BODY COMPOSITION STUDIES ON THE SUCKLING PIG: I. MOISTURE, CHEMICAL FAT, TOTAL PROTEIN, AND TOTAL ASH IN RELATION TO AGE AND BODY WEIGHT

1965 ◽  
Vol 45 (1) ◽  
pp. 8-13 ◽  
Author(s):  
A. J. Wood ◽  
T. D. D. Groves
Keyword(s):  
Body Composition ◽  
Body Weight ◽  
Relative Rate ◽  
Marked Change ◽  
The Body ◽  
Body Protein ◽  
Absolute Growth ◽  
Body Compartments ◽  
Total Body ◽  
Age Range

The body composition of 37 piglets from four litters has been determined over the age range from birth to 65 days. Regression lines relating total body water to total body protein and to total body ash have been computed. The data suggest that a marked change in the relative rate of accretion of the major body compartments occurs at an age of approximately 18 days corresponding to a body weight of 5 to 6 kg. This change appears to be associated with a slowing of the absolute growth rate at this time, which presumably arises because the sow can no longer provide for the total requirements of her litter.

scholarly journals Prediction of the <i>in vivo</i> Body Composition of Pigs Based on Cross- Sectional Region Analysis of Dual Energy X-Ray Absorptiometry (DXA) Scans

2002 ◽  
Vol 45 (6) ◽  
pp. 535-545
Author(s):  
A. D. Mitchell ◽  
A. Scholz ◽  
V. Pursel
Keyword(s):  
Body Composition ◽  
Chemical Analysis ◽  
Body Fat ◽  
The Body ◽  
Cross Sectional ◽  
Body Protein ◽  
Total Body Fat ◽  
Total Body ◽  
Dxa Scans

Abstract. The purpose of this study was to evaluate the use of a cross-sectional scan as an alternative to the total body DXA scan for predicting the body composition of pigs in vivo. A total of 212 pigs (56 to 138 kg live body weight) were scanned by DXA. The DXA scans were analyzed for percentage fat and lean in the total body and in 14 cross-sections (57.6 mm wide): 5 in the front leg/thoracic region, 4 in the abdominal region, and 5 in the back leg region. Regression analysis was used to compare total body and cross-sectional DXA results and chemical analysis of total body fat, protein and water. The relation (R2) between the percentage fat in individual slices and the percentage of total body fat measured by DXA ranged from 0.78 to 0.97 and by chemical analysis from 0.71 to 0.85, respectively. The relation between the percentage of lean in the individual slices and chemical analysis for percentage of total body protein and water ranged from 0.48 to 0.60 and 0.56 to 0.76, respectively. These results indicate that total body composition of the pig can be predicted (accurately) by performing a time-saving single-pass cross-sectional scan.

scholarly journals Correlation Between Body Composition Analysis and Biochemical Nutritional Markers in Maintenance Hemodialysis Patients with Chronic Liver Disease

2020 ◽  
Vol 71 (11) ◽  
pp. 94-100
Author(s):  
Luciana Carmen Nitoi ◽  
Valeriu Ardeleanu ◽  
Anca Pantea Stoian ◽  
Lavinia Alexandra Moroianu
Keyword(s):  
Body Composition ◽  
Liver Disease ◽  
Nutritional Status ◽  
Chronic Liver Disease ◽  
The Body ◽  
Chronic Liver ◽  
Composition Analysis ◽  
Arterial Line ◽  
Body Protein ◽  
Total Body

Several approaches have been used to assess protein-energy wasting syndrome, such as clinical evaluation, biochemical nutritional markers, anthropometric measurements, but Bioelectrical Impedance Analysis (BIA) techniques hold a central place in clinical settings. The aim of this study is to report our clinical experience with BIA and the correlations between biochemical nutritional markers and BIA nutritional parameters in hemodialysis (HD) patients associating or free of chronic liver disease. This cross-sectional observational study included 69 HD patients divided into two groups: 33 with chronic liver disease (CLD+) versus 36 chronic liver disease-free (CLD-) from one HD unit in Romania. Serum albumin (SA), serum creatinine (SCr) and C-reactive protein (CRP) were obtained from the HD arterial line immediately before the HD session and by BIA the body composition including total body water (TBW), total body fat (TBF), lean fat free mass(LFFM), body muscular mass (BMM), malnutrition index and body protein reserve (PR) were assessed. No significant differences between groups were found in BCM, BMM, PR and TBF (p = 0.92, p = 0.60, p = 0.907, and p = 0.634, respectively). Malnutrition index had a significantly higher mean value in HD-CLD(+) patients (p = 0.00). HD-CLD(-) group showed a strong correlation between SA and SCr and BCM, BMM (kg), LFFM (kg) and body PR (kg) (r=.48, r=.50, r=.44, r=.50; resp. r=.42, r=.40, r=.36, r=.42). In HD-CLD(+) patients, a significant positive correlation was found between SA and SCr and LFFM and body PR (r=.37, r=.35; resp. r=.44, r=.35). Discussion: BIA is one of the most accurate techniques for assessing nutritional status and should be regularly used in clinical practice along with biochemical nutritional markers in HD patients. Although the protein metabolism depends to a large extent on liver function, CLD cannot be considered as having a significant impact on nutritional status in HD patients.

