• The Korean Journal of Physiology
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• v.3 no.1
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• pp.29-32
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• 1969

Skinfold thickness measurement and total body fat calculation were made in summer (July) and winter (December or January) On 70 medical students (age: 20 yr),8 national team basketball players (age: 20 yr), and 9 middle-age men. Skinfold thickness measurements were made on 4 sites, namely, back, arm, waist and abdomen. The mean skinfold thickness (mm) of the 4 sites was substituted into the following formulae. For adult of 20 years old: % Fat=0.911x+8.1, and for middle-aged men % Fat=1.199x+1.41. In young medical students and ball players body weight decreased, mean skinfold thickness increased in winter season. As a result total body fat .(% body weight) increased in winter In middle-aged men both body weight and mean skinfold thickness increased in winter and resulted in an increase in the total body fat. The detailed data are as follows: 1. In medical students summer: winter values were: body weight, 59.7 :58.9 kg; mean skinfold thickness, 7.85 : 8.12 mm; and total body fat, 15.0 : 15.5% body weight (P<.30). 2. In national team basketball players summer: winter values were: body weight, 73.5 : 69.1 kg; mean skinfold thickness, 7.2 : 7.5 mm; total body fat, 11.6 : 12.1% (P:NS). 3. In middle-aged men summer vs winter values were: body weight, 61.5 : 63.0 kg; mean skinfold thickness, 10.3 : 11.8 mm; total body fat, 17.2 : 18.0% (P:NS). 4. Skinfold thickness on back showed no seasonal variation and on abdomen the thickness increased in winter. 5. It was concluded that the predominant factor in increasing total body fat in winter is the decrease in body exercise in the winter time.

• The Korean Journal of Physiology
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• v.2 no.1
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• pp.89-93
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• 1968

Total body fat measurements were performed in 342 housewives. In 44 of them(age 38.4 yr.) both the densitometry and skinfold thickness methods were made and regression equations between skinfold and total body fat were derived. In the 298 housewives(age 35.0 yr.) skinfold thickness at four sites (arm, back, waist, abdomen) were measured and total body fat was calculated. The following results were obtained. 1. The data in 44 subjects by means of densitometry and skinfold thickness were: body weight: 51.8 kg, body length: 153.4 cm, body surface area: $1.47\;m^2$, body volume: 50.2 l, body density: 1.0334 kg/l, total body fat: 25.2% body weight, mean skinfold thickness at four sites 14.9 mm. 2. There were correlations of high degree between skinfold thickness and fat (%), fat (kg), and body density. The correlation coefficients were r=0.767, r=0.846, r= -0.765, respectively. Subsequently, the following regression equations were obtained. %fat=$0.39{\times}Mean$ skinfold thickness(mm)+19.36 Fat(kg)=$0.414{\times}Mean$ skinfold thickness(mm)+7.01 Body density=$-0.00099{\times}Mean$ skinfold thickness(mm)+1.0489 3. In 298 subjects mean skinfold thickness of four sites was 20.6mm and total body fat was calculated as 27.4% body weight from the above equation.

• Nutritional Sciences
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• v.5 no.3
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• pp.117-122
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• 2002

This study was designed to observe the effect of conjugated linoleic acid (CLA) supplementation on body fatness, fat cell sizes and leptin levels in male Sprague Dawley rats. Following weaning, forty rats were divided into 4 groups beef tallow (BT), fish oil (FO). beef tallow with CLA supplementation (BTC), and fish oil with CLA supplementation (FOC) group. For four weeks, all rats were fed experimental diets containing 12％ of total dietary fat (w/w) with or without 1％ CLA. After 4 weeks, the animals were sacrificed; the total carcass fat, plasma leptin levels, epididymal fat pad weights and fat cell sizes in adipose tissue were measured. CLA supplementation did not significantly affect the rat's body weights, total body fat, epididymal fat pad weights, and fat cell sizes. CLA also did not have a significant effect on plasma leptin levels. These results suggest that CLA supplement was not an effective way to reduce the body weights of male Sprague Dawley rats.

