• Journal of Sport and Applied Science
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• v.7 no.2
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• pp.21-28
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• 2023

Purpose: This study was to investigate the effect of a 12-week plyometric training on body composition, physical fitness and bone mineral density in obese male adolescents. Method: Twenty adolescent boys who are obese were randomly assigned to a control group (CON, n=10) or plyometic exercise group (EXE, n=10). The EXE group was performed 3 times per week for 12 weeks. The body composition, physical fitness, and bone mineral density were measured before and after the 12 weeks intervention. Results: The results of this study were as follows: i) In EXE group, the fat mass was significantly decreased between pre and post, whereas the difference of the body weight, BMI, and LBM were not significant. ii) Among the physical fitness factors, grip strength, muscular endurance, and 2 0m shuttle running were significantly improved but flexibility did not show any significant difference. iii) The bone mineral density was significantly improved between pre and post in EXE group. Conclusion: These results suggested that plyometric training for 12 weeks may be effective in improving body composition, physical fitness, and bone mineral density in obese adolescents. Further implications were discussed.

• Journal of muscle and joint health
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• v.15 no.2
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• pp.166-174
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• 2008

Purpose: The purpose of this study was to examine the effect of a 8-week dynamic yoga program on body composition and blood lipids in middle-aged post-menopausal women. Method: Twenty participants were allocated to the yoga group (YG, n=10) or the control group (CG, n=10). They were assessed for lean body mass, percent body fat, waist to hip ratio, total cholesterol, low density lipoprotein cholesterol, high density lipoprotein cholesterol, and triglyceride both before and after intervention. The yoga group participated in the program lasting $50{\sim}60$ minutes, five times a week for 8 weeks. Results: Unlike the control group, the yoga group showed a significant decrease in total cholesterol, low density lipoprotein cholesterol, percent body fat, and waist hip ratio after the yoga training. However, changes in lean body mass, high density lipoprotein cholesterol, and triglyceride level during the intervention period were not different between the yoga group and the control group. Conclusion: The 8-week dynamic yoga program could be adopted to prevent cardiovascular diseases in middle-aged post-menopausal women by promoting body composition & blood lipids.

• Journal of Korean Medicine for Obesity Research
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• v.5 no.1
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• pp.47-56
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• 2005

Objectives : This study was performed to investigate the change of bone mineral density(BMD) after 1 month Kirindiet therapy including very low calory diet(VLCD) in middle-aged obese women$(65>age{\geqq}40,\;BMI{\geqq}25)$ under normal $BMD(T-score{\leqq}0)$. Methods : We examined body weight, body fat, protein mass and BMD of 13 middle-aged obese women who visited to Kirin Oriental Hospital from Sep. 7. 2004 to Oct. 12. 2005 before and after 1 month Kirindiet therapy. Body weight, body fat and protein mass was checked by Inbody 4.0 and BMD was checked by quantitated computed tomography. Wilcoxon signed rank test was used for analyzing changes of body weight, body fat, protein mass and BMD before and after treatment. Results : Alter 1 month treatment body weight(-4.89Kg, -6.74%, p=0.001), body fat(-3.47Kg, p=0.001) and protein mass(-0.97Kg, p=0.006) was significantly reduced. BMD was significantly increased in all cases(+4.87mg/cc, +4.16%, p=0.001). Though body weight, body fat and protein mass were significantly reduced, BMD was significantly increased(p<0.01). Conclusions : In this study, we can conclude that after 1 month Kirindiet therapy including VLCD, BMD in middle-aged obese women under normal BMD was significantly increased inspite of reduction of body weight, body fat and protein mass.

