• Journal of Nutrition and Health
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• v.31 no.4
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• pp.767-776
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• 1998

The purpose of this study was to determine the percentage of body fat by three different methods and to investigate the relationship between food preference and intake and percentage of body fat in female high school dancers. Height, weight , girth circumference, and near infrared body fat(%) on were measured 112 subjects BMI body fat (%) , girth circumference body fat (%) , and anthropometric indices were also calculated . Dietary data was collected by questionnaire. All data was analyzed by frequency, percentage, mean and standard deviation, correlation, and crosstabulation; analysis, The results are summarized as follows ; 1) Average age of the subjects was 16.5 height was 161.0cm, weight was 50.7kg , near infra-red body fat was 27.0% BMI body fat was 21.9% , and girth circumference body fat 20.9%. 2) Near infra-red body fat (%), BMI body fat(%) , BMI , Rohrer index , and % ideal weight showed the most significant correlations with upper arm girth. The differences in the height among subject physiques classified by body fat(%) were non-significant, but the differences in height by BMI, Rohrer index, and % ideal weight were significant. 3) The preference values of fatty foods such as meat, milk, and fish were shown to increase with the percentage of body fat, The subjects who had higher percentage of body fat preferred foods cooked in oil. In contrast, the students with higher percentage of body fat were thought to have lower food intake and between meals frequencies. It was shown in this study that higher preference values for animal fatty foods and foods containing more cooking oil induced significant increases in body fat and weight.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.2
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• pp.1-7
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• 2015

As a measure of health, the percentage of body fat has been utilized for many ergonomist, physician, athletic trainers, and work physiologists. Underwater weighing procedure for measuring the percentage of body fat is popular and accurate. However, it is relatively expensive, difficult to perform and requires large space. Anthropometric techniques can be utilized to predict the percentage of body fat in the field setting because they are easy to implement and require little space. In this concern, the purpose of this study was to find a regression model to easily predict the percentage of body fat using the anthropometric circumference measurements as predictor variables. In this study, the data for 10 anthropometric circumference measurements for 252 men were analyzed. A full model with ten predictor variables was constructed based on subjective knowledge and literature. The linear regression modeling consists of variable selection and various assumptions regarding the anticipated model. All possible regression models and the assumptions are evaluated using various statistical methods. Based on the evaluation, a reduced model was selected with five predictor variables to predict the percentage of body fat. The model is : % Body Fat = 2.704-0.601 (Neck Circumference) + 0.974 (Abdominal Circumference) -0.332 (Hip Circumference) + 0.409 (Arm Circumference) - 1.618 (Wrist Circumference) + $\epsilon$. This model can be used to estimate the percentage of body fat using only a tape measure.

• The Journal of Pediatrics of Korean Medicine
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• v.25 no.1
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• pp.82-89
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• 2011

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.

• Fashion & Textile Research Journal
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• v.6 no.5
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• pp.641-647
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• 2004

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.

• Journal of Fisheries and Marine Sciences Education
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• v.28 no.5
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• pp.1220-1230
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• 2016

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.

• Journal of Nutrition and Health
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• v.28 no.5
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• pp.451-459
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• 1995

This study was intended to figure out the effects of the amount and the distribution of body fat on the risk fators of adult disease. Sixty-four male college students paticipatied in this study, whose to find out body fat distributions were classified on the basis of Waist/hip ratio(WHR) into three groups-upper body type(UBTM), intermediate body type (IBTM) and lower body type(LBTM). Various risk factors such as adiposity, body fat ammount, serum lipid amount and blood pressure and their intercorrelations were analyzed. The three bodys type groups showed significant differences each other in weight(P<0.001), WHR showed considerable correlations with BMI and the percentage of body fat. The frequency of obesity assessed by BMI$\geq$25 and body fat percentage were the highest in the UBTM of the three groups. Thus, we could conclude that the closer the body fat distribution is to the upper body type, the higher the BMI and body fat percentage. Waist/girth ratio(WTR, P<0.01) and BMI(P<0.05) were positively correlated with serum triglyceride levels, and % of body fat was positively correlated with both serum triglyceride (P<0.01) and serum total cholesterol(P<0.05) levels. WHR (P<0.05), BMI(P<0.01) and % of body fat(P<0.01) also showed positive correlations with systolic blood pressure. From the above results, we could conclude that body fat distribution was a good index reflecting adiposity and body fat amount and that blood and serum amount of triglyceride was highest in the upper body type group showing the highest frequency of obesity.

