The phase angle as a marker of health and body composition in soccer players in Bogotá – Colombia

Abstract Background Body composition is a parameter that is evaluated to predict the nutritional status of the population. This is assessed by bioelectric impedance analysis, which reports BMI, fat percentage, skeletal muscle mass, phase angle (AP), among others. The latter, in recent years has become important because it is a direct electrical measurement in the body, used for the clinical prognosis of diseases such as cancer, anorexy nervous, sarcopenia and chronic liver disease. AP is an index of vitality and integrality of the cell membrane and an indicator of muscle strength and endurance; likewise, it is inversely related to BMI, age and gender, normal values in healthy populations range between 5.5° to 9°, it is believed that physical activity and sport can also modify AP values. Therefore, the purpose of the study was to determine the relationship between body composition and AP in soccer players in Bogotá, Colombia. Methods Quantitative, cross-sectional, correlational approach. The sample was 84 soccer players (age: 18.67 + 2.9 years; height: 1.73 + 0.07 m; weight: 66.58 + 9.94 Kg), who were assessed using the Bioimpedance method through InBody 770®. Results The averages obtained were: AP 6.46°+0.58; muscle mass 32.25 + 5.06 Kg, percentage of fat mass 15.90 + 3.97. There was a direct relationship between AP, skeletal muscle mass and lean mass in the right, left arm, trunk and right leg (p < 0.01), while with the percentage of body fat mass of the right and left arm the relationship was inverse. Conclusions Body composition with high values of musculoskeletal mass and AP favor the functionality and development of strength, which in turn are protective factors for the presence of diseases such as sarcopenia. Key messages The Phase Angle is constituted as an easily accessible marker of nutritional health and morphofunctional profile in athletes. The Phase Angle and body composition as determinants of the profile in athletes.

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Body Composition in International Sprint Swimmers: Are There Any Relations with Performance?

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17249464 ◽

2020 ◽

Vol 17 (24) ◽

pp. 9464

Author(s):

Milivoj Dopsaj ◽

Ilona Judita Zuoziene ◽

Radoje Milić ◽

Evgeni Cherepov ◽

Vadim Erlikh ◽

...

Keyword(s):

Skeletal Muscle ◽

Body Composition ◽

Muscle Mass ◽

Body Fat ◽

Fat Mass ◽

Skeletal Muscle Mass ◽

Female Athletes ◽

Sprint Performance ◽

The Body ◽

Body Protein

The paper addresses relations between the characteristics of body composition in international sprint swimmers and sprint performance. The research included 82 swimmers of international level (N = 46 male and N = 36 female athletes) from 8 countries. We measured body composition using multifrequency bioelectrical impedance methods with “InBody 720” device. In the case of male swimmers, it was established that the most important statistically significant correlation with sprint performance is seen in variables, which define the quantitative relationship between their fat and muscle with the contractile potential of the body (Protein-Fat Index, r = 0.392, p = 0.007; Index of Body Composition, r = 0.392, p = 0.007; Percent of Skeletal Muscle Mass, r = 0.392, p = 0.016). In the case of female athletes, statistically significant relations with sprint performance were established for variables that define the absolute and relative amount of a contractile component in the body, but also with the variables that define the structure of body fat characteristics (Percent of Skeletal Muscle Mass, r = 0.732, p = 0.000; Free Fat Mass, r = 0.702, p = 0.000; Fat Mass Index, r = −0.642, p = 0.000; Percent of Body Fat, r = −0.621, p = 0.000). Using Multiple Regression Analysis, we managed to predict swimming performance of sprint swimmers with the help of body composition variables, where the models defined explained 35.1 and 75.1% of the mutual variability of performance, for male and female swimmers, respectively. This data clearly demonstrate the importance of body composition control in sprint swimmers as a valuable method for monitoring the efficiency of body adaptation to training process in order to optimize competitive performance.

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The Relationship between Serum Insulin-Like Growth Factor-1 Levels and Body Composition Changes after Sleeve Gastrectomy

Obesity Facts ◽

10.1159/000519610 ◽

2021 ◽

pp. 1-9

Author(s):

Masahiro Ohira ◽

Yasuhiro Watanabe ◽

Takashi Yamaguchi ◽

Hiroki Onda ◽

Shuhei Yamaoka ◽

...

