• 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.

• 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.

• Journal of Korean Medicine for Obesity Research
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• v.17 no.2
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• pp.87-95
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• 2017

Objectives: This study was conducted to evaluate efficacy and safety of Punica granatum L. Actinidia chinensis Planch. mixed extract on body fat. Methods: Thirty women were recruited ($25kg/m^2{\leq}body$ mass index [BMI]${\leq}29.9kg/m^2$) ($19yr{\leq}age{\leq}38yr$) and randomized to receive Punica granatum L. Actinidia chinensis Planch. mixed extract or placebo for 8 weeks. During the test, they visited four times including screening. Body fat mass, body fat rate, anthropometric dimensions at waist and hip, waist-hip ratio, total cholesterol, triglyceride, low density lipoprotein-cholesterol (LDL-C), and high density lipoprotein-cholesterol (HDL-C) were measured at screening and 8 weeks after screening. Adverse reaction were also checked each visit. Results: There were no significant differences in all index. But when divide experimental group by BMI index, age, and compliance, less than BMI $27kg/m^2$ group decreased body weight, body fat mass and more than BMI $27kg/m^2$ group also decreased body weight, body fat mass and waist circumference. Less than age 30 years group showed decline of waist circumference, fat free rate and T-cholesterol and more than age 30 years group showed decline of fat free mass. Group with compliance more than 95% was decreased BMI, fat free mass, and hip circumference. Conclusions: There was no significant efficacy as compared with placebo group, but as divide experimental group according to BMI index, age, compliance, mixed extract might be effective to reduce obesity index.

• Clinical and Experimental Pediatrics
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• v.50 no.7
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• pp.629-635
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• 2007

Purpose : This study was conducted to assess the usefulness of fat-free mass index (FFMI) and fat mass index (FMI) as novel expression methods of body composition in children. Methods : A total of 466 Second grade students-248 boys and 218 girls- from all elementary schools the Gwacheon City underwent anthropometric measures including bioelectrical impedance analysis (BIA) and biochemical tests. The correlation coefficients between obesity indices, including FMI and FFMI, and metabolic risk factors, were assessed. Metabolic risk factors of children with increased FMI were compared with those of children with normal FMI. We compared FMI and FFMI percentile distribution between this study's subjects and the subjects of the Fukuoka body composition study. Results : FMI was lower and FFMI was higher in this study's subjects compared to the subjects of the Fukuoka body composition study. FMI was correlated with other obesity indices and several metabolic risk factors. Metabolic risk was higher in children with increased FMI than in children with normal FMI. Conclusion : FMI and FFMI were useful indicators in comparing difference of body composition among children that had different body size and growth. High FMI was related to increase of metabolic risk in children.

• Journal of Korean Academy of Nursing
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• v.33 no.3
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• pp.405-413
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• 2003

Purpose: This study was performed to investigate effects of behavior modification on obesity index, skinfold thickness, body fat, serum lipids, serum leptin in obese elementary school children. Method: Forty seven students were selected from two elementary schools. Twenty four children in one school were assigned to experimental group and twenty three children in another school were assigned to control group. Experimental group was received 60～70 minutes of behavior modification once a week for 8 weeks. Result: Obesity index of the experimental group was significantly decreased after behavior modification. But there was no significant difference between two groups. The increase of skin fold thickness was significantly low in the experimental group compared to the control group. Percentage of body fat and fat mass were significantly decreased in the experimental group. Fat free mass was significantly increased in the experimental group. HDL-C, triglyceride and serum leptin between the experimental group and control group showed no significant difference. Conclusion: These results indicate that behavior modification is effective in decreasing percentage of body fat and fat mass, in less increasing skinfold thickness and in increasing fat free mass. In conclusion, behavior modification can be used as effective strategy for managing obesity in elementary school children.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• v.23 no.2
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• pp.163-173
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• 2020

