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PubMed1976

Body composition of the reference fetus.

Published data from chemical analyses of human fetuses have been utilized to construct a reference fetus of representative body composition. For gestational ages 24 through 40 weeks, body composition of the reference fetus is presented, including water, lipid, protein and major minerals. Concentrations of water, sodium, and chloride per unit of body weight decrease with increasing gestational age, whereas those of protein, lipid, calcium, phosphorus, magnesium and potassium increase. From the estimates of body composition at each age and from the gain in body weight, composition of gain and daily increments of body components have been calculated.

Adipose Tissue↗

PubMed2006

Characterization of the metabolic phenotypes of Cushing's syndrome and growth hormone deficiency: a study of body composition and energy metabolism.

OBJECTIVE: A comparison of the severity and distribution of perturbations in body composition and their relationship to energy metabolism in glucocorticoid excess and GH deficiency (GHD) has not been undertaken before. The aim of this study was to investigate the impact of Cushing's syndrome (CS) and GHD on whole and regional body composition and energy metabolism. DESIGN: Cross-sectional study design. PATIENTS: Eighteen subjects with CS (12 women, aged = 41.5 +/- 3.0 years, 24-h urinary free cortisol = 1601 +/- 361 nmol/day, normal < 300 nmol/day), 22 subjects with GHD (14 women, age = 42.9 +/- 2.9 years) and 18 normal subjects (11 women, age = 46.8 +/- 2.8 years). MEASUREMENTS: Lean body mass (LBM), fat mass (FM) and regional body composition were assessed by dual-energy X-ray absorptiometry (DEXA). Resting energy expenditure (REE) and fat oxidation (Fox) were assessed by indirect calorimetry. RESULTS: Mean percentage FM was significantly greater by 30% in CS (P = 0.002) and 22% in GH-deficient subjects (P = 0.014) than in normal subjects. LBM was significantly lower by 15% in CS (P = 0.002) and 11% in GHD (P = 0.013). In CS, the proportion of lean tissue in the limbs was 12% less than in normal (P = 0.001) and GH-deficient subjects (P = 0.0005). Truncal fat represented a greater proportion of total FM in CS (52.5 +/- 1.8%vs. 46.9 +/- 1.3%, P = 0.014) than in normal subjects, but not in GHD. REE and Fox, corrected for LBM, were significantly lower in GHD (P < 0.02 for both vs. normal) but not in CS. CONCLUSION: FM was higher and LBM lower in both CS and GHD. However, there is a greater abnormality of regional body composition in patients with CS who exhibit a lower limb lean mass and a greater truncal fat. Reduced REE and Fox contribute to increased adiposity in GHD. As REE and Fox are not perturbed in CS, other mechanisms must explain the marked gain in truncal and total fat.

Absorptiometry, Photon↗

PubMed2002

The effects of lipid location on non-invasive estimates of body composition using EM-SCAN technology.

We evaluated the effect of lipid location on body-composition estimation accuracy using electromagnetic scanning (EM-SCAN), a non-invasive [total body electrical conductivity (TOBEC)] method. Molds were constructed that simulated a 'general' small mammal, either 93% lean/7% lipid (control) or 82% lean/18% lipid (lipid-location groups). In the 18% lipid molds, we varied the location of the fat; simulating all the fat in the head, tail or midsection or simulating homogenous distribution. Comparisons were made between the EM-SCAN output of each lipid-location group, and multiple-regression techniques were performed to derive body-composition estimation equations for both lipid mass (M(L)) and fat-free mass (M(FF)). Device output varied significantly for all lipid-location groups even though all groups contained 18% body fat, showing a lipid-location effect on device output. Calibration equations derived for each lipid-location condition estimated both M(L) and M(FF) accurately, but an independent equation was required for each lipid-location condition. In situations where species significantly vary body fat content and location, for example during hibernation or reproductive periods, we suggest deriving a calibration equation that is more representative of the actual body composition to improve M(L) and M(FF) estimation accuracy using non-invasive EM-SCAN methods.

Adipose Tissue↗

PubMed2005

Physical exercise, body mass index, subcutaneous adiposity and body composition among Bengalee boys aged 10-17 years of Kolkata, India.

