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.

Total Body Potassium and Body Fat Estimation in Relationship to Height, Sex, Age, Malnutrition and Obesity

1975 ◽  
Vol 48 (5) ◽  
pp. 431-440 ◽  
Author(s):  
C. J. Edmonds ◽  
B. M. Jasani ◽  
T. Smith
Keyword(s):  
Body Weight ◽  
Food Intake ◽  
Body Fat ◽  
Fat Free Mass ◽  
Whole Body ◽  
Regression Equations ◽  
Total Body Potassium ◽  
Normal Individuals ◽  
Males And Females ◽  
Total Body

1. Total body potassium was estimated by 40K measurement with a high-sensitivity whole-body counter in normal individuals over a wide age range and in patients who were obese or were grossly wasted as a result of various conditions which restricted food intake. 2. Potassium concentration (mmol/kg body weight) fell with increasing age over 30 years in both normal males and females, but when individuals of different age groups were matched for height, a significant fall in total body potassium with increasing age was observed only in males. Total body potassium of females was about 75% that of males of similar height when young, the sex difference decreasing with ageing. In the normal population, total body potassium was significantly correlated with height and with weight; regression equations for various relationships are given. 3. Fat-free mass was estimated from total body potassium, values of 65 and 56 mmol of potassium/kg fat-free mass being used for males and females respectively. Body fat estimated by this method correlated well with skinfold measurements over a wide range of body weight but in malnourished individuals having inadequate food intake there was considerable discrepancy and present formulae for estimating fat-free mass from total body potassium appear unsatisfactory in malnutrition. Considerable differences between expected and observed values of total body potassium were found in muscular individuals and in normal individuals who were thin but whose body weight was relatively constant. 4. The patients with malnutrition were low both in body fat as estimated by skinfold thickness and in total body potassium estimated on the basis of height. Plasma potassium was, however, normal and potassium supplements did not increase the total body potassium. 5. Total body potassium of obese individuals was not significantly different from that of normal weight individuals on the basis of height. Total body potassium fell on weight reduction with a very low energy diet of 1260 kJ (300 kcal.) daily but changed little with a 3300 kJ (800 kcal.) diet over several months' observation. 6. For overweight, obese individuals, total body potassium was best predicted from the individual's height. For those whose body weight was less than expected, the use of weight gave the best prediction but the error was considerable when the weight deviation was large.

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.

Influence of muscular development, obesity, and age on the fat-free mass of adults

1976 ◽  
Vol 41 (2) ◽  
pp. 223-229 ◽  
Author(s):  
J. Womersley ◽  
J. V. Durnin ◽  
K. Boddy ◽  
M. Mahaffy
Keyword(s):  
Body Fat ◽  
The Body ◽  
Fat Free Mass ◽  
Potassium Content ◽  
Whole Body ◽  
Obese Women ◽  
Men And Women ◽  
Muscular Development ◽  
Total Body ◽  
Water Measurement

Body fat and the fat-free mass (FFM) were estimated in 36 men and 43 women deliberately chosen to represent a variety of physical types; these were 1) young sedentary, 2) “muscular,” 3) younger obese, 4) older obese, and 5) older nonobese individuals of both sexes. The body fat and the FFM were estimated from measurements of body density (by total immersion in water, measurement being made of the residual volume of air present in the lungs at immersion) and from measurements of total body potassium (using a whole-body monitor to assess the natural 40K isotope present in the body). The muscular men and women and the younger obese men and women had a considerably greater FFM and thus had greater quantities of potassium than the corresponding sedentary groups. There were significantly different estimates of the FFM calculated from density and from total body K in three groups, the sedentary young men, the muscular, and the younger obese women. The density and the potassium content of the FFM appear to decline with obesity and aging. Muscular development is associated with a decrease in the density but an increase in the potassium content of the FFM.

scholarly journals Stav antropometrických parametrů a tělesného složení u studentů Vojenského oboru UK FTVS v Praze

