scholarly journals Body composition predicted with a Bayesian network from simple variables

2010 ◽  
Vol 105 (8) ◽  
pp. 1265-1271 ◽  
Author(s):  
Laurence Mioche ◽  
Caroline Bidot ◽  
Jean-Baptiste Denis
Keyword(s):  
Public Health ◽  
Body Composition ◽  
Body Weight ◽  
Bayesian Network ◽  
Linear Models ◽  
The Body ◽  
Fat Free Mass ◽  
Composition Analysis ◽  
Model Parameters ◽  
Health Issues

The relative contributions of fat-free mass (FFM) and fat mass (FM) to body weight are key indicators for several major public health issues. Predictive models could offer new insights into body composition analysis. A non-parametric equation derived from a probabilistic Bayesian network (BN) was established by including sex, age, body weight and height. We hypothesised that it would be possible to assess the body composition of any subject from easily accessible covariables by selecting an adjusted FFM value within a reference dual-energy X-ray absorptiometry (DXA) measurement database (1999–2004 National Health and Nutrition Examination Survey (NHANES),n10 402). FM was directly calculated as body weight minus FFM. A French DXA database (n1140) was used (1) to adjust the model parameters (n380) and (2) to cross-validate the model responses (n760). French subjects were significantly different from American NHANES subjects with respect to age, weight and FM. Despite this different population context, BN prediction was highly reliable. Correlations between BN predictions and DXA measurements were significant for FFM (R20·94,P < 0·001, standard error of prediction (SEP) 2·82 kg) and the percentage of FM (FM%) (R20·81,P < 0·001, SEP 3·73 %). Two previously published linear models were applied to the subjects of the French database and compared with BN predictions. BN predictions were more accurate for both FFM and FM than those obtained from linear models. In addition, BN prediction generated stochastic variability in the FM% expressed in terms of BMI. The use of such predictions in large populations could be of interest for many public health issues.

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.

Effects of Hydroxyurea Administration on the Body Weight, Body Composition and Exercise Performance of Patients with Sickle-Cell Anaemia

1997 ◽  
Vol 92 (5) ◽  
pp. 481-486 ◽  
Author(s):  
A. C. Hackney ◽  
W. Hezier ◽  
T. P. Gulledge ◽  
S. Jones ◽  
D. Strayhorn ◽  
...  
Keyword(s):  
Body Composition ◽  
Body Weight ◽  
Weight Gain ◽  
Sickle Cell ◽  
Sickle Cell Anaemia ◽  
The Body ◽  
Aerobic Performance ◽  
Composition Analysis ◽  
Anaerobic Performance ◽  
Significant Difference

1. As an ancillary study carried out during the recently completed Multicenter Study of Hydroxyurea, we examined the effect of hydroxyurea on the body weight, body composition and exercise capacity of adult patients with sickle-cell anaemia. 2. The subjects received either hydroxyurea (six males and four females) or placebo (eight males and six females). Data for each subject were generated during four separate 24 h admissions to the General Clinical Research Center. These admissions occurred at baseline and then at 6, 12 and 18 months after the start of study drug (hydroxyurea or placebo) administration. During each admission, body composition was measured by using a dual X-ray absorptiometer, and exercise testing was performed by cycle ergometry. Anaerobic performance was assessed according to a ‘Wingate’ protocol (20 s at maximal intensity against a cycling resistance of 7.5% body weight). Aerobic performance was examined using a steady state submaximal exercise protocol (10 min cycling time). 3. At baseline, no significant difference in any parameter was found between the hydroxyurea- and placebo-treated groups. At 18 months, the hydroxy-urea-treated subjects exhibited an average weight gain of 3.16 kg. The mean weight gain in the placebo-treated subjects was 1.82 kg. Body composition analysis showed that the additional weight in both groups involved both lean and fat body mass components. In anaerobic performance, the subjects given hydroxyurea showed an increase in peak muscle power of 104.9 W. The placebo group also showed an increase, but theirs was a more modest gain of 57.7 W. The most marked improvement in anaerobic performance was observed in the hydroxyurea-treated men (P < 0.05). In aerobic performance, the hydroxyurea-treated subjects exhibited a decrease in peak heart rate response to a standardized workload of 15.2 beats/min, as compared with a decrease of only 4.3 beats/min in the placebo-treated patients. 4. Taken together, the overall weight gain, combined with increases in both anaerobic muscular performance and aerobic cardiovascular efficiency, provides objective data to support the subjective impression that hydroxyurea administration produces an improvement in the physical capacity of patients with sickle-cell anaemia.

