• 대한한방내과학회지
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• 제42권4호
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• pp.645-671
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• 2021

Objectives: Metabolic Syndrome (MetS) is strongly related with central obesity, hypertriglyceridemia, low high-density lipoprotein-cholesterol (HDL-C), hyperglycemia, and hypertension. This study reviewed the potential of Chenpi in treatment of MetS through amelioration of co-related diseases, such as diabetes mellitus, hyperlipidemia, obesity, hepatic steatosis, and inflammation. Methods: Six electronic databases (Oriental Medicine Advanced Searching Integrated System (OASIS), Korean Traditional Knowledge Portal, Korea Institute of Oriental Medicine (KIOM), Research Information Sharing Service (RISS), PubMed, and Embase) were used to search for in vitro, in vivo, and clinical research that discusses the potential effects of Chenpi (Citrus unshiu Markovich, Citrus reticulata Blanco) on diabetes mellitus, hyperlipidemia, obesity, hepatic steatosis, and inflammation. Results: This review suggests the potential of Chenpi as a candidate for the treatment of metabolic syndrome through improvement of co-related diabetes, hyperlipidemia, obesity, hepatic steatosis, and inflammation. However, comparison of the results of each study was limited by a lack of quantification of the experimental materials.

• 한국치위생학회지
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• 제15권3호
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• pp.399-410
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• 2015

Objectives: The purpose of the study is to investigate the influencing factors of metabolic syndrome on the periodontal disease in the Korean adults over 40 years old. Methods: The data were extracted from the Fifth National Health Nutrition Survey 2010. The subjects were adults over 40 years old. The periodontal diseases were examined by direct survey. The questionnaire consisted of the general characteristics of the subjects, oral health behavior, metabolic syndrome, and relation to periodontal diseases. CPI(community periodontal index) was measured. CPI indicates periodontal condition and classified into alveolar arch of the upper jaw and the lower jaw. A periodontal disease is defined as $CPI{\geq}3$(over 4 mm). The variables for metabolic diseases included hypertension, diabetes mellitus, dyslipidemia, and obesity measured as BMI. Results: Diabetes mellitus is closely related to periodontal diseases prevalence. Low level of HDL increase the periodontal diseases. Number of toothbrushung, use of dental floss and interdental toothbrush as for the number of toothbrushing, more than twice toothbrushing a day, and use of dental floss and interdental toothbrush reduced periodontal diseases. Conclusions: The risk factors of periodontal disease in Korean adults over 40 years old were sex, age, residence, monthly income, education level, smoking, diabetes and low HDL cholesterol.

• Journal of Preventive Medicine and Public Health
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• 제34권4호
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• pp.309-315
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• 2001

Objective : To develop a boner understanding of the relationship between weight status and the prevalence of obesity related diseases in the Korean population. Methods : The 1998 Korean National Health and Nutrition Survey was used and 10,880 persons who had previously taken health examinations were selected for study. The Korean Society for the Study of Obesity's classification of weight status was used. Hypertension, diabetes mellitus, dyslipidemia, osteoarthritis, chronic heart disease, stroke were included as obesity related disease. A logistic regression model was developed to estimate the prevalence odds ratio by obesity class adjusted for demographic and socioeconomic factors and we converted the odds ratio to a prevalence ratio using the base line prevalence of disease to aid in the interpretation of the ratios. Results : The prevalence of obesity was 26.3% based on the KSSO classification $(BMI\geq25)$. A graded increase in the prevalence ratio was observed with increasing severity of overweight and obesity for all health outcomes with the exception of chronic heart disease in men and stroke in both men and women. With normal weight individuals as the reference, for men who were younger than 50 years, the prevalence ratios were highest for hypertension BMI<23-25: 1.70(95% CI=1.41-2.05), 25$BMI\geq30$: 4.83(95% CI=3.70-5.84). The prevalence ratios for dyslipidemia were as high as hypertension, but were lower than hypertension for diabetes mellitus and osteoarthritis. Prevalence ratios generally were greater in younger adults. The prevalence of having 2 or more obesity related diseases increased with weight status category, except in people who were older than 50 years. Conclusions : Based on results, obesity is an increasingly important health problem in Korea and the disease burden increases according to weight status. For Korean adults, the strongest relationship was seen between weight status and hypertension and dyslipidemia. In older people the impact of excess weight and obesity is stronger than that seen in younger people. Increased efforts in the study of obesity and prevention and treatment of obesity and obesity related disease are required.

• Environmental Analysis Health and Toxicology
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• 제19권3호
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• pp.287-294
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• 2004

Diabetic complication is one of major risk factors leading to vascular disease such as atherosclerosis, stroke, coronary heart disease and etc. Several factors affecting the acceleration of diabetic vascular complication have been known such as hypertension, hyperlipidemia, immune complex and genetic factors. To screen and develop new therapeutics agents for diabetic vascular complication, it is strongly needed to develop animal models for diabetic complications. However in rodents models, diabetic complications is not well developed. Furthermore to assess the possibility of new therapeutics for diabetic vascular complications, diabetic animal models which have the risk factors of diabetic complications is needed. We aim to develop and establish an diabetic animal model which have diabetic complications with hyperlipidemia which is one of risk factors for diabetic complications. We induced insulin -dependent diabetes by intra. venous injection of streptozotocin (35 mg/kg/day) in RICO rats which is a spontaneous animal model for hyperlipidemia. Our models (STZ RICO) showed hyperglycemia, persistent high level of plasma cholesterol and triglyceridemia with severe diabetic renal changes until 28 weeks after induction of diabetes. STZ-RICO rats could be used for the evaluations of newly developed diabetic drugs.