• Journal of Technologic Dentistry
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• v.19 no.1
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• pp.55-61
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• 1997

To observe the difference of the special liquid influencing to the fitness of casting body among the many elements influencing to the die fitness of the casting body, we fit L/P ratio each investment, using two kinds of phosphate bonded investment, divided the density of the special liquid by 5 groups(Density 100, 75, 50, 25, 0), made 10 copying per each group and experiment 10 groups, totally 100 copying and finally we could get the result as following ; 1) In such a case of CB-30, the casting fitness of the density 100 of special liquid, group 6, was the best and in order of the density 75, 50, 25, 0 the fitness is better. 2) In such of Denti-vest, the fitness of the density 100 of the special liquid, group 1, was the best and in order of the density 75, 50, 25, 0 the fitness is better. 3) Therefore we should change the density according to the transformation of the environment as investing because of increasing the expansion of phosphate bonded investment, as increasing the density of the special liquid.

• Korean Journal of Health Education and Promotion
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• v.15 no.1
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• pp.179-194
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• 1998

This study focused on the body composition of Korean Basketball Players in Dual X -ray Absorptiometry. The principal subjects of this study were 10 Basketball Players who participated in the process of Dual Energy X -ray Absorptiometry at K.H. University Hospital for 8 months from Sept. 1. 1996 to April, 30. 1997. On the basis of the these measurements, the authors calculated physical indices and total fat percent. On the results of bone densitometry, the author analyzed body fat weight, body composition according to body position, bone mineral density and discerned the difference between the fatness which was calculated indirectly and which gained from the bone densitometry. 1. General Characteristics The mean age of the subjects was 20.4$\times$1.35 year. 2. Physical. Measurement The mean physical growth and development of the subjects were superior to standard value of the average Koreans 3. Body Fat by Physical Measurement Body surface area was 2.019$\times$0.111$m^2$, body volume was 74.4$\times$7.2$\ell$, body density was 1.041$\times$0.007$\ell$/kg, and body fat percent was 24.9$\times$2.9%. 4. Body Fat by Bone Densitometry Total body fat percent was 15.17$\times$2.19% and according to body position that of upper limb was 1.62%, that of lower limb was 5.55%, that of trunk was 7.06% and that of head was 1.05%. There was significant difference between the amounts of body fat from the methods used in this study; that from physical measurements and from bone densitometry method could be said most desirable. 5. Body composition According to Body Position Trunk was highest at 46.7%, lower limb was 36.0%, upper limb was 10.6%, and head was 6.7% in order. 6. Bone Mineral Content and Bone Density In bone mineral amount by body position, that of upper limb was 466.9$\times$46.4g, that of lower limb was 1,424.1$\times$154.0g, that of trunk was 1,343.0$\times$150.3g, and total bone mineral content was 3,786.8$\times$348.4g(4.78$\times$0.13%). Bone mineral density by body position, that of upper limb was 0.758$\times$0.072g/$\textrm{cm}^2$, that of lower limb was 1,342$\times$0.095g/$\textrm{cm}^2$, that of trunk was 1,169$\textrm{cm}^2$0.082g/$\textrm{cm}^2$, that of head was 1,742$\times$0.154g/$\textrm{cm}^2$ and total bone mineral density was 1,204$\times$0.077g/$\textrm{cm}^2$.

• Journal of radiological science and technology
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• v.37 no.4
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• pp.267-272
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• 2014

It is well known that low body mass index and younger age are associated with high breast density. Mammographic dense breast has been reported both as a cause of false-negative findings on mammography and as an indicator of increased breast cancer risk. The purpose of this study was to evaluate the association between breast density and body mass index. Furthermore, we considered proper screening method of breast cancer in Korean women. The study was performed on 496 women who underwent health checkup in a university hospital. Age and body mass index were negatively associated with breast density respectively. In postmenopausal women, age and body mass index showed statistically significant association with breast density. Therefore, we should consider sensitive additional method for breast cancer screening especially in younger age and underweight women.

