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Comparison of body fat estimates derived from underwater weight and total body water.

The purpose of this study was to compare the techniques of underwater weighing and analysis of total body water for estimating body fat with that derived from a 3-compartment model combining total body density and total body water. Body fat was estimated from: (1) body density using the Siri equation; (2) total body water assuming a hydration factor of 0.73 for fat free mass; and (3) the 3-compartment model combining body density and body water. The criterion method in this study was body fat mass determined from Siri's 3-compartment model. The subjects in this study included 10 obese men (41 +/- 10 years; 115.5 +/- 16.6 kg), 7 elderly men (68 +/- 6 years, 77.1 +/- 7.4 kg), and 18 young men (24 +/- 5 years; 71.0 +/- 9.2 kg). Body density was obtained by underwater weight with simultaneous determination of lung volume by helium dilution. Body water was obtained from zero-time extrapolation of isotope washout over 10-14 days following an oral dose of 2H2O and H2(18)O. Estimates of body fat derived from total body water were significantly higher than that derived from underwater weight in the elderly (1.4 +/- 1.5 kg; P < 0.05) and younger (3.0 +/- 2.8 kg; P < 0.001) men. In the obese subjects, there was no significant difference in body fat estimates between the two techniques (mean difference = 1.3 +/- 5.1 kg). The overestimation of body fat from total body water relative to underwater weight was negatively associated with body fat mass estimated from the 3-compartment model combining measurement of density and water (r = -0.35; P = 0.04). It is concluded that total body water overestimates body fat relative to underwater weight, and that this effect is more pronounced in leaner subjects.

Adipose Tissue↗

The relative body fat and anthropometric prediction of body density of South Australian females aged 17-35 years.

One hundred and thirty-five females were tested in order to: produce some normative percentage body fat (% BF) data on an Australian sample which represented a cross-section of physical activity patterns, cross-validate existing multiple regression equations which predict body density (BD) from anthropometric measurements, and if necessary develop population specific equations. Measurements were taken of 10 girths, 3 widths and 7 skinfolds. Body density was measured by underwater weighing with the residual volume (RV) being determined by helium dilution. The Siri equation was then used to convert BD to % BF. The % BF scores had an overall mean of 23.4 (range 10.8-49.2). The very active group (n = 45) had a significantly lower (p less than 0.05) relative body fat (X = 20.6% BF) than either the active (n = 45; 23.5% BF) or sedentary groups (n = 45; 26.2% BF). Previously published equations were found to have limited applicability to Australian subjects. A stepwise multiple regression was therefore used to develop the following equation (R = 0.893): BD(g X cm-3) = 1.16957-0.06447 (log10 sigma triceps, subscapular, supraspinale, front thigh, abdominal and calf skinfolds in mm)-0.00081 (gluteal girth in cm) + 0.0017 (forearm girth in cm) + 0.00606 (biepicondylar humerus breadth in cm). Only those predictors which resulted in a statistically significant increase in r (p less than or equal to 0.05) were included. The standard error of estimate of 0.00568 g X cm-3 was equivalent to 2.6% BF at the mean.

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Effects of dietary fat types on body fatness, leptin, and ARC leptin receptor, NPY, and AgRP mRNA expression.

Some, but not all, fats are obesogenic. The aim of the present studies was to investigate the effects of changing type and amount of dietary fats on energy balance, fat deposition, leptin, and leptin-related neural peptides: leptin receptor, neuropeptide Y (NPY), agouti-related peptide (AgRP), and proopiomelanocortin (POMC), in C57Bl/6J mice. One week of feeding with a highly saturated fat diet resulted in ~50 and 20% reduction in hypothalamic arcuate NPY and AgRP mRNA levels, respectively, compared with a low-fat or an n-3 or n-6 polyunsaturated high-fat (PUFA) diet without change in energy intake, fat mass, plasma leptin levels, and leptin receptor or POMC mRNA. Similar neuropeptide results were seen at 7 wk, but by then epididymal fat mass and plasma leptin levels were significantly elevated in the saturated fat group compared with low-fat controls. In contrast, fat and leptin levels were reduced in the n-3 PUFA group compared with all other groups. At 7 wk, changing the saturated fat group to n-3 PUFA for 4 wk completely reversed the hyperleptinemia and increased adiposity and neuropeptide changes induced by saturated fat. Changing to a low-fat diet was much less effective. In summary, a highly saturated fat diet induces obesity without hyperphagia. A regulatory reduction in NPY and AgRP mRNA levels is unable to effectively counteract this obesogenic drive. Equally high fat diets emphasizing PUFAs may even protect against obesity.

Adipose Tissue↗

Distribution of subcutaneous fat and equations for predicting percent body fat from skinfold measurements: a comparison between Chinese females from two age cohorts.