scholarly journals Body composition and Hashimoto disease

2021 ◽  
pp. 345-352
Keyword(s):  
Body Composition ◽  
Body Weight ◽  
Body Fat ◽  
Bioelectrical Impedance ◽  
Good Health ◽  
The Body ◽  
Composition Analysis ◽  
Tissue Water ◽  
Healthy Women ◽  
Hashimoto Disease

Background. Body weight or BMI do not provide any information about the content of muscle tissue, water content, body fat and its distribution in the body. Thyroid dysfunction is associated with a change in body weight, but also its composition regardless of physical activity. Objective. The aim of the study was to compare the body composition of female patients diagnosed with Hashimoto's disease (HD) and the body composition of healthy women who have never been treated before due to thyroid diseases. Materials and methods. The study involved 47 women diagnosed with Hashimoto disease (HD) and 65 women declaring good health. Body mass and height and body composition analysis using bioelectrical impedance analysis were performed using the TANITA multi-frequency segmental body composition analyzer. Variables having a distribution similar to the normal distribution were analyzed by the analysis of variance (ANOVA), otherwise the Kruskal-Wallis test was used. Results. Women with Hashimoto disease were characterized by significantly higher values of body weight, and thus BMI index, than healthy women (respectively 73.64 kg vs. 64.36 kg, p <0.0001; 27.65 kg/m2 vs. 23.95 kg/m2, p <0.001).The problem of excess body fat in the body statistically significantly more often affected women with Hashimoto disease than healthy women (44.7% vs. 13.8%, p <0.001). Conclusions. The results regarding the weight and composition of the patients treated for thyroid disease indicate the need for further in-depth analyses. Even small abnormalities of the thyroid function in the range of reference values may result in the development of many adverse changes in the body.

scholarly journals The role and place of bioimpedance analysis assessment of body composition of children and adolescents with different body mass

2018 ◽  
Vol 17 (2) ◽  
pp. 121-132 ◽  
Author(s):  
Ya. V. Girsh ◽  
O. A. Gerasimchik
Keyword(s):  
Body Composition ◽  
Body Weight ◽  
Children And Adolescents ◽  
Body Mass ◽  
Clinical Medicine ◽  
Cell Mass ◽  
Overweight And Obesity ◽  
The Body ◽  
Composition Analysis ◽  
Bioimpedance Analysis

The steady rise of obesity in children and adolescents emphasizes the need for new, integrated approaches to its diagnosis and therapy. When diagnosing obesity and choosing methods for its correction, it is fundamentally important to use reliable methods of estimating the amount of adipose tissue. Using the body mass index is not always sufficient, since it does not provide complete information on quantitative content in the body weight of the patient’s body. For these purposes in clinical medicine use of bioimpedance analysis to assess the indicators, which characterize the basal metabolism, active cell mass, fat and basirova mass and total water content in the body. However, the holding of bioimpedance body composition analysis is currently limited mainly to dietetics and sports medicine, and adult patients. Quite interesting is the use of the bioimpedance method in the pediatric age group for accurate evaluation of body composition of children of various ages and body weight that will allow for dynamic control of all types of metabolism to evaluate the effectiveness of the observation and treatment of patients with overweight and obesity.

Personality and the body composition of athletes using the example of the Polish national youth female wrestling team

2017 ◽  
Vol 2 (8) ◽  
pp. 107-109
Author(s):  
Paweł Piepiora ◽  
Magdalena Superson ◽  
Kazimierz Witkowski
Keyword(s):  
Body Composition ◽  
Body Weight ◽  
Psychological Needs ◽  
The Body ◽  
Composition Analysis ◽  
Combat Sport ◽  
Number Of Factors ◽  
Affect Body Weight ◽  
Study Results ◽  
The Relationship

