3
• /
• pp.216-225
• /
• 2019

The objective of this study was to compare nutrients intake, health indices, and prevalence of chronic diseases by occupation in middle-aged men, using results from National Health and Nutrition Examination Survey. The subjects were divided into two groups by their occupation (Office worker (OW) and Agri-fishery worker (AFW)) and their percentages were 75.5% and 24.5% respectively. In health-related factors, drinking rate was higher in OW (p<0.001), while smoking rate was higher in AFW (p<0.001). Walking and strength exercise were both higher in OW group. In dietary behavior, the rate of skipping breakfast and eating out was higher in OW (p<0.001). Food supplement usage were consumed by OW more than AFW (p<0.001). Daily energy intake was higher in AFW (p<0.05). There were significant differences in nutrient density per 1,000 kcal of minerals and vitamins between the two groups (p<0.05~p<0.001), except calcium, potassium, vitamin A and thiamin. In body weight, BMI, waist circumference and blood pressures, OW was higher than AFW (p<0.05~p<0.001). Whereas, HDL and LDL-cholesterol were higher in AFW (p<0.001). The prevalence of diabetes was higher in AFW (p<0.001). The results of this study can be used as data to establish nutrition and health strategies for occupation in middle-aged men.

• International Journal of Computer Science & Network Security
• /
• v.23 no.8
• /
• pp.17-25
• /
• 2023

The alarming global prevalence of Type 2 Diabetes Mellitus (T2DM) has catalyzed an urgent need for robust, early diagnostic methodologies. This study unveils a pioneering approach to predicting T2DM, employing the Extreme Gradient Boosting (XGBoost) algorithm, renowned for its predictive accuracy and computational efficiency. The investigation harnesses a meticulously curated dataset of 4303 samples, extracted from a comprehensive Chinese research study, scrupulously aligned with the World Health Organization's indicators and standards. The dataset encapsulates a multifaceted spectrum of clinical, demographic, and lifestyle attributes. Through an intricate process of hyperparameter optimization, the XGBoost model exhibited an unparalleled best score, elucidating a distinctive combination of parameters such as a learning rate of 0.1, max depth of 3, 150 estimators, and specific colsample strategies. The model's validation accuracy of 0.957, coupled with a sensitivity of 0.9898 and specificity of 0.8897, underlines its robustness in classifying T2DM. A detailed analysis of the confusion matrix further substantiated the model's diagnostic prowess, with an F1-score of 0.9308, illustrating its balanced performance in true positive and negative classifications. The precision and recall metrics provided nuanced insights into the model's ability to minimize false predictions, thereby enhancing its clinical applicability. The research findings not only underline the remarkable efficacy of XGBoost in T2DM prediction but also contribute to the burgeoning field of machine learning applications in personalized healthcare. By elucidating a novel paradigm that accentuates the synergistic integration of multifaceted clinical parameters, this study fosters a promising avenue for precise early detection, risk stratification, and patient-centric intervention in diabetes care. The research serves as a beacon, inspiring further exploration and innovation in leveraging advanced analytical techniques for transformative impacts on predictive diagnostics and chronic disease management.