A comparative study of 215 sedentary (no regular physical exercise undertaken) and 313 physically active (regular physical exercise undertaken) Bengalee boys aged 10-17 years was undertaken to investigate the differences in overall adiposity (body mass index), subcutaneous adiposity (skinfolds) and body composition (percent body fat, fat mass and fat mass index). Both groups had a similar age. The results revealed that boys who did not undertake regular physical exercise (NPE) had a significantly greater mean body mass index (BMI) compared with those who undertook regular physical exercise (PE); p < 0.001. The means for all the skinfolds as well as percent body fat (PBF), fat mass (FM) and fat mass index (FMI) were significantly higher among the NPE group. The percentile distributions of all these variables and indices were consistently higher among the NPE group. The results of ANOVA of physical exercise (PE = yes, NPE = no) and PBF, FM and FMI, with age as covariate, revealed that PE had a significant negative effect on all these measures of body composition even after controlling for the impact of age. The means in each case were greater among the NPE group. In conclusion, this study provided evidence that Bengalee boys, who undertook regular physical exercise, had significantly less adiposity compared with those who did not undertake regular physical exercise.

Adolescent↗

PubMed2003

Body composition measured by dual-energy X-ray absorptiometry in patients who have undergone small-intestinal resection.

BACKGROUND: Patients who have undergone resection of the small intestine have lower body weight than do healthy persons. It remains unclear whether it is the body fat mass or the lean tissue mass that is reduced. OBJECTIVE: We compared body-composition values in patients who had undergone small-intestinal resection with reference values obtained in healthy volunteers, and we studied the relation between body-composition estimates and the net intestinal absorption of energy. DESIGN: In a cross-sectional study, we included 20 men and 24 women who had undergone small-intestinal resection and had malabsorption of energy > 2000 kJ/d. Diagnoses were Crohn disease (n = 37) and other conditions (n = 7). Body composition was estimated by dual-energy X-ray absorptiometry, and data were compared with those from a reference group of 173 healthy volunteers. Energy absorption was measured during 48-h balance studies by using bomb calorimetry, and individual values were expressed relative to the basal metabolic rate. RESULTS: Body weight and body mass index in patients were significantly (P < 0.05) lower than the reference values. Fat mass was 6.4 kg (30%) lower (95% CI: -8.8, -3.9 kg), but lean tissue mass was only slightly and insignificantly lower (1.5 kg, or 3.3%; 95% CI: -3.7, 0.60 kg). Weight, body mass index, and body-composition estimates by dual-energy X-ray absorptiometry did not correlate significantly with the net energy absorption relative to the basal metabolic rate, expressed as a percentage. CONCLUSIONS: Patients who had undergone small-intestinal resection had significantly lower body weights and body mass indexes than did healthy persons, and they had significant changes in body composition, mainly decreased body fat mass.

Absorptiometry, Photon↗

PubMed1985

Changes in body composition and physique of elite university-level female swimmers during a competitive season.

Changes in the body composition of a sample of elite university-level female swimmers were monitored at three points during a competitive season, October, December and March. Body composition was estimated via densitometry and a series of anthropometric dimensions was taken at each occasion. Body weight, absolute and relative fatness, all six skinfolds and the calf circumference decreased, while density and lean body mass increased significantly during the period of intensive training between October and December. Changes during the second half of the season were smaller. Weight and relative fatness increased, while body density and the triceps skinfold decreased significantly between December and March. Hence, the major changes in body composition associated with swim training occurred during the early part of the season when training was intense. Most of the changes were maintained during the second half of the season. Correlations between body composition at the start of training and changes after approximately 10 and 24 weeks were negative and generally significant. Changes in anthropometric somatotype estimates with swim training were minor and occurred primarily in the first and third components.

Adolescent↗

PubMed1996

Body composition in normal subjects: relation to lipid and glucose variables.