Keyword(s):

Skeletal Muscle ◽

Body Composition ◽

Muscle Mass ◽

Body Fat ◽

Fat Mass ◽

Skeletal Muscle Mass ◽

Body Fat Mass ◽

Preoperative Serum ◽

The Relationship ◽

Composition Changes

Introduction: We previously reported that preoperative serum insulin-like growth factor-1 (IGF-1) is a predictor of total weight loss percentage (%TWL) after laparoscopic sleeve gastrectomy (LSG). IGF-1 may suppress muscle loss after surgery. IGF-1 almost accurately reflects the growth hormone (GH) secretion status, and GH has lipolytic effects. Therefore, IGF-1 may influence both the maintenance of skeletal muscle and the reduction of adipose tissue after LSG. The identification of the relationship between preoperative serum IGF-1 and body composition changes after LSG can help in understanding the pathophysiology of obesity. Methods: We retrospectively reviewed 72 patients with obesity who underwent LSG and were followed up for 12 months. We analyzed the relationship between preoperative serum IGF-1 levels and body composition changes after LSG. A multiple regression model was used. Results: LSG led to a significant reduction in body weight. Both body fat mass and skeletal muscle mass decreased after LSG. Preoperative serum IGF-1 levels significantly correlated with %TWL, changes in skeletal muscle mass, and body fat mass after LSG. The multiple regression model showed that preoperative serum IGF-1 levels were related to decreased body fat mass and maintaining skeletal muscle mass after LSG. Discussion/Conclusion: Preoperative IGF-1 measurement helps predict not only successful weight loss but also decreases body fat mass and maintains skeletal muscle mass after LSG.

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The Effect of a Mixed Circuit of Aerobic and Resistance Training on Body Composition in Older Adults—Retrospective Study

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18115608 ◽

2021 ◽

Vol 18 (11) ◽

pp. 5608

Author(s):

Anna Pieczyńska ◽

Ewa Zasadzka ◽

Tomasz Trzmiel ◽

Małgorzata Pyda ◽

Mariola Pawlaczyk

Keyword(s):

Skeletal Muscle ◽

Body Composition ◽

Older People ◽

Muscle Mass ◽

Fat Mass ◽

Skeletal Muscle Mass ◽

Aerobic Training ◽

The Body ◽

Group 2 ◽

Group 1

Ageing is inevitably associated with body composition changes, such as loss of muscle mass, increase in the total fat mass, and unfavorable reduction of subcutaneous fat. Physical activity exerts significant effects on the body composition. The aim of the study was to investigate the effects of two different weekly doses of resistance-aerobic training on the body composition in older people. The study consisted in a retrospective data analysis of fitness club members aged ≥60. The trainees participated in resistance-aerobic training sessions two or three times/week for a minimum of two months. A body composition analysis was performed before and after the training sessions. Group 1 (36 subjects) and Group 2 (28 subjects) had two and three training sessions/week, respectively. A higher skeletal muscle mass was found in Group 1 and lower waist-hip-ratio indices were observed in Group 2. No statistically significant differences were found in the body mass, skeletal muscle mass, fat mass, total body water, lean mass, body mass index, visceral fat area between both groups. The number of training session/week proved to be statistically insignificant for all investigated variables. Resistance-aerobic training with two sessions/week may be as effective in maintaining proper body composition in older people as the same training at the dose of three sessions/week.

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Appendicular skeletal muscle mass to truncal fat mass ratio as a new index for osteosarcopenic obesity syndrome in older adults: emphasizing the role of central obesity

10.21203/rs.2.22583/v1 ◽

2020 ◽

Author(s):

Lazuardhi Dwipa ◽

Rini Widiastuti ◽

Alif Bagus Rakhimullah ◽

Marcellinus Maharsidi ◽

Yuni Susanti Pratiwi ◽

...

Keyword(s):

