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The Effect of the Difference Between Natural Protein and Whey Protein Intake During the 12 weeks of Resistance Training Exercise on Changes in Solt Lean Mass and Body Composltion (12주저항트레이닝 운동시 천연단백질과 분리유청단백질 섭취의 차이가 근육량 및 신체구성에 미치는 영향)

  • PARK, Won-Deok
    • 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.

Association of Body Composition with the Development of Airway Hyper-Responsiveness (메타콜린을 이용한 기도 과민반응과 체성분과의 관계)

  • Jin, Hyun-Jung;Shin, Kyeong-Cheol;Chung, Jin-Hong;Lee, Kwan-Ho
    • Tuberculosis and Respiratory Diseases
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    • v.70 no.3
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    • pp.235-241
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    • 2011
  • Background: The rising prevalence of asthma may be associated with the rising prevalence of obesity in developed nations. There are several studies showing that obesity increases the risk of asthma in adults. We investigated the association of each body composition scale and bronchial hyper-responsiveness. Methods: This study involved a retrospective review of the existing records for 279 subjects with respiratory symptoms, who underwent a pulmonary function test, a methacholine challenge test and a body composition test between May 2007 and June 2009. Results: Of the 279 subjects, 179 (64%) were female. There was a statistically significant difference in fat free mass and in fat free mass index between the normal bronchial responsiveness group and bronchial hyper-responsiveness group (p=0.036; p=0.000). There was no significant differences in body mass index, in fat mass and fat free mass index in the normal bronchial responsiveness group and bronchial hyper-responsiveness group in males. However in females, body mass index and fat free mass index were increased in the bronchial hyper-responsiveness group (p=0.044; p=0.000). Total body water (kg), fat free mass (kg) and soft lean mass (kg) were significantly different between the normal bronchial responsiveness group and bronchial hyper-responsiveness group (p=0.002; p=0.000; p=0.000). Conclusion: This study showed significant differences in fat free mass and in fat free mass index between the normal bronchial responsiveness group and the bronchial hyper-responsiveness group. In females, BMI, soft lean mass, and total body water showed significant differences between the normal bronchial responsiveness group and the bronchial hyper-responsiveness group. We concluded that bronchial hyper-responsiveness was associated with not only body mass index but also fat free mass index in female bronchial asthma.

Correlation of the Rate of Obesity and Blood Lipids According to Obesity Index in Rural Post-menopausal Women (농촌 폐경 후 여성의 비만 지표에 따른 비만율 비교 및 혈중 지질과의 상호관련성)

  • Choe, Joeng-Sook;Kim, Eun-Kyung;Park, Young-Hee
    • Journal of the Korean Society of Food Culture
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    • v.26 no.6
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    • pp.727-733
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    • 2011
  • This study was performed to examine the relationship between the body mass index (BMI), the body fat, and the serum lipids of post-menopausal women in rural areas. The subjects were 510 women aged 50 and over. As a result of this study, we found a trend of decreasing BMI as age increased, but body fat increased. In addition, there was a significant decreasing of the lean body mass than an increasing of the body mass index according to increasing age. Therefore, this study confirmed that a main cause of rural women being classified as obese is a decrease in lean body mass, rather than an increase in of body fat. Of all subjects, 36.3% ($18.5{\leq}BMI$ < 23) of all subjects were classified as having normal BMI, whereas only 21.4% were classified as having normal body fat. Out of 190 subjects who were body fat 30% and over, 38 subjects were classified as obese ($BMI{\geq}25$) and 113 subjects were classified as overweight ($23{\leq}BMI$ < 25). The percentile of those with a BMI of $25kg/m^2$ was 70, and they had 30.82% body fat. HDL cholesterol showed a negative correlation with anthropometric factors (height, weight, body mass index, waist circumference, waist hip ratio, body fat), and total cholesterol, LDL cholesterol, and triglycerides showed a positive correlation. Especially, total cholesterol, LDL cholesterol, and hip circumference showed significant correlations. Because of differences in the body fat and lean body mass by age group, it seems difficult to assess obesity via BMI only. The elderly especially should have a higher significance placed on body fat or abdominal fat than only BMI.

