• Clinical and Experimental Pediatrics
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• v.50 no.7
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• pp.629-635
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• 2007

Purpose : This study was conducted to assess the usefulness of fat-free mass index (FFMI) and fat mass index (FMI) as novel expression methods of body composition in children. Methods : A total of 466 Second grade students-248 boys and 218 girls- from all elementary schools the Gwacheon City underwent anthropometric measures including bioelectrical impedance analysis (BIA) and biochemical tests. The correlation coefficients between obesity indices, including FMI and FFMI, and metabolic risk factors, were assessed. Metabolic risk factors of children with increased FMI were compared with those of children with normal FMI. We compared FMI and FFMI percentile distribution between this study's subjects and the subjects of the Fukuoka body composition study. Results : FMI was lower and FFMI was higher in this study's subjects compared to the subjects of the Fukuoka body composition study. FMI was correlated with other obesity indices and several metabolic risk factors. Metabolic risk was higher in children with increased FMI than in children with normal FMI. Conclusion : FMI and FFMI were useful indicators in comparing difference of body composition among children that had different body size and growth. High FMI was related to increase of metabolic risk in children.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• v.1 no.1
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• pp.107-114
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• 1998

Purpose: The purpose of our study is to provide useful information for me-asurement methods of childhood obesity and to provide clinical significance of bioelectrical impedance analysis. Methods: We measured height, weight, waist to hip ratio, skinfold thickness and bioelectrical impedance from 206 elementary students in Kwangju from May to July 1997. Results: In males; 1) There were statistically high correlations between tri-ceps skinfold thickness and body mass index (BMI), percentage of body fat (%BF), weight, Rohler index (RI), total fat weight (TFW), waist to hip (W/H) ratio, height, lean body mass (LBM) (all, p<0.001). 2) There were statistically high correlations between subscapular skinfold thickness and BMI, RI, weig-ht, %BF, TBW (all, p<0.001). 3) There were statistically high correlations between %BF and BMI, triceps skinfold thickness, RI, TFW, subscapular skinfold thickness, weight (all, p<0.001). In females; 4) There were statistically high correlations between triceps skinfold thickness and BMI, weight, LBM, height, %BF (all, p<0.001). 5) There were statistically significant correlations between subscapular skinfold thickness and BMI, weight, LBM, RI, height. 6) There were statistically high correlations between percentage of body fat and BMI, RI, triceps skinfold thickness. The percentage of body fat according to the bioelectrical impedance analysis highly correlated with that calculated by skinfold thickness in males (r＝0.57, p<0.01) and in females (r＝0.30, p<0.01). Conclusion: The results of our study suggests that bioelectrical impedance analysis is a useful method of estimating body fat in the childhood obesity.

• Clinical and Experimental Pediatrics
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• v.48 no.8
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• pp.857-864
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• 2005

Purpose : The objectives of this study was to evaluate the correlations between the indices of insulin sensitivity using fasting glucose and insulin level, and the body fat mass measured by bioelectrical impedance analysis(BIA) and dual energy X-ray absorptiometry(DEXA), and to determine the clinical usefulness of insulin sensitivity indices when obese children were followed up. Methods : In this study, 28 simple obese children and adolescents were included. Anthropometric data including body weight, height, obesity degree(OD), body mass index(BMI), and waist-to-hip ratio were collected and then body fat mass was measured by using BIA and DEXA. For metabolic data, 12 hour fasting serum glucose, insulin and lipid profiles were measured and indices for insulin sensitivity(G/I ratio, $log_{insulin}$, HOMA-IR, $log_{HOMA-IR}$, QUICKI) were calculated. Results : BMI had a higher correlation with insulin sensitivity indices than OD(G/I ratio, -0.463 vs -0.209; $log_{insulin}$, 0.417 vs 0.196; HOMA-IR, 0.301 vs 0.238; $log_{HOMA-IR}$, 0.403 vs 0.198; QUICKI, -0.451 vs -0.224). But OD had a higher correlation with body fat mass measured by BIA and DEXA than BMI(BIA, 0.612 vs 0.316; DEXA, 0.667 vs 0.512). The G/I ratio was correlated with body fat mass in BIA(r=-0.420, P<0.05) and DEXA(r=-0.512, P<0.01), percentage of body fat(percentage of fat) in BIA(r=-0.366, P<0.05) and DEXA(r=-0.449, P<0.01). HOMA-IR was only correlated with body fat mass in DEXA(r=0.341, P<0.05). Conclusion : This study revealed that G/I ratios had a statistically significant correlation with anthropometric obesity indices(OD and BMI) and also had a correlation with both body fat mass and percentage of fat. These results suggest that G/I ratios could be used as useful index when obese children and adolescence are followed up.