Purpose: This study aimed to investigate the clinical and metabolic determinants of circulating soluble leptin receptor (CSLR) and free leptin index (FLI) in pre-pubertal obese male children. Methods: We conducted a preliminary cross-sectional study at three tertiary hospitals and one public primary school. Eighty obese male children without growth and developmental abnormalities aged 5-9 years were recruited. In these children, obesity was solely caused by excessive food intake, and not by acute illness, medications, endocrine abnormalities, or any syndrome. Body mass index (BMI), body fat mass, carbohydrate intake, fat intake, high density lipoprotein cholesterol level, low density lipoprotein cholesterol level, triglyceride level, and Homeostatic Model Assessment for Insulin Resistance are the potential determinants for leptin regulation, which is represented by CSLR level and FLI. Results: Carbohydrate was the main source of energy. BMI and body fat mass had negative weak correlation with CSLR and positive weak correlation with FLI. Furthermore, carbohydrate intake was found to be independently associated with CSLR based on the results of the multiple linear regression analysis. Following an increase in carbohydrate intake, CSLR level decreased progressively without any negative peak. Conclusion: Leptin regulation in prepubertal obese male children is associated with body composition and dietary intake. Carbohydrate intake is useful for predicting CSLR. Lipid profiles and insulin resistance are not related to both CSLR and FLI. Treatment and prevention of leptin resistance in obese children should focus on reducing BMI, fat mass, and carbohydrate intake.

• 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.

• Journal of Nutrition and Health
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• v.32 no.2
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• pp.189-196
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• 1999

This study was conducted to investigate the relationships among the levels of fasting serum insulin, free fatty acid, lipids and anthropometry in normal-weight female college students. Serum insulin and free fatty acid levels were negatively correlated. However, insulin, triglyceride, and cholesterol levels were not correlated with fat mass or BMI(body mass index). The ability of anthropometric and biochemical indicators to predict fatness could be important for epidemiologic and clinical research. In the subjects, waist cirumference was correlated with BMI, fat mass and percent body fat, and HDLC/CHOL (high density lipoprotein cholesterol/cholesterol)was correlated with body weight, BMI, and fat mass. Our data suggests than waist circumference and HDLC/CHOL are predictors of fatness, whereas WHR apears to be a less important contributor to fatness in female college students.

• Journal of Yeungnam Medical Science
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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.

• Korean Journal of Community Nutrition
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• v.13 no.3
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• pp.323-333
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• 2008

The aim of this study was to measure and compare nutrient intake, anthropometric measurements and serum indices by percent body fat as one of the index of obesity degree in female college students. Additionally we attempted to investigate percentile distribution of fat free mass index (FFMI) and fat mass index (FMI) for developing reference values for these two parameters. The subjects were 91 female college students who were classified to 4 groups according to the percentile of percent body fat (Group1: 25 th < percentile of percent body fat, Group 2 : 25 th ${\le}$ percentile of percent body fat < 50 th, Group 3 : 50 th ${\le}$ percentile of percent body fat < 75 th, Group 4 : percentile of percent body fat ${\ge}$ 75 th). The mean percent body fat and body mass index were 28.2%, $20.5 kg/m^2$ respectively. The mean energy intake was 1707 kcal(81% of KDRIs) and vitamin C, folate, Ca and Zn intake were 73.9%, 54.7%, 79.6%, 97.5% of KDRIs respectively. Most nutrient intake (energy, carbohydrate, cholesterol, fatty acid, Ca, Fe) of G4 was lower than that of G1, G2 and G3. Serum HDL-cholesterol concentration was significantly lower in G4 than G1, G2, G3 and it tended to increase as percent body fat decreased. LDL/HDL, A1 of G4 were significantly the highest among the 4 groups and increased as percent body fat increased. The mean fat free mass index and fat mass index were $14.5 kg/m^2$, $6.0 kg/m^2$ respectively. The criteria of sarcopenic obesity which has been defined as under 25 th percentile of FFMI and below 75 th percentile of FMI were shown $12.8 kg/m^2$, $8.2 kg/m^2$ respectively in this study. In conclusion, we should continue to more systematically research on the studies of new obesity measurement which includes FFMI and FMI as one of the variables. And the public education for weight control that emphasizes both the understanding of body composition and the importance of nutrition balance is also required.