• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.6
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• pp.937-954
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• 2010

This study analyzes the body characteristics of Korean obese women using 2004 Size Korea data. For selecting the obesity sample, 7 obesity judgment indices were chosen from previous clothing-related studies. A total of 636 females defined as "obese" by 5 out of 7 indices were selected as subjects for this study. 54 body measurements and obesity judgment indices were used. First, the subjects had a BMI 27.11, R$\ddot{o}$hrer index 1.76, Vervaeck index 104.77, Relative weight 133.00, and WHR 0.90. In the case of the distribution by age groups, the twenties were 6.4% of the entire subjects, the thirties were 18.2%, the forties were 16.4%, the fifties were 37.4%, and the sixties were 21.5%. The result of the ANOVAs (divided into 5 age groups) showed significant differences in 41 measurement items except for bust circumference, waist length front, and all of obesity judgment indices. Second, according to the ANOVAs among stature groups divided by 5cm pitches there are significant differences in all measurements except for bust circumference. The results of the ANOVAs among bust circumference groups divided by 5cm pitches show that significant differences were observed in all measurements except four measurement items (including body rise). According to the ANOVAs among the waist circumference groups divided by 5cm pitches, there are no significant differences in all height measurements and shoulder length, waist to hip length, and crotch length. It is confirmed that stature and bust circumference have a deep relationship with measurements other than waist circumference. Third, as the factor analysis were conducted using 39 measurement items to extract the body characteristics of obese women Factor 1 is "circumference measurements & obesity judgment indices," Factor 2 is "heights & arm-related lengths," and Factor 3 is "size and ratio of waist circumference & hip circumference." Factor 4 was "lengths in upper body," Factor 5 was "back width in upper body," Factor 6 was "side neck point to bust & bust circumference," Factor 7 was "length in lower body & arm circumferences," and Factor 8 was "neck base circumference & front widths in upper body." These 8 factors explained 76.54% of the total variance.

• Korean Journal of Community Nutrition
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• v.29 no.3
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• pp.212-221
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• 2024

Objectives: Metabolic disease is strongly associated with future insulin resistance, and its prevalence is increasing worldwide. Thus, identifying early biomarkers of metabolic-related disease based on serum profiling is useful to control future metabolic disease. Our study aimed to assess the association of serum branched chain amino acids (BCAAs) and aromatic amino acids (AAAs) ratio and metabolic disease according to body mass index (BMI) status among Korean adults. Methods: This cross-sectional study included 78 adults aged 20-59 years in Korea. We compared serum amino acid (AA) levels between adults with normal-weight and adults with obesity and investigated biomarkers of metabolic disease. We examined serum AA levels, blood profile, and body composition. We also evaluated the association between serum AAs and metabolic-related disease. Results: The height, weight, BMI, waist circumference, hip circumference, waist-hip-ratio, body fat mass, body fat percent, skeletal muscle mass, systolic blood pressure, and diastolic blood pressure were higher in the group with obesity compared to normal weight group. The group with obesity showed significantly higher levels of BCAA, AAA, and BCAA and AAA ratio. Further, BCAA and AAA ratio were significantly positively correlated with triglyceride, body weight, and skeletal muscle mass. The evaluation of metabolic disease risks revealed an association between the ratios of BCAAs and AAAs, hypertension, and metabolic syndrome. Conclusions: Our study is showed the associations between BCAA and AAA ratio, obesity, and obesity-related diseases using various analytical approaches. The elevated BCAA and AAA ratio could be early biomarkers for predicting future metabolic diseases in Korean population.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.6
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• pp.3894-3906
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• 2014

