BACKGROUND: Obesity can be considered as hyperaccumulation of body fat. Therefore, the aim to treat obesity is to decrease body fat. Abdominal total fat calculated in computed tomography is thought to be the most accurate index measuring body fat. The body mass index (BMI) and body fat mass are the representative indices also. Leptin is a protein hormone expressed by obesity gene in adipose tissue. It inhibits food intake and increases energy consumption, thereby controls obesity. With a study of relationship between plasma leptin level and body mass index and abdominal total fat area, we tried to find the usefulness of leptin as an index of adiposity. METHODS: The adiposity level was approximated by BMI, computed tomography and bioelectical impedence. To further explore the relationship with body composition, body fat distribution was determined by computed tomograph. To quantify the relationship between serum leptin level and adiposity, correlation analyses have been conducted. RESULTS: The subjects were 32 females with a BMI of over 25 kg/m2. The mean plasma leptin level was 14.2 5.9 ug/L. We investigated the correlation of plasma leptin level with subcutaneous and visceral fat. The plasma leptin level showed a significant correlation with BMI and body fat mass, and was significantly correlated with subctaneous fat (P<0.01), but not with abdominal visceral fat. CONCLUSION: A significant correlation between plasma leptin level and body fat mass was observed. The distribution of subcutaneous fat showed differences in plasma leptin level. Therefore, the plasma leptin level may be used as an index of change of body fat mass, especially subcutaneous fat.
Adipose Tissue ; Adiposity* ; Body Composition ; Body Fat Distribution ; Body Mass Index ; Eating ; Female ; Humans ; Intra-Abdominal Fat ; Leptin* ; Obesity* ; Plasma* ; Subcutaneous Fat ; Subcutaneous Fat, Abdominal

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.
Absorptiometry, Photon ; Adipose Tissue ; Body Composition ; Body Fat Distribution ; Body Height ; Child ; Follow-Up Studies ; Hematologic Neoplasms ; Humans ; Prospective Studies

OBJECTIVES: The goal of this study was to evaluate the effect of fennel on body composition. METHODS: This study is a secondary analysis of a double-blind, randomized, placebo-controlled trial. Fifty-four out of 60 patients were able to successfully complete the original study. Seven out of 54 patients were excluded because they were not overweight and obese. Thus, 47 women were included in this secondary analysis. Of these 47 women, 22 were in the fennel group and 25 were in placebo group. Body weight, body mass index (BMI) as well as fat distribution was measured at the baseline and after a three-month follow-up. RESULTS: Comparison of fennel and placebo groups did not reveal any significant effect in terms of body weight, BMI, waist and hip circumferences and fat distribution. Also, the results of paired t-test did not variation of these parameters across groups before and after 12-week treatment. CONCLUSIONS: Menopausal women in fennel group experienced a slight increase in body weight and fat distribution, which was not significant. Further studies with larger sample sizes are recommended to validate the results of this study.
Body Composition* ; Body Fat Distribution ; Body Mass Index ; Body Weight ; Female ; Foeniculum* ; Follow-Up Studies ; Hip ; Humans ; Overweight ; Postmenopause ; Sample Size

Accurate measurement of fat mass has become increasingly important with the increasing incidence of obesity. We assessed fat and muscle mass of Koreans with the Korea National Health and Nutrition Examination Survey IV (KNHANES IV). We studied 10,456 subjects (aged 20 to 85 yr; 4,476 men, 5,980 women). Fat and muscle mass were measured by dual-energy x-ray absorptiometry. Reference values of body compositions were obtained using the LMS method. The fat mass index (FMI, body fat mass/height2; kg/m2) of Korean men did not correlate with age (P = 0.452), but those of Korean women (P < 0.001) did. The ratio of percentage of fat in the trunk and legs was positively related with age in both the genders. The appendicular lean mass/height2 (kg/m2) of Korean men was negatively related to age (P < 0.001). In women, this ratio increased with age (P < 0.001). When we defined obesity according to the FMI classification, the rates of obesity were 6.1% (FMI > 9 kg/m2) in men and 2.7% (FMI > 13 kg/m2) in women. It is concluded that the muscle mass decreases and obesity increases with aging in Korean men, whereas both fat mass and obesity increase with aging in Korean women.
Absorptiometry, Photon ; Adipose Tissue ; Age Factors ; *Body Composition ; *Body Fat Distribution ; *Body Mass Index ; Body Weight ; Female ; Humans ; Male ; Nutrition Surveys ; *Obesity ; Republic of Korea

