• 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 Korean Physical Therapy Science
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• v.10 no.1
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• pp.140-148
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• 2003

This study examined the relationship between body fitness and body composition as well as the body fluid and intracellular fluid (ICF) of extremities to determine body composition's quantitative criteria for body fitness. Multiple-frequency segmental bioelectrical impedance analysis and the physical fitness test provided by the Ministry of Education, Culture, Sports, Science and Technology were used to measure body composition and physical fitness, respectively. The test results showed that in women in their fifties, the correlation between the amount of body fluid in the upper limbs and grip strength was r=.654 (p<0.01) for the right arm and r=.445 for the left while that between the amount of ICF in the upper limbs and grip strength was r=.708 (p<0.01) for the right and r=.323 for the left. Also, in women in their fifties, the correlation between the amount of body fluid in the lower limbs and the result of a repetitive side jump test was r=.730 for the right leg and r=.753 for the left (p<0.01 for both), and that between the amount of ICF and the counts for the right and left legs was even higher with r=.742 and r=.763, respectively (p<0.01 for both). The body fluid and ICF volumes in the right extremities exceeded those in the left, and physical fitness was correlated with both body fluid and ICF. These findings indicate a connection between physical fitness and body fluid and ICF, suggesting that body composition may help predict physical fitness.

• Journal of Physiology & Pathology in Korean Medicine
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• v.20 no.3
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• pp.697-700
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• 2006

This study was aimed at finding out changes in body composition of obese patients, such as body weight, body fat mass and lean body mass. The subjects of this study are 33 females and 6 males who are from obesity clinic at Gunsan medical center. We measured body composition using BIA(Bioelectrical Impedence Analysis) to compare pre-treatment with post-treatment. The measured data were analyzed by paired t-test using SPSS. Differences were considered significant at P<0.05. Body weigh, body fat mass and lean body mass were reduced each by $3.76{\pm}23.41{\;}kg,{\;}2.29{\pm}1.96kg{\;}and{\;}1.59{\pm}1.38kg$ at a significant level after 4 week-treatment.

• Journal of the Korean Society of Physical Medicine
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• v.16 no.1
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• pp.33-39
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• 2021

PURPOSE: This study compared the body composition according to the sport of short-distance and middle & long-distance athletes to identify the factors that affect the body composition. METHODS: Forty-eight athletes selected as youth national athletes in 2019 participated in the study. The study participants measured the length of the lower extremities, body composition, and anaerobic ability. An independent sample t-test was conducted to compare the body composition according to the event. In addition, the Pearson correlation was performed to identify the factors that influence the body composition. RESULTS: The leg length of the Short and Middle & long-distance athletes were similar (p = .584). On the other hand, there were differences in the body fat percentage (p = .001), lean percentage (p = .001), and BMI (p = .001). In addition, the body fat percentage was correlated with the lean body mass (r = .419) and BMI (r = .447). Furthermore, the lean body mass was correlated with the BMI (r = .849) and the peak power (r = .662) and mean power (r = .686) of the anaerobic capacity. Moreover, the BMI was correlated with the peak power (r = .490) and mean power (r = .543) of the anaerobic capacity. The peak power of the anaerobic ability was correlated with the mean power (r = .931). CONCLUSION: The body composition differed according to the sport. The body fat percentage correlated with the lean body mass and the BMI. The lean body mass correlated with the BMI, peak power of anaerobic ability, and mean power. The BMI correlated with the anaerobic capacity.

• Journal of Oriental Medical Thermology
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• v.9 no.1
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• pp.22-28
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• 2011

Purpose :To analyze body composition in postpartum women with cold-hypersensitivity, their edema index, skelectal muscle's weight and body fat were measured and analyzed with cold hypersensitive postpartum women compared with those of non-cold hypersensitivity. Methods : We studied 38 postpartum women visiting Gangnam Kyung-Hee Korean Hospital from 1 st October 2010 to 30th september 2011. they were subjected to Digital Infrared Thermal Imaging and those with thermal difference greater than $0.3^{\circ}C$ between anterior forearm and center of hand were diagnosed with cold hypersensitivity. Cold hypersensitivity group were consisted of 11 women, the other were consisted of 26 women. All of them were measured Edema index, skelectal muscle's weight and body fat by Inbody720(body composition scanner). We studied the difference of Body composition factor between two groups and relationship between cold-hypersensitivity, Edema index, skelectal muscle's weight and body fat by Independent Samples T-test and Spearman Correlation. Results : No significant differences were observed in edema index, skelectal muscle's weight and body fat between two groups. Conclusion : There was no significant relationship among the Cold-hypersensitivity and Body composition factor(Edema index, skelectal muscle's weight. body fat). But furthemore large scale study is required.

• Biomedical Science Letters
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• v.16 no.3
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• pp.169-177
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• 2010

Osteoporosis is a disease that increases the fracture rates and a major cause of increased mortality and morbidity in the elderly people. This study is to determine which components of body composition and metabolic syndrome risk factors are important to bone health, we analysed the relationship among bone mineral density (BMD), body composition and metabolic syndrome risk factors in females. Totally 630 females participated in a medical check-up program (mean age 47 years) were selected for this study. Body composition analysis was performed by segmental bioelectrical impedance method, muscle mass, and percent body fat were measured. We also measured metabolic syndrome risk factors including abdominal obesity, HDL-cholesterol, triglyceride, blood pressure and fasting glucose level. Metabolic syndrome was defined by NCEP-ATP III criteria. The lumbar spine and femoral neck BMD were measured using the dual energy X-ray absorptiometry. Osteopenia and osteoporosis were observed in 180 and 51 persons, respectively. Muscle mass and HDL-cholesterol decreased in osteopenia and osteoporosis groups compared to the control group, and the grade was shown progressively by the symptoms. Significant positive correlation between BMD and muscle mass was observed. Multi variable regression analyses showed that % body fat and muscle mass were independent predictors of BMD after adjustment of age, height and weight. In conclusion, the BMD showed negative correlation with the metabolic and body composition was associated with BMD.