The aim of this study was to classify the central Buddhist temple among the state-designated cultural assets, which were measured precisely, into the gable roof buildings and the gambrel roof buildings to analyze the Ang-Goak, Inside waist, ridge ratio, and roof inclination represented on the roof, and prepare basic objective material for the restoration and repair of cultural assets. As a result, as for the relationship between the roof curve and the inclination of the gable roof building and gambrel roof building, the following conclusions could be drawn. First, the Ang-Goak and Inside waist of the gable roof building had a close correlation with the building size, and the internal high pillar existence. In addition, the Ang-Goak and Inside waist were shown in the 7-ryangga structure, which is greater in size than in the 5-ryangga structure. This was found to be related to the building size. Second, the Ang-Goak and Inside waist of the gable roof building has a correlation with each other, and it was found that Inside waist also was large in the building with a larger Ang-Goak. The roof inclination rarely had a connection with variable factors (plane factor, elevation factor, and cross section factor). The sizes of Ang-Goak, Inside waist, and ridge ratio were similar in the outside 1 chulmok and outside 2 chulmok of gongpo but those sizes were relatively larger in outside 3 chulmok. Third, the Ang-Goak and Inside waist of the gambrel roof building moved independently for each building without a correlation with each other, unlike the case of the gable roof building. The front and the side showed a correlation with each other, and in the building with the large curve of the front side, the curve was also large in the sides. Fourth, in the case of the building with a high pillar inside the gambrel roof building, the Ang-Goak and Inside waist were larger. On the other hand, they were smaller in the case of a building without a high pillar. This was found to have a close relationship with the building size. In addition, the ridge ratio has a close connection with the building size and building height. Therefore, the ridge ratio is larger in a high building or large sized building. The roof inclination rarely has a correlation with variable factors, as in the case of the gable roof building.

• Clinical and Experimental Pediatrics
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• v.56 no.12
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• pp.526-533
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• 2013

Purpose: Obesity is an important risk factor for hypertension in adolescents. We investigated the relationship of obesity-related indices (body mass index [BMI], waist-to-height ratio [WHR], and body fat percentage [%BF]) with blood pressure and the hemodynamic determinants of blood pressure in Korean adolescents. Methods: In 2008, 565 adolescents, aged 12-16 years, were examined. The %BF of the participants was measured by bioelectrical impedance analysis. Echocardiography and brachial artery pulse tracing were used to estimate the stroke volume (SV), cardiac output (CO), total vascular resistance (TVR), and total arterial compliance (TAC). Results: We noted that BMI, WHR, and %BF were positively correlated with systolic blood pressure (SBP) and diastolic blood pressure (DBP). The positive correlation between BMI and blood pressure (SBP and DBP) persisted after adjustment for WHR and %BF. However, after adjustment for BMI, the positive associations between blood pressure (SBP and DBP) and WHR as well as %BF, were not noted. With regard to the hemodynamic factors, BMI, but not WHR and %BF, was an independent positive factor correlated with SV and CO. TVR had an independent negative association with BMI; however, it was not associated with WHR or %BF. Moreover, we noted that BMI, WHR, and %BF did not affect TAC. Conclusion: In Korean adolescents, BMI had an independent positive correlation with SBP and DBP, possibly because of its effects on SV, CO, and TVR. WHR and %BF are believed to indirectly affect SBP and DBP through changes in BMI.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• v.13 no.2
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• pp.180-192
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• 2010

Purpose: To evaluate the feasibility and usefulness of the waist circumference-to-height ratio (WHTR) in screening for obesity in Korean children and adolescents. Methods: Data, including body mass index (BMI), waist circumference (WC), and height, were obtained from the national growth surveys for children and adolescents in 2005. The WHTR was calculated dividing WC by height in subjects 2~18 years of age. Overweight and obese were defined by BMI percentiles for age and gender. The receiver operating characteristic (ROC) analysis was performed to find out the optimal cutoff values of WHTR that matched BMI-determined overweight and obesity using the STATA program. The area under the curve (AUC), a measure of diagnostic power, of WHTR was compared to WC. The influence of age on WHTR was analyzed by the SAS program. Results: The WHTR significantly decreased with age, and had less correlation with age in the 6~18-year-old age group than the 2~5-year-old age group. Furthermore, the WHTR also had less correlation with age than WC in the 6~18-year-old age group. The AUC of WHTR in identifying overweight and obesity was significantly higher than the AUC of WC in the 6~18-year-old age group. The optimal cutoff values were 0.51 in boys and 0.49 in girls for obesity, and 0.48 in boys and 0.47 in girls for overweight, with all having the AUC>0.9. The optimal cutoff values of WHTR had a higher sensitivity for diagnosing obesity than WC${\geq}$90th percentiles. Conclusion: The WHTR is an easy, accurate, and less age-dependent index with high applicability in screening for obesity in children and adolescents.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.6
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• pp.982-996
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• 2010