• Nutrition Research and Practice
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• 제13권3호
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• pp.240-246
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• 2019

BACKGROUND/OBJECTIVES: Diabetes is diagnosed after an average of 10-12 years of diabetic development. Strict glycemic control in diabetic patients promotes the normalization of blood glucose and reduces cardiovascular diseases (CVDs) and diabetic complications. Therefore, early diagnosis in non-aware individuals is very important. SUBJECTS/METHODS: Clinical indices and nutrient intakes in Korean diabetic adults aged 19-64 years were examined according to the awareness of diabetes, using 2012 and 2013 Korea National Health and Nutrition Examination Survey (KNHANES) data. The aware group was defined as individuals who were aware of having diabetes from diagnosis by physician before the survey and the non-aware group as individuals who were not aware of having diabetes. RESULTS: The average age was higher in the aware group compared to the non-aware group in both men (P = 0.002) and women (P = 0.004). The prevalences of hypertension and dyslipidemia were not different between the two groups, but the diagnosis rate was significantly lower in the non-aware group. In the non-aware group, total and LDL-cholesterol were significantly higher (P < 0.001), the risk for total cholesterol over 240 mg/dL was 3.4 times (95% CI: 1.58-7.52) higher (P = 0.002) and the risk for LDL-cholesterol over 160 mg/dL was 4.59 times (95% CI: 2.07-10.17) higher (P < 0.001). The calorie intake of the female non-aware group was significantly higher compared to the female aware group (P = 0.033). CONCLUSION: The results suggested that the recommendation of screening test is necessary even for young adults. Studies on the methodology for early diagnosis of diabetes are also needed.

• International Journal of Computer Science & Network Security
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• 제21권9호
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• pp.19-30
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• 2021

Diabetes Mellitus (DM) is one of common chronic diseases leading to severe health complications that may cause death. The disease influences individuals, community, and the government due to the continuous monitoring, lifelong commitment, and the cost of treatment. The World Health Organization (WHO) considers Saudi Arabia as one of the top 10 countries in diabetes prevalence across the world. Since most of the medical services are provided by the government, the cost of the treatment in terms of hospitals and clinical visits and lab tests represents a real burden due to the large scale of the disease. The ability to predict the diabetic status of a patient without the laboratory tests by performing screening based on some personal features can lessen the health and economic burden caused by diabetes alone. The goal of this paper is to investigate the prediction of diabetic and prediabetic patients by considering factors other than the laboratory tests, as required by physicians in general. With the data obtained from local hospitals, medical records were processed to obtain a dataset that classified patients into three classes: diabetic, prediabetic, and non-diabetic. After applying three machine learning algorithms, we established good performance for accuracy, precision, and recall of the models on the dataset. Further analysis was performed on the data to identify important non-laboratory variables related to the patients for diabetes classification. The importance of five variables (gender, physical activity level, hypertension, BMI, and age) from the person's basic health data were investigated to find their contribution to the state of a patient being diabetic, prediabetic or normal. Our analysis presented great agreement with the risk factors of diabetes and prediabetes stated by the American Diabetes Association (ADA) and other health institutions worldwide. We conclude that by performing class-specific analysis of the disease, important factors specific to Saudi population can be identified, whose management can result in controlling the disease. We also provide some recommendations learnt from this research.

• 한국약용작물학회지
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• 제28권4호
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• pp.287-297
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• 2020

Background: Type II diabetes is considered as one of the common diseases. Bangpungtongseongsan (BPS) has been used as a traditional medicine for treating obesity and hypertension in Korea. According to previous reports, it has anti-obesity, anti-chronic asthma, anti-oxidant, and anti-inflammatory properties. However, the effects of BPS on type II diabetes have not yet been elucidated. Thus, in this sutudy, we evaluated the water extracts of BPS using type II diabetes animal models. Methods and Results: Each group was orally administered with BPS (170, 850 and 1,700 mg/kg) for approximately 13 weeks. A mixture of 150 mg/kg metformin and 10 mg/kg sitagliptin (MS) was used as a positive control. The glycated hemoglobin (HbA1c) and glucose levels, and hematological parameters including blood urine nitrogen, creatinine, low density lipoprotein and total cholesterol, were measured using blood samples. Treatment with 170 mg/kg BPS decreased the HbA1c and glucose levels in blood without affecting the weights of the animals. However, threatment with 1,700 mg/kg BPS reduced the weights and fatty liver, and increased the blood glucose level in type II diabetes animal models Conclusions: These results indicate that a low dose of BPS for 13 weeks, which reduces HbA1c and blood glucose levels, could be used for the treatment of type II diabetes. However, further studies are required to elucidate how active ingredients of BPS influence HbA1c and glucose levels in blood.