Older Adults ◽

Skeletal Muscle ◽

Body Composition ◽

Muscle Mass ◽

Fat Mass ◽

Central Obesity ◽

Skeletal Muscle Mass ◽

Positive Correlation ◽

Appendicular Skeletal Muscle ◽

Appendicular Skeletal Muscle Mass

Abstract Background The relationship between obesity and low bone mineral density (BMD) in older adults is still unclear. Most of the previous study did not account the factor of sarcopenia which is the progressive loss of skeletal muscle mass due to aging, and distribution of fat in obesity. Thus, this study was aimed to explore the correlation between appendicular skeletal muscle mass (ASMM), total fat mass (FM), and truncal fat mass (TrFM) as well as indexes (ASMM/FM and ASMM/TrFM ratio) with BMD in older adults.Methods This was an analytic cross-sectional study. Dual x-ray absorptiometry (DXA) and bioelectric impedance analysis (BIA) were used to assess BMD and body composition, respectively. Appendicular Skeletal Muscle Mass (ASMM) were used in the analysis to reflect sarcopenia, Fat Mass (FM) and Trunkal Fat Mass (TrFM) were used to reflect general and central obesity, respectively. All data were obtained from medical records of Geriatric Clinic of Hasan Sadikin General Hospital Bandung Indonesia from January 2014 to December 2018. The correlation between body compositions variable with BMD were analyzed using Spearman’s test. We also conducted a comparison analysis of body composition variables between low and normal BMD using Mann-Whitney test. Results A total of 112 subjects were enrolled in the study. ASMM and TrFM were positive (rs=0.517, p<0.001) and negative (rS=-0.22, p=0.02) correlated with BMD, respectively. FM were not correlated with BMD, rS=-0.113 (p=0.234). As indexes, ASMM/FM and ASMM/TrFM had positive correlation with BMD, rS=0.277 (p<0.001), and rS=0.391 (p<0.001), respectively. The ASMM, TrFM, and ASMM/TrFM ratio between normal and low BMD also significantly different (p<0.001), meanwhile FM were not (p=0.204).Conclusion ASMM and TrFM have a positive and negative correlation with BMD, respectively. ASMM/TrFM ratio as new sarcopenia-central obesity index has a positive correlation with BMD.

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A Machine Learning Approach to Predict Body Composition in Advanced Cancer Patients.

10.21203/rs.3.rs-200977/v1 ◽

2021 ◽

Author(s):

Pablo Cresta Morgado ◽

Alfredo Navigante ◽

Adriana Pérez

Keyword(s):

Machine Learning ◽

Skeletal Muscle ◽

Body Composition ◽

Variable Selection ◽

Cancer Patients ◽

Muscle Mass ◽

Fat Mass ◽

Skeletal Muscle Mass ◽

Daily Practice ◽

Smoothing Splines

Abstract BACKGROUND:Body composition and its changes affect cancer patient outcomes. Its determination requires specific and expensive devices. We designed a study to evaluate machine learning approaches to predict fat and skeletal muscle mass using daily practice clinical variables.METHODS:We designed a cross-sectional study in advanced gastrointestinal cancer patients. Response variables were skeletal muscle mass and body fat mass, measured by bioimpedance analysis. Predictors were laboratory and anthropometric variables. Imputation methods were applied. Six approaches were analyzed: (1) multicollinearity analysis, best subset selection (BSS) and multiple linear regression; (2) multicollinearity, BSS and generalized additive models (GAM); (3) multicollinearity, lasso to perform variable selection and GAM; (4) ridge regression; (5) lasso regression; (6) random forest. Model selection was performed evaluating the Mean Squared Error calculated by leave-one-out cross-validation.RESULTS:We included 101 patients under chemotherapy treatment. For skeletal muscle mass, the best approach was the combination of multicollinearity analysis followed by BSS and GAM using smoothing splines with 6 variables (albumin, Hb, height, weight, sex, lymphocytes). The adjusted R2 was 0.895. The best approach for fat mass was multicollinearity analysis, variable selection by lasso, and GAM using smoothing splines with 3 variables (waist-hip ratio, weight, sex). The adjusted R2 was 0.917.CONCLUSION:We developed the first accurate predictive models for body composition in cancer patients applying daily practice clinical variables. This study shows that machine learning is a useful tool to apply in body composition. This is a starting point to evaluate these approaches in research and clinical practice.

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The relationship between changes in serum myostatin and adiponectin levels in patients with obesity undergoing a weight loss program

BMC Endocrine Disorders ◽

10.1186/s12902-021-00808-4 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Nana Takao ◽

Satoshi Kurose ◽

Takumi Miyauchi ◽

Katsuko Onishi ◽

Atsuko Tamanoi ◽

...

