• 한국의류학회지
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• 제34권6호
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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.

• 대한지역사회영양학회지
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• 제29권3호
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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.

• 한국산학기술학회논문지
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• 제15권6호
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• pp.3894-3906
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• 2014

본 연구는 정밀실측이 이루어진 국가지정문화재 중 사찰의 주불전을 대상으로 맞배지붕 건물과 합각지붕 건물로 구분하여 지붕에서 나타나는 앙곡, 안허리곡, 용마루곡과 지붕기울기를 분석하였다. 그 결과 는 다음과 같다. 첫째, 맞배지붕 건물의 앙곡과 안허리곡은 건물규모(면적), 내부 고주 유무 등과 밀접한 상관관계가 있다. 또한 5량가 구조와 7량가 구조중에 규모가 큰 7량가 구조에서 더 크게 나타났다. 둘째, 맞배지붕 건물의 앙곡과 안허리곡은 서로 상관관계가 있는데 앙곡이 큰 건물에서 안허리곡도 크게 나타난 것으로 분석되었다. 지붕기울기는 변수요인(평면요소, 입면요소, 단면요소)과는 크게 연관성이 없으며, 앙곡, 안허리곡, 용마루곡 크기는 공포의 외1출목과 외2출목에서 비슷한 크기였으나, 외3출목에서는 상대적으로 크게 나타났다. 셋째, 합각지붕 건물의 앙곡과 안허리곡은 맞배지붕 건물과는 다르게 서로 상관관계 없었는데, 전면과 측면은 서로 상관관계를 가지며 전면의 곡이 크게 나타난 건물에서는 측면에서도 크게 나타났다. 넷째, 합각지붕 건물 내부에 고주가 있는 건물은 앙곡과 안허리곡이 크게 나타난 반면, 고주가 없는 건물에서는 작게 나타났으며, 용마루곡은 건물규모와 건물높이에 밀접한 연관성이 있어, 건물이 높거나 큰 건물에서 용마루곡이 크게 나타났다. 지붕기울기는 맞배지붕 건물에서와 같이 변수요인과는 상관관계가 거의 없었다.

• Clinical and Experimental Pediatrics
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• 제56권12호
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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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• 제13권2호
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• pp.180-192
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• 2010

목 적: 2005년 소아청소년 신체 계측조사의 원자료를 분석하여, 비만을 진단하기 위한 WHTR 최적 절단값을 구하고, 허리둘레와 BMI 기준과 비교하여, 성별, 연령별 참고치를 필요로 하지 않는 간편한 단일지표로서 WHTR의 유용성을 알아보고자 하였다. 방 법: 2005년 소아청소년 신체 계측조사 자료에서 신장, BMI, 허리둘레를 사용하였고 이를 통해 WHTR 값을 구하여 분석하였다. WHTR이 연령에 구애받지 않고 적용이 가능한 범위를 선정하기 위해 2~5세, 6~18세의 연령군으로 나누어 연령과의 상관성을 분석하였다. 6~18세의 소아청소년에서, ROC분석을 시행하여 비만 진단 지표로서 WHTR, 허리둘레의 정확도를 비교하였고, BMI로 정의한 과체중과 비만을 진단하기 위한 WHTR의 최적 절단값을 구하였다. 통계 분석은 SAS, STATA 통계프로그램을 이용하였다. 결 과: 1. WHTR은 연령과 유의한 음의 상관관계를 나타냈다(p~0.0001). 특히, 6~18세 연령군에서 2~5세 연령군에 비해 연령에 따른 WHTR의 변화의 폭이 작았고, 연령과의 상관성이 더 약하였다(남아 r=.0.16 vs .0.53, 여아 r=.0.14 vs .0.56). WHTR은 6~18세에서 허리둘레에 비해 연령과의 상관성이 더 약하였다(남아 r=.0.16 vs 0.66, 여아 r=.0.14 vs 0.65). 2. BMI로 정의한 비만과 과체중군을 진단하는 데 있어서 WHTR의 AUC가 허리둘레의 AUC에 비해 유의하게 더 컸고, 정확도가 더 좋았다(p<0.0001). 3. 연령에 구애받지 않는 WHTR의 최적 절단값을 구하기 위하여 6~18세의 연령군에서 ROC 분석을 시행하였다. 비만군(BMI 95 백분위수 이상)에 해당하는 최적 절단값은 남아 0.51, 여아 0.49, 과체중 및 비만군(BMI 85 백분위수이상)에 해당하는 최적 절단값은 남아 0.48, 여아 0.47이었다. BMI 백분위수와 무관하게 아시아 성인 비만의 기준인 BMI 25 kg/$m^2$ 이상을 적용하였을 때, 최적 절단 값은 남아 0.49, 여아 0.48이었다. 모든 값은 AUC 0.9 이상으로 매우 정확한 지표였다. 4. 비만군을 진단하는데 있어서 WHTR 최적 절단값과 허리둘레${\geq}$90백분위수를 비교했을 때, WHTR의 민감도가 더 좋았다. 결 론: 본 연구에서는 6~18세 소아청소년에서 성별, 연령별 참고치를 찾을 필요가 없으며, 연령에 따른 상관성이 약하여 허리둘레보다 민감하고, 비만을 조기에 선별할 수 있는 실용적 기준으로 WHTR (남아 0.51, 여아 0.49)을 제시하였다. WHTR은 일반인도 쉽게 사용 할 수 있어, 비만을 조기에 선별하고 중재하는데 유용할 수 있다.