scholarly journals 349 Empty body composition and retained energy of Jersey steers using an aggressive implant strategy

2019 ◽  
Vol 97 (Supplement_3) ◽  
pp. 95-95
Author(s):  
Tylo J Kirkpatrick ◽  
Kaitlyn Wesley ◽  
Sierra L Pillmore ◽  
Kimberly Cooper ◽  
Travis Tennant ◽  
...  
Keyword(s):  
Body Composition ◽  
Body Weight ◽  
Body Fat ◽  
Crude Protein ◽  
Proximate Analysis ◽  
Negative Control ◽  
Feeding Period ◽  
Initial Body Weight ◽  
Body Protein ◽  
Total Body

Abstract This experiment was designed to quantify the empty body composition of Jersey steers administered an aggressive implant strategy. Jersey steers {n = 30; initial body weight (BW) 183 ± 43 kg} were randomly assigned to one of two implant strategies: negative control (CON), or implanted with Revalor 200 (200 mg trenbalone acetate / 20 mg estradiol 17-β; (REV) every 70 d (d 0, d 70, d 140, d 210, d 280, d 350) during a 420 d feeding period. Steers were harvested on d 421; 6 CON and 6 REV steers were randomly selected for collection of blood, hide, ground viscera, bone, and ground lean and fat to determine empty body composition. Proximate analysis was completed for each sample to determine total body percentages of moisture, crude protein, fat, and ash. Data were analyzed via independent t-test. Percentage empty body moisture (46.48% CON vs 49.69% REV) and empty body protein (15.32% CON vs 17.58% REV) were greater (P &lt; 0.01) in REV cattle. In contrast empty body fat (33.51% CON vs 26.93% REV) was greater (P &lt; 0.01) for CON cattle. Empty body ash did not differ (P &gt; 0.10; 4.69% CON vs 5.80% REV) between treatments. Negative control steers contained a total empty body protein to total empty body fat ratio of 0.44:1 compared to 0.62:1 for REV steers. These data suggest that an aggressive implant strategy alters composition of gain during the finishing of Jersey steers toward increased protein and decreased fat.

THE GROSS BODY COMPOSITION OF SIX GEOGRAPHIC RACES OF PEROMYSCUS

1965 ◽  
Vol 43 (2) ◽  
pp. 297-308 ◽  
Author(s):  
J. S. Hayward
Keyword(s):  
Body Composition ◽  
Body Weight ◽  
Body Fat ◽  
Comparative Studies ◽  
The Body ◽  
Deer Mice ◽  
Body Protein ◽  
Free Body ◽  
Laboratory Acclimation ◽  
Seasonal Extremes

The body composition in terms of fat, water, and protein has been determined for 115 deer mice (genus Peromyscus) of six racial stocks. The changes in composition that are characteristic of seasonal extremes and that accompany laboratory acclimation are presented. The composition of the fat-free body exhibits the constancy which has been found in other mammals. Body protein averaged 22.97% and body water 69.71% of the fat-free body weight. Body fat levels are shown to vary considerably among individuals and races. The highest fat levels occurred in the desert-adapted race (P. m. sonoriensis). The importance of considering body composition in comparative studies of metabolic rate is discussed.

Compensatory growth in immature sheep: I. The effects of weight loss and realimentation on the whole body composition

1975 ◽  
Vol 85 (2) ◽  
pp. 193-204 ◽  
Author(s):  
K. R. Drew ◽  
J. T. Reid
Keyword(s):  
Body Composition ◽  
Body Weight ◽  
Body Fat ◽  
Good Predictor ◽  
Dry Matter ◽  
Body Water ◽  
The Body ◽  
Whole Body ◽  
Body Protein ◽  
Ad Libitum

