• Title, Summary, Keyword: fat mass

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Effects of High Fat Diet on Serum Leptin and Insulin Level and Brown Adipose Tissue UCP 1 Expression in Rats (흰쥐에서 고지방식이가 혈중 렙틴 및 인슐린과 갈색지방조직의 UCP 1 발현에 미치는 영향)

  • 홍경희;강순아;김소혜;조여원
    • Journal of Nutrition and Health
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    • v.34 no.8
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    • pp.865-871
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    • 2001
  • The adipose tissue hormone leptin has been proposed to be involved in the regulation of flood intake and energy expenditure via thermogenesis by uncoupling protein(UCP) in brown adipose tissue(BAT). The objective of the study was to examine the effects of high fat diet on the serum leptin levels, BAT UCPl expression and the body fat mass in rats after weaning. During experimental period of 12 weeks, 4 male Sprague-Dawley rats were killed for the baseline experiment at 4 weeks of age while the remaining rats were fed the two different diets: the control diet AIN-76A(n = 20), high fat(beef tallow) diet(n = 20) ad libitum, which provided 11.7% or 40% of calories as fat, respectively. At 16 weeks of age, the increase in the food efficiency ratio(FER) was related to fat mass in rats on high fat diet. Serum leptin level was increased by age and dietary high fat. There was no difference in serum insulin level between groups until 10 weeks of age, but rats fed high fat diet for 12 weeks showed hyperinsulinemia. The amount of body fat pads was increased significantly in high fat group compared to normal diet group. Visceral fat mass affected acutely by high fat diet, as a result, it was higher in rats fed high fat diet for 2 weeks than normal diet. At 16 weeks of age, BAT and visceral fat mass were significantly high in high fat group. Also, the serum leptin levels reflected the amount of body fat mass. BAT UCPI mRNA expression increased with age and dietary high fat. This study demonstrates that dietary high fat increased serum leptin levels, BAT UCPI expression and body fat mass. Futhermore, in rats fed high fat diets, the increases in leptin and UCPI expression counteracts only in part the excess adiposity and 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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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.

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.

Anthropometric and Body Compositional Measurements and Pregnancy Outcomes (임신부의 체위와 체조성 및 임신의 결과)

  • 이종임;임현숙;조영숙
    • Journal of Nutrition and Health
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    • v.31 no.6
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    • pp.1057-1065
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    • 1998
  • Anthropometric and body compositional changes and the outcomes of the pregnancies of 90 healthy Korean women were investigated in a longitudinal study. Their weight increased from 51.3$\pm$5.9kg to 65.1$\pm$7.8kg during their pregnancies. The total weight gain was 13.8$\pm$4.5kg, and therefore, weekly weight gain was 340$\pm$110g during the entire period of the pregnancy. The weight gain was composed of approximately 50-60% fat mass and 40-50% fat-free mass. Skinfold thicknesses, both of triceps and subscapular, increased during the pregnancies. The fat mass calculated from skinfold thickness and that measured with bioelectrical impedance analysis went on increasing during the pregnancies. Although there was a considerable difference with respect to the fat mass observed using the three methods, fat mass gain was 5.0-6.1kg and fat-free mass gain was 4.0-5.3kg from the first trimester to the third trimester of pregnancies. There were significant correlations between maternal anthropometric parameters and indices of pregnancy outcomes. Especially, the infant's birth weight was associated with maternal pre-pregnancy weight and weight gains during the pregnancies. The infant's birth length was related to the maternal weight observed at term(p<0.05) and weight gain during the entire pregnancies (p<0.05) . Neither increase of fat mass nor fat-free mass affected the outcomes of pregnancy. These results show that maternal weight gain during pregnancy is led by increments of approximately above 50% fat mass. The fat mass increase seems to be larger in central areas than in subcutaneous areas. Maternal weight gain during pregnancy, especially during late pregnancy, is a factor affecting the birth weight and length of infant. On the basis of the body compositional changes, it can be predicted that the additional energy requirement for pregnancy in Korean women is more than 200-230 MJ (64,500-76,250kca1). (Korean J Nutrition 31(6) : 1057-1065, 1998)

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Effect of a Pholiota adiposa Extract on Fat Mass in Hyperlipidemic Mice

  • Cho, Soo-Muk;Lee, Young-Min;Lee, Dae-Hyoung;Chun, Hye-Kyung;Lee, Jong-Soo
    • Mycobiology
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    • v.34 no.4
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    • pp.236-239
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    • 2006
  • The purpose of this study was to investigate the effect of a Pholiota adiposa extract on fat mass in hyperlipidemic mice fed on a high-fat diet. The water extracts from P. adiposa (ASI 24018) were not affected in the total triglyceride contents and epididymal fat mass in mice fed on a high-fat diet, but the retroperitoneal fat mass decreased significantly. This result suggests that the P. adiposa extract may be a potential candidate for use as a functional food that can act as a prophylactic against hyperlipidemia. However, the P. adiposa extract showed no effect in the total triglyceride contents and epididymal fat mass.

Prediction model of hypercholesterolemia using body fat mass based on machine learning (머신러닝 기반 체지방 측정정보를 이용한 고콜레스테롤혈증 예측모델)

  • Lee, Bum Ju
    • The Journal of the Convergence on Culture Technology
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    • v.5 no.4
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    • pp.413-420
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    • 2019
  • The purpose of the present study is to develop a model for predicting hypercholesterolemia using an integrated set of body fat mass variables based on machine learning techniques, beyond the study of the association between body fat mass and hypercholesterolemia. For this study, a total of six models were created using two variable subset selection methods and machine learning algorithms based on the Korea National Health and Nutrition Examination Survey (KNHANES) data. Among the various body fat mass variables, we found that trunk fat mass was the best variable for predicting hypercholesterolemia. Furthermore, we obtained the area under the receiver operating characteristic curve value of 0.739 and the Matthews correlation coefficient value of 0.36 in the model using the correlation-based feature subset selection and naive Bayes algorithm. Our findings are expected to be used as important information in the field of disease prediction in large-scale screening and public health research.

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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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.