Keyword(s):

Skeletal Muscle ◽

Weight Loss ◽

Body Composition ◽

Muscle Strength ◽

Muscle Mass ◽

Fat Mass ◽

Weight Reduction ◽

Skeletal Muscle Mass ◽

Weight Loss Program ◽

Post Intervention

Abstract Background An effective strategy for weight loss in patients who are overweight or obese is to reduce body fat mass while maintaining skeletal muscle mass. Adiponectin and myostatin are affected through changes in body composition due to weight loss, and examining their dynamics may contribute to strategies for maintaining skeletal muscle mass through weight loss. We aimed to examine the relationships among myostatin, adiponectin, and body composition, depending on the extent of weight loss, in patients with obesity undergoing a weight loss program. Methods We examined 66 patients with obesity (age: 46.8 ± 14.0 years, body mass index: 34.3 [31.0–38.4] kg/m2) attending a hospital weight loss program. We categorized the patients into two groups, namely an L group (those with a weight reduction of < 5% from baseline) and an M group (those with a weight reduction of > 5% from baseline). All patients underwent blood tests and were assessed for body composition, insulin resistance, adipocytokine and myokine levels, exercise tolerance, and muscle strength at baseline and post-intervention. Results Serum myostatin and adiponectin levels increased post-intervention in both groups. Body weight and %fat decreased, and the rate of lean body mass (%LBM) increased in both groups. Exercise capacity and muscle strength improved in the M group only. Change in (⊿) myostatin correlated with ⊿%fat, ⊿%LBM, and ⊿adiponectin. ⊿adiponectin (β = − 0.262, p = 0.035) was an independent predictor of ⊿myostatin. Conclusions Myostatin and adiponectin might cross-talk and regulate changes in skeletal muscle and fat mass with or without successful weight loss. These findings indicate that evaluating serum myostatin and adiponectin levels in clinical practice could be used to predict the effects of weight loss and help prevent skeletal muscle mass loss.

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The Relationship between Physical Activity, Body Mass Index and Body Composition among Students at a Pre-University Centre in Malaysia

IIUM Medical Journal Malaysia ◽

10.31436/imjm.v19i2.1567 ◽

2020 ◽

Vol 19 (2) ◽

Author(s):

You HW ◽

Tan PL ◽

Mat Ludin AF

Keyword(s):

Physical Activity ◽

Body Mass Index ◽

Body Composition ◽

University Students ◽

Muscle Mass ◽

Body Mass ◽

Fat Mass ◽

The Body ◽

Study Results ◽

The Relationship

INTRODUCTION: Physical activity is an essential element in our daily life that leads to long-term health benefits. Physical activity refers to movement of the body that requires energy. Body mass index (BMI) indicates a ratio of body weight to squared height, which is a useful health indicator. On the contrary, body composition describes the body by measuring percentages of fat and muscle in human bodies. MATERIALS AND METHODS: This cross-sectional study aimed to determine the relationship between physical activities, BMI and body composition among pre-university students from one of the universities in Selangor, Malaysia. Stratified random sampling was employed to recruit 70 pre-university students into this study. RESULTS: From the study, 50% of the respondents are categorized as minimally active. In addition, there is significant difference between the physical activity levels of male and female respondents. The relationship between physical activity and BMI indicates a very weak negative correlation. Similarly, the correlation between physical activity and fat mass is a weak negative relationship. Meanwhile, there is a weak positive correlation between physical activity and muscle mass. CONCLUSION: Therefore, it can be concluded that when physical activity increases, BMI and body fat mass will decrease, while muscle mass will increase. Moreover, it was shown that there was a significant relationship between physical activity and body composition.

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The association between excess weight and body composition measurements in a pediatric population – a cross sectional study.

10.21203/rs.3.rs-212705/v1 ◽

2021 ◽

Author(s):

Eirini Kostopoulou ◽

Aikaterini Avgeri ◽

Spyros Skiadopoulos ◽

Gabriel Dimitriou ◽

Ioannis Giannakopoulos

Keyword(s):