2015 ◽  
Vol 9 (2) ◽  
pp. 57-67 ◽  
Author(s):  
Ivana Kinkorová ◽  
Matěj Vrba
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
The Body ◽  
Whole Body ◽  
Composition Analysis ◽  
Extracellular Water ◽  
Body Composition Analysis ◽  
Segmental Analysis ◽  
Total Body ◽  
General Physical

The aim of our study was the measurement of selected anthropometric variables, respectively determining somatotype, body composition analysis of students Military Department (MD) at UK FTVS in Prague and compared to similar studies. The group consisted of 22 probands, men ranging in age from 19–27 years (mean age = 22,9 ± 2,6 years, height = 179,9 ± 6,0 cm, weight = 76,8 ± 7,0 kg, BMI = 23,8 ± 1,5 kg.m–2). In terms of measured average somatotype (1,7 – 7,3 – 2,5), the students MD have very good preconditions for general physical fitness. We used BIA-Tanita MC 980 for the body composition analysis (whole body and segmental analysis). The students MD showed a high proportion of lean body mass (70,5 ± 6,1 kg) and low proportion of fat mass (8,3 ± 3,0 %). The authors emphasize the importance of monitoring and other parameters of body composition, e.g. total body water (TBW), extracellular water (ECW), intracellular water (ICW), segmental analysis of muscle mass and body fat.

scholarly journals Anthropometric prediction of DXA-measured body composition in female team handball players

PeerJ ◽  
2018 ◽  
Vol 6 ◽  
pp. e5913 ◽  
Author(s):  
Valentina Cavedon ◽  
Carlo Zancanaro ◽  
Chiara Milanese
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
Female Athletes ◽  
Linear Regression Analysis ◽  
Fat Free Mass ◽  
Whole Body ◽  
Tissue Mass ◽  
Predictive Equations ◽  
Team Handball ◽  
Total Body

Background The relevance of body composition (BC) to performance in sport has long been appreciated with special concern on the total and regional proportion of fat and muscle. Dual-energy X-ray absorptiometry (DXA) is able to accurately measure BC, but it may not be easily available in practice; anthropometry has long been used as a simple and inexpensive field method to objectively assess BC. The aim of this study was twofold: first, to develop and validate a sport-specific anthropometric predictive equation for total body fat mass (FM) and lean mass components in female handball players to be used in the sport setting; second, to cross-validate in female team handball players several independently developed, predictive equations for BC in female athletes. Methods A total of 85 female team handball players (30 wings, 31 backs, 14 pivots, 10 goalkeepers) of different competitive levels underwent anthropometry and a whole-body DXA scan. Multiple linear regression analysis was used to develop predictive equations in a derivation sample (n = 60) of randomly selected players using demographic and anthropometric variables. The developed equations were used to predict DXA outcomes in an independent validation sample (n = 25). Results Statistically significant (P < 0.001) models were developed for total body FM (adjusted R2 = 0.943, standard error of the estimate, SEE = 1,379 g), percentage FM (adjusted R2 = 0.877, SEE = 2.00%), fat-free soft tissue mass (FFSTM) (adjusted R2 = 0.834, SEE = 2,412 g), fat-free mass (FFSTM + bone mineral content; adjusted R2 = 0.829, SEE = 2,579 g). All models were robust to collinearity. Each developed equation was successfully validated in the remaining 25 players using correlation analysis, mean signed difference, t-test, and Bland–Altman plot. The whole dataset of team handball players (n = 85) was used to cross-validate several predictive equations independently developed by others in female athletes. Equations significantly (P < 0.001 for all; t-test) over- or underestimated the corresponding DXA measurements. Discussion It is concluded that in team female handball players the anthropometric equations presented herein are able to estimate body fat and FFSTM with accuracy. Several BC predictive anthropometric equations developed in different female athletic populations revealed inaccurate when tested in team handball players. These results should be of use for coaches, physical trainers, and nutritionists when evaluating the physical status of female team handball players.

