To Assess and Correlate Cardiorespiratory Adaptations in Endurance-Trained Cyclist and Recreational Cyclist

Background: This cross-sectional study aimed to compare and correlate HRV indices, body composition, and aerobic power (VO2max) in recreational cyclists and trained endurance (road) cyclists. 47 male cyclists participated in the study (age: 20.32 ± 0.365; height: 171.50 ± 1.117; BMI: 23.00 ± 0.47) divided into 3 groups (Group 1: Recreational cyclist; group 2: Delhi Cyclist, playing at State/National level; and group 3: IGI cyclist, playing at National/International level). Methods: The participants underwent body composition analysis (BMI, Subcutaneous whole body, body density, body fat %, lean body mass) and anthropometry profiling. HRV was recorded (RMSSD, pNN50%, SDNN, LH/HF ratio) at resting state (~5 minutes) using the Heartware Shimmer ECG device. Later 3 minutes McArdle step test was done to measure VO2 max. Result: The VO2max (F2, 44=22.821, P<0.001) and Body fat % (7-Fold) (F2, 44=6.772, P=0.003) differed significantly between the 3 groups of cyclists. A highly significant negative correlation was seen between cycling experience in years with Resting HR and LF/HF ratio (p<0.01) with their r- values at -.382 and -.448 respectively, and statistically significant negative correlation was indicated with Body fat% (7-fold), r=-.322 (p<0.05). Conclusion: Significant differences were seen in the aerobic capacity (VO2max) between all the 3 groups of cyclists. Improved VO2max in trained road cyclists can be particularly due to the nature of cycling (endurance) training, overall training volume, and reduction in the body fat % and fat mass, which further enhances the adaptations to autonomic control. KEY WORDS: adaptation, autonomic nervous system, body composition, cardiorespiratory, cyclist, endurance, HRV, recreational, road cycling, VO2max.

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

Studia sportiva ◽

10.5817/sts2015-2-5 ◽

2015 ◽

Vol 9 (2) ◽

pp. 57-67 ◽

Cited By ~ 1

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.

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Body composition and Hashimoto disease

Roczniki Państwowego Zakładu Higieny ◽

10.32394/rpzh.2021.0179 ◽

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.

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The changes in proportion and body composition of a woman practicing group fitness training for three months.

HIGHER SCHOOL’S PULSE ◽

10.5604/01.3001.0014.0926 ◽

2020 ◽

Vol 13 (4) ◽

pp. 1-7

Author(s):

Agata Mroczek ◽

Magdalena Chawałek

Keyword(s):

Physical Activity ◽

Body Composition ◽

Lean Body Mass ◽

Body Mass ◽

Body Fat ◽

The Body ◽

Composition Analysis ◽

Training Cycle ◽

Group Fitness ◽

Fitness Training

Background: Physical activity is an excellent form of prevention of modern diseases. The most popular form of physical activity chosen by women is group fitness activities. Women are most likely to focus on exercises for the lower parts of the body (thighs, buttocks, abdomen). In recent years, dance classes (e.g. Zumba) or exercises on mini trampolines have become very popular. Regular fitness training contributes to positive changes in the proportions and body composition. Aim of the study: The aim of the study was to assess the proportions and body composition of a woman via a 3-month group fitness training program. Case report: The study involved a woman aged 26, participating in fitness classes three times a week for a period of three months. The woman participated in the following training cycle: twice a week (Monday and Wednesday) in the Jumping Frog interval training on a trampoline; twice a week (Monday and Friday) in ZUMBA® classes; and once a week (Wednesday) in ABT classes (abdomen, buttocks, thighs). Her height and weight, waist and hips circumference, and the thickness of three skinfolds (subscapular, triceps, abdominal) were measured. Body mass index (BMI) and waist to hip ratio (WHR) were calculated and body composition analysis (% of body fat, lean body mass) was performed. Two measurements were made: the first at the beginning of the training cycle, the second on completion. After three months of training, there were a decrease in body weight (2.2 kg), BMI (0.77 kg/m2), waist circumference (4 cm), hip circumference (2 cm), WHR (0.03), subscapular, abdominal and triceps skinfold (1 mm, 3 mm, 3 mm), body fat (2.6%) and perimeters, and an increase in lean body mass (1 kg). Conclusions: This study shows a positive effect of fitness training on body proportions and body composition.