Skeletal Muscle ◽

Body Composition ◽

Muscle Mass ◽

Fat Mass ◽

Skeletal Muscle Mass ◽

Screening Tool ◽

Pediatric Population ◽

Overweight And Obesity ◽

Excess Weight ◽

Composition Measurements

Abstract Aims of the study: The prevalence of childhood obesity in Greece is among the highest in Europe. Body composition may be used as a screening tool to identify children with excess weight and those at risk for developing metabolic complications. The aim of the study was to provide data on body composition indices from a large Greek pediatric population and investigate the possible association between these indices and obesity.Methods: 1453 schoolchildren, 51.2% males, aged 10-12 years old, were recruited from the third in size city in Greece. Anthropometric and body composition indices, including weight, height, body mass index (BMI), fat mass (FM), FM%, fat mass index (FMI), skeletal muscle mass (SMM), SMM%, skeletal muscle mass index (SMI) and muscle-to-fat ratio (MFR), were assessed.Results: i) The rates of overweight and obesity were 25.9% (Males: 24.4%, females: 27.5%) and 12.6% (males: 13.4%, females: 11.7%), respectively. ii) Males had significantly higher SMM, SMM% and MFR, and lower FM% compared to females. iii) No differences were observed in body composition between younger (10-11-year-old) and older (11-12-year-old) children. iv) Higher FM, FM%, FMI, SMM, SMI and lower SMM% and MFR values were found in children with overweight or obesity.Conclusions: A direct association between excess weight and body composition measurements, such as FM, FM%, FMI, SMM, SMM%, SMI and MFR, was found in a large pediatric school-population. These body composition analysis measurements may potentially serve as a useful screening-tool with both research and clinical applications in assessing obesity, but also for predicting obesity-related complications.

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The association between excess weight and body composition measurements in a pediatric population

10.21203/rs.3.rs-334558/v1 ◽

2021 ◽

Author(s):

Eirini Kostopoulou ◽

Aikaterini Avgeri ◽

Spyridon Skiadopoulos ◽

Gabriel Dimitriou ◽

Ioannis Giannakopoulos

Keyword(s):

Skeletal Muscle ◽

Body Composition ◽

Muscle Mass ◽

Fat Mass ◽

Skeletal Muscle Mass ◽

Screening Tool ◽

Pediatric Population ◽

Overweight And Obesity ◽

Excess Weight ◽

Composition Measurements

Abstract Background: The prevalence of childhood obesity in Greece is among the highest in Europe. Body composition may be used as a screening tool to identify children with excess weight and those at risk for developing metabolic complications. The aim of the study was to provide data on body composition indices from a large Greek pediatric population and investigate the possible association between these indices and obesity.Methods: 1453 schoolchildren, 51.2% males, aged 10-12 years old, were recruited from the third in size city in Greece. Anthropometric and body composition indices (weight, height, body mass index (BMI), fat mass (FM), FM%, fat mass index (FMI), skeletal muscle mass (SMM), SMM%, skeletal muscle mass index (SMI) and muscle-to-fat ratio (MFR)), were assessed.Results: i) The rates of overweight and obesity were 25.9% (Males: 24.4%, females: 27.5%) and 12.6% (males: 13.4%, females: 11.7%), respectively. ii) Males had significantly higher SMM, SMM% and MFR, and lower FM% compared to females. iii) No differences were observed in body composition between younger (10-11-year-old) and older (11-12-year-old) children. iv) Higher FM, FM%, FMI, SMM, SMI and lower SMM% and MFR values were found in children with overweight or obesity.Conclusion: A direct association between excess weight and body composition measurements, such as FM, FM%, FMI, SMM, SMM%, SMI and MFR, was found in a large pediatric school-population. These body composition analysis measurements may potentially serve as a useful screening-tool with both research and clinical applications in assessing obesity, but also for predicting obesity-related complications.

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Evaluation of Sarcopenic Obesity in Outpatient Public Health Facilities in Brazil

Comunicação em Ciências da Saúde ◽

10.51723/ccs.v31i01.557 ◽

2020 ◽

Vol 31 (01) ◽

pp. 39-54

Author(s):

Fernanda Bezerra Queiroz Farias ◽

Cássia Regina de Aguiar Nery Luz ◽

Adriana Haack de Arruda Dutra

Keyword(s):

Public Health ◽

Skeletal Muscle ◽

Body Composition ◽

Literature Review ◽

Muscle Mass ◽

Body Fat ◽

Fat Mass ◽

Strong Correlation ◽

Skeletal Muscle Mass ◽

Sarcopenic Obesity

Obese individuals may have increased fat mass and reduced skeletal muscle mass, It’s sarcopenic obesity. Aimed to investigate the possibility of identifying the obese sarcopenic in ambulatories. This was an integrative literature review using articles indexed in Pubmed, Medline/iHA, Lilacs and Scielo databases. Were found 109 articles in healthy adults since 2014 but 20 have been selected. Most obese care is done where there aren’t densitometry to define body composition. A study compared body fat and water by bioimpedance and densitometry and both showed strong correlation. It’s suggested that it’s possible to properly diagnose sarcopenic obese in outpatient units and propose appropriat strategies.

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