scholarly journals Relationships between Body Composition Parameters and Phase Angle as Related to Lifestyle among Young People

2021 ◽  
Vol 11 (1) ◽  
pp. 80
Author(s):  
Aleksandra Jaremków ◽  
Iwona Markiewicz-Górka ◽  
Wojciech Hajdusianek ◽  
Paweł Gać
Keyword(s):  
Body Composition ◽  
Body Mass ◽  
Phase Angle ◽  
The Body ◽  
Composition Analysis ◽  
Anatomy And Physiology ◽  
Alcohol Water ◽  
Free Body ◽  
Vegetables And Fruits ◽  
Medical University

The aim of the study was to indicate which body composition parameters and which lifestyle components affect the phase angle (PA) value in young adults. Two-hundred-and-eighty-one students at Wroclaw Medical University participated in the study. A survey on respondent lifestyles was followed by anthropometric measurements, body composition analysis, and basal metabolic rate (BMR) calculation. The differences in the body composition of men and women corresponded to their sexual anatomy and physiology. Sex-dependent differences in lifestyle were also reported. The study revealed a relationship between PA and height, weight, BMR, BMI (body mass index), FFM (fat-free body mass), bone mass, water mass, muscle mass (r~0.4–0.7), ECW/ICW (extracellular water/intracellular water) and fat mass (r~−(0.4–0.6)) for the entire studied group. The relationship between PA values and lifestyle components concerned consumption of energy drinks, cola, alcohol, water, vegetables and fruits, meat, and also intervals between meals, time for physical exercises, and screen time (r~±0.2). The research shows that the PA value increases with an increase in positive body composition parameters. Following the principles of proper nutrition and physical activity increases PA values in most cases.

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.

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

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.

scholarly journals AB0244 BODY MASS INDEX AND BODY COMPOSITIONS CORRELATES WITH CAROTID INTIMA MEDIA THICKNESS IN RHEUMATOID ARTHRITIS

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1422.1-1422
Author(s):  
S. Hannawi ◽  
H. Hannawi ◽  
M. Alamadi ◽  
R. Sultan ◽  
I. Al Salmi
Keyword(s):  
Rheumatoid Arthritis ◽  
Cardiovascular Disease ◽  
Body Mass Index ◽  
Body Composition ◽  
Body Mass ◽  
Linear Regression Analysis ◽  
The Body ◽  
Composition Analysis ◽  
Cvd Risk ◽  
The Mean

Background:Risk of rheumatoid arthritis (RA) had been reported in overweight obese compared with normal weight people. More, obesity is associated with high prevalence of cardiovascular disease (CVD) risk factors in RA. No previous publications have examined the detailed body composition parameters among RA, or its relation to CVD in RA.Objectives:This study looked at the body composition and the body mass index and correlated it with the subclinical cardiovascular disease as manifested by carotid intima media thickness (cIMT).Methods:During 2019, a cross-sectional study was carried out to recruit cases that met the 2010 American College of Rheumatology/EULAR criteria for diagnosis of RA. All the patients were free of cardiovascular and or cerebrovascular disease. Patients with clinical diagnosis of hypertension, diabetes, renal disease, dyslipidemia, thyroid disorder and pregnant female were excluded. None of the participants is smoker or had history of smoking.cMIT ultrasound (US) measures were obtained using a real-time US scanner equipped with a 7.5 MHz linear probe by a single sonographer. Patients underwent a detailed body composition analysis within the same week of the cIMT measurement. The body composition analysis involved assessing the level of total body water, protein, minerals, body fat mass, intra- and extracellular water, basal metabolic rate, waist hip ratio, visceral fat level, obesity degree, bone mineral content, body cell mass, arm and arm muscle circumference, detailed muscle fat analysis, obesity analysis, segmental lean analysis, weight control parameters, and segmental fat analysis.Results:During 2019, 35 female RA patients were recruited that met the inclusion criteria. The mean (SD) of the age was 52 (10) with a minimum of 20 and maximum of 72 years old. The mean (SD) of cIMT was 0.59 (0.098) mm with a minimum of 0 .38 and maximum of 0.87. The mean (SD) of the BMI was 30.7 (7.0) with a minimum of 20 and maximum of 56.9 Kg/m2. Mean systolic blood pressure was 126 (19) with a minimum of 91 and maximum of 140 mmHg. Also, the mean diastolic blood pressure was mmHg 74 (11) with a minimum of 49 and maximum of 96.The correlation of cIMT with the parameters of the body composition in a linear regression analysis showed a positive linear relationship between cIMT and each of the Body fat mass (kg): P=0.045, CI 0.000-0.004), BMI (p=0.029, CI: 0.001, 0 .009), the target weight (p=0.040, CI: 0.000- 0.001), extracellular water (P=0.033, CI: 0.002, 0.034) and bone mineral content (p=0.031, CI: 0.009, 0.192).The Multiple linear regression analysis showed persistence of the relationship between the cIMT and the age of the participants (p=0.049, CI:0.001-0.007) and the BMI (p=0.031, CI: 0.002- 0.032), with R2of the model was 0.38.Conclusion:To the best of our knowledge, this is the first paper to examine the detailed body composition parameters among RA and found a good correlation with subclinical cardiovascular disease as manifested by cIMT. More research with larger study population is needed to look at the association between body mass index and CVD risk factor in RA.References:[1]Body mass index and the risk of rheumatoid arthritis: a systematic review and dose-response meta-analysis. Qin B, Yang M, Fu H, Ma N, Wei T, Tang Q, Hu Z, Liang Y, Yang Z, Zhong R. Arthritis Res Ther. 2015; 17(1): 86. doi: 10.1186/s13075-015-0601-x[2]Body Mass Index and the Risk of Rheumatoid Arthritis: An Updated Dose-Response Meta-Analysis. Feng X, Xu X, Shi Y, Liu X, Liu H, Hou H, Ji L, Li Y, Wang W, Wang Y, Li D. Biomed Res Int. 2019; 2019: 3579081. doi: 10.1155/2019/3579081Disclosure of Interests:None declared