A Study on the Validation of Somatotype Drawing as a Instrument of Measuring Obesity Level by Body Component Analysis (생체전기임피던스법을 이용한 체성분 분석에 의한 신체외형도(Somatotype Drawing)의 타당성 연구 - 비만평가도구로서의 타당도 평가 -)

  • Lee Seoung Eun;Jung Young Mi;Chung Kil Soo
    • Journal of Korean Public Health Nursing
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    • v.18 no.2
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    • pp.299-311
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    • 2004
  • Purpose: Somatotype drawing developed by Sorensen et al.(1983) has been evaluated as a simple instrument of obesity level without real somatic measuring as height and weight. This study was designed to validate somatotype drawings for obesity assessment by bioelectrical impedance body component analysis. Method: At first questionnaire of somatotype drawing was done. Subjects were measured body component by bioelectrical impedance analysis as weight, BMI(body mass index), WHR(waist-hip ratio), body water, protein mass, mineral mass, body fat mass, skeletal muscle mass, soft lean mass, fat free mass and percent body fat. We evaluated correlations between these data and somatotype drawings and tried to grouping of somatotype drawings with the means of major body component value. Result: The data were collected from 205 college women whose height and weight were $161.2\pm4.8,\;55\pm8.3$. Spearman's correlation coefficients of somatotype drawing were 0.74 with BMI, 0.68 with weight 0.69 with body fat mass, 0.65 with WHR. 0.64 with percent body fat after adiusted age. The grade of somatotype drawings were grouped as 1-2, 3-4, 5-6. 7-9 by BMI, body fat mass, weight, 1, 2-4, 5-6, 7-9 by WHR and 1-2, 3-4, 5-9 by percent body fat(ANOVA and Duncan's method). Conclusion: So quick instrument using somatotype drawings were useful tools for evaluation of obesity level and is applicable to screen degree of body fat in self-administered questionnaire survey.

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Body Composition of Male College Students by Standard Guideline for Korean Dietary (식생활 실천 지침에 따른 남자 대학생의 체성분 분석)

  • Chung Hee-Chung;Chang Kyung-Ja
    • Journal of the East Asian Society of Dietary Life
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    • v.16 no.3
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    • pp.261-271
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    • 2006
  • To study the correlation with increasing body fat mass for the Standard Guideline for Korean Dietary Life, a nationwide, cross-sectional survey was performed with 178 male college students in december 2005. Among the student subjects, 76 were analyzed for body protein mass, body mineral mass, body fat mass, percent body fat, waist-hip ratio(WHR), body mass index(BMI) and obesity degree using Inbody 3.0(Biospace Co, Seoul, Korea). Body protein mass was at a high level of 92.1%, body mineral mass was at a low level of 94.7%. Body fat mass was at a high level of 28.9%, percent body fat was at a high level of 37.3%, WHR was at a high level of 31.6%, and obesity degree was at a high level of 38.2%, BMI was at a high level of 24.3% and BMR was observed at a high level of 41.8%. WHR was correlated with '7. Prepare food proper amount sanitarily.' and obesity degree, while BMl was were correlated with '4. Increase movement and eat proper amount.' positively. BMR was correlated with '6. Enjoy 3 meal a day regularly.' ArmCircle was correlated with '4. Increase movement and eat proper amount.' and fitness score was corrected with '4. Increase movement and eat proper amount', and '8. Enjoy Korean rice food style.' positively. Body protein mass and body mineral mass were negatively correlated with fruit, ArmCircle was positively correlated with fish, obesity degree was positively correlated with soup and BMI and ArmCircle were positively correlated with sweet. '8. Enjoy Korean rice food style.' was negatively significantly correlated with overweight, over percentage body fat, obesity degree > 120 and BMI. Male students were not practicing the Standard Guideline for Korean Dietary Life well with an average score of 37.7%. However, male students who are within the normal range of body composition analysis value have to notice that over range of weight, protein, percentage body fat, WHI and obesity degree was observed above average score of 30%.

