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

Obesity Facts ◽  
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

<b><i>Introduction:</i></b> 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. <b><i>Methods:</i></b> 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. <b><i>Results:</i></b> 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. <b><i>Discussion/Conclusion:</i></b> Preoperative IGF-1 measurement helps predict not only successful weight loss but also decreases body fat mass and maintains skeletal muscle mass after LSG.

P1569ADIPONECTIN IS ASSOCIATED WITH DECLINE IS SKELETAL MUSCLE MASS AND BONE MINERAL CONTENT IN PATIENTS ON HEMODIALYSIS

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Hiroshi Ogawa ◽  
Toshimitsu Koga ◽  
Daisuke Fuwa ◽  
Hirofumi Tamaki ◽  
Takayuki Nanbu ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Bone Mineral Content ◽  
Muscle Mass ◽  
Body Fat ◽  
Bone Mineral ◽  
Fat Mass ◽  
Skeletal Muscle Mass ◽  
Mineral Content ◽  
Body Fat Mass ◽  
Total Plasma

Abstract Background and Aims Patients on hemodialysis are prone to undernutrition, malnutrition-inflammation-atherosclerosis (MIA) syndrome, and protein-energy wasting (PEW). One of the major adipocytokines adiponectin (ADPN) is involved in anti-arteriosclerotic and anti-inflammatory processes. However, ADPN is implicated in muscle weakness and loss of muscle mass in the elderly in addition to sarcopenia. At the 2019 ERA-EDTA Congress, we announced that total plasma ADPN levels in patients on hemodialysis (HD) showed a significant inverse correlation with BMI, body fat in percentage, mass and estimated skeletal muscle mass, and ADPN may be involved in sarcopenia in patients on HD. Herein, we investigated the association of ADPN level with sarcopenia in patients on HD using a method different from the one used in our previous study. We examined the relationship between total plasma ADPN level and the rate of change in estimated skeletal muscle mass, bone mineral content, and body fat mass over 5 years after the plasma ADPN measurement. Furthermore, we analyzed whether an elevated ADPN level was predictive of a subsequent decline in these parameters. Method Total plasma ADPN levels were measured using ELISA (Bio Vendor-Laboratorni Medicina a.s., Czech Republic) in 42 male patients on HD (age: 51.1 ± 9.0 years, dialysis vintage: 144.8 ± 99.2 months, BMI: 21.8 ± 3.2, dry BW: 62.0 ± 10.9 kg, dialysis time: 15.6 ± 3.1 hours/week). The estimates of skeletal muscle mass, bone mineral content, and body fat mass were made using multi-frequency bioelectrical impedance analysis (MFBIA) within the same year when total plasma ADPN level were first measured in 2011 as well as in 2016. We then calculated the rates of change in the estimated skeletal muscle mass, bone mineral content, and body fat mass over the 5 years and correlated these parameters with the total plasma ADPN measurements. Results Conclusion Total plasma ADPN levels inversely correlate with larger rates of decrease in estimated skeletal muscle mass and bone mineral content in patients on HD. This suggests that ADPN may play a role in the decline in skeletal muscle mass and bone mineral content over time in patients on HD.

scholarly journals Effects of PM2.5 on Skeletal Muscle Mass and Body Fat Mass of the Elderly in Taipei, Taiwan

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Chi-Hsien Chen ◽  
Li-Ying Huang ◽  
Kang-Yun Lee ◽  
Chih-Da Wu ◽  
Hung-Che Chiang ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Muscle Mass ◽  
Body Fat ◽  
Fat Mass ◽  
Skeletal Muscle Mass ◽  
The Elderly ◽  
Body Fat Mass

scholarly journals Effects of Adolescents’ Lifestyle Habits and Body Composition on Bone Mineral Density

2021 ◽  
Vol 18 (11) ◽  
pp. 6170
Author(s):  
ChangSook Han ◽  
HyoKyung Kim ◽  
Suhee Kim
Keyword(s):  
Bone Mineral Density ◽  
Skeletal Muscle ◽  
Bone Mass ◽  
Muscle Mass ◽  
Body Fat ◽  
Fat Mass ◽  
Skeletal Muscle Mass ◽  
Body Fat Mass ◽  
Mineral Density ◽  
Calcium Supplements

The incidence of osteoporosis is increasing as the population ages, as is the need to manage and prevent it. Adolescence is the period when the fastest development of bone mass takes place. Increasing adolescents’ maximum bone mass and avoiding the risk factors for its loss are effective for preventing osteoporosis. This study investigated the factors influencing adolescents’ bone mineral density (BMD). The participants were 126 middle- and high-school students from Gangwon-do; 47.6% (n = 60) were male, with an average age of 15 (range 12–18) years of age. It was found that age, carbonated beverages, snacks, and calcium supplements were variables that showed significant differences in adolescents’ BMD. Additionally, through correlation analysis, it was found that height, weight, body mass index (BMI), body water, protein, minerals, body fat mass, and skeletal muscle mass were correlated with BMD. Multiple regression analysis identified age, calcium supplements, BMI, body fat mass, and skeletal muscle mass as BMD-associated factors. These results show that adolescents’ BMD is higher with lower body fat mass, higher BMI and skeletal muscle mass, and a higher intake of calcium supplements.