This study classified the body shapes of Korean obese women and investigated the differences of each body shape, using 2004 Size Korea data. For selecting the obesity sample, 7 obesity judgment indices were chosen through previous clothing-related studies. A total of 636 females defined as "obese" by 5 out of 7 indices were selected as subjects and 54 body measurements and obesity judgment indices were used in this study. Firstly, mean, standard deviation, minimum, and maximum values of each measurement and item were obtained from the descriptive analysis of 53 measurements. According to the descriptive analysis, all measurements and obesity judgment indices of the subjects demonstrated a serious obesity level shown by BMI 27.11, R$\ddot{o}$hrer index 1.76, Vervaeck index 104.77, Relative weight 133.00, WHR 0.90, and waist circumference 86.71cm. In addition, the measurements and indices showed considerable differences between minimum and maximum values. Significant differences were identified in all measurements and items at a significant level, p=.001. Each distribution of body types according to age, stature, bust, and waist circumference groups was provided in this study. Secondly, factor analyses were conducted using 38 measurement items to extract the body characteristics of obese women. Factor 1 was "circumference measurements & obesity judgment indices," Factor 2 was "heights & arm-related lengths," and Factor 3 was "size and ratio of waist circumference & hip circumference." Factor 4 was "lengths in upper body," Factor 5 was "back width in upper body," Factor 6 was "side neck point to bust & bust circumference," Factor 7 was "length in lower body & arm circumferences" and Factor 8 was "neck base circumference & front width in upper body." These 8 factors explained 76.54% of the total variance. Finally, 5 body types were selected in the cluster analysis. Type 1 (with big back widths & arm circumferences) was 15.5% of the entire subjects, Type 2 (the shortest and fattest, with big upper body) was 18.8%, Type 3 (with big breast) was 27.8%, Type 4 (the tallest and longest in arm lengths, with the smallest arm circumferences and lengths in torso) was 22.5%, and Type 5 (with big hips compared to waist circumferences, smaller height and upper body) was 15.5%. Fundamental differences were identified in all measurements and items at the significant level of p=.001. In addition, each distribution of body type according to age, height, bust, and waist circumference groups was provided in this study.

• Journal of Acupuncture Research
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• v.26 no.2
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• pp.171-179
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• 2009

Objectives: The purpose of this study was to investigate the changes of obesity, blood composition and physical ability in obese children on body weight control program. Methods : The body weight control program included exercise, nutrition education and auricular acupuncture was performed 4 times a week during 12 weeks. 32 obese children whose body fat ratio were over 30% participated in this study. Measuring materials were body composition(weight, muscle mass, fat mass, fat ratio, BMI), physical measurement(height, waist circumference, chest circumference, hip circumference), physical ability(grip strength, sit-ups, sitting trunk flexion, sit-down stand-up test, standing long jump, opened eyes foot balance, side step), blood composition(WBC, Hb, ESR, Total Cholesterol, TG, GOT, GPT, BUN, Creatinine, Glucose) and survey(changes of eating habits, changes of living habits, knowledge of obesity, self-confidence, self-esteem). Results : From the results, positive changes were made in BMI, height, waist circumferences, chest circumferences, hip circumferences, sit-ups, sitting trunk flexion, sit-down stand-up test, standing long jump, opened eyes foot balance, side step, Hb, ESR, GOT, GPT and changes of eating habits through the body weight control program. Conclusions : This results suggest that body weight control program including exercise, nutrition education and auricular acupuncture may be effective for helping obese children.

• Journal of Physiology & Pathology in Korean Medicine
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• v.18 no.5
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• pp.1426-1436
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• 2004

