• Journal of Nutrition and Health
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• v.53 no.6
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• pp.570-582
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• 2020

Purpose: Obesity is a risk factor for various adult diseases such as type 2 diabetes, cardio-cerebrovascular disease, and cancer. With an increasing obesity population worldwide, the prevention of obesity with natural components has emerged as an alternative health care strategy. Ramulus mori (Sangzhi, RM) is widely used as a traditional herbal medicine in East Asia. It contains various phytochemicals, including stilbenes and 2-arylbenzofurans. In this study, we compared the anti-obesity effects of RM extracts and its major stilbene components (mulberroside A [MSA] and oxyresveratrol [ORT]) in high fat diet (HFD)-fed obese mice. Methods: Five week-old, male C57BL/6J mice were grouped into 7 experimental groups: normal diet (ND), HFD, HFD + 1% RM water extracts (MW), HFD + 0.1% MSA, HFD + 1% RM ethanol extracts (ME), HFD + 0.1% ORT, and HFD + 1% Garcinia cambogia extracts (GC) as a positive control. All mice were fed experimental diet for 13 weeks. Results: Compared to the HFD group, total body weight and weekly body weight gain were significantly decreased in the ME, ORT, and GC groups. Glucose tolerance level was significantly decreased in all experimental groups, whereas plasma insulin level was decreased in MSA, ME, ORT and GC groups. Plasma glucose, triglyceride (TG), and total cholesterol levels were significantly decreased, whereas high-density lipoprotein cholesterol levels were increased in the MSA, ORT, and GC groups. Hepatic TG accumulation was also significantly decreased in the MSA, ME, ORT, and GC groups. Adipose tissue weight and size of adipocytes were significantly decreased in the MSA, ME and ORT groups, and were comparable to values obtained in the GC group. The levels of adiponectin and SREBP1c mRNA expressions were increased in the ORT and GC groups. Conclusion: These results indicate that ME, ORT and MSA exert significant anti-obesity effect, and have the potential to be developed as a weight control ingredient of functional foods.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.47 no.6
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• pp.445-453
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• 2021

Objectives: Periodontitis is the most common chronic disease that causes tooth loss and is related to systemic diseases such as cardiovascular disease and diabetes. An objective indicator of the current activity of periodontitis is necessary. Soluble forms of the receptor for advanced glycation end products (sRAGE) are markers that reflect the status of inflammatory diseases. In this study, the relationship between sRAGE and periodontitis was analyzed to determine whether it can be used to diagnose the current state of periodontitis. Patients and Methods: Eighty-four patients without any systemic diseases were diagnosed with periodontitis using three classifications of periodontitis. Demographics and oral examination data such as plaque index (PI), bleeding on probing (BOP) index, and probing pocket depth (PPD) were analyzed according to each classification. In addition, correlation and partial correlation between sRAGE and the values indicating periodontitis were analyzed. Results: In each classification, the level of sRAGE tended to decrease if periodontitis was present or severe, but this change was not statistically significant. sRAGE and periodontitis-related variables exhibited a weak correlation, among which the BOP index showed a relatively strong negative correlation (ρ=-0.20). Based on this, on analyzing the correlation between the BOP index and sRAGE in the group with more severe periodontitis (PPD≥5 mm group, severe group of AAP/CDC [American Academy of Periodontology/Centers for Disease Control and Prevention], periodontitis group of López), the correlation further increased (ρ=-0.23, -0.40, -0.50). Partial correlation analysis of the sRAGE and BOP index showed a stronger negative correlation (ρ=-0.36, -0.55, -0.45). Conclusion: sRAGE demonstrated a tendency to decrease upon increased severity of periodontitis according to the classifications used. Above all, the correlation with the BOP index, which reflects the current state of periodontitis, was higher in the group with severe periodontitis. This indicates that the current status of periodontitis can be diagnosed through sRAGE.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.469-482
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• 2022