• Journal of Nutrition and Health
• /
• v.50 no.2
• /
• pp.158-170
• /
• 2017

Purpose: The purpose of this study was to explore the relationship between milk intake and prevalence rates of chronic diseases using KNHANES data, and the significance of the relationship was tested based on meditators, socioeconomic status (income, education), dietary behaviors (smoking, alcohol drinking, breakfast, and eating out), and physical activity (walking, medium, and high). Methods: Using the 5th and 6th survey data of KNHANES, milk intake rates and presence of seven chronic diseases were summarized and analyzed by ANOVA for two groups of adult men and women as follows: hypertension, hypertriglyceridemia, low HDL-cholesterol, diabetes, abdominal obesity, obesity, and metabolic syndrome. The dependent variables for the presence of seven chronic diseases regressed with socioeconomic, dietary behavior, and physical activity variables according to Logistic models. The dependent variables for milk intake using predictor variables of socioeconomic, dietary behaviors and physical activity were analyzed according to Logistic models. Finally, the significant socioeconomic, dietary behavior, and physical activity variables in the above model along with milk intake as a control variable or mediator variable regressed with significant chronic diseases according to Logistic models. Results: Milk intake, socioeconomic status, dietary behaviors, and physical activity were significantly different among the two groups of adult men and women, which were also critical factors to the prevalence of chronic diseases. The dependent variable for prevalence of chronic diseases regressed with significant factors of socioeconomic status, dietary behavior, and physical activity variables according to chronic diseases using the control or mediator variable of milk intake and summarized as follows: For adult men, milk intake controlled the education effect on diabetes partly, alcohol on hypertension and hypertriglyceridemia, low HDL-cholesterol, metabolic syndrome, breakfast on metabolic syndrome, eating out on obesity, and medium physical activity on hypertriglyceridemia. For adult women, household income on hypertriglyceridemia, diabetes, abdominal obesity, education level on hypertension, alcohol drinking, eating out, and walking activity on abdominal obesity, alcohol, breakfast, eating out, walking activity on low HDL-cholesterol, and medium physical activity on hypertriglyceridemia and low HDL-cholesterol were partly controlled by milk intake. Other significant socioeconomic status, dietary behavior, and physical activity variables related to prevalence of chronic diseases were fully controlled or mediated by milk intake. Conclusion: This study shows that milk intake (daily more than 200 g) prevents chronic diseases such as hypertension, hypertriglyceridemia, low HDL-cholesterol, diabetes, obesity, abdominal obesity, and metabolic syndrome.

• Genomics & Informatics
• /
• v.21 no.4
• /
• pp.48.1-48.8
• /
• 2023

Liver cancer is the fourth leading cause of death worldwide. Well-known risk factors include hepatitis B virus and hepatitis C virus, along with exposure to aflatoxins, excessive alcohol consumption, obesity, and type 2 diabetes. Genomic variants play a crucial role in mediating the associations between these risk factors and liver cancer. However, the specific variants involved in this process remain under-explored. This study utilized a bioinformatics approach to identify genetic variants associated with liver cancer from various continents. Single-nucleotide polymorphisms associated with liver cancer were retrieved from the genome-wide association studies catalog. Prioritization was then performed using functional annotation with HaploReg v4.1 and the Ensembl database. The prevalence and allele frequencies of each variant were evaluated using Pearson correlation coefficients. Two variants, rs2294915 and rs2896019, encoded by the PNPLA3 gene, were found to be highly expressed in the liver tissue, as well as in the skin, cell-cultured fibroblasts, and adipose-subcutaneous tissue, all of which contribute to the risk of liver cancer. We further found that these two SNPs (rs2294915 and rs2896019) were positively correlated with the prevalence rate. Positive associations with the prevalence rate were more frequent in East Asian and African populations. We highlight the utility of this population-specific PNPLA3 genetic variant for genetic association studies and for the early prognosis and treatment of liver cancer. This study highlights the potential of integrating genomic databases with bioinformatic analysis to identify genetic variations involved in the pathogenesis of liver cancer. The genetic variants investigated in this study are likely to predispose to liver cancer and could affect its progression and aggressiveness. We recommend future research prioritizing the validation of these variations in clinical settings.

• Journal of Preventive Medicine and Public Health
• /
• v.48 no.3
• /
• pp.170-177
• /
• 2015

Objectives: The goal of this study was to examine the association of various demographic and socioeconomic factors with risk factors for chronic kidney disease (CKD). Methods: We used nationally representative pooled data from the Korea National Health and Nutrition Examination Survey (KNHANES), 2007-2013. We estimated the glomerular filtration rate (GFR) using the Modification of Diet in Renal Disease equation. We defined CKD as a GFR <60 mL/min/$1.73m^2$, and 1304 of the 45 208 individuals included in the KNHANES were found to have CKD by this definition. The outcome variable was whether individual subjects adhered to the CKD prevention and management guidelines recommended by the Korea Centers for Disease Control and Prevention. The guidelines suggest that individuals maintain a normal weight, abstain from alcohol consumption and smoking, manage diabetes and hypertension, and engage in regular exercise in order to prevent and manage CKD. Results: This study found that individuals with CKD were more likely to be obese and have hypertension or diabetes than individuals without CKD. In particular, male and less-educated CKD patients were less likely to adhere to the guidelines. Conclusions: Although the prevalence of CKD, as indicated by the KNHANES data, decreased from 2007 to 2013, the prevalence of most risk factors associated with CKD fluctuated over the same time period. Since a variety of demographic and socioeconomic factors are related to the successful implementation of guidelines for preventing and managing CKD, individually tailored prevention activities should be developed.