• Journal of Nutrition and Health
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• v.23 no.4
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• pp.257-269
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• 1990

We designed this study to compare the total body fat content and its distribution of diabetics with those of normal subjects. Skinfold thicknesses at eight sites(subscapular, subcostal, abdomen, suprailiac, triceps, forearm, thigh and calf) and body circumferences at five sites(waist, hip, arm, thigh and calf) were measured on 220 diabetics(82 male, 138 female) and on 160 nondiabetic subjects(male 57, female 103). We matched 92 pairs with diabetics and nondiabetic control subjects by sex, age, body weight and height, and made comparisons between two groups(case-control study). The results were as follows: 1) There was no significant difference in total body fat content of diabetics and control (male ; 20.40$\pm$2.12%, 19.20$\pm$3.52%, female ; 26.46$\pm$2.53%, 27.01$\pm$2.92%, respectively). However, body muscle mass(%) in diabetic men(33.37$\pm$4.19%) was significantly lower than in nondiabetic men(38.16$\pm$7.11%). 2) Diabetics, especially women, were characterized by more central body fat than control. That is, indices of centrality of body fat distribution(subscapular/triceps skinfold : STR, central/peripheral fat : CPR) of diabetics were higher than those of control. 3) Body weight, body mass index and %IBW(current body weight$\times$100/ideal body weight) had negative correlations with duration of diabetes(r=-0.23~-0.33), but total body fat content(%) and indices of body fat distribution, such as STR, CPR, waist/hip girth ratio(WHR), and waist/thigh girth ratio(WTR), were not related to duration of diabetes.

• Journal of Nutrition and Health
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• v.4 no.1
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• pp.29-40
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• 1971

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 Korean Journal of Physiology
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• v.8 no.1
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• pp.31-37
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• 1974

Formulas for the prediction of total body fat from skinfold thickness in middle aged men were presented. Hydrostatic weighing was made on 35 middle-aged men $(age:\;40{\sim}50\;years)$ sad corrected for residual volume in lung. Skinfold thickness at four sites, namely, arm, back, waist and abdomen were compared with total fat calculated from the formula given by Keys and Brozek and regression equations were derived. In middle-aged men the observed values were: Body density, 1.07478 ; total body fat, 10.51% body weight; lean body mass, 89.49% body weight; arm skinfold thickness, 4.85mm; back, 10.4 ; waist, 7.72; abdomen, 7.62 and mean skinfold thickness of the four sites, 7.59 mm. The correlations between skinfold thickness and body density were high. The correlations between skinfold thickness and total body fat were also high. The coefficient of correlation between total body fat and arm skinfold, mean skinfold thickness were r=0.839 and r=0.862, respectively. Arm and mean skinfold thicknesses (x, mm) could be used as the representative value for the prediction of total body fat (y, % body weight). The regression equations were: On arm y=2.00x+0.99, With mean skinfold y=1.20x+1.41 The coefficient of correlation between body weight (kg) and mean skinfold thickness was r=0.733. The ratio of mean skinfold thickness (mm) to body weight (kg) in middle-aged men was 0.132.

• Clinical Nutrition Research
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• v.12 no.4
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• pp.245-256
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• 2023

A randomized, double-blind, placebo-controlled trial was conducted to confirm whether collagen peptide supplementation for 12 week has a beneficial effect on body fat control in older adults at a daily physical activity level. Participants were assigned to either the collagen group (15 g/day of collagen peptide) or the placebo group (placebo drink). Body composition was measured by bioelectrical impedance analysis (BIA) and dual-energy X-ray absorptiometry (DEXA). In total, 74 participants (collagen group, n = 37; placebo group, n = 37) were included in the final analysis. The collagen group showed a significant reduction in total body fat mass compared with the placebo group, as evidenced by both BIA (p = 0.021) and DEXA (p = 0.041) measurements. Body fat mass and percent body fat of the whole body and trunk reduced at 12 weeks compared with baseline only in the collagen group (whole body: body fat mass, p = 0.002; percent body fat, p = 0.002; trunk: body fat mass, p = 0.001; percent body fat, p = 0.000). Total fat mass change (%) (collagen group, -0.49 ± 3.39; placebo group, 2.23 ± 4.20) showed a significant difference between the two groups (p = 0.041). Physical activity, dietary intake, and biochemical parameters showed no significant difference between the groups. The results confirmed that collagen peptide supplementation had a beneficial effect on body fat reduction in older adults aged ≥ 50 years with daily physical activity level. Thus, collagen peptide supplementation has a positive effect on age-related changes.