• 한국의류학회지
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• 제34권6호
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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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• 제26권2호
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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.

• 동의생리병리학회지
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• 제18권5호
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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.

• 한방재활의학과학회지
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• 제20권4호
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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.

• 한국식품영양과학회지
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• 제36권3호
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• pp.318-326
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• 2007

본 연구에서는 대구 경북지역 20, 30대 남성근로자 224명을 대상으로 BMI에 따른 신체적 특성, 건강상태를 조사하였다. BMI는 20대 $23.67\;kg/m^{2}$, 30대 $23.95\;kg/m^{2}$로 조사대상자 모두 대한비만학회에서 제시한 정상 범위인 $18.5{\sim}23\;kg/m^{2}$에서 벗어난 과체중으로 조사되었다. BMI에 따른 신체적 특성은 체중, 이상체중비율, BMI 모두에서 유의적인 차이(p<0.001)를 나타냈다. 그리고 신체둘레 측정 결과 허리 둘레, 엉덩이 둘레, 허리/엉덩이 둘레비는 비만군, 과체중군, 정상군 순으로 유의적인 차이(p<0.001)를, 허리/엉덩이 둘레는 30대가 20대보다 크게(p<0.01)나타났다. 체구성성분 측정 결과 체지방률{body fat(%)}과 체지방량{body fat(kg)}은 비만군, 과체중군, 정상군 순으로 유의적인 차이(p<0.001)를 보였다. BMI가 증가함에 따라 관리요망군과 질환의심군의 비율이 유의적으로(p<0.001) 증가하였고, 평균 혈압은 비만군이 정상군 및 과체중군보다 높은 유의적인 차이(p<0.001)가 있었으며, 공복시 혈당은 30대가 20대보다 높은 유의적인 차이(p<0.05)를 보였다. 간질환의 유무를 알 수 있는 지표인 SGOT, SGPT 및 $\gamma-GTP$는 BMI별로 보면 비만군은 정상군 및 과체중군보다 높아 유의적인 차이(SGOT, SGPT; p<0.001, $\gamma-GTP$; p<0.01)를 보였으며 비만군의 SGOT는 43.58 U/L로 정상범위에서 벗어났다. $\gamma-GTP$를 연령별로 보면 30대가 34.74 U/L로 정상군에는 속하지만 20대의 28.06 U/L보다 높은 유의적인 차이(p<0.05)를 보였다. 건강상태와 음주 및 흡연 유무에 따른 생화학적 상태를 살펴보면, 건강상태에 따른 수축기혈압은 관리요망군, 질환의심군, 정상군 순으로 유의적인 차이(p<0.01)를 보였으며, 확장기혈압, 총콜레스테롤, 공복 시 혈당, SGOT, SGPT 및 ${\gamma}-GTP$는 정상군 및 관리요망군과 질환의심군 간에 유의적인 차이(p<0.001)를 보였다. $\gamma-GTP$는 음주 근로자가 33.79 U/L, 비음주 근로자가 26.64 U/L로 집단 간의 유의적인 차이(p<0.05)를 보였고, 수축기 혈압과 헤모글로빈은 각각 흡연 근로자가 124.65 mmHg, 15.82 g/dL이고, 비흡연근로자는 120.43 mmHg, 15.38 g/dL로 나타나 집단 간의 유의적인 차이(p<0.01)를 보였다. 체중이 많이 나갈수록 BMI, 이상체중비율(%), 허리둘레 및 엉덩이둘레, 허리/엉덩이 둘레비, 체지방량, 체지방률(%)이 높으며, 이에 따라 수축기혈압과 확장기혈압, 총콜레스테롤, 공복 시 혈당, SGOT, SGPT, $\gamma-GTP$ 모두 높아진다(p<0.001, p<0.01, p<0.05). 이상의 결과를 종합해보면, 조사대상자인 20, 30대 남성 근로자 대부분이 과체중에 속하며, 체중이 증가할수록 BMI, 허리둘레, 엉덩이둘레, 체지방률(%) 등이 증가하고 BMI가 높아질수록 수축기혈압과 이완기혈압, SGOT, SGPT, $\gamma-GTP$ 등의 생화학적 수치들이 높아져 건강상태가 좋지 않게 된다. 음주와 흡연 역시 혈압, $\gamma-GTP$ 등을 높여 건강상태 악화에 한 몫을 하는 것으로 나타났다. 따라서 20, 30대 남성근로자들의 연령 및 비만도의 증가에 따라 건강상태가 나빠지며 성인병 유병률의 가능성이 높아짐을 인식하고, 이러한 건강 위험요인들을 개선할 수 있는 노력이 필요할 것이라 사료된다. 정기적인 건강검진과 더불어 규칙적인 운동과 음주, 흡연, 업무 과중, 스트레스와 같은 생활습관 및 불규칙한 식습관을 개선할 수 있는 방안의 모색이 요구된다.