This study was intended to figure out the interrelationship among body fat distribution serum insulin and lipids levels. One hundred forty four adult female from Chinju area were participated in this study. The survey was conducted between December 17, 1990-February 27, 1991, . The results are as follows : Wiast/hip girth ratio(WHR) and waist/thigh girth ratio(WTR) were increased with age and positively correlated with body mass index(BMI). It appeared that the prevalence of obesity in terms of BMI was higher in upper body type than intermediate or lower body type women. Correlation analyese indicated that serum triglyceride level seemed to be more closely associated with BMI and other body fat distribution indices. Analyses of the anthropometric data serum lipids and insulin were carried out by dividing the sample into three body type groups-upper body type women(WHR$\geq$0, .87) intermediate body type women(0.82$\leq$WHR$\leq$0.86) and low body type women(WHR$\leq$0.81) Age weight BMI RBW percentage of body fat serum insulin triglyceride cholesterol level of upper body type women were significnatly higher than that of intermediate or lower body type women(p<0.05) HDL-cholesterol was significantly lower in upper body type women. These results suggested that body fat distribution would be relevant to chronic metabolic diseases.
The purpose of this study is to provide the reference data for estimating body composition and developing equations for prediction of percent body fat. This study was designed of two aspects: Comparison of percent body fat measurements between two operators. comparison of percent body fat measurements among four instruments. Percent body fat of college girls(n=71) aged 18-24 was measured by skinfold thickness, near-infratred interactance(Futrex-5000), and bioelectrical impedance analysis (TBF-105, Spectrum II). All measurements were duplicated & measured by two operators. The results are summarized as follows: Percent body fat observed from two operators had no significant difference. There was significant difference from four instruments. However, we found close relation between Skinfold thickness & TBF-105, Spectrum II & Near-infrared interactance. Four instruments have several assumptions and limitations. Therefore, many researches for developing new equations are required for Korean people.
For the measurement on the fat content if University Students, an intensive examination was conducted on a total of 3,030 students(male 2,577, female 453), from 16 to 25 years of age. The subjects were all students who had passed the written entrance examination for Seoul National University. Total Body Fat amount was measurement by skin-fold thickness with a skin-fold caliper(Manufactured by Cambridge Scientific Industrial Inc. U.S.A.) at four sites of the body, and it was calculated by Kim's and Lee's regression equation. As a result of this survey, the following conclusions were obtained; 1. Physical Measurements: i) The average of body height by anthropometric was male $167.95{\pm}4.85cm$ and female $156.03{\pm}4.56cm$. ii) The average body weight by anthropometric was male $56.42{\pm}5.65kg$ and female $51.29{\pm}5.34kg$. iii) The average of chest-girth by anthropometric was male $89.95{\pm}5.33cm$ and female $81.36{\pm}4.89cm$. iv) The average of sitting-height by anthropometric was male $91.23{\pm}4.98cm$ and female $86.18{\pm}4.15cm$. v) The average of arm circumference by anthropometric was male $23.76{\pm}2.17cm$ and female $22.39{\pm}1.79cm$. In all cases the male measurements were higher than the female. 2. The mean skin-fold thickness measured with a large skin-fold caliper was; At the sub-scapular: male $11.54{\pm}4.84mm$ and female $14.07{\pm}4.49mm$, Abdominal: male $10.36{\pm}7.09mm$ and female $14.95{\pm}5.47mm$, Lumbar; male $12.55{\pm}6.44mm$ and female $17.02{\pm}6.57mm$, Upper arm: male $6.28{\pm}3.71mm$ and female $11.62{\pm}3.99mm$, Total average: male $10.18{\pm}5.52mm$ and female $14.41{\pm}5.13mm$, in all cases the female measurements were higher than the male. 3. Data on body fat amounts according to body fat weight regression equation were: in male: Fat weight=10.56kg, Fat free weight=45.86kg, Fat weight/Total body mass(%)=18.71%, (Body fat amount %), Fat weight/Fat free weight(%)=23.02%, Fat free weight/Total body mass(%)=81.29%. in female: Fat weight=12.23kg, Fat free weight=39.06kg, Fat weight/Total body mass(%)=23.85%, Fat weight/Fat free weight(%)=31.31%, Fat free weight/Total body mass(%)=76.15%. The females value was higher than the males.