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

The Journal of Agricultural Science ◽

10.1017/s0021859600061980 ◽

1975 ◽

Vol 85 (2) ◽

pp. 193-204 ◽

Cited By ~ 21

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.

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Evaluation of the relationship between body composition and weight-height index – BMI

Postępy Higieny i Medycyny Doświadczalnej ◽

10.5604/01.3001.0013.5564 ◽

2019 ◽

Vol 73 ◽

pp. 572-580

Author(s):

Katarzyna Banach ◽

Paweł Glibowski ◽

Paulina Skorek

Keyword(s):

Body Composition ◽

Body Mass ◽

Body Fat ◽

Epidemiological Studies ◽

Overweight And Obesity ◽

The Body ◽

Impedance Method ◽

Composition Analysis ◽

Obese People ◽

The Relationship

Aim: Body composition, especially the mass of adipose tissue, affects the risk of developing the metabolic and cardiovascular diseases as well as some cancers. The aim of this study was to determine the relationship between the body composition of adults and their Body Mass Index. Material/Methods: The study involved 120 subjects (69 women and 51 men) aged 19 – 66 (30.55 ± 10.41). The recruited subjects were assigned to three subgroups: with normal body weight, overweight and obesity, depending on the BMI value. There were 40 subjects in each subgroup, including 23 women and 17 men. Besides the measurements of height and body mass, the SECA mBCA515 analyser was applied for the body composition analysis using the bioelectric impedance method. Results: A significant association was found between the BMI index and fat mass, lean mass and muscle mass, both in the whole group and after taking into account the sex. The correlation coefficient R range was from –0.88 to 0.97. The incidence of obesity in the studied group according to body fat content criteria (>25% for men and >30% for women) was 57%, while according to BMI criteria –33%. BMI cut-off points for obesity were 27.8, 26.4 and 26.4 kg/m2 for men, women and for all, respectively. Conclusions: In epidemiological studies, to identify obese people, body fat should also be taken into account in addition to BMI. If obesity is understood as excess fat, and not excess weight, the cut-off points for BMI-based obesity should be lowered.

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Stav antropometrických parametrov a telesného zloženia u detí mladšieho školského veku

Studia sportiva ◽

10.5817/sts2017-2-2 ◽

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.

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Serum Leptin Levels Correlate with Growth Hormone Secretion and Body Fat in Children*

The Journal of Clinical Endocrinology & Metabolism ◽

10.1210/jcem.84.10.6035 ◽

1999 ◽

Vol 84 (10) ◽

pp. 3586-3590

Author(s):

Hans Fors ◽

Hisafumi Matsuoka ◽

Ingvar Bosaeus ◽

Sten Rosberg ◽

Kerstin Albertsson Wikland ◽

...

Keyword(s):

Body Composition ◽

Body Fat ◽

Negative Correlation ◽

Binding Protein ◽

Significant Negative Correlation ◽

Strong Positive Correlation ◽

Positive Correlation ◽

Gh Secretion ◽

Igf Binding ◽

Igf Binding Protein

Abstract The aim of this study was to investigate the relationship among GH secretion, leptin concentrations, and body composition measured with x-ray absorptiometry (DXA) in children. In total, 71 children were investigated, 51 males and 20 females. Their mean chronological age was 10.8 yr (range, 6.2–17.7 ys), and their mean height (sd) was −2.1 (0.63) sd scores. Their mean weight for height sd scores (WHSDS) was 0.2 (1.18). Body composition was investigated using DXA. Blood samples were taken for analysis of leptin, insulin-like growth factor I (IGF-I), IGF-binding protein-3, and 24-h GH secretion. A positive correlation was found between leptin and total body fat (r = 0.83; P< 0.0001) and when fat was expressed as a percentage of body weight (r = 0.86; P < 0.0001). There were significant (P < 0.0001) relationships between leptin and WHSDS (r = 0.45) and between leptin and body mass index (r = 0.69). A significant gender difference in leptin levels was found, but this disappeared after adjustment for body fat, as measured by DXA. There were significant (P< 0.001) inverse correlations between leptin and the AUCb for GH (r = −0.41), leptin, and GHmax (r =− 0.38), where AUCb is the area under the curve above the calculated baseline, and GHmax is the maximum peak during the 24-h GH profile (percent fat and AUCb for GH, r =− 0.43; percent fat and GHmax, r = −0.39). In a multiple stepwise forward regression analysis with leptin as the dependent variable, the percent trunk fat accounted for 77.7% of the leptin variation. With AUCb for GH as the dependent variable, the percent trunk fat accounted for 20.3% of the variation. With GHmax as the dependent variable, the percent trunk fat accounted for 18.8% of the variation, IGF-binding protein-3 for another 8.5%, and the percentage of fat from arms and legs for another 4.4%. We demonstrated a strong positive correlation between leptin levels and body fat, a significant negative correlation between leptin levels and GH secretion, and a significant negative correlation between body fat and GH secretion. We have also shown that specific regional fat depots have different relationships with leptin and particular markers of GH secretion.