The purpose of this study is to analyze regional variation factors of hypertension treatment rate in COVID-19 based on the analysis results based on ecological methodology. To this end, data suitable for ecological analysis were collected from the Korea Centers for Disease Control and Prevention's regional health statistics, local government COVID-19 confirmed cases, National Health Insurance Corporation, Health Insurance Review and Assessment Service's welfare statistics, and Korea Transport Institute's traffic access index. Descriptive statistics and correlation analysis were conducted using SPSS Statistics 23 for regional variation and related factors in hypertension treatment rate, and geographical weighted regression analysis was conducted using Arc GIS for regional variation factors. As a result of the study, the overall explanatory power of the calculated geo-weighted regression model was 27.6%, distributed from 23.1% to 33.4% by region. As factors affecting the treatment rate of hypertension, the higher the rate of basic living security medical benefits, diabetes treatment rate, and health institutions per 100,000 population, the higher the rate of hypertension treatment, the lower the number of COVID-19 confirmed patients, the lower the rate of physical activity, and the alcohol consumption. Percentage of alcohol consumption decreased due to COVID-19 pandemic. It was analyzed that the lower the ratio, the higher the treatment rate for hypertension. Based on these results, the analysis of regional variables in the treatment rate of hypertension in COVID-19 can be expected to be effective in managing the treatment rate of hypertension, and furthermore, it is expected to be used to establish community-centered health promotion policies.

• The Korean Journal of Physiology and Pharmacology
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• v.26 no.6
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• pp.541-556
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• 2022

Myocardial fibrosis is a key link in the occurrence and development of diabetic cardiomyopathy. Its etiology is complex, and the effect of drugs is not good. Cardiomyocyte apoptosis is an important cause of myocardial fibrosis. The purpose of this study was to investigate the effect of gaseous signal molecule sulfur dioxide (SO₂) on diabetic myocardial fibrosis and its internal regulatory mechanism. Masson and TUNEL staining, Western-blot, transmission electron microscopy, RT-qPCR, immunofluorescence staining, and flow cytometry were used in the study, and the interstitial collagen deposition, autophagy, apoptosis, and changes in phosphatidylinositol 3-kinase (PI3K)/AKT pathways were evaluated from in vivo and in vitro experiments. The results showed that diabetic myocardial fibrosis was accompanied by cardiomyocyte apoptosis and down-regulation of endogenous SO₂-producing enzyme aspartate aminotransferase (AAT)_1/2. However, exogenous SO₂ donors could up-regulate AAT_1/2, reduce apoptosis of cardiomyocytes induced by diabetic rats or high glucose, inhibit phosphorylation of PI3K/AKT protein, up-regulate autophagy, and reduce interstitial collagen deposition. In conclusion, the results of this study suggest that the gaseous signal molecule SO₂ can inhibit the PI3K/AKT pathway to promote cytoprotective autophagy and inhibit cardiomyocyte apoptosis to improve myocardial fibrosis in diabetic rats. The results of this study are expected to provide new targets and intervention strategies for the prevention and treatment of diabetic cardiomyopathy.

• Journal of Life Science
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• v.31 no.11
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• pp.1037-1045
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• 2021

The prevalence of obesity is increasing worldwide, and since obesity is associated with dietary factors and sedentary lifestyles, it is a disease that is readily developing in the modern population. Because obesity is accompanied by serious complications such as diabetes and cardiovascular disease, prevention and treatment are important. Currently, drugs such as liraglutide and phentermine are used to treat obesity by suppressing appetite and inducing gastrointestinal motility delay. However, various side effects may occur, including thyroid cancer, cardiovascular problems, and central nervous system disorders. Therefore, to explore an obesity treatment method with relatively few side effects, a method known as "fat browning" was introduced to change white adipose tissue into brown adipose tissue to increase energy consumption. Ongoing studies are attempting to find effective natural substances to safely induce browning. Many natural substances have been identified. The induction of browning by treatment with natural substances generally involves three mechanisms: positive control of browning-inducing factors, inhibition of differentiation into white adipose tissue, and the activation of mechanisms related to browning. In this study, we describe plant extracts with known browning-inducing effects, such as strawberry, black raspberry, cinnamomum cassia, and Ecklonia stolonifera extracts. We also summarize the underlying mechanisms of action identified thus far, including the signaling pathway mediated by these extracts to induce browning. Furthermore, the effects of brown adipose tissue generated through browning on heart disease as an endocrine organ disruptor are discussed.