• Journal of Preventive Medicine and Public Health
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• v.28 no.4 s.51
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• pp.783-794
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• 1995

This study was conducted to clarify the relationship of body fat percent with serum lipid level and blood pressure in adults. The study subjects were 472 men and 189 women who visited Multiphasic Health Screening Center of Yeungnam University Hospital in Taegu from May 20 to September 30, 1994. The relationship of serum lipid and blood pressure with BMI, Katsura index, atherogenic index, which calculated from the health screening data and body fat percent measured by impedance fat meter(model SIF-819) were analyzed. Three groups were classified as Group I (men : body fat Percent $\geq$ 20, women : body fat percent $\geq$ 25), Group II (men : 15 $\leq$ body fat percent< 20, women : 20 $\leq$ body fat percent< 25), Group III(men : body fat percent < 15, women body fat percent <20). In this study, Group I accounted for 3.2% in men, 3.7% in women. Weight was significantly different among three groups in both sexes(p<0.01) and height was not significantly different among three groups. In men, serum total cholesterol, triglyceride, high density lipoprotein, low density lipoprotein, atherogenic index were significantly different(p<0.01). In women, serum total cholesterol and low density lipoprotein were significantly different(p<0.05) but there was no differences in triglyceride and high density lipoprotein among three groups. BMI and Katsura index were significantly different among three groups in both sexes(p<0.01). In men, body fat percent was positively correlated with weight, BMI, Katsura index, total cholesterol, triglyceride, low density lipoprotein, atherogenic index and systolic and diastolic blood pressures, and negatively correlated with high density lipoprotein. In women, body fat percent was positively correlated with age, height, weight, BMI, Katsura index, total cholesterol, triglyceride, low density lipoprotein and atherogenic index, and negatively correlated with high density lipoprotein. But there was no significant correlation between body fat percent and blood pressure in women. In multiple regression analysis for total cholesterol, fat percent, age and BMI were significant independent variables in men$(p<0.05,\;R^2=0.1286)$, and body fat percent and age in women$(p<0.05,\;R^2=0.3399)$. In case of LDL/HDL ratio, only BMI was a significant independent variable in menu$(p<0.01,\;R^2=0.0954)$, and body fat percent, age and BMI in women$(p<0.05,\;R^2=0.3164)$. In multiple regression analysis, age, low density lipoprotein and total cholesterol were significant independent variables on systolic blood pressure in men$(p<0.05,\;R^2=0.1297)$, age and total cholesterol in women$(p<0.05,\;R^2=0.1705)$. On diastolic blood pressure, only age was a significantly independent variable in men$(p<0.01,\;R^2=0.0972)$ and women$(p<0.01,\;R^2=0.1218)$. From the result of this study, it could concluded that body fat percent was significantly associated with other obesity indices and serum lipid, but had no significant association with blood pressure. To establish the relationship of body fat percent with blood pressure, further study which consider other variables that may have an effect on blood pressure should be performed.