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

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
P Argüello ◽  
A Gálvez ◽  
L Castro ◽  
I Sánchez ◽  
P Melo
Keyword(s):  
Skeletal Muscle ◽  
Body Composition ◽  
Muscle Mass ◽  
Phase Angle ◽  
Fat Mass ◽  
Skeletal Muscle Mass ◽  
The Body ◽  
Soccer Players ◽  
The Right ◽  
The Relationship

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 &lt; 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.

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

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.

scholarly journals EFFECTS OF A 6-WEEK CONTROLED EXERCISE PROGRAM AND SEMI-CONTROLED DIET ON BODY FAT AND SKELETAL MUSCLE MASS IN ADULTS

2019 ◽  
Vol 19 (1) ◽  
pp. 7-14 ◽  
Author(s):  
F Kukić ◽  
N Todorović ◽  
N Cvijanović
Keyword(s):  
Skeletal Muscle ◽  
Muscle Mass ◽  
Body Mass ◽  
Body Fat ◽  
Fat Mass ◽  
Skeletal Muscle Mass ◽  
Body Height ◽  
Exercise Program ◽  
Body Fat Mass ◽  
Dietary Regimen

Aim. To investigate the effects of a 6-week of controlled exercise program followed by a semi-controlled dietary regimen on indicators of body fat mass (BF) and skeletal muscle mass (SMM) of adults. Materials and methods. The sample consisted of 28 particpants with the main characteristics of the sample being: age = 29.70 ± 8.35 years, body height (BH) = 177.35 ± 9.36 cm, and body mass (BM) = 105.20 ± 27.06 kg. Body composition parameters, BM, body fat mass (BF), trunk fat (TF), skeletal muscle mass (SMM), percent of body fat (PBF), percent of skeletal muscle mass (PSMM), body mass index (BMI), and index of hypokinesia (IH) were collected before and after six weeks of exercise program and semi-controlled diet regimen. A Paired sample T-test and effect size (ES) were used to determine the effects and their magnitude of the treatment applied. Results. A 6-week treatment significantly affected investigated variables, wherein BF (–6.75 kg, p < 0.001), TF (–3.28 kg, p < 0.001), and SMM (–0.91 kg, p = 0.003) tissue decreased in a different degree, leading to a small but highly significant increase in PSMM (2.60 %, p < 0.001). A decrease in BF and SMM resulted in a significant reduction in BMI, while IH decreased in a smaller degree than BMI because PBF and PSMM changed inversely. Conclusion. Six weeks of a controlled exercise program 3 times/week and semi-controlled diet is an effective approach to the reduction of BM, BF, and TF and to increasing the movement potential by changing the proportions of PBF and PSMM.

scholarly journals Evaluation of Sarcopenic Obesity in Outpatient Public Health Facilities in Brazil

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.

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

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.

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

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.

scholarly journals High skeletal muscle mass is associated with increased serum 25(OH)D levels in elderly

2017 ◽  
Vol 36 (3) ◽  
pp. 236
Author(s):  
Verawati Sudarma ◽  
Lukman Halim
Keyword(s):  
Skeletal Muscle ◽  
Body Mass Index ◽  
Vitamin D ◽  
Body Composition ◽  
Waist Circumference ◽  
Linear Regression ◽  
Muscle Mass ◽  
Body Fat ◽  
Skeletal Muscle Mass ◽  
Anthropometric Measurements

Background<br />Low vitamin D has been associated with various health problems. Aging influences body composition, especially body fat and fat-free mass. Anthropometric measurements, such as body weight (BW), body mass index (BMI), body fat (BF), skeletal muscle mass (SMM), waist circumference (WC) and the waist-height ratio (WHtR) represent body composition which many studies proposed will influence serum vitamin D [25(OH)D]. The objective of the present study was to determine which anthropometric measurements were determinants of 25(OH)D levels in elderly.<br /><br />Methods<br />A cross-sectional study was conducted involving 126 elderly (&gt;60 years old) men and women at Pusat Santunan Dalam Keluarga (PUSAKA) Central Jakarta centers. Anthropometric measurements [body mass index (BMI), skeletal muscle mass (SMM), body fat (BF), and waist circumference (WC)] were determined by bioelectrical impedance analysis using the Omron body composition monitor with scales (HBF-375, Omron, Japan). Fasting blood samples were taken to measure 25(OH)D level by electrochemiluminescence immunoassay. Multivariate linear regression was used to analyze the data.<br /><br />Results <br />The data showed that BMI, BF, and WC were higher than recommended, while SMM and serum 25(OH)D were lower. When the analysis was done based on sex, there were significant differences in BF, SMM, WHtR, and serum 25(OH)D. In the linear regression multivariate analysis of log 25(OH)D with age and body anthropometric measurements, only SMM reached significance level (β=0.019; p=0.025).<br /><br />Conclusions<br />This study demonstrated a positive association between skeletal muscle mass and serum levels of vitamin D in elderly.

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