Introduction. A positive relationship is recognised in literature between strength and body weight. On that basis a division into weight categories has been introduced in many combat sports. Nutritional behaviours are influenced by a number of factors that indirectly affect body weight. The purpose of this study was to examine the relationship between personality and the body composition of athletes using the example of the Polish national youth female wrestling team. Material and methods. The study consisted in the performance of a personality evaluation using the NEO-FFI questionnaire and a body composition analysis using a TANITA BC-418 analyser. 15 athletes from the Polish national youth female wrestling team aged (20.26 ± 1.43 years) participated in the study. Results. The study showed a lack of relationship between personality and body composition in members of the national wrestling team. Conclusions. Research points to a relationship between nutritional behaviours and satisfying not only the physiological, but also psychological needs of the body. A thorough investigation of this mechanism and of the possibility of its application may be very helpful, especially for combat sport athletes. The ability to optimise body weight, without the necessity of ensuring its fast reduction during the pre-start period, may have a significant impact on a person’s results.

scholarly journals Energy intake, physical activity and body weight: a simulation model

1995 ◽  
Vol 73 (3) ◽  
pp. 337-347 ◽  
Author(s):  
Klaas R. Westerterp ◽  
Jeroen H. H. L. M. Donkers ◽  
Elisabeth W. H. M. Fredrix ◽  
Piet oekhoudt
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Body Weight ◽  
Energy Balance ◽  
Energy Expenditure ◽  
Dietary Intake ◽  
Energy Intake ◽  
Relative Size ◽  
The Body ◽  
Fat Free Mass

In adults, body mass (BM) and its components fat-free mass (FFM) and fat mass (FM) are normally regulated at a constant level. Changes in FM and FFM are dependent on energy intake (EI) and energy expenditure (EE). The body defends itself against an imbalance between EI and EE by adjusting, within limits, the one to the other. When, at a given EI or EE, energy balance cannot be reached, FM and FFM will change, eventually resulting in an energy balance at a new value. A model is described which simulates changes in FM and FFM using EI and physical activity (PA) as input variables. EI can be set at a chosen value or calculated from dietary intake with a database on the net energy of foods. PA can be set at a chosen multiple of basal metabolic rate (BMR) or calculated from the activity budget with a database on the energy cost of activities in multiples of BMR. BMR is calculated from FFM and FM and, if necessary, FFM is calculated from BM, height, sex and age, using empirical equations. The model uses existing knowledge on the adaptation of energy expenditure (EE) to an imbalance between EI and EE, and to resulting changes in FM and FFM. Mobilization and storage of energy as FM and FFM are functions of the relative size of the deficit (EI/EE) and of the body composition. The model was validated with three recent studies measuring EE at a fixed EI during an interval with energy restriction, overfeeding and exercise training respectively. Discrepancies between observed and simulated changes in energy stores were within the measurement precision of EI, EE and body composition. Thus the consequences of a change in dietary intake or a change in physical activity on body weight and body composition can be simulated.

scholarly journals Left ventricular remodeling in rugby is a physiological adaptation to exercise: a pilot study conducted with high-level athletes

2021 ◽  
Author(s):  
Nuno Dias Rato ◽  
Joanna Richards
Keyword(s):  
Body Composition ◽  
Interventricular Septum ◽  
Left Ventricular ◽  
The Body ◽  
Fat Free Mass ◽  
Physiological Adaptation ◽  
Composition Analysis ◽  
Internal Diameter ◽  
High Level ◽  
Rugby Players

Abstract Purpose Literature examining left ventricular (LV) structural adaptations to combined strength and endurance training is inconsistent. Rugby is a sport that combines these two exercise modalities, both during training and match play. This study aimed to explore differences in LV structure between high-level rugby players and untrained controls. Body composition analysis was performed to determine the most appropriate indexing variable for LV mass (LVM) and understand if increases in LV represent either a training-related physiological adaptation or reflect the groups’ anthropometric differences. Methods A cross-sectional design compared 10 rugby players and 10 untrained age-matched, male controls. Body composition was obtained by bioelectrical impedance. M-mode echocardiographic imaging was performed on the LV from the parasternal long axis view. Results Significantly greater end-diastolic interventricular septum, LV internal diameter, posterior wall thickness, LVM and LVM/fat-free mass (FFM) (p < 0.05) were found in rugby players compared to age-matched controls. Moreover, Pearson’s correlation tests revealed FFM to be the body composition variable with the strongest correlation to LVM (r = 0.775, p < 0.001). Conclusion The differences in LV structure between groups suggest that the combined endurance and strength training that rugby athletes are subjected to, induce a process of concentric and eccentric enlargement of the LV structure. Furthermore, the association found with FFM, suggests it to be the most appropriate body scaling variable to index to LVM and, thus, should be considered when describing increases in LVM. The present research suggests that increased LVM in the athletes group represents true physiological adaptations to training.