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Correlation between Body Composition and Lung Function in Healthy Adults (정상 성인의 신체조성과 폐 기능의 연관성)

  • Kim, Hyunseung;Cho, Sunghyoun
    • Journal of The Korean Society of Integrative Medicine
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    • v.8 no.2
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    • pp.53-61
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    • 2020
  • Purpose : We investigated the correlation between body composition and lung function in healthy adults. Methods : This study included 204 healthy adults in whom all measurements were obtained once, and all data were analyzed using the SPSS software for Windows, version 22.0. Pearson's correlation analysis was performed to determine the correlation between body composition (represented by the total body water, protein mass, soft lean mass, mineral mass, basal metabolic rate, fat-free mass, skeletal muscle mass, and body fat percentage) and lung function (represented by the forced vital capacity [FVC], forced expiratory volume in 1 second [FEV1], the FEV1/FVC ratio, maximum voluntary ventilation [MVV], maximum expiratory pressure [MEP], and the maximum inspiratory pressure [MIP]). All measurements were obtained by two investigators to improve reliability. A significance level of α=.05 was used to verify statistical significance. Results : Among the lung function measurements obtained in both men and women, the FVC, FEV1, MVV, and MIP were positively correlated with the total body water, protein mass, soft lean mass, mineral mass, basal metabolic rate, fat-free mass, and skeletal muscle mass in men (p<.05). The FEV1/FVC ratio was negatively correlated with the total body water, soft lean mass, mineral mass, basal metabolic rate, fat-free mass and the body fat percentage (p<.05). Notably, the FVC, FEV1, and MVV were positively correlated with the total body water, protein mass, soft lean mass, mineral mass, basal metabolic rate, fat-free mass, and skeletal muscle mass in women (p<.05). Conclusion : This study showed a significant correlation between body composition and lung function in healthy adults. In combination with future studies on lung function, our results can provide objective evidence regarding the importance of prevention of lung disease, and our data can be utilized in rehabilitation programs for patients with respiratory diseases.

Effects of Body Build on Metabolic and Physiological Function in Men and Athletes - 1. Especially on the Metabolic Function -

  • Lee, Ok-Hee;Lim, Soon-Gill;Lee, Jung-Hee
    • Nutritional Sciences
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    • v.2 no.2
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    • pp.93-101
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    • 1999
  • The aim of this study was to investigate influence of body build on body composition, energy metabolic state and insulin concentration of blood. 29 male athletes and 36 male non-athletic students were recruited for the study. Anthropometry including chest depth and breadth, fat mass, fat fee mass, tricep skinfold thickness were measured. fasting glucose, lactate, triglyceride, fee fatty acid, and insulin concentration in serum were measured . Body build was assessed using metric index, which calculated by regression equations of Mohr and Greil. The athletic and non-athletic students were allocated to 3 body build, that is leptomorph, mesomorph, and pyknomorph. Resting metabolic rate was calculated. Respiratory quotient was determined through ratio of measured VO$_2$, and V$CO_2$. Most non-athletes have a leptomorphic body build, in contrast to athletes mesomorphic type. The body build type influenced body composition differently between non-athletic group and athletic group. Weight, body mass index, body fat mass and fat mass proportion (%), and fat-free mass increased from leptomorph to pyknormorph in non-athletic group. Pyknormorphic athletes have a significant higher body mass index, fat mass, fat free mass than other body build type. Serum glucose, triglyceride, lactate, insulin showed significant differences only in non-athletic group between leptomorph and mesomorph. RMR increased significantly from leptomorph to mesomorph in non-athletes. There was no significant difference of RQ among 3 body build types in both athletes and non-athletes. This study gives a coherent data on body build and body composition for athletes and non-athletes students. The influence of body builds on energy metabolic status of serum was different between athletes and non-athletes.