• Korean Educational Research Journal
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• v.41 no.2
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• pp.1-23
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• 2020

The purpose of this study is to investigate the relationship between physical fitness factors and academic achievement among high school students. As a research method, cardiopulmonary endurance, flexibility, muscular strength, muscular endurance, quickness, BMI index, and academic achievement of high school students were measured for 641 male and female high school students in 2014 and 2017. The results of this study show that cardiopulmonary endurance is correlated with cardiopulmonary endurance factors (p<0.05), cardiopulmonary endurance is correlated with flexibility and quickness (p<0.05), and flexibility is correlated with academic achievement (p<0.01). Muscle strength was correlated with quickness and body fat (p<0.05), and muscle endurance was correlated with muscle strength, quickness, and BMI (p<0.05), and correlation between quickness (p<0.01), and there was a correlation between academic achievement (p<0.01). The conclusion of this study is that developing and implementing a more effective physical fitness program can contribute to the academic achievement and physical fitness of domestic high school students because various physical activities have a positive relationship with academic achievement in addition to physical fitness.

• Proceedings of the Korean Nutrition Society Conference
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• 2000.11a
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• pp.87-87
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• 2000

• Clinical and Experimental Pediatrics
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• v.53 no.3
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• pp.341-348
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• 2010

Purpose : Body composition is important to define and manage obesity and undernutrition. Obesity is a significant health problem with medical and psychological consequences for children and adolescents. Body composition analysis (BIA) is a simple, rapid, noninvasive, and reproducible technique. However, comparative analysis of body composition has not been done in young children below 7 years old. The aim of this study is to estimate antropometric data and body composition by BIA, and to investigate the correlation between anthropometric data and fat mass or fat percent in young children. Methods : We measured height, weight, body mass index (BMI), fat mass, and fat percent by BIA in 1,376 children aged 3-6 years of whom 688 were males and 688 were females. Results : Fat mass, fat percent, intracellular fluid, extracellular fluid, protein, and minerals were significantly higher in the obese group. A significant positive correlation exists between fat mass and BMI or weight. A significant positive linear correlation was also noted between fat percent and BMI. Protein, weight, fat mass, and fat percent were significantly different among groups. Conclusion : BIA is an objective, accurate method to estimate body fat in childhood obesity cases. Fat mass and fat percent data acquired by using BIA highly correlated with BMI. However, a large-scale study is needed to diagnose obesity in young children.

• Journal of Yeungnam Medical Science
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• v.10 no.2
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• pp.345-359
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• 1993

This study was conducted to identify the factors related to the blood pressure in school children. The study subjects were 144 boys and 140 girls aged 10 years old, 4th grade student of one elementary school in Taegu City. Blood pressure and 18 variables for 284 school children were measured in May 1992. A weight-for-height index, R$\ddot{o}$hrer index(weight/$height^3$) was calculated for each individual as a measure of obesity. Body fat percent, fat weight, and lean body mass were measured by impedance fat meter(Model SIF-891). Serum total cholesterol, high-density lipoprotein, triglyceride, uric acid, total protein, and electrolyte were measured by automated clinical chemistry analyzer(Hitachi 4020). Low-density lipoprotein and atherogenic index were calculated by the equation. The variables assessed were sex, systolic blood pressure, diastolic blood pressure. R$\ddot{o}$hrer index, body fat percent, body fat weight, lean body mass, total cholesterol, high-density lipoprotein, low-density lipoprotein, uric acid, total protein, serum electrolyte and blood glucose. The mean systolic and diastolic blood pressures for boys were 104.1mmHg and 66.6mmHg and those for girls were 102.9mmHg and 67.5mmHg. Systolic blood pressure of boys was positively correlated with height, weight, R$\ddot{o}$hrer index, fat weight, lean body mass, and triglyceride. Systolic blood pressure of girls was positively correlated with height, weight, lean body mass, and uric acid. Diastolic blood pressure of boys was positively correlated with weight. R$\ddot{o}$hrer index, and lean body mass. Diastolic blood pressure of girls was positively correlated with height, weight, fat weight, and lean body mass and negatively with total serum protein. In multiple regression analysis for the systolic blood pressure, the significant independent variables were R$\ddot{o}$hrer index and serum sodium in boys, and serum uric acid, fat percent, and R$\ddot{o}$hrer index in girls. In multiple regression analysis of the diastolic blood pressure, the significant independent variables were R$\ddot{o}$hrer index in boys and total serum protein in girls. This study indicated that important factors influencing blood pressure in school children were R$\ddot{o}$hrer index, fat percent, serum sodium, uric acid, and total protein. R$\ddot{o}$hrer index was most important among these. It is recommended to enforce the nutritional education for diet control of obesity to prevent hypertention in children and to adopt healthy life-styles that promote good health and prevent development of cardiovascular risk factors.