The purpose of this study is to investigate the effect of 20s university student bodybuilders' protein intake differences with resistant exercise(weight training) by 12 weeks on solt lean mass and body composltion. Natural protein(Chicken breast meat) intake group and Whey protein isolates(WPI) intake group are the experimental groups. Conventional meal intake group is the control group. This study proposes a efficient protein diet for weight training. The results were as follows. In the experimental group(natural protein intake), muscle mass and lean body mass was significantly increased, but body fat percentage was significantly decreased. In the experimental group(WPI intake), muscle mass and lean body mass was significantly increased, but body fat percentage was significantly decreased. In the control group(conventional meal intake), muscle mass and lean body mass was insignificantly increased, but body fat percentage was insignificantly decreased. In addition, there was not a significant difference among intake groups, and also not a differentiated effect between natural protein and WPI intake. In conclusion, natural protein and WPI made muscle mass and lean body mass rise, body fat percentage reduced effectively. Only WPI intake(without natural protein intake) was the efficient mean to increase muscle mass and lean body mass, and to decrease body fat percentage.
Objectives: This study was designed to regulate the percentile of body fat percentage by Bioelectrical Impedence Analysis (BIA) in order to detect overweight and obesity in preschool children. Methods 1301 three to six year old children's height, weight, and body fat percentage using BIA was measured. Results: The percent of the boys with 85th percentiles of the body fat percentage were 22.3%(3years), 23.4%(3.5years), 23.9%(4years), 24.8%(4.5years), 22.8%(5years), 24.6%(5.5years) and 23.8%(6years). The percent of the girls with 95th percentiles of the body fat percentage were 24.9%(3years), 27.5%(3.5years), 27.3%(4years), 28.6%(4.5years), 28.1%(5years), 33.3%(5.5years) and 32.7%(6years). For the girls, the percent of girls with 85th percentiles of body fat percentage were 23.3%(3years), 24.4%(3.5years), 23.6%(4years), 23.7%(4.5years), 24.7%(5years), 26.0%(5.5years) and 28.1%(6years). And the 95th percentiles of the body fat percentage were 28.6%(3years), 27.3%(3.5years), 25.4%(4years), 28.0%(4.5years), 31.7%(5years), 33.5%(5.5years) and 36.4%(6years). Conclusions: The 85th percentiles of body fat percentage to classify as overweight and the 95th percentiles of body fat percentage to classify as obesity were accord with the Body Mass Index (BMI) criteria by the Korean pediatrics society in 2007.
Twenty eight non-lactating and non-pregnant adult Serra da Estrela ewes, ranging in body condition score (BCS) from 1 to 4 were used to study the relationships between BCS, live weight (LW), body composition and fat partition. Ewes were slaughtered and their kidney knob and channel fat (KKCF), sternal fat (STF) and omental plus mesenteric fat (OMF) were separated and weighed. Left sides of carcasses as well as the respective lumbar joints were then dissected into muscle, bone and subcutaneous (SCF) and intermuscular fat (IMF). The relationship between LW and BCS was studied using data from 1,396 observations on 63 ewes from the same flock and it was found to be linear. Regression analysis was also used to describe the relationships among BCS and/or LW and weights (kg) and percentages in empty body weight (EBW) of dissected tissues. The prediction of weights and percentages in EBW of total fat (TF) and of all fat depots afforded by BCS was better than that provided by LW. Only the weight of muscle and the percentage of bone in the EBW were more efficiently predicted by LW than by BCS. IMF represented the largest fat depot with a BCS of 1 and 2, whereas SCF was the most important site of fat deposition with a BCS of 3 and 4. Allometric coefficients for each fat depot in TF suggest that the fat deposition order in ewes from this breed is: IMF, OMF, SCF and KKCF. Results demonstrate that BCS is a better predictor than LW of body reserves in this breed and that LJ is a suitable anatomical region to evaluate BCS.