OBJECTIVE: To investigate the status of depression and social anxiety in children and adolescents, and to analyze the association between body fat distribution and depression, social anxiety in children and adolescents. METHODS: A total of 1 412 children aged 7 to 18 years in Beijing were included by stratified cluster random sampling method. Body fat distribution, including total body fat percentage (total BF%), Android BF%, Gynoid BF% and Android-to-Gynoid fat ratio (AOI), were obtained by dual-energy X-ray absorption method. Depression and social anxiety were evaluated by Children Depression Inventory and Social Anxiety Scale for Children. Multivariate linear regression and restricted cubic spline analysis were used to estimate the linear and non-linear correlation between body fat distribution and depression and social anxiety. RESULTS: 13.1% and 31.1% of the children and adolescents had depressive symptoms and social anxiety symptoms respectively, and the detection rate of depression and social anxiety in the boys and young groups was significantly lower than those in the girls and old groups. There was no significant linear correlation between total BF%, Android BF%, Gynoid BF%, AOI and depression and social anxiety in the children and adolescents. However, total BF% and Gynoid BF% had significant nonlinear correlation with depression, showing an inverted U-shaped curve relationship with the tangent points of 26.8% and 30.9%, respectively. In terms of the nonlinear association of total BF%, Android BF%, Gynoid BF% and AOI with depression and social anxiety, the change trends of the boys and girls, low age group and high age group were consistent. The overall anxiety risk HR of body fat distribution in the boys was significantly higher than that in the girls, and the risk HR of depression and social anxiety were significantly higher in the high age group than those in the low age group. CONCLUSION There was no significant linear correlation between body fat distribution and depression and social anxiety in children and adolescents. Total BF% and depression showed an inverted U-shaped curve, mainly manifested in Gynoid BF%, and this trend was consistent in different genders and different age groups. Maintaining children and adolescents' body fat distribution at an appropriate level is the future direction of the prevention and control of depression and social anxiety in children and adolescents.
Humans ; Female ; Child ; Male ; Adolescent ; Cross-Sectional Studies ; X-Rays ; Depression/epidemiology* ; Absorptiometry, Photon/methods* ; Body Mass Index ; Body Fat Distribution ; Anxiety/epidemiology* ; Adipose Tissue ; Body Composition

This study was to investigate the effects of a silk peptide, and prune and raspberry mixture on the body fat, serum lipid composition and fat distribution in Korean women during the time they received these supplements. During the 4 month period of this research (June to October, 2002), 75 women (average age 22.9 yr) were selected as subjects. Their nutrient intake was investigated by use of a questionnaire and the 24-hour recall method. Antropometric assessments of the subjects were investigated by using the SBIA Method (Segmental Bioimpedance Assay, Inbody 3.0). The results were as follows: their mean body weight was 59.3 kg, their mean body height was 161.7 cm and their mean Basal Metabolic Indices (BMI) was 22.7. The status of their dietary fiber intake significantly increased (p<0.05) after use of the supplements. Their body fat significantly decreased following the 3rd stage of supplementation (p<0.05), and their percent of body fat signiflcantly decreased after supplementation (p<0.05). Their triceps and suprailiac circumference significantly decreased following the 3rd stage of supplementation (p<0.05). Their waist circumferences and waist-hip ratios (WHR) significantly decreased after both the 2nd and 3rd stage of supplementation (p<0.05). Their total cholesterol significantly decreased following the 3rd stage of supplementation, as compared to their baseline results and those obtained following the 1st stage of supplementation (p<0.05). Their LDL-cholesterol and LDL/HDL ratios significantly decreased following the 3rd stage of supplementation, as compared to their baseline results and those obtained following the 1st stage of supplementation (p<0.05). Their 4-HNE and total antioxidant statuses significantly decreased following the 2nd and 3rd stage of supplementation, as compared to their baseline results and those obtained following the 1st stage of supplementation (p<0.05). Their 2nd stage supplementation results were significantly negatively correlated with their triceps measurements and WHR (p<0.05). Their 3rd stage supplementation results were significantly negatively correlated with their anterior thigh measurements (p<0.05). The above results show that prune, raspberry, silk peptide and dietary fiber supplementation to a routine diet improves body fat distribution, total cholesterol, and triglyceride levels. The decrease of abdominal fat and WHR were especially noteworthy. This implies a decrease of risk factors.
Abdominal Fat ; Adipose Tissue ; Body Composition ; Body Fat Distribution ; Body Height ; Body Weight ; Cholesterol ; Diet ; Dietary Fiber ; Female ; Humans ; Leptin* ; Risk Factors ; Silk ; Thigh ; Triglycerides ; Waist Circumference ; Waist-Hip Ratio ; Surveys and Questionnaires