• Journal of Applied Biological Chemistry
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• v.65 no.3
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• pp.189-194
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• 2022

In this study, a sesame meal was used in order to analyze the proximate composition and mineral contents. The sesame seed meal, pressed from roasted Sesame seed, contains various polyphenols. The defatted sesame meal was extracted using 70% ethanol, and its antioxidant activity and antidiabetic effects were evaluated. Proximate composition of sesame meal was showed that moisture 6.51%, carbohydrate 16.22%, crud protein 46.30%, ash 9.88%, crude fat 21.09%. Mineral contents were K 1128.08 mg/100 g, Ca 1356.27 mg/100 g, Fe 12.29 mg/100 g, P 2022.14 mg/100 g, Cu 2.08 mg/100 g, Mg 643.40 mg/100 g, Na 7.29 mg/100 g. The results showed the sesame meal of 70% ethanol extract had higher polyphenol content (184.98 mg GAE/g) and flavonoid content (27.63 mg QE/g). The 2,2-diphenyl-1-picrylhydra-zyl and 2,2'-aziono-bis(3-ethylbenzthiazoline-6-sulfonic acid radical scavenging activities of defatted sesame meal (IC₅₀ ) were 891.84 and 340.09 ㎍/mL. According to the test results, the defatted sesame meal extracted using 70% ethanol had significant antioxidant activity and inhibitory ability to diabetes-related enzymes, indicating that it has good potential as a functional food or nutritional food for prevention and treatment of oxidation.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.67 no.4
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• pp.305-318
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• 2022

To minimize the effects of aging-related comorbidities and to maintain a good quality of life and physical independence for a longer period, the improvement of lifestyle and dietary habits is essential, and healthy foods can be helpful. Among them, medicinal plant such as ginseng (Panax ginseng) and bellflower (Platycodon grandiflorum) contain natural functional substances and have been used for disease treatment and prevention since ancient times. This review summarizes the scientific of these treatments basis by investigating the pharmacological and pharmacokinetic effects of major functional substances on the aging-related health effects of Panax ginseng and Platycodon grandiflorum. The main functional substances of Panax ginseng and Platycodon grandiflorum are saponins, which have a similar molecular structure and confirmed anti-inflammatory, antioxidant, neuroprotective, anticancer, and anti-metabolic syndrome effects (improvement of hypertension, dyslipidemia, diabetes, and obesity). Both types of saponins in Panax ginseng (Ginseonside) and Platycodon grandiflorum (Platycoside) have very low absorption profiles in their purified state, but methods to increase absorption in the body through extraction or fermentation have been studied.

• Journal of the Korean Society of Food Science and Nutrition
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• v.38 no.3
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• pp.319-332
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• 2009

The present study was performed to analyze the life style and eating behavior of stroke patients and to find the risk factors related to stroke incidence in Daegu and Gyeongbuk Province, Korea. The case subjects (n=100) were selected from newly diagnosed stroke patients at Kyungpook National University Hospital. The control subjects (n=150) were selected from community inhabitants who did not have stroke history and were sex and age-matched with the case subjects. The survey was conducted by individual interviews using questionnaires on the general characteristics, life-style, eating behavior, food intake frequency and food preference. The high body mass index, preexisting diseases such as diabetes and hypertension, stroke family history, smoking, overeating habit and high preference for sweet, greasy and meat foods appeared to be the risk factors for stroke incidence. On the other hand, the results suggest that life style of regular exercise and nonsmoking, food habits of green tea drinking and enough chewing, preference for Korean meal type, high intake frequency for legumes, vegetables, mushrooms, seaweeds, fishes and shell fishes, soy milk and green tea might be the protective factors for the stroke. Therefore, maintenance of healthy weight, the prevention and management of the deteriorative chronic diseases, change of life style and improvement of eating behaviors are considered to be important for stroke prevention.