• Proceedings of the KAIS Fall Conference
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• 2009.05a
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• pp.222-226
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• 2009

본 연구는 40~50대 중년여성을 대상으로 측정한 체내지방분포와 심전도 QTc 간격과의 관련성을 규명하기 위하여 2004년 7월부터 2005년 8월까지 일개 광역도 소재의 일개 군 보건소 운동처방실을 방문한 여자 100명을 대상으로 체내지방분포와 심전도 QTc 간격 등을 측정하였다. 주요 결과는 다음과 같다. 1. 중년여성의 안정시 심전도 QTc 간격과 체내지방분포와의 상관관계에서는 비만도, 체질량지수, 체지방율, 허리둘레, 엉덩이둘레, 허리-엉덩이둘레 비가 유의한 상관관계를 보였다. 2. 체지방율이 30% 이상인 비만군과 30% 미만인 정상군의 QTc 간격은 비만군이 정상군에 비해 QTc 간격이 더 연장된 결과를 보였다. 3. 허리둘레가 80cm 이상인 복부비만군과 80cm 미만인 정상군의 QTc 간격은 복부비만군이 정상군에 비해 QTc 간격이 더 연장된 결과를 보였다. 4. 연구대상자의 안정시 QTc 간격을 종속변수로 한 다중회귀분석을 실시한 결과를 살펴보면, 체지방율과 허리둘레가 유의하게 나타났다. 40~50대 중년여성의 심전도 QTc 간격에 영향을 주는 요인에는 체내지방분포에 따른 비만도, 체질량지수, 체지방율, 허리둘레, 엉덩이둘레 등 여러 요인들이 복합적으로 관련되는 것으로 판단되어지며, 그 중 전체지방분포를 나타내는 체지방율이 가장 크게 관련되는 것으로 판단되어진다.

• Journal of Nutrition and Health
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• v.53 no.5
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• pp.464-475
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• 2020

Purpose: This study compared the effects of a high glycemic load (high GL) diet and low glycemic load (low GL) diet on the body weight, body fat, blood pressure, and blood lipid indicators. Methods: Twenty-one young adults aged between 21 and 28 years who were overweighted or obese (body mass index [BMI] between 23 and 33.5 kg/㎡) before the study and after calorie reduction diets with either low GL or high GL for 2 weeks each were examined. The study was a randomized crossover design with a 2-week washout period between the 2 types of diet. The order of the low GL and high GL diet periods was randomized. The body weight, body fat, blood pressure, levels of blood lipids, fasting glucose, insulin, homeostatic model assessment (HOMA) insulin, C-peptide, and HOMA C-peptide were measured at the baseline, as well as 2, 4, and 6 weeks after starting the experiment. Results: When subjects were on the low GL diet, they lost more weight than those eating the high GL diet (mean ± SD, -2.77 ± 1.09 vs. -1.56 ± 0.78 kg; p < 0.001); there were greater decreases in body fat mass (-1.62 ± 1.19 vs. -0.88 ± 0.91 kg; p = 0.024) and BMI (-0.95 ± 0.32 vs. -0.56 ± 1.08 kg/㎡; p < 0.001). On the other hand, there were no significant differences in changes in biochemical parameters, such as blood lipids and fasting glucose levels, and blood pressure. The body weight, body fat mass, BMI, percent body fat, blood pressure, cholesterol (total, low-density lipoprotein, and high-density lipoprotein), fasting glucose, C-peptide, HOMA-insulin resistance-C-peptide levels were decreased significantly at 6 weeks. Conclusion: The low GL diet may be more effective in losing body weight, body fat mass, and BMI than the high GL diet for 2 weeks in healthy young overweight or obese adults.