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Assessment of Anthropometric Obesity Indexes by Correlation with Body Composition (비만치료에 유용한 단순비만지표의 선별)

  • Ryu, Su-Min;Shin, Seung-Uoo;Kim, Kil-Soo;Shim, Woo-Jin
    • Journal of Korean Medicine for Obesity Research
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    • v.6 no.1
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    • pp.69-80
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    • 2006
  • Object : Waist circumference(WC), waist-hip ratio(WHR), waist-stature ratio(WSR), and body mass index(BMI) are commonly used for evaluating obesity. This Research were done to determine what is more sensitive obesity indexes(WC, WHR, WSR, BMI) Correlated with body composition such as body fat mass, body fat(%), visceral fat area, and fat free mass. And what is more sensitively correlated obesity indexes with % changes of body composition during weight reduction treatment. Methods : This clinical retrospective research were carried out 127 cases of female obese outpatients with weight reduction treatment during 1 month. Bioelectrical impedence analysis(for body composition) and body size(for anthropometric obesity indexes) were estimated in pre-treatment and post-treatment to evaluate the obesity indexes. Pearson correlation coefficients were used to select useful obesity index. Result & Conclusion : BMI is useful index for diagnosis and evaluation of obesity. WSR is sensitively correlated with visceral fat area and body fat(%). So, WSR is useful index for evaluating abdominal obesity and risk factors of metabolic syndrome. WC is correlated with both body fat mass and fat free mass. WHR is not optimal for diagnosis and evaluation of obesity.

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The Relationship Between Body Composition and Bone Mineral Density in Postmenopausal Women (폐경 후 여성에서 체성분과 골밀도와의 관계)

  • Chae, Jin-Wook;Kim, Il-Hoe;Kwon, Woo-Sung;Lee, Keun-Mi;Jung, Seung-Pil;Moon, Yong
    • Yeungnam University Journal of Medicine
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    • v.20 no.1
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    • pp.53-61
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    • 2003
  • Background: Body weight is an important factor that influence the bone density in postmenopausal women except estrogen dificiency. However, different results are reported about the relationship between body composition and bone density in the postmenopausal women. We have studied the relationship between age, body weight, body mass index (BMI), waist hip ratio (WHR), muscle mass, fat mass, fat free mass and bone density. Materials and Methods: We have studied 127 persons of postmenopausal women who visited university medical center and examined the inbody 3.0 and Dual Energy X-ray Absorptiometry (DEXA) from Jan, 2001 to Jun, 2002. they didn't have any disease and didn't received hormone therapy, osteoporosis therapy or other medication that influence the bone density. Results: The numbers of study subjects is total 127 persons. Mean age is $56.9{\pm}5.14$, mean weight is $59.3{\pm}8.7kg$, mean BMI is $25.37{\pm}3.16(kg/m^2)$, mean fat mass is $20.02{\pm}5.05kg$, mean muscle mass is $37.49{\pm}4.50kg$, mean fat free mass is $39.80{\pm}4.70$, mean BMD is $0.828{\pm}0.148(g/cm^2$). In the result of linear regression analysis, age, height, weight, muscle mass, fat free mass, fat mass, BMI are significant determinants of BMD. In stepwise multiple regression analysis, age is the most significant determinant of BMD and besides age, fat free mass is the most significant determinant of BMD among body composition. Conclusion: In postmenopausal women, age, height, weight, BMI, muscle mass, fat free mass, fat mass are significant determinants of BMD and besides age, fat free mass is the most significant determinant of BMD among the body composition. So, diet and exercise that increase fat free mass will contribute to bone density increment.

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A prospective study on changes in body composition and fat percentage during the first year of cancer treatment in children

  • Yang, Hye Ran;Choi, Hyoung Soo
    • 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.