OBJECTIVE: To describe sex- and age-dependent values of total and regional body composition as determined by dual-energy X-ray absorptiometry (DXA) in normal subjects, and furthermore to relate body composition measurements to blood lipids, glucose and insulin concentrations. DESIGN: A cross-sectional study. SUBJECTS: 173 (84 male and 89 female) healthy subjects, BMI < 30 kg/m2. MEASUREMENTS: Body composition parameters including data on total bone mineral content (TBMC), total bone mineral density (TBMD), lean body soft tissue mass (LTM), total and regional fat mass (FM) were estimated in all subjects. In 87 of the subjects fasting blood glucose, S-insulin and lipid profile were measured. RESULTS: The study population was for each sex divided into five decades for which results on body composition and blood lipids are presented. Body weight increased 2 kg per age decade, representing a significant increase in both total FM and relative FM (FM%BW) with age, and in males a central accumulation of FM. LTM decreased significantly in males but not in females, whereas TBMC and TBMD remained constant in males, but decreased in females. A significant correlation between relative FM and S-cholesterol, S-triglyceride, and in males S-insulin was found. CONCLUSION: The present study gives coherent data on bone mineral content, lean body soft tissue mass total and regional fat mass for 173 healthy subjects with a BMI below 30 kg/m2. Total body fat mass increases, and lean mass decreases with age. In males a simultaneous central accumulation of fat mass is observed. The well-known relationship between central obesity and lipids is confirmed even in non-obese subjects.

Absorptiometry, Photon↗

PubMed2001

Body composition in women with sickle cell disease.

INTRODUCTION: Adults with sickle cell disease (SCD) have increased morbidity and low perceived health status, similar to patients with other chronic conditions. These patients may be sedentary due to exercise intolerance, physical incapacity due to sickle cell-related complications or medical conservatism. Obesity is an indicator of low health status and overall well-being in the general population, and we hypothesize that adults with SCD will have a high total body fat (%BF). The purpose of this study was to assess body composition in women with SCD using dual-energy X-ray absorptiometry (DXA). METHODS: Baseline medical examination, laboratory assessments, and seven-day activity recall to estimate energy expenditure (EE) were obtained for 22 women with SCD. BMI was calculated and whole body DXA was performed [fat mass (FM), fat-free soft tissue (FFST), and bone mineral content (BMC)]. Descriptive statistics were obtained and associations between body composition indices, total hemoglobin (Hb), treatment with hydroxyurea (HU), and EE were determined. RESULTS: Patient age was 30.5+/-9.3 years and total Hb was 8.85+/-1.92 g/dL (mean+/-SD). Mean body mass index (BMI) (22.6 kg/m2) was in the 'acceptable' range, while DXA measurement of mean % fat (32.6%) indicated obesity. Fat-free mass (FFM) was 40.0+/-5.62 and bone mineral density (BMD) was 1.13+/-0.14 g/cm2 (mean+/-SD). There were no correlations between body composition indices and total Hb, HU, or EE. CONCLUSIONS: This is the first report of high levels of adiposity, low FFM, and low BMD in normal weight women with SCD. The findings were not affected by total Hb, EE, HU. Further studies are needed to better define body composition, body composition determinants, and their impact on overall health status in adults with SCD.

Absorptiometry, Photon↗

PubMed2003

Changes in body composition during hormonal therapy for prostate cancer.

Androgens are important determinants of body composition in men. Androgen-deprivation therapy, the mainstay of treatment for advanced prostate cancer, increases fat mass and decreases lean body mass. These adverse changes in body composition may contribute to treatment-related fatigue, fracture risk, insulin resistance, and increased cardiovascular disease risk. Potential strategies to treat or prevent these adverse body composition changes include exercise training, alternative forms of hormonal therapy, and insulin-sensitizing agents.

Aged↗

PubMed2000

Infant feeding mode affects early growth and body composition.