The need to apply different regression equations in predicting percent body fat was investigated with 40 Chinese females between 20-30 years and 40-50 years in Beijing in 1993-94. Skinfolds from 10 sites at subscapular, midaxillary, pectoral, abdominal, suprailiac, thigh, triceps, medial calf, suprapatellar, and forearm were measured with a Lange caliper. The criterion test was performed with hydrostatic weighing and the Siri equation was used to calculate percent body fat. It was found that there were significant differences in the distribution of subcutaneous fat between younger and older Chinese females, with the major differences in the abdominal and subscapular skinfolds. It also appeared that the 20-30 years cohort had a more evenly distributed subcutaneous fat that the 40-50 years cohort. A general prediction equation for percent body fat with skinfolds of the forearm, pectora, subscapular, and triceps was formulated with an R of 0.95 and SEE of 2.14. Separate equations were developed for the two age cohorts. These were found to be more accurate than the general equation. The present study indicated that subcutaneous fat distribution varied with age in the female and further study in this area would be needed to better understand the relationship between fat distribution patterns, metabolic risks, and cardiovascular disease.

Adipose Tissue↗

Estimation of the proportion of body fat in mice from the proportion of body water.

We compared the proportion of body fat in mice as measured by chemical analysis with that estimated from the proportion of body water. First, we measured the proportion of fat by chemical analysis in 78 mice that had a proportion of body fat in the range from approximately 5 to 20%. Then, we constructed a regression line that described the relationship between the proportion of body water and the proportion of body fat by using data from several other published studies in mice (% body fat = -1.20 x % body water + 88.07, r = 0.9597, sy.x = 2.75, p < 0.001). With this regression line, we estimated the proportion of body fat from the proportion of body water that was measured by drying the carcasses at 60 degrees C for 3 days. Body fat data obtained from this regression line were similar to those obtained by chemical analysis. Thus, these results suggest that reliable values for the proportion of body fat can be derived from the proportion of body water and this method provides a tool to rapidly measure the proportion of body fat in mice.

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Heterogeneity of juvenile hormone binding compounds in fat bodies of a cockroach.

Fat bodies of adult vitellogenic or non-vitellogenic females and those of adult males contain 2 populations of saturable JH binding compounds. The respective Kd vales are 2-5 x 10(-9) M and 1-4 x 10(-8) M. Fat bodies of penultimate nymphs, hemolymph of any animal, and midgut epithelia contain one saturable JH binder with a Kd of 1-5 x 10(-8) M. Unlabeled JH I and III, as well as the JH analog ZR-515 compete effectively for the binding sites in these tissues. The 2 classes of hormone binders were separated by DEAE ion-exchange column chromatography. The very high affinity molecules of the adult fat bodies are presumably the specific JH receptors which may function in translocation of the hormone to the nucleus. The compound with relatively lower hormone affinity may be the JH hemolymph carrier which is also produced by the fat bodies and then exported.

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Near-infrared interactance (NIR): a new non-invasive technique to estimate subcutaneous body fat in newborns.

Body fat (BF) is rarely determined routinely in infants due to the lack of a simple measuring device. A portable NIR instrument, successfully applied in adults, takes 5 seconds for a measurement and involves no skin manipulation. We designed this study 1) to compare BF estimates by NIR to skinfold thickness (ST) and 2) to assess the relationship of NIR and ST values with standard measures reflecting BF, such as Weight/Length Ratio, Body Mass Index and Ponderal Index. We studied BF in 40 healthy term infants within 12 hours of birth by NIR and ST at 3 standard sites: triceps (TRI), subscapular (SUB) and abdominal (ABD). RESULTS. Significant correlations were found between NIR and ST (R=0.70, 0.58 and 0.64 for SUB, TRI and ABD, respectively); between the sums of the 3 measurements (R= 0.69), and between birthweight and ST (R=0.57) or NIR (0.51), and between Weight/Length Ratio and ST (R=0.55) or NIR (R=0.51). We conclude that NIR measurements correlate well with skinfold measurements and NIR can be measured faster than skinfolds (5 vs 60 seconds). We speculate that NIR could be cost-effective for routine clinical measure of body fat and growth in infants.

Humans↗

Comparison of fat-free mass and body fat in Swiss and American adults.

OBJECTIVE: No current studies have compared North American with European body composition parameters, i.e., fat-free mass (FFM), body fat (BF), and percentage of BF (%BF) in large populations. This study compared FFM, BF, and %BF values derived from two bioelectrical impedance analysis (BIA) equations (Geneva and National Health and Nutrition Examination Survey [NHANES]) in Swiss subjects and compared FFM, BF, and %BF values of white Swiss with those of white North American adults with the same BIA equations. METHODS: Healthy adults (3714 men and 3199 women), ages 20 to 79 y, in Switzerland were measured by single-frequency BIA and compared with means and standard deviations for body mass index and body composition parameters obtained from the NHANES III study (United States; n = 2538 men, 2862 women). FFM was calculated with the Geneva and NHANES equations. RESULTS: Mean FFMGENEVA values did not differ from FFMNHANES values in men but was significantly lower (-1.5 kg) in women. FFM and BF values in American men, who weighed 4.2 to 12.0 kg more than the Swiss men, were significantly higher (+2.1 to +6.0 kg and +1.5 to +6.4 kg, respectively) than those in the Swiss men. FFM and BF values in American women, who weighed 2.3 to 12.1 kg more than the Swiss women, were significantly higher (+1.3 to +2.1 kg and +4.8 to +11.8 kg, respectively, except FFM in subjects ages 20 to 29 y and BF in those ages 70 to 79 y) than FFMGENEVA values in Swiss women. FFM in American women was significantly lower (+1.3 and +1.9 kg) and non-significantly higher than FFMNHANES in Swiss women. CONCLUSION: NHANES and Geneva BIA equations estimate body composition equally well in men, but further research is necessary to determine the discrepancies in FFM between BIA equations in women. The greater weight of the American subjects yielded higher values for FFM, BF, and %BF in American than in Swiss men and women.