• The Journal of Pediatrics of Korean Medicine
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• v.24 no.2
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• pp.99-111
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• 2010

Objectives The objectives of this study were to evaluate the correlations between the indices of obesity and percentage body fat by bioelectrical impedance analysis(BIA). Also, this study was designed to define the cut off values of percentage body fat by BIA which would represent BMI and degree of obesity in order to detect overweight and obesity in preschool children. Methods The height and weight of 683 children aged four to six years old were measured. Also, percentages of body fat were measured by BIA. Results There were high correlations between the boy's body fat percentages and degree of obesity(r=790). Also, there were high correlations between the girl's body fatpercentages and BMI(r=778). The cut off values of body fat percentage, which would correspond to those of BMI percentiles, were calculated by ROC curve analysis. To classify as an overweight, the correspondent cut off values of body fat percentage were 19.55% in boys and 22.35% in girls. For obesity, the cut off values were 28.80% in boys and 27.60% in girls. The cut off values of body fat percentage, which would correspond to degree of obesity were calculated by ROC curve analysis. To classify as an overweight, the correspondent cut off values of body fat percentage were 19.75% in boys and 22.35% in girls. For obesity, the cut off values were 29.05% in boys and 28.75% in girls. Conclusions According to the BMI criteria by the Korean pediatrics society in 2007, the most appropriate cut off values of body fat percentage in for four to six years old children were follows; for boys, 19.55% considered as overweight, and 28.80% as obese while for girls, 22.35% considered as overweight and 27.60% as obese. According to suggested degree of obesity criteria, the most appropriate cut off values of body fat percentage in for four to six old children were were follows; For boys, 19.75% was considered as overweight, and 29.05% as obesity. For girls, 22.35% was considered as overweight, and 28.75% as obese.

• Journal of the Ergonomics Society of Korea
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• v.13 no.1
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• pp.47-58
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• 1994

The purpose of this study was to obtain the basic data for a design for comfort wear. The subjects of this study were 197 women's university stu- dents. The characteristics of their body types and the thickness of subcuta- neous fat at eight body sites were measured. The thickness of subcutaneous fat was measured by both Ultrasonics and with a Skinfold Caliper. The cor- relation between their values and the thickness of subcutaneous fat were compared. The relationship between Rohrer Index and the subject's self- conception of their body was also compared. The results were as follows: 1. The measurement of thickness of subcutaneous fat at triceps and scapula was a little lower, in using Skinfold Caliper method, than Ultrasonics method because of the pressure of the caliper. 2. Correlation between percentage of fat in body and body characteristics was high in order of chest girth > weight > abdomen girth. 3. The thickness of subcutaneous 8 body these sites was high in order of thigh > triceps > scapula > abdomen > suprailiac > chest > calf > forearm. Percentage of body fat has a positive correlation with both average thickness of subcutaneous fat and thickness of subcutaneous fat at triceps. 4. Rohrer Index shows a positive correlation between average thickness of subcutaneous fat and percentage of body fat. 5. About half of subjects of this study thought that they were obese although the data proved otherwise.

• Journal of Nutrition and Health
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• v.25 no.7
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• pp.617-627
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• 1992

This study was attempted to observe the possibility of body fat distribution and fasting serum insulin as potential predictive factors for obesity and energy intake. Subjects participated in this study were seventeen pairs of upper body type women and lower body type women whose age weight BMI daily energy expenditure per body weight were equally matched, Waist to hip girth ratio(WHR) was measured as a criteria of body fat distribution. Comparison of eating behavior between upper body type and lower body type women did not show any significant differences in meal size meal duration and energy intake per minute While serum free fatty acid level was lower in upper body type women percentage of body fat and fasting serum insulin triglycerde level of upper body type women were statistically higher than those of lower body type women(p<0.05) Our data may indicate the possibility that sympathetic nervous system activity was suppressed in upper body type women which needs ti be examined in future studies. In addition since the upper body type women were dieting over the period of survey with the intention of weigh loss we can conclude that upper body type women had larger variabilities than lower body type women in terms of daily energy intake level.

• Journal of Animal Science and Technology
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• v.63 no.2
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• pp.332-338
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• 2021

The objective of this study was to predict body compositions of live pigs using bioelectrical impedance procedures. In experiment 1, 32 crossbred (Duroc × Landrace × Yorkshire) finishing pigs with an average weight at 84.06 kg were used. In experiment 2, 96 crossbred (Duroc × Landrace × Yorkshire) finishing pigs with an average weight at 88.8 kg were used. A four-terminal body composition analyser was utilized to determine fat percentage. Lean meat percentage and backfat thickness were measured with a lean meat measuring meter. In experiment 1, fat percentage was not significantly correlated with lean meat percentage, although a tendency (p < 0.1) of a negative correlation was found. Backfat thickness was significantly correlated with fat percentage and lean meat percentage (r = 0.745 and r = -0.961, respectively). Coefficients of determination for fat percentage with lean meat percentage, fat percentage with backfat thickness, and backfat thickness with lean meat percentage were 0.503, 0.566, and 0.923, respectively. In experiment 2, fat percentage was significantly correlated with lean meat percentage (r = -0.972). Backfat thickness was also significantly correlated with fat percentage and lean meat percentage (r = 0.935 and r = -0.957, respectively). Results of this study indicate that bioelectrical impedance analysis might be useful for predicting body compositions of live finishing pigs.