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.

INFLUENCE OF ENERGY INTAKE ON DEVELOPMENT OF BROILER BREEDER PULLETS

1990 ◽  
Vol 70 (1) ◽  
pp. 259-266 ◽  
Author(s):  
C. D. BENNETT ◽  
S. LEESON
Keyword(s):  
Body Composition ◽  
Body Weight ◽  
Luteinizing Hormone ◽  
Energy Intake ◽  
High Energy ◽  
The Body ◽  
Fat Free Mass ◽  
Lower Percentage ◽  
Broiler Breeder ◽  
Hormone Levels

One hundred and two broiler breeder pullets were reared from 10 wk of age on one of three diets formulated to contain 15% CP and provide 10.67, 11.72, or 12.89 MJ ME kg−1. All birds received the same daily feed allotment. At 20 wk of age, the pullets were light-stimulated and nine birds per treatment were slaughtered for carcass analysis. The remaining birds were slaughtered for carcass analysis at the time that they laid their first egg. Twelve birds from each treatment were blood sampled from 10–25.5 wk of age and plasma luteinizing hormone levels determined. While all birds had similar ages at first egg, birds given the high energy diet grew faster and had more fat, protein and fat-free mass in the body at first egg relative to birds consuming the least amount of energy. Birds fed the high energy diet also displayed a higher percentage of fat and lower percentage of protein at first egg than did the birds fed the low energy diet. Coefficients of variation for weight of protein and fat-free mass at first egg were 9.1 and 7.9%, respectively, compared to 24.4% for grams of fat at first egg; protein and fat-free masses appeared to be relatively constant at first egg. Linear regressions suggested a strong relationship between body composition and body weight both at 20 wk of age and first egg. Plasma luteinizing hormone levels were unaffected by diet. Key words: Broiler breeder, body composition, body weight, sexual maturity, energy intake

Novel Equations to Estimate Resting Energy Expenditure during Sitting and Sleeping

2021 ◽  
pp. 1-9
Author(s):  
Akiko Uchizawa ◽  
Masanobu Hibi ◽  
Hiroyuki Sagayama ◽  
Simeng Zhang ◽  
Haruka Osumi ◽  
...  
Keyword(s):  
Body Composition ◽  
Body Weight ◽  
Energy Expenditure ◽  
Resting Energy Expenditure ◽  
Individual Characteristics ◽  
The Body ◽  
Fat Free Mass ◽  
Middle Aged ◽  
Metabolic Chamber ◽  
Resting Energy

<b><i>Introduction:</i></b> Young and early middle-aged office workers spend most of the day sitting or sleeping. Few studies have used a metabolic chamber to report sitting resting energy expenditure (REE) or sleeping metabolic rate (SMR) estimation equations. This study aimed to develop novel equations for estimating sitting REE and SMR, and previously published equations for SMR were compared against measured values. <b><i>Methods:</i></b> The relationships among sitting REE, SMR, and body composition measured in clinical trials were analyzed. The body composition (fat-free mass [FFM] and fat mass) and energy metabolism of 85 healthy young and early middle-aged Japanese individuals were measured using dual-energy X-ray absorptiometry and a metabolic chamber, respectively. Novel estimate equations were developed using stepwise multiple regression analysis. Estimates of SMR using a new equation and 2 published equations were compared against measured SMR. <b><i>Results:</i></b> The sitting mREE and mSMR were highly correlated (<i>r</i> = 0.756, <i>p</i> &#x3c; 0.01). The new FFM-based estimate accounted for 50.4% of the variance in measured sitting REE (mREE) and 82.3% of the variance in measured SMR (mSMR). The new body weight-based estimate accounted for 49.3% of the variance in sitting mREE and 82.2% of the variance in mSMR. Compared with mSMR, the SMR estimate using an FFM-based published equation was slightly underestimated. <b><i>Conclusion:</i></b> These novel body weight- and FFM-based equations may help estimate sitting REE and SMR in young and early middle-aged adults. Previous SMR estimated FFM-based equations were slightly underestimated against measured SMR; however, we confirmed the previous SMR estimate equations could be useful. This finding suggests that sitting REE and SMR can be easily estimated from individual characteristics and applied in clinical settings.

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