Body Composition Differences in Military Pilots and Aircrew

2020 ◽  
Vol 91 (7) ◽  
pp. 565-570
Author(s):  
Álvaro Bustamante-Sánchez ◽  
Vicente Javier Clemente-Suárez
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
Armed Forces ◽  
Body Water ◽  
The Body ◽  
Fat Free Mass ◽  
Helicopter Pilots ◽  
L Proteins ◽  
Total Body ◽  
Military Pilots

BACKGROUND: This research aimed to analyze the body composition (BC) of different military units in the Spanish Armed Forces.METHODS: We studied 179 male aircrew members (86 airplane pilots, 15 helicopter pilots and 78 transport aircrew) using bioimpedance.RESULTS: Airplane pilots (AP) had higher means than transport aircrew (TA) in height (179.56 cm vs. 173.90 cm), total body water (46.72 L vs. 42.96 L), intracellular body water (29.45 L vs. 26.89 L), extracellular body water (17.27 L vs. 16.07 L), proteins (12.72 kg vs.11.63 kg), minerals (4.50 kg vs. 4.15 kg), soft lean mass (60.21 kg vs. 55.29 kg), fat free mass (63.95 kg vs. 58.74 kg), skeletal muscle mass (36.41 kg vs. 33.07 kg), and lower means in body mass index (24.01 kg vs. 25.49 kg), body fat mass (BFM) (13.53 kg vs. 18.81 kg) and percentage of body fat (PBF) (16.83 kg vs. 23.79 kg). Helicopter pilots also had significantly lower means in BFM (13.21 kg vs. 18.81 kg) and PBF (17.11 kg vs. 18.81 kg) than TA.DISCUSSION: The different types of activity between AP (active coping with G forces) and TA (inactive) during operational flights negatively affects the body composition of TA. These results suggest differences in aircrews training and job tasks. Specific training is needed for each unit: it should be individualized, prevent injuries, and be directed by qualified personnel.Bustamante-Sánchez Á, Clemente-Suárez VJ. Body composition differences in military pilots and aircrew. Aerosp Med Hum Perform. 2020; 91(7):565–570.

scholarly journals Biomechanical Aspects of the Foot Arch, Body Balance and Body Weight Composition of Boys Training Football

2021 ◽  
Vol 18 (9) ◽  
pp. 5017
Author(s):  
Joanna M. Bukowska ◽  
Małgorzata Jekiełek ◽  
Dariusz Kruczkowski ◽  
Tadeusz Ambroży ◽  
Jarosław Jaszczur-Nowicki
Keyword(s):  
Body Composition ◽  
Body Height ◽  
Study Groups ◽  
The Body ◽  
Whole Body ◽  
Training Methods ◽  
Training Experience ◽  
Mean Values ◽  
Significance Level ◽  
Body Balance

Background: The aim of the study is to assess the body balance and podological parameters and body composition of young footballers in the context of the control of football training. Methods: The study examined the distribution of the pressure of the part of the foot on the ground, the arch of the foot, and the analysis of the body composition of the boys. The pressure center for both feet and the whole body was also examined. The study involved 90 youth footballers from Olsztyn and Barczewo in three age groups: 8–10 years, 11–13 years old, and 14–16 years. The study used the Inbody 270 body composition analyzer and the EPSR1, a mat that measures the pressure distribution of the feet on the ground. Results: The results showed statistically significant differences in almost every case for each area of the foot between the groups of the examined boys. The most significant differences were observed for the metatarsal area and the left heel. In the case of stabilization of the whole body, statistically significant differences were noted between all study groups. In the case of the body composition parameters, in the examined boys, a coherent direction of changes was noticed for most of them. The relationships and correlations between the examined parameters were also investigated. The significance level in the study was set at p < 0.05. Conclusions: Under the training rigor, a statistically significant increase in stability was observed with age. The total length of the longitudinal arch of both feet of the examined boys showed a tendency to flatten in direct proportion to the age of the examined boys. Mean values of the body composition parameters reflect changes with the ontogenetic development, basic somatic parameters (body height and weight) and training experience, and thus with the intensity and volume of training. This indicates a correct training process that does not interfere with the proper development of the body in terms of tissue and biochemical composition.