• The Korean Journal of Rehabilitation Nursing
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• v.2 no.2
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• pp.257-270
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• 1999

The purpose of this study is to investigate factors related to the intent of using home nursing of chronic disease patients who got out of a university hospital. For the purpose, the study selected 153 patients who were hospitalized and left K university hospital with diagnoses of cancer, hypertension, diabetes and cerebral vascular accident and ordered to be discharged and performed interviews with them and surveys on their medical records to obtain the following results. For this study a direct-interview survey and medical record review was conducted from June 28 to Aug. 30, 1998. The frequency and mean values were computed to find the characteristics of the study subjects, and $X^2$-test, t-test, factor analysis and multiple logistic regession analysis were applied for the analysis of the data. The following results were obtained. 1) When characteristics of the subjects were examined, men and women occupied for 58.8% and 41.2%, respectively. The subjects were 41.3 years old in aver age and had the monthly aver age earning of 0.99 million won or below, which was the most out of the total subjects at 34.6%. Among the total, 87.6% resided in cities and 12.4 in counties. The most left the hospital with diagnosis of cancer at 51.6%, followed by hyper tension at 24.2%, diabetes at 13.7% and cerebral vascular accident at 7.2%. 2) 93.5% of the selected patients had the intent of using home nursing and 6.5%, didn't. Among those patients having the intent, 85.6% had the intent of paying for home nursing and 14.4%, didn't. The subjects expected that the nursing would be paid 9,143 won in aver age and 47.7% of them preferred national authorities as the main servers. 86.3% of the subjects thought that home nursing business had the main advantage of making it possible to learn nursing methods at home and thereby contributing to improving the ability of patients and their facilities to solve health problems. 3) Relations between the intent of use and characteristics of the subjects such as demography-related social, home environment, disease and physical function characteristics did not show statistically significant differences among one another. Compared to those who had no intent of using home nursing, the group having the intent had more cases of male patients, the age of 39 or below, residence in cities, 5 family member s or more, no existence of home nursing servers, leaving the hospital from a non-hospitalized building, disease development for five months or below, hospitalization for ten days or more, non-hospitalization with in the recent one month, two times or over of hospitalization, leaving the hospital with no demand of special treatment, operation underwent, poor results of treatment, leaving the hospital with demand of rehabilitation services, physical disablement and high evaluation point of daily life. 4) Among those patients having the intent of using home nursing, 47.6% demanded technical nursing and 55.9%, supportive nursing. As technical nursing,' inject into a blood vessel ' and 'treat pustule and teach basic prevention methods occupied for 57.4%, respectively, topping the list. Among demands of supportive nursing, 'observe patients 'status and refer them to hospitals or community resources as available, if necessary' was the most with percent age point of 59.5. Regarding the intent of paying for home nursing, 39.2% of those patients wishing to use the nursing responded paying for technical services and 20.2, supportive services. In detail, 70.0% wanted to pay for a service stated as 'inject into a blood vessel', highest among the former services and 30.7%, a service referred to as 'teaching exercises needed to make the body of patients move', highest among the latter. When this was analyzed in terms of a relation between the need(the need for home nursing) and the demand(the intent of paying for home nursing), The rate of the need to the demand was found two or three times higher in technical nursing(0.82) than in supportive nursing(0.35). In aspects of tech ical nursing, muscle injection(1.26, the 1st rank) was highest in the rate while among aspects of supportive nursing, a service referred to as 'teach exercises needed for making patients move their bodies normally'(0.58, the 1st rank). 5) factors I(satisfaction with hospital services), II(recognition of disease state), III(economy) and IV(period of disease) occupied for 34.4, 13.8, 11.9 and 9.2 percents, respectively among factors related to the intent by the subjects of using home nursing, totaled 59.3%. In conclusion, most of chronic disease patients have the intent of using hospital-based home nursing and satisfaction with hospital services is a factor affecting the intent most. Thus a post-management system is needed to continue providing health management to those patients after they leave the hospital. Further, supportive services should be provided in order that those who are satisfied with hospital services return to their community and live their in dependent lives. Based on these results, the researcher would make the following recommendation. 1) Because home nursing becomes more and more needed due to a sharp increase in chronic disease patients and elderly people, related rules and regulations should be made and implemented. 2) Hospital nurses specializing in home nursing should be cultivated.