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Development and validation of an equation to estimate body fat in elderly women

Brazilian Journal of Kinanthropometry and Human Performance ◽

10.1590/1980-0037.2020v22e73625 ◽

2020 ◽

Vol 22 ◽

Author(s):

Vinicius de Oliveira Damasceno ◽

Tercio Araújo do Rego Barros ◽

Willemax dos Santos Gomes ◽

Jhonnatan Vasconcelos Pereira Santos ◽

Daniela Karina da Silva Ferreira ◽

...

Keyword(s):

Body Composition ◽

Older Women ◽

Body Mass ◽

Body Fat ◽

Elderly Women ◽

The Body ◽

Whole Body ◽

Body Composition Assessment ◽

Percentage Body Fat ◽

New Equation

Abstract The purpose of this present study was to develop and validate a prediction equation for body composition assessment using anthropometric measures of elderly women. This is cross-sectional correlational study with 243 older women ± 64.5 years old and body mass index (BMI) ± 28.70 kg/m². For the development of the equation it was utilized the method of hold-out sample validation. The participants were randomly divided into equation development group (96 elderly women) and a group for validation (147 elderly women). Total body mass, height, waist and hip circumferences, ratio waist-hip ratio and BMI were measured. The whole-body dual-energy X-ray absorptiometry (DXA) assessed body composition (percentage of body fat, fat mass, and fat-free mass). The equations were developed using multiple linear regression, with validation by the stepwise method; the comparison of the equations was analyzed by the paired Student's t test and the analysis of residual scores by the method of Blant and Altman. The New Equation presents a strong correlation (R = 0.83) and (R² = 0.69), and a standard error of estimation equals to 3.21% for percentage body fat prediction. The mean difference between the estimations of percentage body fat from DXA and the New Equation was 0.11% (t(0,180); P = 0.850). Therefore, the New Equation had an accuracy of 93.5% and a total error of 1.8%. The body fat estimation in older women using this New Equation based on BMI and age is valid and accurate.

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Body Composition Analysis Techniques in Adult and Pediatric Patients: How Reliable are They? How Useful are they Clinically?

Peritoneal Dialysis International ◽

10.1177/089686080702702s42 ◽

2007 ◽

Vol 27 (2_suppl) ◽

pp. 245-249 ◽

Cited By ~ 3

Author(s):

Graham Woodrow

Keyword(s):

Body Composition ◽

Body Fat ◽

Clinical Assessment ◽

Measurement Techniques ◽

Bioelectrical Impedance ◽

Impedance Analysis ◽

Whole Body ◽

Composition Analysis ◽

Body Fat Content ◽

Body Compartments

Complex abnormalities of body composition occur in peritoneal dialysis (PD). These abnormalities reflect changes in hydration, nutrition, and body fat, and they are of major clinical significance. Clinical assessment of these body compartments is insensitive and inaccurate. Frequently, simultaneous changes of hydration, wasting, and body fat content can occur, confounding clinical assessment of each component. Body composition can be described by models of varying complexity that use one or more measurement techniques. “Gold standard” methods provide accurate and precise data, but are not practical for routine clinical use. Dual energy X-ray absorptiometry allows for measurement of regional as well as whole-body composition, which can provide further information of clinical relevance. Simpler techniques such as anthropometry and bioelectrical impedance analysis are suited to routine use in clinic or at the bedside, but may be less accurate. Body composition methodology sometimes makes assumptions regarding relationships between components, particularly in regard to hydration, which may be invalid in pathologic states. Uncritical application of these methods to the PD patient may result in erroneous interpretation of results. Understanding the foundations and limitations of body composition techniques allows for optimal application in clinical practice.

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