SUMMARYForty-eight cross-bred wether lambs were used to measure the effects of severe feed restriction and realimentation on the body and carcass composition of immature sheep. Ten of the total number of sheep were used as an initial slaughter group, 12 were continuously fed (six at the ad libitum level of intake and six at 70% ad libitum), 26 were progressively underfed and 18 of them were realimented after a mean loss of about 25% empty body weight (EBW).Shrunk body weight (SBW = weight after an 18-h fast with access to water) was a good predictor of empty body weight (EBW = SBW minus gastro-intestinal contents) and the EBW of continuously growing sheep was a good predictor of body water, protein, fat, energy and ash, but it was not precise after realimentation, particularly in the early stages of refeeding. Restricted continuous supermaintenance feeding did not alter the body composition of the sheep from that of the sheep on the ad libitum intake at any given EBW except slightly to increase the carcass protein content.Although underfeeding to produce an EBW loss of 25% generally produced changes in the chemical body components which were similar to a reversal of normal growth, body fat did not decrease during the first half of the submaintenance feeding and did not increase during the first 2 weeks of realimentation. Under all circumstances percentage body fat was very closely related to percentage body water.Sheep realimented at 26 kg (after losing 25% EBW) contained, at 45 kg EBW, more bodywater and protein and less fat and energy than continuously-fed animals of the same EBW. The treatment effects were greater in the carcass and had little effect on the non-carcass EBW, with th e result that the refed sheep had 1800 g more water × protein in a carcass that weighed 700 g more than one from a normally grown sheep of the same EBW. The regression of calorific value of th e ash-free dry matter on body fat as a percentage of ash-free dry matter gave calorific values of body protein and fat as 5·652 and 9·342 kcal/g of ash-free dry matter, respectively.

scholarly journals Body composition of piglets exhibiting different growth rates

2012 ◽  
Vol 55 (4) ◽  
pp. 356-363 ◽  
Author(s):  
A. D. Mitchell ◽  
T. G. Ramsay ◽  
T. J. Caperna ◽  
A. M. Scholz
Keyword(s):  
Body Composition ◽  
Body Weight ◽  
Bone Mineral Content ◽  
Bone Mineral ◽  
Mineral Content ◽  
Growing Pigs ◽  
The Body ◽  
Body Composition Measurement ◽  
Total Body ◽  
Highly Correlated

Abstract. The growth and composition of the neonatal pig is of interest because of potential impact on subsequent growth and finally, composition at market weight. The purpose of this study was to compare at weaning the growth and body composition of the largest and smallest pigs from each of 38 litters. At weaning (27±1.7 d) the largest (9.3±1.1 kg) and smallest (6.2±1.5 kg) pigs were selected for body composition measurement by dual energy X-ray absorptiometry (DXA). The body composition of the largest pigs consisted of 38 % more fat, 32 % more lean, and 29 % more bone mineral content (P<0.001). However, when expressed as a percentage of body weight, there was no difference in the fat, lean or bone mineral content content of the two groups of pigs (P>0.05). A second study consisted of 12 pairs of pigs from 8 litters that were selected on the basis of having the same birth weight, but one pig out gaining the other by at least 50 g/day. At 21 days of age the selected pigs were scanned by DXA. For both groups combined, the correlation (r) between body weight and lean mass was 0.99, between body weight and fat mass it was 0.87, and between body weight at birth and body weight at weaning it was 0.56. The results of these studies revealed that, at weaning, the fastest and slowest growing pigs had similar proportions of fat, lean and bone mineral and, consistent with previous results, the rates of both fat and lean deposition were highly correlated (P<0.001) with total body growth rate.

scholarly journals Stav antropometrických parametrov a telesného zloženia u detí mladšieho školského veku

2017 ◽  
Vol 11 (2) ◽  
pp. 15-27
Author(s):  
Tomáš Hadžega ◽  
Václav Bunc
Keyword(s):  
Body Composition ◽  
Body Weight ◽  
Body Fat ◽  
Body Height ◽  
The Body ◽  
Fat Free Mass ◽  
Whole Body ◽  
School Age ◽  
Total Body ◽  
Frequency Apparatus

The aim of our observation was to measure selected anthropometric characteristics and to analyze actual body composition in children of younger school age from elementary schools in Prague. The group consisted of a total of 222 probands, boys (n-117) and girls (n-105) aged 8–11 years (average boys age = 9.0 ± 1.0 years, body height = 139.9 ± 8.6 cm, body weight = 32 ± 7.5 kg, BMI = 16.3 ± 2.4 kg.m–2). Average age girls = 8.9 ± 0.9 years, body height = 137.3 ± 8.8 cm, body weight = 30.5 ± 7.3 kg, BMI = 15.9 ± 2.4 kg.m–2). The BIA 2000 M multi-frequency apparatus (whole-body bioimpedance analysis) was used to analyze the body composition. Children of younger school age showed higher TBW values – total body water (boys 65.5 ± 6.0%, girls 66.6 ± 6.5%), low body fat (boys 16.1 ± 2.4%, girls 16.5 ± 2.9%) and higher ECM/BCM coefficients (boys 1.0 ± 0.13, girls 1.02 ± 0.11). The authors draws, attention to the importance of monitoring other body composition parameters. The percentage of fat-free mass (FFM) and the share of segmental distribution of body fat and muscle mass on individual parts of the human body.