• 여성건강간호학회지
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• 제28권2호
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• pp.112-122
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• 2022

Purpose: The prevalence of osteoporosis in postmenopausal women is increasing, and diabetes patients have decreased bone density. Their health-related quality of life (HRQoL) is diminished by the resultant physical dysfunction and depression. The purpose of this study was to identify factors influencing HRQoL in postmenopausal women with diabetes and osteoporosis. Methods: This was a secondary data analysis of the Seventh Korea Health and Nutrition Examination Survey (2016-2018), which utilized a complex, multistage probability sample design. The participants in the study were 237 women with diabetes and osteoporosis. To evaluate the factors that influenced HRQoL, a complex-samples general linear model was constructed, and the Bonferroni correction was performed. Results: In this sample of women aged 45 to 80 years (mean±standard deviation, 71.12±7.21 years), the average HRQoL score was 0.83±0.18 out of 1.0. Factors influencing HRQoL were age (70s: t=-3.74, p<.001; 80s: t=-3.42, p=.001), walking for exercise more than 5 days a week (t=-2.83, p=.005), cerebrovascular disease (t=-8.33, p<.001), osteoarthritis (t=-2.04, p=.014), hypertension (t=2.03, p=.044), higher perceived stress (t=-2.17, p=.032), poor glycemic control (t=3.40, p=.001), waist circumference (t=-2.76, p=.007), sitting time per day (t=-2.10, p=.038), and a longer postmenopausal period (t=3.09, p=.002). Conclusion: In order to improve the HRQoL of postmenopausal women with osteoporosis and diabetes, it is necessary to implement intervention strategies that enable the effective management of chronic diseases, while preventing the complications of diabetes and minimizing stress through physical activity.

• 보건행정학회지
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• 제30권4호
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• pp.479-492
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• 2020

Background: As the prevalence of hypertension is increasing in Korea, the government is seeking policy actions to manage patients with hypertension more efficiently. In this paper, we aimed to identify factors associated with the use of medical care at hospitals among outpatients with hypertension. Methods: We analyzed a total of 15,040 cases of 3,877 outpatients with hypertension obtained from the Korea Medical Panel database from 2010 to 2016. The dependent variable was whether a patient with hypertension visited a hospital or not; and independent variables were the patient's various socio-demographic, health-related, and heath-status characteristics. We conducted a generalized linear mixed model analysis with logit link for all the cases and then conducted it stratified by gender. Results: As a result of a multivariable analysis, women were less likely than to visit at a hospital (odds ratio [OR], 0.44; 95% confidence interval [CI], 0.32-0.61) and people aged 65 years and older than those aged less than 65 years (OR, 0.71; 95% CI, 0.57-0.89). Residents in Busan, Ulsan, and Gyeongnam were more likely than those in than Seoul, Gyeonggi, Incheon, and Jeju to visit a hospital (OR, 1.40; 95% CI, 1.05-1.86). The likelihood of visiting a hospital was high in people belonging to a group of: the highest level of annual household income (OR, 1.73; 95% CI, 1.30-2.29); Medical care aid recipients (OR, 1.94; 95% CI, 1.34-2.83); people having three or more complex chronic diseases (OR, 1.59; 95% CI, 1.19-2.11); people having diabetes (OR, 1.81; 95% CI, 1.41-2.32); or people having ischemic heart disease or cerebrovascular disease (OR, 6.80; 95% CI, 5.28-8.76). Also, we found that factors associated with the use of medical care at hospitals among outpatients with hypertension differed between genders. Conclusion: A variety of factors seem to be associated with the use of medical care at hospitals among outpatients with hypertension. Future research needs to find a way to help patients with hypertension visit an appropriate medical institution between clinics and hospitals.

• Journal of Ginseng Research
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• 제46권2호
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• pp.188-205
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• 2022

Panax ginseng is a medicinal plant is a material with various pharmacological activities and research suggests that it is particularly effective in representative metabolic diseases such as hyperglycemia, hypertension, and hyperlipidemia. Therefore, in this study, systematic review and meta-analysis were performed to investigate the comprehensive effect of P. ginseng on metabolic parameters representing these metabolic diseases. A total of 23 papers were collected for inclusion in the study, from which 27 datasets were collected. The investigational products included P. ginseng and Korean Red ginseng. Across the included studies, the dose ranged from 200 mg to 8 g and the supplementation period lasted from four to 24 weeks. The study subjects varied from healthy adults to those with diabetes, hypertension, obesity, and/or hyperlipidemia. As a result of the analysis, the levels of glucose and insulin area under the curves, % body fat, systolic and diastolic blood pressures, total cholesterol, triglycerides, and low-density lipoprotein cholesterol were significantly reduced in the P. ginseng group as compared with in the placebo group. In conclusion, P. ginseng supplementation may act as an adjuvant to prevent the development of metabolic diseases by improving markers related to blood glucose, blood pressure, and blood lipids.