• Journal of Obesity & Metabolic Syndrome
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• v.27 no.4
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• pp.262-263
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• 2018

• Proceedings of the KSCN Conference
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• 2005.10a
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• pp.72-72
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• 2005

• Korean Journal of Digital Imaging in Medicine
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• v.10 no.1
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• pp.51-58
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• 2008

Obesity which causing many physical and psychological problems is difficult to treatment. The purpose study was investigate relationships between weight, height, body mass index (BMI) and BMD of according to the low, normal, over, obesity, high group. According to obesity index, each group was divided into five proup. Study subjects were man(n=135) and woman(n=145). We checked the BMD of femoral neck and lumbar spine by using dual energy X-ray bone densitometry. Weight was positively correlation with height (p<0.05) by Pearson's correlation matrix. There was a significant difference in BMD of femoral neck and lumbar spine between four(low, normal, over, obesity) groups except for high obesity groul.

• Journal of Korean Medicine for Obesity Research
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• v.21 no.2
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• pp.105-111
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• 2021

This study is reporting the clinical effect of herbal medicine for Class III obesity. A 34-year-old man with body mass index (BMI) 44.1 kg/m² was diagnosed to Class III obesity. We prescribed herbal medicine (Gambi-hwan) for 60 days. Self controlled low calorie diet and slight aerobic exercise were concomitantly performed during the treatment period. Body weight decreased from 152.4 kg to 128.1 kg. BMI decreased from 44.1 kg/m² to 37.0 kg/m². Visceral fat area decreased from 276 cm² to 195 cm². Percent of excess weight loss was 58.40% after treatment. A Class III obesity patient showed significant weight loss with herbal medicine as single Korean medicine treatment.

• Journal of the Korean Society of School Health
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• v.21 no.2
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• pp.61-73
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• 2008

Purpose: Several health behavior factors affect the incidence of type 2 diabetes. Especially, obesity, which causes insulin resistance, is the most important determinant of diabetes. Therefore, we expect the risk factors associated with insulin resistance and type 2 diabetes are affected by obesity and, additionally, the related factors with diabetes caused by obesity can be controlled. Methods: This study used data collected from the 2001 Korea National Health and Nutrition Examination Survey (KNHANES). A stratified multistage probability sampling method was applied and the final sample included 5,500 subjects over 30 years old who had completed necessary health examinations and health behaviors survey. Results: The risk factors associated with type 2 diabetes are affected by obesity. According to logistic regression model stratified by body mass index (BMI) and sex, abdominal obesity and age were the significant risk factors of diabetes regardless of sex and BMI. However, drinking, smoking, total energy consumption, and protein consumption were risk factors for women with normal BMI, while carbohydrate consumption was a risk factor for man with normal BMI. Sleeping hours affected diabetes for women with obesity and fiber consumption was a risk factor for both women and men with obesity. In addition, statistically the family history of diabetes was a significant risk factor only in the group with normal weight, not in the group with obesity. Conclusion: The study results will provide information for implementing a regional initiative of type 2 diabetes prevention by BMI.

• Korean Journal of Clinical Laboratory Science
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• v.45 no.3
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• pp.96-101
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• 2013

Increased waist circumference has shown to be more strongly associated with cardiovascular disease risk factors. The purpose of this study is to investigate the association between exercise capacity and cardiovascular risk factors among obese types in adult men. The subjects of this study were a total fifty-four obese persons and obesity criteria is body mass index $(BMI){\geq}25kg/m^2$. Diagnostic criteria for obesity was defined as a waist circumference of ${\geq}90cm$. The BMI in the obese subjects, as judged by the presence or absence of abdominal obesity, were classified into two groups (non-AO: without abdominal obesity group, AO: with abdominal obesity group). AO presented lower total exercise time, metabolic equivalents (METs) than Non-AO. AO showed slow HRR (heart rate recovery) response. HRR was negative correlated with BMI, body fat mass, waist circumference. AO had a high heart rate and a low cardiac output in submaximal exercise stage 1~2. In conclusion, AO's (with abdominal obesity groups) total exercise time, METs and HRR are lower than Non-AO. HRR is related with BMI, body fat mass and waist circumference.

• Journal of Nutrition and Health
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• v.26 no.9
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• pp.1071-1084
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• 1993

This study was performed to investigate the relationships between obese index and major risk factors of cardiovascular disease in CVD patients. Anthropometry, food intake patterns, blood pressure, serum lipids and hematological values were analyzed in 550 patients from June, 1991 to August, 1992. The results are as follows: Total food intakes, especially total vegetable food and alcohol intakes were significantly related with obese index, so that the heavier patients tended to consume more carbohydrate and less fat. The blood pressure were observed to have positive correlation with obese index in man but not in women. However, both in men and women, blood levels of TG, TC, and VLDL tended to be related to obese index positively, while HDL and HDL-C were shown to be oppositive. So, it seems that as the degree of obesity is higher the blood pressure and blood lipids patterns worse. Therefore, these results suggest that obesity is one of the major risk factors of CVD, and for prevention & treatment of the disease, controlling body weight by nutritionally adequate diet along with alcohol restriction is necessary.