BACKGROUND: Differences in the growth pattern of breastfed (BF) and formula-fed (FF) infants are well-recognized and have been attributed to differences in nutrient intake. However, the impact of qualitative and quantitative differences in nutrient intake on the body composition of BF and FF infants has been unclear. Furthermore, it is unknown whether putative differences in body composition persist beyond weaning. DESIGN: Prospective cohort study. METHODS: Repeated anthropometric and body composition measurements were performed on 40 BF and 36 FF infants at 0.5, 3, 6, 9, 12, 18, and 24 months of age. A multicomponent body composition model based on total body water by deuterium dilution, total body potassium by whole body counting, and bone mineral content by dual-energy x-ray absorptiometry was used to estimate fat-free mass (FFM) and fat mass (FM). Independent measurements of FFM and FM were made using total body electrical conductivity and dual-energy x-ray absorptiometry. By design, infants were either exclusively BF or FF from birth to 4 months of age; thereafter, the feeding mode was at the discretion of the parents. Infant food intake was measured at 3, 6, 12, and 24 months of age using 3-day weighed-intake records. Data were analyzed by repeated measures analysis of variance. RESULTS: Weight velocity was higher in FF than BF infants age 3 to 6 months, and higher in FF than BF girls 6 to 9 months of age. Adjusted for gender and baseline values, BF infants had lower total body water at 3 months, lower total body potassium at 3 to 24 months, and lower bone mineral content at 12 months. The multicomponent model indicated that FFM was lower in BF than FF infants at 3 months, and FM and %FM were higher in BF than FF infants at 3 and 6 months (boys only). Total body electric conductivity confirmed lower FFM in BF than FF infants at 3 months, as well as at 6 and 9 months; FM and %FM were higher in BF than FF at 3 and 6 months, and 9 months (boys only). Intakes of energy, protein, fat, and carbohydrate were lower in BF than FF infants at 3 and 6 months, and were positively correlated with weight gain and FFM gain, but not FM gain. No differences in nutrient intakes were observed at 12 or 24 months. CONCLUSION: Infant feeding mode is associated with differences in body composition in early infancy which do not persist into the second year of life.

Absorptiometry, Photon↗

PubMed2004

Body-composition differences between African American and white women: relation to resting energy requirements.

BACKGROUND: Body composition differs between African American (AA) and white women, and the resting metabolic rate (RMR) is likely to be lower in AA women than in white women. OBJECTIVE: We tested 2 hypotheses: that AA women have a greater proportion of low-metabolic-rate skeletal muscle (SM) and bone than do white women and that between-race musculoskeletal differences are a function of body weight. DESIGN: Hypothesis 1 was tested by comparing SM, bone, adipose tissue, and high-metabolic-rate residual mass across 22 pairs of matched AA and white women. Magnetic resonance imaging and dual-energy X-ray absorptiometry were used to partition weight into 4 components, and RMR was both calculated from tissue-organ mass and measured. Hypothesis 2 was evaluated by measuring SM, bone, fat, and residual mass in 521 AA and white women with the use of dual-energy X-ray absorptiometry alone. RESULTS: Hypothesis 1: AA women had greater SM ( +/- SD group difference: 1.52 +/- 2.48 kg; P < 0.01) and musculoskeletal mass (1.72 +/- 2.66 kg; P < 0.01) than did white women. RMR calculated from body composition and measured RMR did not differ; RMR estimated by both approaches tended to be lower (approximately 160 kJ/d) in AA women than in white women. Hypothesis 2: SM was significantly correlated with weight, height, age, and race x weight interaction; greater SM in the AA women was a function of body weight. CONCLUSIONS: Lower RMRs in AA women than in white women are related to corresponding differences in the proportions of heat-producing tissues and organs, and these race-related body-composition differences increase as a function of body weight.

Adipose Tissue↗

PubMed2005

A mathematical method to estimate body composition in tall individuals using DXA.

PURPOSE: The purpose of this investigation was to determine whether whole body composition could be estimated in tall individuals using summed measures from two partial DXA scans. METHODS: Using a pencil-beam DXA, a convenience sample of young individuals (N = 19) were scanned three times. Two partial scans of the upper and lower body were combined to predict bone area, bone mineral content (BMC), bone mineral density (BMD), fat mass (FM), fat-free soft tissue mass (FFST), and percent fat (%Fat), from a complete whole body scan. Two different methods, dividing the body at the hip (HIP) or at the top of the shoulders (NECK), were used to determine optimal method of summing. RESULTS: There were no significant differences in BMC, BMD, FM, FFST, and %Fat comparing the complete scan and summed scans regardless of summing method. There was excellent agreement between complete and summed values of BMC, BMD, FM, FFST, and %Fat values as indicated by regression analysis (r value range: 0.992-1.00) and nonsignificant intercepts. Bland-Altman plot analysis indicated that a small systemic bias occurred in estimates of FM and %Fat using the HIP method and FFST using the NECK method; however, all biases were negligible. CONCLUSIONS: The findings suggest that accurate estimates of whole body composition from a complete scan can be obtained by summing two partial scans. Although both summing methods provide good estimates of body composition, dividing the body at the neck provides more accurate estimates of bone and soft tissue composition than dividing the body at the hip.