• Journal of the Korean Society of Physical Medicine
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• v.8 no.4
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• pp.627-635
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• 2013

PURPOSE: The purpose of this study is to identify how the body composition changes after jump-roping exercise. METHODS: The subjects are 40 college students, 20 females and 20 males. The subjects were selected among college students who had not taken any drug for more than 4 weeks before the experiment started. The experiment was performed for 4 weeks, from May 23rd to June 13rd, 2012. To collect the data, the vital signs such as pulse, blood pressure, weight), and the body composition were measured before and after the experiment. The data on the body composition were analyzed by the electrical resistance analyzer. RESULT: Muscle mass was increased and body fat was decreased for both females and males after the exercise. In particular the increase of the muscle mass and the decrease of the body fat for the females were statistically significant. The result that the body fat of the females was decreased significantly more than that of males is interpreted that the body fat of females are comparatively higher than that of males. Additionally the muscle mass of the left arm and leg of the subjects were significantly increased(p<.05). Correlation analysis between general characteristics such as body composition, abdominal obesity and specific muscle areas for both men and women showed generally positive between before and after the jump-roping exercise (p<.05, p<.01). However the correlation between sleeping time and each variable showed negative. CONCLUSION: A according to the result of this study, jump-roping exercise had a very positive effect on the body composition. The study suggests that college students keep jump roping for a long period to change their body composition favorably.

• The Korean Journal of Community Living Science
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• v.19 no.2
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• pp.201-212
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• 2008

This study was carried out to investigate the relative influence of food intake and menopause on the body composition and bone quality index of women in Wonju who were voluntary participants in a community nutrition program. The status of food intake was examined using a semi-quantitative food frequency questionnaire. A bioelectrical impedance analysis tool (Inbody 2.0) and SONOST 2000 were used for estimating body composition including criteria such as TWB (Total body water), SLM (Soft lean mass), LBM (Lean body mass), PBF (% body fat) and WHR (Waist hip ratio), and BQI (Bone quality index). 82% of the subjects were over the age of 40. The percentage of overweight subjects was 64.3% overall, and higher in the advanced age group while underweight was prevalent in younger subjects. Although only 8.6% of the total subjects skipped breakfast, this habit was more prevalent in subjects in their twenties and the underweight group. Variables, such as age, menstruation status, and breakfast eating habits were significant factors considered in relation to food intake from 7 food groups. Generally, older aged women ate more vegetables while the younger group consumed more simple sugars and lipids. The subjects who were underweight or skipped breakfast tended to drink higher amounts of soft drinks. With increasing age, BMI, PBF and WHR increased also, and TWB, SLM, LBM, and BQI decreased. According to correlation analysis, WHR has a positive correlation with PBF. BQI correlated with SLM and LBM positively, and with PBF and WHR negatively. Over 93.3% of the subjects over the age of 30 were assessed as having abdominal obesity. It was revealed that body composition was affected not only by age, obesity degree and menstruation status but by various food intake habits. Body composition including WHR and BQI had put many of the subjects' health in danger of metabolic disorders. Therefore, it is important to emphasize keeping in place some helpful habits such as eating regularly, having a proper diet which includes many vegetables, and continued milk intake even after menopause to insure women's good health.

• The Journal of Internal Korean Medicine
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• v.29 no.2
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• pp.512-521
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• 2008

Objective : The purpose of this study was to evaluate the Sasang constitution and body composition of the two groups devided by chest PA. Method : This study was carried out on 60 students of Semyung University. The students were selected according to the aspect ratio of rt. lung from chest PA. They were divided into two groups(length group and width group) and administered QSCCII & body composition analysis. Result : The 30 students of the length group were classified as Soumin(15), Soyangin(9), and Taeumin(6). The 30 students of the width group were classified as Taeumin(20), Soyangin(9), and Soumin(1). In the width group, weight, total body water, amount of total body fat, muscles, viceral fat area(VFA), waist hip ratio(WHR), were significantly higher than in the length group. Conclusion : There were significant relationships between the shape of lung and constitution and body composition. These findings indicate that actual organ condition could be expressed in body shape.

• Journal of muscle and joint health
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• v.23 no.2
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• pp.95-104
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• 2016

Purpose: The purpose of this study was to examine body composition and dietary self-efficacy in nursing students. Methods: The study was a descriptive, correlational study with a convenience sample of 197 female nursing students. This study was conducted from April 1st to May 31th in 2015. SPSS 21.0 program was used for data analysis. Results: The average of body protein was $7.90{\pm}1.17kg$ and normal range was 33%. A BMI's average was $21.02{\pm}2.94kg/m^2$ and 62.9 fell into standard range. The average of dietary self-efficacy of subjects was $3.42{\pm}0.53$. The subjects performed intense physical activities during three or more days had higher body protein (F=5.89, p=.003), body minerals (F=6.15, p=.003) and body-efficacy (F=4.13, p=.017) but remarkably lower body fat (F=4.04, p=.019). There is no noticeable correlation of body composition with dietary self-efficacy. However, it is obvious that each category of body composition had a significant positive correlation. Conclusion: This study demonstrated that students who were inclined to overeat had higher body protein, body minerals, body fat, and BMI. Students performed intense physical activities had high body protein, body minerals, and dietary self-efficacy, whereas they had low body fat. Each entry between the body composition had a significant positive correlation.