OBJECTIVE: In Korea, only a few reports were introduced about body fat mass of women with using the Dual energy X-ray absorptiometry (DEXA), highly sensitive and specific measurement for fat mass analysis. This study was carried out to determine whether total and regional body composition changes measured by DEXA were more related to age or to menopause. METHODS: One hundred fifteen postmenopausal women who had never received estrogen replacement therapy were enrolled in Menopausal Clinic from January 2001 to April 2002. BMD and body composition were measured by DEXA. The proportions of android and gynoid fat were calculated in all women and differences were sought by ANOVA test, Pearson correlation and multiple linear regression. RESULTS: They were classified as perimenopausal women (n=31), young postmenopausal women (n=60) or old postmenopausal women (n=24). Bone mineral content (BMC), BMD, leg lean body mass and gynoid fat were significant differences among three groups. In multiple linear regression, age was a predictor of total, trunk and leg BMC (p<0.01), total, L2-4 and proximal femur BMD (p<0.01), total, arm and trunk fat percentage of total body mass and trunk regional fat percentage of regional tissue (p<0.05), whereas years since of age was not a predictor of any of the body composition variables. CONCLUSION: The findings of this study suggest that BMC, BMD and body fat distribution with a shift toward a more central location in postmenopausal women. This change appears to be more related to age than to menopause.
Absorptiometry, Photon ; Adipose Tissue ; Arm ; Body Composition* ; Body Fat Distribution ; Bone Density ; Estrogen Replacement Therapy ; Female ; Femur ; Humans ; Korea ; Leg ; Linear Models ; Menopause*

BACKGROUND: The aim of this study was to investigate the association between regional body fat distribution, especially leg fat mass, and the prevalence of diabetes mellitus (DM) in adult populations. METHODS: A total of 3,181 men and 3,827 postmenopausal women aged 50 years or older were analyzed based on Korea National Health and Nutrition Examination Surveys (2008 to 2010). Body compositions including muscle mass and regional fat mass were measured using dual-energy X-ray absorptiometry. RESULTS: The odds ratios (ORs) for DM was higher with increasing truncal fat mass and arm fat mass, while it was lower with increasing leg fat mass. In a partial correlation analysis adjusted for age, leg fat mass was negatively associated with glycosylated hemoglobin in both sexes and fasting glucose in women. Leg fat mass was positively correlated with appendicular skeletal muscle mass and homeostasis model assessment of β cell. In addition, after adjusting for confounding factors, the OR for DM decreased gradually with increasing leg fat mass quartiles in both genders. When we subdivided the participants into four groups based on the median values of leg fat mass and leg muscle mass, higher leg fat mass significantly lowered the risk of DM even though they have smaller leg muscle mass in both genders (P<0.001). CONCLUSION: The relationship between fat mass and the prevalence of DM is different according to regional body fat distribution. Higher leg fat mass was associated with a lower risk of DM in Korean populations. Maintaining leg fat mass may be important in preventing impaired glucose tolerance.
Absorptiometry, Photon ; Adipose Tissue* ; Adult ; Arm ; Body Composition ; Body Fat Distribution* ; Diabetes Mellitus* ; Fasting ; Female ; Glucose ; Hemoglobin A, Glycosylated ; Homeostasis ; Humans ; Korea ; Leg ; Male ; Muscle, Skeletal ; Odds Ratio ; Prevalence

No abstract available.
Body Composition ; Body Mass Index ; Myostatin ; Adiposity ; Obesity ; Muscle, Skeletal ; Muscular Diseases

With the increase in the prevalence of overweight and obesity worldwide, early adiposity rebound, which is known to have a strong association with obesity, has recently been a focus of research. Early adiposity rebound is conventionally known to have a close relationship with non-communicable diseases. However, novel insights into early adiposity rebound have implied an acceleration of growth and puberty, which is directly reflected in the trends in the timing of adiposity rebound, in the 21st century compared with in the past. Furthermore, the observation that lean mass changes rather than fat mass changes show a more similar pattern to body mass index trajectories is interesting. In this article, the later outcomes and risk factors of early adiposity rebound are briefly summarized, and the current trends in the timing of adiposity rebound and novel insights into its relationship with body composition are reviewed.
Acceleration ; Adiposity* ; Adolescent ; Body Composition ; Body Mass Index ; Child* ; Humans ; Obesity ; Overweight ; Prevalence ; Puberty ; Risk Factors