Absorptiometry, Photon↗

PubMed2006

GFR estimation using cystatin C is not independent of body composition.

BACKGROUND: Cystatin C (CysC) is an endogenous marker of glomerular filtration rate (GFR) that is claimed to be unaffected by body composition. In this study, we tested this speculation. METHODS: In 77 patients with chronic kidney disease (mean age, 65.1 +/- 11.9 [SD] years; mean indexed GFR, 45.7 +/- 28.6 mL/min/1.73 m(2) [0.76 +/- 0.48 mL/s]), we evaluated kidney function (GFR) by means of inulin clearance. CysC level was determined by using a particle-enhanced turbidimetric immunoassay. Total lean (LM) and fat masses were measured by means of dual-energy x-ray absorptiometry. Multiple regression was used to analyze relationships between absolute GFR, LM, fat mass, demographic and anthropometric variables (age, sex, height, and weight), and CysC levels. Then prediction equations were built that included only CysC level or CysC level and LM. Their performance to predict absolute GFR was evaluated in a subset of patients with extreme body composition (LM or fat mass > +/-1 SD of the entire sample). RESULTS: Only absolute GFR and LM significantly explained variance in CysC levels, and an equation including LM explained more variance in absolute GFR than an equation including CysC level alone. Consequently, the equation including LM performed better than the equation with only CysC level, especially in patients with extreme body composition, showing reduced bias and improved limits of agreement and accuracy (71.4% versus 51.4% of patients' predicted GFR did not deviate by >30% of GFR). CONCLUSION: LM is a previously unrecognized, but important, factor affecting CysC level, and GFR estimation improves when including LM. CysC level is not independent of body composition, as previously assumed, and hence accounting for body composition improves CysC-based GFR estimation.

Aged↗

PubMed1993

Body composition during adolescence: methods, limitations and determinants.

To some extent body composition reflects nutritional status. It is also influenced by age, sex, race, physical activity and disease. The method used to measure body composition depends on the variable to be quantified. It may also depend on the practical conditions of the study. Detailed methods, such as densitometry, isotope dilution and electrical impedance give more accurate information, but they are commonly based on hypotheses established in adults. Anthropometric measurements can be used directly or as ratio or regression equations. At adolescence, the weight/height or body mass index (BMI) is preferred to weight for height as age is taken into account. In addition, the BMI pattern reflects real changes in body shape, and early in life it is an indicator of later development. In addition to measuring weight and height skinfold (SF) measurements should be carried out. The triceps SF is usually recommended and widely used as it is better than the subscapular SF to predict percent body fat. Trunk SFs, such as the subscapular, are better than extremity SF for their association with internal fat and their good correlations with risk factors and response to nutritional interventions. Chemical changes in the body are observed during growth. Chemical maturity does not occur until after puberty, but most changes occur early in life. Tracking is the maintenance of an individual in the same percentile range across age and varies according to the growth parameter and to the period of growth. Low tracking of fatness (up to the age of 8 years) corresponds to the period of rapid chemical changes. Low tracking of stature is observed at adolescence when height velocity is high. Nutrition affects fatness and stature, but the consequences of under- and over-nutrition differ between early childhood and adolescence. BMI curves show that most changes have their origin during the first years of life.

Adolescent↗

PubMed2004

Assessing body composition among 3- to 8-year-old children: anthropometry, BIA, and DXA.

