• Nutrition Research and Practice
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• 제13권3호
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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.

• 복식문화연구
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• 제10권6호
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• pp.735-747
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• 2002

This study aimed at investigating the change of fat in each body part according to the wearing of sport underwear made of specially-processed materials. in this study. 6 females made up of three early twenties, and three later thirties took part in the exercises for 12 weeks to to out the change of fat amount in body, square of body part by CT and obesity after and before an exercise. The results are as follows: In the obesity condition after and before an exercise, Roller's index shows that in case of 51 and 54, one level was lowered concerning the basic physical strength and optimal index was not changed. In the silhouette between body frames. there are differences between ages. The body fat rate decreased 35.95% on the average. and the amount of the body fat of females in twenties was more than that in thirties. The amount of body fat decrease with the lapse of exercising time, while the amount of body fat shows increased of 0.75%, which showed the minus correlation. The rate of averaged flat by CT went up after an exercise in every body part. and also the decreased value of subcutaneous fat was not proportioned to that of weight and girth. Inbody parts, the lower abdomen was shown 49.7%, navel part 47.7% and waist part 37.3% each in numerical value. In the thickness of subcutaneous fat concerning waist, the value of front-center line was the lowest, and followed by rear-center line and lateral line. 1204degree part in the navel showed the most fat layed, and the lowest fat layed was in the lateral part. Concerning the lower part of abdomen, under-skin fat was the most layed in 120degree part like that of navel part.

• 산업기술연구
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• 제26권B호
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• pp.243-248
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• 2006

The purpose of this study is to design a body-fat measurable electronic scale which can measure body impedance and weight. The hardware configuration of this system for the body-fat measurement includes a sinewave constant current generator, a analog switch circuit and a microprocessor with peripheral interface as well as electronic scale circuit. And the dedicated software is also designed for calculating body fat and body composition analysis from the result of the measurement.

• 산업경영시스템학회지
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• 제38권2호
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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.

• 대한간호학회지
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• 제29권3호
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• pp.596-604
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• 1999

This study aims at examining the correlations between waist-hip ratio, body fat, BMI, relative body weight and serum lipids by men and women in 40's and 50's. The subjects were 412 adults, who had regular health examinations between January and December of 1996 at S-Hospital in Seoul. The data were analyzed using unpaired t -test and Pearson correlation coefficient. The results were as follows : 1. The group of men had higher levels in waist-hip ratio, BMI, body weight , triglyceride, total cholesterol /HDL-cholesterol ratio , LDL-cholesterol /HDL-cholesterol ratio than the group of women. The group of women had higher levels in body fat and HDL-cholesterol than the group of men. 2. In the group of men, waist-hip ratio was more significantly correlated to serum lipids than body fat and BMI. In the group of women, body fat, BMI and relative body weight was more significantly correlated to serum lipids than waist-hip ratio.

• Journal of Community Nutrition
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• 제2권2호
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• pp.105-109
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• 2000

To investigate the correlation between college women's energy intake and body fat percentage, this study was undertaken with 116 college women aged 19-24 years. The subjects were 20.9 years old on the average, and mean height and weight was 161.3 cm, 51.2 kg. Blood pressures were 112.4 mm Hg(systolic pressure), 70.2 mmHg(diastolic pressure). The number of pulse was 75.5 count/min. The energy intake and percent body fat were examined. The average intake of energy was 7652kcal/day(82.3% of RDA), which was lower than the recommended amount. It was similar to the level of energy intake of Korean women. BMI was 19.7 and body fat percent was 24.4%, so they appeared plump. According to BMI, 43.1% of subjects was grouped into normal, 56.9% was thin ; there was no difference between groups in age and stature. Also, normal group(27.1%) shoed significantly higher body fat percent(27.1%) than thin group(22.3%). But, body fat percent of thin group according to BMI was shown normal. Therefore, it may be thought that BMI is unsuitable indicator in this study. As a result of analyzing the correlation between body-measuring value and food intake, body fat percent against body weight and BMI was significant at the level p<0.001, but thee was no significant correlation with food intake. Therefore, it is desirable to recommend a healthful dietary lifestyle and activities for young women who want to reduce body weight due to excessive concerns regarding their outward figure.

• The Korean Journal of Physiology
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• 제3권1호
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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.

• Physical Therapy Rehabilitation Science
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• 제10권1호
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• pp.64-68
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• 2021

Objective: In clinical practice, there are a lot of exercise to reduce body weight or reduce the amount of body fat in order to solve back pain. However, many studies have contradicted the relationship between back pain and weight or body fat mass. The purpose of this study was to investigate the relationship between fat mass, body mass index and low back pain of office worker. Design: Crossed-sectional study Methods: Among the white-collar workers diagnosed with non-specific back pain by doctors, subjects who were not included in the exclusion criteria were selected to measure the subject's body fat mass, body mass index, pain intensity, and disability index due to back pain. The NPRS was used for the intensity of back pain of office workers, and the ODI was used for the degree of disability due to back pain. A body composition analyzer was used to measure the body fat mass and body mass index of white-collar workers. Results: There was no significant difference between the two groups in the comparison between the normal group and the excessive group according to the criteria of fat mass and body mass index. In the correlation analysis of fat mass, body mass index, pain intensity, and disability index, it was found that there was a significant correlation between fat mass and body mass index. However, neither fat mass nor body mass index had a significant correlation with pain intensity and disability index. Conclusions: The fat mass and body mass index of office worker do not affect low back pain.

• Nutritional Sciences
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• 제8권1호
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• pp.50-55
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• 2005

This study was conducted to determine the relationship between the body fat percent (BF%) and body mass index (BMI) of Koreans and the differences with Caucasians. Complete data were collected from 3297 subjects (2441females and 856 males) between the ages of 18 and 79. Data were collected between September 2001 and November 2001 in Seoul and Pusan. For the statistical analysis, only the data on subjects between the ages of 18 and 65(3200) were used Body weight and height were measured BMI (kg/$m^2$) was computed From BMI, BF (%) was calculated using age- and sex-specific prediction formulas. BF% was assessed using an INBODY 2.0 body fat analyser. Data analysis showed that the females were significantly younger than the males, were smaller, lighter and had a lower body mass index. Body fat percent of the females was higher than that of the males. 1he differences between actual measured BF% and BF% as predicted from prediction equations from the literature, based on BMI, age and sex, were correlated with level of body fat and age. There is a significant age-related decrease in body fat in Koreans for any given BMI and sex, which is remarkably different compared to age-related increases in body fat in the European reference group. For the same age and BF%, Korean females have a slightly lower BMI than their European counterparts. Korean males have, for the same age and BF%, a higher BMI than their European counterparts. The differences between females and males were not significant. It was concluded that, assuming that the data on body fat percent was correct, that the relationship between BF% and BMI is quite different in Koreans than in European Caucasians. Thus, for younger Koreans cut-off values for obesity should be slightly lower than those for Caucasians whereas for older Koreans the cut-off points for obesity should be higher than those for Caucasians.

• The Korean Journal of Physiology
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• 제2권1호
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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.