• Journal of Intelligence and Information Systems
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• v.24 no.2
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• pp.111-124
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• 2018

This study aims to develop a classification model for predicting the occurrence of hyperlipidemia, one of the chronic diseases. Prior studies applying data mining techniques for predicting disease can be classified into a model design study for predicting cardiovascular disease and a study comparing disease prediction research results. In the case of foreign literatures, studies predicting cardiovascular disease were predominant in predicting disease using data mining techniques. Although domestic studies were not much different from those of foreign countries, studies focusing on hypertension and diabetes were mainly conducted. Since hypertension and diabetes as well as chronic diseases, hyperlipidemia, are also of high importance, this study selected hyperlipidemia as the disease to be analyzed. We also developed a model for predicting hyperlipidemia using SVM and meta learning algorithms, which are already known to have excellent predictive power. In order to achieve the purpose of this study, we used data set from Korea Health Panel 2012. The Korean Health Panel produces basic data on the level of health expenditure, health level and health behavior, and has conducted an annual survey since 2008. In this study, 1,088 patients with hyperlipidemia were randomly selected from the hospitalized, outpatient, emergency, and chronic disease data of the Korean Health Panel in 2012, and 1,088 nonpatients were also randomly extracted. A total of 2,176 people were selected for the study. Three methods were used to select input variables for predicting hyperlipidemia. First, stepwise method was performed using logistic regression. Among the 17 variables, the categorical variables(except for length of smoking) are expressed as dummy variables, which are assumed to be separate variables on the basis of the reference group, and these variables were analyzed. Six variables (age, BMI, education level, marital status, smoking status, gender) excluding income level and smoking period were selected based on significance level 0.1. Second, C4.5 as a decision tree algorithm is used. The significant input variables were age, smoking status, and education level. Finally, C4.5 as a decision tree algorithm is used. In SVM, the input variables selected by genetic algorithms consisted of 6 variables such as age, marital status, education level, economic activity, smoking period, and physical activity status, and the input variables selected by genetic algorithms in artificial neural network consist of 3 variables such as age, marital status, and education level. Based on the selected parameters, we compared SVM, meta learning algorithm and other prediction models for hyperlipidemia patients, and compared the classification performances using TP rate and precision. The main results of the analysis are as follows. First, the accuracy of the SVM was 88.4% and the accuracy of the artificial neural network was 86.7%. Second, the accuracy of classification models using the selected input variables through stepwise method was slightly higher than that of classification models using the whole variables. Third, the precision of artificial neural network was higher than that of SVM when only three variables as input variables were selected by decision trees. As a result of classification models based on the input variables selected through the genetic algorithm, classification accuracy of SVM was 88.5% and that of artificial neural network was 87.9%. Finally, this study indicated that stacking as the meta learning algorithm proposed in this study, has the best performance when it uses the predicted outputs of SVM and MLP as input variables of SVM, which is a meta classifier. The purpose of this study was to predict hyperlipidemia, one of the representative chronic diseases. To do this, we used SVM and meta-learning algorithms, which is known to have high accuracy. As a result, the accuracy of classification of hyperlipidemia in the stacking as a meta learner was higher than other meta-learning algorithms. However, the predictive performance of the meta-learning algorithm proposed in this study is the same as that of SVM with the best performance (88.6%) among the single models. The limitations of this study are as follows. First, various variable selection methods were tried, but most variables used in the study were categorical dummy variables. In the case with a large number of categorical variables, the results may be different if continuous variables are used because the model can be better suited to categorical variables such as decision trees than general models such as neural networks. Despite these limitations, this study has significance in predicting hyperlipidemia with hybrid models such as met learning algorithms which have not been studied previously. It can be said that the result of improving the model accuracy by applying various variable selection techniques is meaningful. In addition, it is expected that our proposed model will be effective for the prevention and management of hyperlipidemia.