The research is focused on relationship between body fat percentage and physical characteristics of women in age group between 20s and 30s who experience great deal of physical change such as marriage, pregnancy, delivery, breast-feeding, and etc. The research used physical measurement of two hundreds women: 50 women in their early twenties, 50 women in their late twenties, 50 women in their early thirties, and 50 women in their late thirties. The research provides base data for women clothing industry by observing relationship between physical figure and body fat percentage rate based on obesity study on body fat percentage, physical BMI, R$\ddot{o}$hrer Index, and Vervaeck Index. Followings are conclusion of the research. The older the ages, the shorter the height and the heavier the weight. Recognizable differences in circumference, thickness, and width rather than in length are found. Also recognizable increases in average body fat percentage and average physical characteristics by age have found. By observing body fat percentage and physical measurements, it was revealed that weight has more effect on body fat percentage than height in all ages. Circumference, width, and thickness have more impact than length measurements among physical measurements. Main body or upper body has more impact than legs and arms or lower body. Body fat percentage increase rapidly by ages. 2.0% of age 20~24, 20.0% of age 25~29, 28.0% of age 30~34, and 54.0% of age 35~39 were sorted as obesity.
The aim of this study was to measure and compare nutrient intake, anthropometric measurements and serum indices by percent body fat as one of the index of obesity degree in female college students. Additionally we attempted to investigate percentile distribution of fat free mass index (FFMI) and fat mass index (FMI) for developing reference values for these two parameters. The subjects were 91 female college students who were classified to 4 groups according to the percentile of percent body fat (Group1: 25 th < percentile of percent body fat, Group 2 : 25 th ${\le}$ percentile of percent body fat < 50 th, Group 3 : 50 th ${\le}$ percentile of percent body fat < 75 th, Group 4 : percentile of percent body fat ${\ge}$ 75 th). The mean percent body fat and body mass index were 28.2%, $20.5 kg/m^2$ respectively. The mean energy intake was 1707 kcal(81% of KDRIs) and vitamin C, folate, Ca and Zn intake were 73.9%, 54.7%, 79.6%, 97.5% of KDRIs respectively. Most nutrient intake (energy, carbohydrate, cholesterol, fatty acid, Ca, Fe) of G4 was lower than that of G1, G2 and G3. Serum HDL-cholesterol concentration was significantly lower in G4 than G1, G2, G3 and it tended to increase as percent body fat decreased. LDL/HDL, A1 of G4 were significantly the highest among the 4 groups and increased as percent body fat increased. The mean fat free mass index and fat mass index were $14.5 kg/m^2$, $6.0 kg/m^2$ respectively. The criteria of sarcopenic obesity which has been defined as under 25 th percentile of FFMI and below 75 th percentile of FMI were shown $12.8 kg/m^2$, $8.2 kg/m^2$ respectively in this study. In conclusion, we should continue to more systematically research on the studies of new obesity measurement which includes FFMI and FMI as one of the variables. And the public education for weight control that emphasizes both the understanding of body composition and the importance of nutrition balance is also required.
Germanium is found in a range of minerals and ores and is present in foods including beans, tomato juice, oysters, tuna and garlic. Germanium is a non-metallic element, which can exist in valence states of 2 and 4. Clinical trials and use in private practices for more than a decade have demonstrated organic germanium's efficacy in treating serious disease including cancer, arthritis and senile osteoporosis. But it was rarely reported that inorganic germanium has biological properties. STB-BM contains mineral complex, rare earth elements and a little amount of Inorganic germanium. The experiment was carried out the anti-obesity effect. To investigate anti-obesity effect of STB-BM, we measured the effect of body weight, fat weight (subcutaneous fat, epididymal fat, visceral fat, kidney fat and total fat) and serum biochemical level in rats fed high fat diets. STB-BM 35 mg/kg suppressed the increasing ratio of body weight, epididymal fat weight, visceral fat weight, total fat weight, triglyceride and LDL-cholesterol (p<0.05).
This study was aimed to investigate the relations between self-selected intake of 3 macronutrie-nts and body weight gain and body fat accumulation in male rats given three isocaloric diets differing carbohydrate protein and fat contents concurrently. Also the effect of dietary restriction was observed. Forty two male rats of Sprague-Dawley strain weighing 68.7$\pm$6.1g were randomly divided into 2 groups and were allowed to have foods from 3 different cups for 8-hours a day or ad libitum, After 12 weeksthey were decapitated and their brains were quickly removed and frozen until they were assayed for serotonin and its metabolite 5-HIAA The carcass was dried at 105$\pm$2$^{\circ}C$ and measured the contents of body water and body fat. The animals chose a moderately high and constant carbohydrate level and showed the increase of percent protein intake with age and great individual variations. Protein in the diet seemed to trigger appetite and increase food intake which resulted in higher weight gains and in more fat deposition in the body. The concentration of brain serotonin did not show any correlations with the intake of nutrients. the accumulation of body fat and the gain of body weight.
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