There have been several reports on the relationship between G protein β3 subunit gene (GNB3), angiotensin converting enzyme gene (ACE), β3-adrenergic receptor gene (ADRB3), and β2-adrenergic receptor gene (ADRB2) genotype and obesity or obesity related disease. The objective of this study was to examine the relationship between the combinations of these four genes' polymorphism and probability of obesity related disease in Korean female subjects. The experimental group was consisted of 85 obese Korean female subjects (body mass index, BMI≥27㎏/㎡). To determine the polymorphism, genomic DNA was isolated, and PCR was performed. Serological examinations (fasting plasma glucose, FPG; aspartate aminotranferase, AST; alanine aminotransferase, ALT; total cholesterol, TC; triglyceride, TG; high density lipoprotein-cholesterol, HDL; low density lipoprotein-choles terol, LDL) were carried by an autoanalyzer and serological methods. BMI, waist circumference (WC), hip circumference and waist hip ratio (WHR) were measured. Consequencely in the analysis with grouping of general genotyping and variant allele carrier/non-carrier, the result was not significantly different within all gene combinations and polymorphic pairings except higher waist circumference in Arg16Arg group of ADRB2 codon16 (P=0.024). And there was no significantly contrast result about age, height, weight, AST and ALT that are index feature of liver and gall bladder disease in polymorphic pairings of gene combinations. However, the statistical analysis of waist-hip ratio and waist circumference that could be recognized as the physical type of obesity showed T-Arg16 pairing carrier in GNB3-ADRB2 codon16 combination had increased WHR and WC significantly (P=0.046 and P=0.015 respectively). Futhermore, the levels of total cholesterol (TC) and low density lipoprotein choresteral (LDL) were significantly lower in C-I pairing of GNB3-ACE combination (P=0.032 and P=0.005). These results suggest that the T-Arg16 pairing carrier in GNB3-ADRB2 codon16 gene might have increased waist circumference and C-I pairing carrier in GNB3-ACE combination have lower possibility of contraction of cardiovascular disease related cholesterol and LDL despite of obese state.

• Journal of Korean Medicine Rehabilitation
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• v.20 no.4
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• pp.197-213
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• 2010

Objectives : The clinical trial was designed to investigate the safety and effects of Taeeumjowui-tang(Taiyintiaowei-tang) extracts on the change of the weight, body compositions, serum in obese patients. Methods : This was a 12-weeks, randomized, double blind, placebo-controlled clinical trial. Patients with a body mass index of either greater than $30kg/m^2$ or between 27 and $30kg/m^2$ with controlled hypertension, diabetes, hyperlipidemia were considered eligible. Participants of 41 obese patients were randomized either to Taeeumjowui-tang(Taiyintiaowei-tang)(23) or placebo(18). After 12 weeks of treatment, we measured anthropometric factors(weight, height, waist circumference, BMI(body mass index) etc.), abdominal fat area by CT(computed tomography)scanning, serum lipid(total cholesterol, tryglyceride, HDL-cholesterol, LDL-cholesterol), blood lever of variety(AST, ALT, BUN, creatinine etc.). Adverse events also evaluated. Results : After 12 weeks of treatment mean weight, waist-circumference, total cholesterol, LDL-cholesterol and score of KEAT-26 were significant changed in Taeeumjowui-tang(Taiyintiaowei-tang). There were no serious adverse events in either groups. Conclusions : There were limited in this study that is conducted within a short period of 12 weeks. but its weight and WC(waist circumference), WHR(waist hip ratio), total cholesterol, LDL-cholesterol and score of KEAT-26 loss effect was significant and it had few adverse events.

• Journal of the Korean Society of Food Science and Nutrition
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• v.36 no.3
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• pp.318-326
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• 2007

The purpose for this study was to investigate the health status according to the age and BMI by interviewing male workers in their twenties and thirties in the Daegu Gyeongbuk region. The body measurement was assessed by height, weight, BMI, body circumference (waist, hip), waist-hip ratio and body fat mass. The health status has been analyzed and assessed as normal group, health concerned group and health suspected groups. Weight, percent ideal body weight (PIBW), BMI and body circumference (waist, hip) and waist-hip ratio was proven higher according to the order of obese group, overweight group and normal group. Waist-hip ratio was proved to be higher in the thirties group than the twenties. Body fat mass was higher in the obese, overweight and normal groups. In the concerns of health status, the ratio of health concerned group and health suspected group increased according to the increase of BMI. Blood pressure (SBP, DBP) was higher in the obese group than in the normal group and overweight groups, and blood glucose was higher in the thirties than in the twenties. SGOT, SGPT, ${\gamma}-GTP$ has been proven higher in the obese group than in the normal group and overweight group, ${\gamma}-GTP$ was higher in the thirties than in the twenties. Investigating the correlation of the anthropometric characteristics and biochemical characteristics, the heavy weight resulted in heavier BMI, PIBW, body circumference (waist, hip), waist-hip ratio and higher body fat mass. Blood pressure (SBP, DBP), total cholesterol, blood glucose, SGOT, SGPT and ${\gamma}-GTP$ all became higher according to these influences. In conclusion, male workers have to recognize that health status becomes worse and possibilities of chronic disease prevalence rate increases according to aging and the increase of BMI. Accordingly, it is necessary to make an effort to prevent chronic diseases.