Body Composition Modifications Due to the “Search, Rescue and Survival Training” in Male Military Firefighter Cadets

2021 ◽  
Author(s):  
Thiago Ramos de Barros ◽  
Verônica Pinto Salerno ◽  
Thalita Ponce ◽  
Míriam Raquel Meira Mainenti
Keyword(s):  
Body Composition ◽  
Body Weight ◽  
Repeated Measures ◽  
Food Restriction ◽  
Physical Exertion ◽  
High Energy ◽  
The Body ◽  
Fat Free Mass ◽  
Sleep Restriction ◽  
Fat Percentage

ABSTRACT Introduction To train and prepare cadets for a career as firefighters in Rio de Janeiro, the second-year students of the Officers Training Course are submitted to a Search, Rescue, and Survival Training (SRST) course, which is characterized by long periods of high physical exertion and sleep restriction during a 9-day instruction module, and food restriction during a 7-day survival module. The present study investigated changes in the body composition of 39 male cadets submitted to SRST during training and 4 weeks of recovery with no restrictions in food consumption. Materials and Methods Each cadet was evaluated by anthropometric measurements at six time points: pre-SRST; after the first module; after the second module; and after 1, 2, and 4 weeks of recovery. Measurements included body girths and skinfolds, to estimate trunk (chest and waist) and limbs (arm and thigh) dimensions, as well as body composition. Repeated measures ANOVA and Friedman test were applied (depending on each data distribution). Results Statistically significant decreases in body weight (76.2; 69.8-87.2 to 63.9; 58.9-73.5 kg) and fat free mass (FFM, 69.2; 63.7-77.2 to 60.1; 56.2-68.0 kg) were observed following the second module of SRST. Following a single week of recovery, the FFM returned to pre-SRST values. Body weight returned to pre-training levels in 2 weeks. Body fat percentage and mass also significantly decreased during SRST (9.0; 7.7-12.3 to 6.5; 5.1-9.3% and 6.9; 5.6-10.0 to 6.9; 5.6-10.0 kg, respectively), which showed a slower and more gradual recovery that reached pre-SRST values after 4 weeks. The girths of arm, thigh, chest and waist significantly decreased due to SRST. The girths of the limbs (arm and thigh) returned to pre-training values after one month of recovery, while the girths of the trunk (chest and waist) did not return to pre-SRST values during the study period. Conclusions The findings suggest that men who experience periods of high energy demands and sleep restriction followed by a period of food restriction will endure unavoidable physical consequences that can be mostly reversed by a 1-month recovery.

scholarly journals Seasonal and Longitudinal Changes in Body Composition by Sport-Position in NCAA Division I Basketball Athletes

Sports ◽  
2018 ◽  
Vol 6 (3) ◽  
pp. 85 ◽  
Author(s):  
Jennifer Fields ◽  
Justin Merrigan ◽  
Jason White ◽  
Margaret Jones
Keyword(s):  
Body Composition ◽  
Body Mass ◽  
Body Fat ◽  
Fat Mass ◽  
Ncaa Division I ◽  
The Body ◽  
Fat Free Mass ◽  
Strength And Conditioning ◽  
Air Displacement Plethysmography ◽  
Within Subjects

The purpose of this study was to assess the body composition of male and female basketball athletes (n = 323) across season, year, and sport-position using air displacement plethysmography. An independent sample t-test assessed sport-position differences. An analysis of variance was used to assess within-subjects across season (pre-season, in-season, and off-season), and academic year (freshman, sophomore, and junior). For both men and women basketball (MBB, WBB) athletes, guards had the lowest body fat, fat mass, fat free mass, and body mass. No seasonal differences were observed in MBB, but following in-season play for WBB, a reduction of (p = 0.03) in fat free mass (FFM) was observed. Across years, MBB showed an increase in FFM from freshman to sophomore year, yet remained unchanged through junior year. For WBB across years, no differences occurred for body mass (BM), body fat (BF%), and fat mass (FM), yet FFM increased from sophomore to junior year (p = 0.009). Sport-position differences exist in MBB and WBB: Guards were found to be smaller and leaner than forwards. Due to the importance of body composition (BC) on athletic performance, along with seasonal and longitudinal shifts in BC, strength and conditioning practitioners should periodically assess athletes BC to ensure preservation of FFM. Training and nutrition programming can then be adjusted in response to changes in BC.

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.

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