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An evaluation of a bioelectrical impedance analyser for the estimation of body fat content.

Measurement of body composition is an important part of any assessment of health or fitness. Hydrostatic weighing is generally accepted as the most reliable method for the measurement of body fat content, but is inconvenient. Electrical impedance analysers have recently been proposed as an alternative to the measurement of skinfold thickness. Both these latter methods are convenient, but give values based on estimates obtained from population studies. This study compared values of body fat content obtained by hydrostatic weighing, skinfold thickness measurement and electrical impedance on 50 (28 women, 22 men) healthy volunteers. Mean(s.e.m.) values obtained by the three methods were: hydrostatic weighing, 20.5(1.2)%; skinfold thickness, 21.8(1.0)%; impedance, 20.8(0.9)%. The results indicate that the correlation between the skinfold method and hydrostatic weighing (0.931) is somewhat higher than that between the impedance method and hydrostatic weighing (0.830). This is, perhaps, not surprising given the fact that the impedance method is based on an estimate of total body water which is then used to calculate body fat content. The skinfold method gives an estimate of body density, and the assumptions involved in the conversion from body density to body fat content are the same for both methods.

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Skinfold thickness measurements are better predictors of body fat percentage than body mass index in male Spanish children and adolescents.

OBJECTIVE: To develop equations, from some simple anthropometric measurements, for the prediction of body density from underwater weighing in male spanish children and adolescents. SUBJECTS: One hundred and seventy-five males, aged 7.0-16.9 y, participated in this study, they were recruited from primary and secondary schools. MEASUREMENTS: Body weight and height and skinfold thicknesses by anthropometry, body density by underwater weighing. RESULTS: Correlations between body density and body mass index (BMI) were high until 14.0-16.9y. Correlations between body density and log sigma 4 skinfolds were higher than those with BMI at all ages. Log sigma 4 skinfolds explained between 61% (14.0-16.9 y) and 68% (11.0-13.9 y) of the body density variance. Regression equations for body density from BMI and triceps skinfold thickness explained between 51% (14.0-16.9y) and 68% (7.0-10.9 y) of the body density variance. CONCLUSIONS: The best estimators of body density in the children and adolescents studied were log sigma 4 skinfolds and a combination of BMI and triceps skinfold.

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Obesity, body fat distribution and body build: their relation to blood pressure and prevalence of hypertension.

OBJECTIVE: To determine the relation of skeletal body build and obesity to blood pressure and the prevalence of hypertension. DESIGN: Cross-sectional data obtained from the baseline recruitment of the EPIC-Potsdam Study, which is part of the European Prospective Investigation into Cancer and Nutrition (EPIC). SUBJECTS: A total of 10,303 subjects (4387 men, aged 40-65 y and 5916 women, aged 35-65 y) were recruited between January 1995 and July 1996. MEASUREMENTS: Anthropometric measures included body mass index (BMI), waist-hip ratio (WHR) and metrik index (MIX) as a measure of body build that is derived from the relation of chest depth and breadth to body height. Systolic and diastolic blood pressure was obtained using automatic oscillometric devices. Hypertension was defined as blood pressure > or = 160/95 mmHg or current use of antihypertensive medication. Information on lifestyle factors were obtained by personal interview. STATISTICAL ANALYSIS: Logistic regression was used to define the association of categories of BMI, WHR, and MIX and the prevalence of hypertension. Odds ratios (ORs) of being hypertensive were estimated comparing the highest to the lowest quintile, adjusting for age, smoking status, alcohol intake level, educational attainment, physical activity categories, and each of the anthropometric variables. RESULTS: The simultaneously adjusted OR of being hypertensive, comparing the highest vs the lowest category, was for BMI 2.3 (95% confidence interval (CI) = 1.6-3.2) in men and 1.8 (95% CI = 1.4-2.5) in women, for WHR 1.8 (95% CI = 1.4-2.4) in men and 1.5 (95% CI = 1.2-2.0) in women, and for MIX (largest chest size vs lowest chest size relative to body height) 2.0 (95% CI = 1.4-2.8) in men and 2.2 (95% CI = 1.6-3.1) in women. CONCLUSION: In addition to measures of overall obesity (BMI) as well as central obesity (WHR), skeletal body build (MIX) was independently associated with the prevalence of hypertension. The biological mechanism relating MIX to hypertension, however, is still unclear and needs further exploration.

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