• Journal of Korean Medicine for Obesity Research
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• v.6 no.2
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• pp.59-73
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• 2006

Objectives: This study was conducted to investigate the effects of Uncoupling protein (UCP) polymorphisms on weight loss. We analyzed associations between polymorphisms of UCP-2, 3 and changes in percentage of obesity phenotypes (Body mass index and percent body fat) after treatment. Materials and Methods: A total of 207 Korean women (BMI over 25) were recruited from the obesity clinic in Kirin Oriental Medical Hospital (Seoul, Korea). All patients were treated with a very low calorie diet and oriental medical therapy for one month. The effect of UCP polymorphisms on changes in obesity-phenotypes were analyzed. For the genotyping of a single nucleotide polymorphism (SNPs), genomic DNA from each subject was extracted from whole blood and genotyped using the TaqMan Method. Associations between changes in percentage of obesity phenotypes (BMI and percent body fat) and UCP polymorphisms were analyzed using age-adjusted general linear model. Results and Conclusions: In this study, AG, GG type of UCP-2 -866A>G, CC, CT type of UCP-2 +4787C>T, CG, GG type of UCP-3 +2564C>G, AG, GG type of UCP-3 +3106A>G, and TC, CC type of UCP-3 +4589T>C played a role as a resistance gene to weight loss.

• Journal of Korean Medicine for Obesity Research
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• v.3 no.1
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• pp.7-16
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• 2003

Objectives : The lipolytic effects of catecholamines in adipose tissue are mediated by members of adrenergic receptors. This study was conducted to examine the effects of ${\beta}2-AR$ Gln27Glu (Q27E) polymorphism on obesity indices and risk among obesity clinic patients. Methods : 532 subjects, 38 men and 494 women, who attended a weight loss program in a local obesity clinic were analyzed. Height, weight, BMI, WHR and obesity index were measured or calculated. Body composition was measured by bio-impedance analysis. Genotype of ${\beta}2-AR$ polymorphism in codon 27 was analyzed by PCR-RFLP method. Serum concentrations of fasting glucose, total and HDL cholesterol, and triglyceride were determined by autobiochemical analyzer. Results: The Genotype distributions of ${\beta}2-AR$ gene were QQ type 81.3%, QE type 17.9% and EE type 8%. Therefore, the frequency of E allele of ${\beta}2-AR$ gene was 0.170 in the total subjects. The frequency of the ${\beta}2-AR$ variant genotype(QE+EE) was significantly higher in obese group($BMI{\geqq}25$) compared with non-obese group(p=0.027). Weight was significantly higher in variant(QE+EE) type compared with normal(QQ) type in total subjects(p=0.001), male(p=0.022) and female(p=0.013). BMI, obesity index and WHR were also significantly higher in QE+EE type. Body fat man was significantly higher in QE+EE type in total subjects(p=0.005) and female(p=0.027). When forward stepwise regression analysis was used to create a model of risk predictors of obesity($BMI{\geqq}25$), QE+EE type of ${\beta}2-AR$ gene was found to be a significant risk factor for obesity (p=0.042, ORs 1.597). Conclusions: QE+EE genotype of ${\beta}2-AR$ was associated with increased obesity indices and might be a significant risk factor for obesity.

• Culinary science and hospitality research
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• v.20 no.5
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• pp.84-92
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• 2014

Present study classified body composition to 4 groups categorized as sarcopenic obesity (SO), sarcopenic nonobesity (SNO), nonsarcopenic obesity (NSO), and nonsarcopenic nonobesity (NSNO) and then was performed to investigate that body composition associated with food consumption frequency as well as MS in individual aged 60 years or older. Body mass index and an appendicular skeletal muscle mass (ASM) divided by weight (Wt) of < 1 standard deviation (SD) below the sex-specific mean for young adults were used to define obesity and sarcopenia. A total of 1,433 subjects (658 male and 775 females) 60 years or older from the fifth Korea National Health and Nutritional Examination Survey 2010 participated in this study. One of the interesting findings was that the association of the prevalence of MS with body composition was higher in women than man. Other finding was that there were different food frequency and food preference according to 4 different groups between men and women. In addition, men are much more influenced by food than women. In conclusion, body composition changes were more related with food frequency in elderly men (60 years or older) than women. Women had a higher prevalence of MS than men, suggesting early nutritional intervention in elderly women may help them prevent body composition changes.