OBJECTIVE: To examine the inter-relationships of body composition variables derived from simple anthropometry [BMI and skinfolds (SFs)], bioelectrical impedance analysis (BIA), and dual energy x-ray (DXA) in young children. RESEARCH METHODS AND PROCEDURES: Seventy-five children (41 girls, 34 boys) 3 to 8 years of age were assessed for body composition by the following methods: BMI, SF thickness, BIA, and DXA. DXA served as the criterion measure. Predicted percentage body fat (%BF), fat-free mass (FFM; kilograms), and fat mass (FM; kilograms) were derived from SF equations [Slaughter (SL)1 and SL2, Deurenberg (D) and Dezenberg] and BIA. Indices of truncal fatness were also determined from anthropometry. RESULTS: Repeated measures ANOVA showed significant differences among the methods for %BF, FFM, and FM. All methods, except the D equation (p = 0.08), significantly underestimated measured %BF (p < 0.05). In general, correlations between the BMI and estimated %BF were moderate (r = 0.61 to 0.75). Estimated %BF from the SL2 also showed a high correlation with DXA %BF (r = 0.82). In contrast, estimated %BF derived from SFs showed a low correlation with estimated %BF derived from BIA (r = 0.38); likewise, the correlation between DXA %BF and BIA %BF was low (r = 0.30). Correlations among indicators of truncal fatness ranged from 0.43 to 0.98. DISCUSSION: The results suggest that BIA has limited utility in estimating body composition, whereas BMI and SFs seem to be more useful in estimating body composition during the adiposity rebound. However, all methods significantly underestimated body fatness as determined by DXA, and, overall, the various methods and prediction equations are not interchangeable.

Absorptiometry, Photon↗

PubMed2006

Heritability and genetic correlation estimates for performance and carcass and body composition traits in a male broiler line.

The current research was conducted to estimate the heritability coefficients and the genetic correlations for performance and carcass and body composition traits in a single sire broiler line. The performance traits analyzed were BW at 38 d, ultrasound records of pectoral muscle depth, feed intake, feed conversion ratio, and BW at 42 d. The carcass traits analyzed were eviscerated BW, breast weight, and leg weight, and the body composition traits analyzed were abdominal fat content, heart weight, gizzard weight, liver weight, and intestine weight. The number of observations varied between 4,120 and 29,040 for each trait. The (co)variance components, heritability, and genetic correlation estimates were obtained by restricted maximum likelihood. The numerator relationship matrix had 42,912 animals. Based on the heritability estimates obtained, the analyzed traits seemed to be able to respond to selection, at variable intensities. The genetic correlation estimates between a great number of performance traits, as well as between a great number of carcass traits, were suggestive of a close genetic relationship between these traits. The genetic correlation estimates between body composition traits were variable. A large genetic association between a great number of performance and carcass traits seemed to exist. The genetic correlation estimates between performance and body composition traits were variable, and important associations between carcass and body composition traits did not seem to exist.

Abdominal Fat↗

PubMedDate not supplied

Menopausal changes in body composition and energy expenditure.

Adult American women as a group tend to gain weight with age, and many women report that their weight gain started around the time of their menopause. Moreover, as women age, there are changes in body composition that include losses in bone mineral and body cell mass, and increases in total body fat, visceral fat, and extracellular fluid. It appears as if these body composition changes begin or accelerate during the menopausal years. The importance of weight gain and changes in body composition are their associations with an increased risk of developing some malignancies, cardiovascular disease, osteoporosis, and several other clinical conditions. This overview describes selected studies of menopause and aging-associated weight gain, changes in body composition, and alterations of energy expenditure in women. Gaps in the present understanding of these changes are highlighted, and an emphasis is placed on new research methodologies for investigating body composition and energy expenditure in vivo. A concluding section of the report summarizes areas in need of future investigation.

Body Composition↗

PubMed1990

Body composition of adult cystic fibrosis patients and control subjects as determined by densitometry, bioelectrical impedance, total-body electrical conductivity, skinfold measurements, and deuterium oxide dilution.

This study contrasts body compositions (by six methods) of eight cystic fibrosis (CF) subjects with those of eight control subjects matched for age, height, and sex. CF subjects weighed 84% as much as control subjects. Densitometry and two bioelectrical impedance-analysis methods suggested that reduced CF weights were due to less lean tissue (10.7, 9.5, and 10.4 kg). Total-body electrical conductivity (TOBEC) and skinfold-thickness measurements indicated that CF subjects were leaner than control subjects and had less fat (5.4 and 3.6 kg) and less lean (5.2 and 7 kg) tissue. D2O dilution showed a pattern similar to TOBEC (8.3 kg less lean, 2.7 kg less fat tissue). Densitometry estimates of fat (mass and percent) were not correlated (r less than 0.74, p greater than 0.05) with any other method for CF subjects but were correlated with all other methods for control subjects. CF subjects contained less fat and lean tissue than did control subjects. Densitometry by underwater weighing is unsuitable for assessing body composition of CF patients.

Adipose Tissue↗