Body composition in vivo. VI. The composition of ewes during prolonged undernutrition

1964 ◽  
Vol 15 (5) ◽  
pp. 771 ◽  
Author(s):  
BA Panaretto
Keyword(s):  
Body Composition ◽  
Body Weight ◽  
Fat Content ◽  
The Body ◽  
Red Cell ◽  
Fat Reserves ◽  
Group 2 ◽  
Total Body ◽  
Group 1

Ten Border Leicester x Merino ewes were divided into two groups on the basis of a initial calculation of their body composition. Group 1 comprised a group of six moderately fat ewes (fat content < 25% body weight), and group 2 four very fat ewes (fat content >40% body weight). The ewes were undernourished by feeding progressively diminishing quantities of a mixture of lucerne chaff and oats (1:1) until group 1 had lost 38.7 and group 2 33.7% of their initial weight in 150–200 days. Feed intakes and wool growth of the sheep were recorded and calculations were made of the body composition in terms of total body water, fat, protein, and ash as undernutrition progressed. Thiocyanate spaces, haematocrit values, and plasma, blood, and red cell volumes were also measured. Generally the ewes in group 1 exhibited a starvation syndrome which was characterized by the gradual depletion of the fat and protein reserves of the body until fat reserves had been almost completely used. Thiocyanate spaces in these ewes expanded relative to body weight, and the circulatory parameters showed a progressive shrinkage of the red cell volume while plasma volume was maintained. The ewes in group 2 differed markedly in their reaction to undernutrition in that three out of the four passed, after a time, into a phase of inappetence and died while still in a very fat condition.

THE EVALUATION OF BLOOD VOLUME AND TOTAL RED CELL MASS AS PREDICTORS OF GROSS BODY COMPOSITION IN THE PIG

1965 ◽  
Vol 45 (3) ◽  
pp. 203-210 ◽  
Author(s):  
H. Doornenbal ◽  
A. H. Martin
Keyword(s):  
Body Composition ◽  
Body Weight ◽  
Blood Volume ◽  
Total Protein ◽  
Cell Mass ◽  
Red Cell ◽  
Body Protein ◽  
Weight Range ◽  
Red Cell Mass ◽  
Total Body

In a study of growth and development patterns in the pig, data were obtained on body weight, total body protein, blood volume, and red cell mass for a total of 88 pigs, ranging in live weight from 9 to 103 kg. The relationships of total body protein to the other variables were analyzed by multiple regression techniques on both an overall and stratified basis. Over the entire weight range, body weight itself explained 98% of the variability in total protein. When the analysis was restricted to pigs in the weight range of 81–103 kg the contribution of body weight in predicting total protein decreased considerably (50%), with concomitant increase in predictive value of blood volume (8%). It was concluded that blood volume and similar physiological measurements could be of major importance in predicting body composition in market weight pigs.

Assessing total body protein, mineral, and bone mineral content from total body water and body density

1995 ◽  
Vol 79 (5) ◽  
pp. 1837-1843 ◽  
Author(s):  
S. F. Siconolfi ◽  
R. J. Gretebeck ◽  
W. W. Wong
Keyword(s):  
Body Composition ◽  
Bone Mineral Content ◽  
Bone Mineral ◽  
Mineral Content ◽  
Body Water ◽  
The Body ◽  
Composition Analysis ◽  
Body Protein ◽  
Total Body ◽  
3C Model

We hypothesized that investigators could assess bone mineral content (BMC), total body mineral (M), and protein (P) from body water (W) and density (DB) based on the theory of W. E. Siri (Advances in Biological and Medical Physics, 1956, p. 239–280 and Techniques for Measuring Body Composition, 1961, p. 223–224) for body composition analysis. Siri used one or more of the body components and the densities of the body, fat (F), W, M, and P to estimate one of the remaining fractional masses. We compared M, BMC, P. F, and fat-free mass (FFM) in 31 subjects (15 women and 16 men) computed from measurements of W and DB with [4-compartment (4C) model] and without [3-compartment (3C) model] BMC (from dual X-ray absorptiometry). 4C model P was calculated by difference (P = FFM - W - M). Mean difference (P > 0.05) ranged from 0.1 to 0.8%. Correlations [+/- standard error of estimate (%)] between 4C and 3C model values were significant (r = 0.907 +/- 8.8, 0.907 +/- 8.7, 0.969 +/- 6.6, 0.998 +/- 2.0, and 0.999 +/- 0.7% for M, BMC, P, F, and FFM, respectively). We concluded that investigators can assess M, BMC, and P from W and DB.

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