• Nutrition Research and Practice
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• v.13 no.3
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• pp.214-221
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• 2019

BACKGROUNDS/OBJECTIVES: Cancer treatment may lead to significant body composition changes and affect growth and disease outcomes in pediatric cancer patients. This prospective study aimed to evaluate short- and long-term body compositions changes focused on body fat during the first year of cancer treatment in children. SUBJECTS/METHODS: A prospective study was conducted in 30 pediatric cancer patients (19 hematologic malignancies and 11 solid tumors) and 30 age- and sex-matched healthy controls. Anthropometric measurements and body composition analysis using whole body dual energy X-ray absorptiometry were performed at baseline and 1, 6, and 12 month(s) of cancer treatment. Kruskal-Wallis tests, Wilcoxon paired t tests, and generalized estimation equation (GEE) were applied for statistical analysis. RESULTS: At baseline, no differences in weight, height, body mass index, abdominal circumferences, body fat, and fat-free mass were observed between 30 controls and 30 pediatric cancer patients. Total fat mass (P < 0.001) and body fat percentage (P = 0.002) increased significantly during the first month, but no changes were observed from 1 to 12 months; however, no changes in the total mass were observed during the first year of cancer treatment. Meanwhile, the total fat-free mass decreased during the first month (P = 0.008) and recovered between 6 and 12 months of follow-up (P < 0.001). According to GEE analysis, there was a significant upward trend in body fat percentage during the first year, especially the first month, of cancer treatment in children with hematologic malignancies, but not in those with solid tumors. CONCLUSIONS: Our results indicate that cancer treatment is related to significant body composition changes and rapid body fat gain, particularly during the first month after initiating cancer treatment, in children with hematologic malignancies. Therefore, individualized dietary strategies to prevent excessive fat gain are needed in pediatric cancer patients for better outcomes.

• Journal of Nutrition and Health
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• v.23 no.2
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• pp.93-107
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• 1990

The purposes of this investigation were to determine the validity of various methods (available anthropometric equations and near-infrared light interactance) for estimating body fat and to develop multiple regression equations for the prediction of body fat. Thirty-eight healthy males(age: 20.87$\pm$7.17 yrs) and 12 females(19.58$\pm$2.19 yrs) underwent hydrostatic weighing to determine body fat. Anthropometric measurements were taken of height, weight, nin skinfolds and thirteen circumferences. The results obtained are summarized as follows: 1) Relative body fat determined by underwater weighing was 12.08$\pm$5.21% for the males and 17.97$\pm$5.75% for the females. 2) Circumference and skin fold that had the highest correlation with the body fat were waist girth in males and females(r=0.60, r=0.96, respectively), and subscapular in males(r=0.68) and triceps in females(r=0.96). 3) Corss-validation of 18 selected equations on males revealed total errors ranging from 3.76% to 5.06%. Among these equations, M3(Pollock et al.) demonstrated the least total error. Total error of estimation by near-infrared(NIR) was less than that of available anthropometric measurement equations. The results of the cross-validation of 12 equations on females revealed that F3(Sloan et al.) was clearly superior in accuracy of prediction. 4) Correlational analyses showed that estimation of body fat by NIR measurement seemed to be more closely associated with body fat determined by underwater weighing in women than men, in older subjects than younger ones, and in fatter subjects than leaner ones.

• Journal of Nutrition and Health
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• v.24 no.3
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• pp.157-165
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• 1991

The purpose of this study was to investigate differences in body fat distribution between normal and obese subjects and the relationship between risk factors(fasting blood sugar, blood pressure. fasting serum lipids) and obesity. Measurements of height. weight, skinfold thickness. body circumference. percent body fat. blood pressure, fasting blood sugar and serum lipids were made and a dietary survey was performed on 120(Males 61. Females 59) adult subjects. 1) Among the female subjects, the obese group appeared to have significantly higher centrality of body fat than the normal group. Obese groups of both sexes appeared with higher blood pressure than normal groups. No differences in daily average nutrient intake, fasting blood sugar and fasting serum lipids concentrations were observed between obese and normal groups. 2) In males. the serum triglyceride concentration was observed to have a significantly positive correlation to body weight, body mass index and body circumference, additionally concentrations of total cholesterol and LDL-cholesterol were observed to have significantly positive correlations to the skinfold thickness. but the ratio of HDL-cholesterol/total cholesterol was observed to be significantly negatively correlated to the skinfold thickness. 3) In females. the obese group consumed about 47% of total energy intake at lunch. whereas the normal group consumed about 29% . The food habit score of males appeared to be negatively related to body weight, percent ideal body weight. But the food habit score of females appeared to be negatively related to percent body fat(r=-0.32, p<0.05) .