• The Transactions of the Korean Institute of Electrical Engineers C
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• v.55 no.5
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• pp.231-238
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• 2006

This paper analysed the induced current density inside human body of hot-line worker for 765kV double circuit transmission line according to locations of human body. Human model was composed of several organs and other parts, whose shapes were expressed by spheroids or cylinders. Organs such as the brain, heart, lungs, liver and intestines were taken into account. Applying the 3 dimensional boundary element method, we calculated induced current density in case a worker was located inside and outside a lowest phase of 765 kV transmission line in which a 60% current of maximum load flowed. As results of study, we found a maximum induced current density in all organs was less than $10mA/m^2$ when a wonder was outside. As one in brain and heart was higher than $10mA/m^2$ when a worker was inside, we propose a method for lowering current density.

• Journal of the East Asian Society of Dietary Life
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• v.14 no.2
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• pp.113-122
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• 2004

This study was conducted to examine the correlation among growth development, bone mineral density, and nutrient intakes in preschool children. A total of 62 preschool children measured the anthropometric characteristics and the bone mineral density of carpus using DEXA. The questionnaires categorized to determine health status, life style, dietary behaviors, and dietary intakes were filled out by children's mothers. The average ages of the study subjects were 62.4 months in boys and 62.1 months in girls. The birth height and weight of the subjects were 50.9 cm and 3.4 kg in boys and 50.3 cm and 3.3 kg in girls, respectively. The average height, weight, % body fat, and obesity index were 111.7 cm, 19.6 kg, 15.0%, -2.1% in boys and 109.4 cm, 18.7 kg, 17.5%, 0.2% in girls, respectively. The bone mineral density in carpus was 0.25 g/cm$^2$ in boys and 0.24 g/cm$^2$. In girls. Proportions of children having regular meals were 69.0%, 94.7%, and 69.0% for breakfast, lunch, and dinner, respectively. The major reasons for irregular meal were poor appetite and lack of time for breakfast and snacks for dinner. Most of the children(52.6%) had breakfast with the whole family together, and all the children had lunch and dinner with a part of the family. Most of the children answered they had snack more than once a day, and 64.3% had an unbalanced diet. The intakes of energy, calcium, iron, zinc, vitamin A, vitamin B$_1$, niacin, and vitamin C did not meet the Korean RDAs. Average bone mineral density in carpus was positively correlated to the body weight, the total body water, the lean body mass, and the obesity index, respectively(p＜0.01, p＜0.01, p＜0.01 and p＜0.01). The body weight, the total body water, and the lean body mass showed the significant negative correlations with the animal iron intake(p＜0.05, p＜0.01 and p＜0.01). The bone mineral density in the distal carpus was negatively correlated to the animal protein intake and the animal iron intake(p＜0.05 and p＜0.05). And the bone mineral density in the ultradis carpus and the average bone mineral density in the carpus were positively correlated to the plant calcium intake(p＜0.05 and p＜0.05). Therefore, more systematic studies to investigate the roles of protein, iron, and calcium in growth development of preschool children were 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 Korean Academy of Fundamentals of Nursing
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• v.20 no.3
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• pp.230-238
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• 2013

Purpose: This study was done to identify the relationship among bone mineral density (BMD), body composition and osteoporosis self-efficacy and to identify predictors of BMD in female nursing students. Method: Participants were 154 nursing students. Osteoporosis self-efficacy was determined by a self-report questionnaire. BMD was measured by ultrasound bone densitometry and body composition by a body composition analyzer. Data were collected between April 1 and 27, 2013 and analyzed using descriptive statistics, ANOVA, Scheff$\acute{e}$ test, Pearson correlation coefficient, and multiple regression with SPSS 18.0. Results: Mean BMD at the calcaneus site was $0.58{\pm}1.31$ (T-score). Incidence of osteopenia was 11.7%. Percentage of body fat (PBF)-defined obesity had higher prevalence than body mass index (BMI)-defined obesity. BMD had significant positive correlations with skeletal muscle mass (r=.226, p=.005) and fat free mass (r=.225, p=.005). The factor predicting BMD was skeletal muscle mass with 4.7% of explained variance. Conclusion: Study results indicate that of body composition components, skeletal muscle mass is the prime predicting factor for BMD. Thus to promote healthy bones, it is important to strengthen the muscles using a program, based on balanced development of all muscles.