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

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.

scholarly journals Changes in Children’s Body Composition and Posture during Puberty Growth

Children ◽  
2021 ◽  
Vol 8 (4) ◽  
pp. 288
Author(s):  
Wojciech Rusek ◽  
Joanna Baran ◽  
Justyna Leszczak ◽  
Marzena Adamczyk ◽  
Rafał Baran ◽  
...  
Keyword(s):  
Body Composition ◽  
Adipose Tissue ◽  
Regression Analysis ◽  
Body Mass ◽  
Pelvic Obliquity ◽  
The Body ◽  
Body Posture ◽  
Older Children ◽  
The Difference ◽  
The Right

The main goal of our study was to determine how the age of children, puberty and anthropometric parameters affect the formation of body composition and faulty body posture development in children. The secondary goal was to determine in which body segments abnormalities most often occur and how gender differentiates the occurrence of adverse changes in children’s body posture and body composition during puberty. The study group consisted of 464 schoolchildren aged from 6–16. Body posture was assessed with the Zebris system. The composition of the body mass was tested with Tanita MC 780 MA body mass analyzer and the body height was measured using a portable stadiometer PORTSTAND 210. The participants were further divided due to the age of puberty. Tanner division was adopted. The cut-off age for girls is ≥10 years and for boys it is ≥12 years. The analyses applied descriptive statistics, the Pearson correlation, stepwise regression analysis and the t-test. The accepted level of significance was p < 0.05. The pelvic obliquity was lower in older children (beta = −0.15). We also see that age played a significant role in the difference in the height of the right pelvis (beta = −0.28), and the difference in the height of the right shoulder (beta = 0.23). Regression analysis showed that the content of adipose tissue (FAT%) increased with body mass index (BMI) and decreased with increasing weight, age, and height. Moreover, the FAT% was lower in boys than in girls (beta negative equal to −0.39). It turned out that older children (puberty), had greater asymmetry in the right shoulder blade (p < 0.001) and right shoulder (p = 0.003). On the other hand, younger children (who were still before puberty) had greater anomalies in the left trunk inclination (p = 0.048) as well as in the pelvic obliquity (p = 0.008). Girls in puberty were characterized by greater asymmetry on the right side, including the shoulders (p = 0.001), the scapula (p = 0.001) and the pelvis (p < 0.001). In boys, the problem related only to the asymmetry of the shoulder blades (p < 0.001). Girls were characterized by a greater increase in adipose tissue and boys by muscle tissue. Significant differences also appeared in the body posture of the examined children. Greater asymmetry within scapulas and shoulders were seen in children during puberty. Therefore, a growing child should be closely monitored to protect them from the adverse consequences of poor posture or excessive accumulation of adipose tissue in the body.