• Journal of Korean society of Dental Hygiene
• /
• v.16 no.1
• /
• pp.1-9
• /
• 2016

Objectives: The purpose of the study was to identify the oral care status and periodontal disease of middle aged daibetic patients in Korea. Methods: The primitive data were taken from 238 diabetic people in the 5th Korea National Health and Nutrition Examination Survey(KNHANES) in 2010 - 2012. The variables included general profiles(gender, age, occupied area, education, and smoking), oral care status(brushing time, brushing time, use of oral hygienic supplies, availability of oral hygienic supplies, oral examination, and recognition of oral health state), and diabetes management(morbidity period, treatment, education, and glycosylated hemoglobin levels). Results: Most of the subjects took gargling more than twice a day and it accounted for 73.5%. Oral hygienic supply users accounted for 24.8%, and most of them used floss brush. Oral examination was done in 19.3% of the respondents and 55.0% thought that their oral health status were very poor. The prevalence rate of the periodontal diseases was 46.6%. Female tended to have a higher rate of periodontal disease than the male. Oral hygienic supply users had lower rate of periodntal disease than those who did not use. Those who had poor subjective oral health status had higher prevalence rate of periodontal disease than those who did not. Conclusions: Periodontal disease is closely related to good oral care of middle aged diabetic patients. It is necessary to develop the program for the prevention of the periodontal disease for the diabetic patients.

• Journal of Korean society of Dental Hygiene
• /
• v.16 no.2
• /
• pp.233-240
• /
• 2016

Objectives: The aim of this study was to evaluate the oral health status and behavior in Korean diabetic adults. Methods: The study subjects were 11,840 adults who participated in the fifth Korea National Health and Nutrition Examination Survey(2010-2012). Diabetic status was defined by doctors and fasting blood sugar(FBS) level. Oral health status was assessed by decayed-missing-filled teeth(DMFT), community periodontal index(CPI), periodontal disease, denture needs, limitation of oral function, and chewing difficulty. The oral health behavior was evaluated by oral examination within a year, brushing times a day, and use of auxiliary oral product. The data were analyzed by descriptive analysis, chi-square tests and multiple logistic regression analyses. Results: The prevalence rate of diabetes mellitus diagnosed by doctor and FBS was 8.3% and 10.2%, respectively. The prevalence rate of periodontitis was 25.4%. The proportions of $DMFT{\geq}20$, $CPI{\geq}3$, periodontal disease, denture needs, oral function limitation and chewing difficulty in the confirmed diabetic group by doctor were significantly higher than those of the non-diabetic group(p<0.05). In multiple logistic regression analysis, the adjusted odds ratio(aOR) for periodontal disease(aOR=1.73, 95% CI=1.41-2.12), presence of denture needs(aOR=1.40, 95% CI=1.06-1.84), limited oral function(aOR=1.43, 95% CI=1.15-1.78) and chewing difficulty(aOR=1.41 95% CI=1.13-1.77) in diabetic subjects were significantly higher than those of the non-diabetic subjects. There were similar associations between diabetes defined with FBS and oral health. In oral health behavior, diabetic subjects had significantly lower odds ratios for oral examination(aOR=0.76, 95% CI=0.60-0.98), brushing time ${\geq}2$ times(aOR=0.73, 95% CI=0.57-0.93), and auxiliary oral products(aOR=0.74, 95% CI=0.59-0.94). Conclusions: There was a significant relationship between oral health status and behavior in Korean diabetic adults. Further study is needed to evaluate the underlying mechanisms between diabetes mellitus and oral health status.