Body phenotypes and sexual maturation in Brazilian and US adolescents: evidence for a change in body mass index Category

2020 ◽  
pp. 1-26
Author(s):  
Jéssica Cumpian Silva ◽  
Ana Elisa Madalena Rinaldi ◽  
Francisco de Assis Guedes Vasconcelos ◽  
Maria Alice Altenburg Assis ◽  
Camila Medeiros Mazzeti ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Body Mass ◽  
Phase Angle ◽  
Sexual Maturation ◽  
Biochemical Parameters ◽  
Pubertal Development ◽  
The United States ◽  
Pubic Hair ◽  
Cholesterol Ratio

ABSTRACT Objective: Our study aimed to describe body phenotypes (BP) estimated by multivariate analysis and their association with body mass. Design: Body phenotypes were defined based on demographic variables, anthropometric data (body mass, height, skinfolds and circumferences), body composition (phase angle measured by bioelectrical impedance analysis), biochemical parameters (triglycerides, glucose, total cholesterol ratio/Low Density Lipoproteins (LDL), haemoglobin and sexual maturation (pubic hair and breasts or gonads). Analysis of variance (ANOVA) was performed to verify the differences between skin colour and the stages of pubertal development, body phenotypes, body composition, anthropometric, and biochemical variables. Setting: Cities of São Paulo-SP, Piracicaba-SP and Florianópolis-SC from Brazil and the United States. Participants: 9269 adolescents aged between 10 to 15 years old. Results: The composition of BP was similar in all surveys, which are: BP1 was composed by skinfolds, body mass and circumferences variables; BP2 by pubic hair, breast in girls or gonad in boys, height and age; BP3 by cholesterol, triglycerides and glucose; and BP4 by phase angle, haemoglobin and glucose (negative loading). There was a strong correlation (r = 0.9, p <0.001) between BP1 and body mass index. Conclusion: We highlighted independence observed between biochemical parameters, anthropometry, body composition and sexual maturation. BP may support the calculation of scores for diagnosis of obesity based on anthropometric variables and overcome ambiguity in the isolated use of body mass index.

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 Ichthyometry and electrical bioimpedance analysis to estimate the body composition of tambatinga

2014 ◽  
Vol 44 (2) ◽  
pp. 279-286 ◽  
Author(s):  
Francisco Teixeira Andrade ◽  
Márvio Lobão Teixeira de Abreu ◽  
João Batista Lopes ◽  
Agustinho Valente de Figueiredo ◽  
Maria de Nazaré Bona Alencar Araripe ◽  
...  
Keyword(s):  
Body Composition ◽  
Water Content ◽  
Correlation Coefficients ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
The Body ◽  
Composition Analysis ◽  
Average Weight ◽  
Electrical Bioimpedance ◽  
The Relationship

Body composition analysis is relevant to characterize the nutritional requirements and finishing phase of fish. The aim of this study was to investigate the relationship between ichthyometric (weight, total and standard length, density and yields), bromatological (fat, protein, ash and water content) and bioelectrical-impedance-analysis (BIA) (resistance, reactance, phase angle and composition indexes) variables in the hybrid tambatinga (Colossoma macropomum × Piaractus brachypomus). In a non-fertilized vivarium, 520 juveniles were housed and fed commercial rations. Then, 136 days after hatching (DAH), 15 fish with an average weight of 37.69 g and average total length of 12.96 cm were randomly chosen, anesthetized (eugenol) and subjected to the first of fourteen fortnightly assessments (BIA and biometry). After euthanasia, the following parts were weighed: whole carcass with the head, fillet, and skin (WC); fillet with skin (FS); and the remainder of the carcass with the head (CH). Together, FS and CH were ground and homogenized for the bromatological analyses. Estimates of the body composition and yields of tambatinga, with models including ichthyometric and BIA variables, showed correlation coefficients ranging from 0.81 (for the FS yield) to 1,00 (for the total ash). Similarly, models that included only BIA variables had correlation coefficients ranging from 0.81 (FS and CH yields) to 0.98 (for the total ash). Therefore, in tambatinga, the BIA technique allows the estimation of the yield of the fillet with skin and the body composition (water content, fat, ash, and protein). The best models combine ichthyometric and BIA variables.

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