Evaluation of Sarcopenic Obesity in Outpatient Public Health Facilities in Brazil

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

Nephrology Dialysis Transplantation ◽

10.1093/ndt/gfaa142.p1569 ◽

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.

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

Scientific Reports ◽

10.1038/s41598-019-47576-9 ◽

2019 ◽

Vol 9 (1) ◽

Cited By ~ 3

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

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

Zinc supplementation improves heme biosynthesis in rats exposed to lead ◽

10.18051/univmed.2017.v36.236-242 ◽

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 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. Methods A cross-sectional study was conducted involving 126 elderly (>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. Results 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). Conclusions This study demonstrated a positive association between skeletal muscle mass and serum levels of vitamin D in elderly.

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Association of Sarcopenic Obesity and Body Composition With Metabolically Unhealthy Overweight/Obese Phenotypes Among Iranian Women: A Cross-Sectional Study

10.21203/rs.3.rs-154683/v1 ◽

2021 ◽

Author(s):

Aliyu Tijani Jibril ◽

Atieh Mirzababaei ◽

Farideh Shiraseb ◽

Niloufar Rasaei ◽

Khadijeh Mirzaei

Keyword(s):

Skeletal Muscle ◽

Body Composition ◽

Muscle Mass ◽

Skeletal Muscle Mass ◽

Cross Sectional Study ◽

Fat Free Mass ◽

Sarcopenic Obesity ◽

Iranian Women ◽

High Fat ◽

Cross Sectional

Abstract Objectives Obesity is a major risk factor for metabolic syndrome, with its prevalence has increased over the past decade. Major changes in body composition with aging have a significant effect on many clinical outcomes. Sarcopenic obesity consists of both the presence of abnormal adipose tissue with a deficit of muscle mass. Results Of the 241 subjects in this study (average age 35.32 years), 176 (73.03%) were classified as MUO phenotype. Based on this study, the prevalence of sarcopenic obesity was 7.88%. We found that high fat-free mass was more strongly and significantly associated with MUO phenotype. Furthermore, we found that individuals with high fat-free mass and high skeletal muscle mass had a significantly low prevalence of MUO phenotype. A significant positive correlation between metabolic phenotypes and sarcopenic obesity was also observed after all potential covariates were adjusted for. These results of this study suggest that increased adiposity and decreased skeletal muscle mass are associated with unfavorable metabolic traits among overweight and obese Iranian women. SO was also found to be associated with a greater risk of developing MUO phenotype.

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Body Composition and Exercise Performance in Youth With a Fontan Circulation: A Bio‐Impedance Based Study

Journal of the American Heart Association ◽

10.1161/jaha.120.018345 ◽

2020 ◽

Vol 9 (24) ◽

Cited By ~ 1

Author(s):

Adam W. Powell ◽

Samuel G. Wittekind ◽

Tarek Alsaied ◽

Adam M. Lubert ◽

Clifford Chin ◽

...

Keyword(s):

Skeletal Muscle ◽

Body Composition ◽

Muscle Mass ◽

Body Fat ◽

Bioelectrical Impedance Analysis ◽

Skeletal Muscle Mass ◽

Bioelectrical Impedance ◽

Impedance Analysis ◽

Fontan Circulation ◽

Z Score

Background Adults with a Fontan circulation tend to have myopenia and elevated adiposity when measured by dual energy x‐ray absorptiometry. Bioelectrical impedance analysis is an alternative validated approach to assess body composition. We used bioelectrical impedance analysis to compare body composition between pediatric patients with a Fontan circulation and control individuals without heart disease. Methods and Results A retrospective chart review identified all patients aged <22 years with a Fontan circulation who presented for cardiopulmonary exercise testing and bioelectrical impedance analysis from April 2019 to January 2020. Data were compared with control subjects tested during the same period. We studied 47 patients with a Fontan circulation (53% boys; 15±3.1 years) and 165 controls (48% boys; 14.4±2.5 years). Fontan status was associated with shorter height, but similar age, sex, and overall body mass. Patients with Fontan had lower lean body mass (−12.0±22%, Z‐score −0.5±1, P =0.005), skeletal muscle mass (−13.6±1.4%; Z‐score, −0.5±1; P =0.004), skeletal muscle indexed to height (−10.3±13.3%; Z‐score, −0.5±1; P =0.005), and higher percent body fat (+13.8±18.6%; Z‐score, 0.4±1.2; P =0.03). Greater skeletal muscle mass was associated with higher peak oxygen consumption ( r 2 =0.52, P <0.0001) and oxygen pulse ( r 2 =0.68, P <0.0001). Patients who had suffered a late complication (ie, heart transplant referral or evidence of extracardiac organ dysfunction) of the Fontan operation (13 of 47, 27.7%) had lower skeletal muscle mass ( P =0.048) and higher body fat percentage ( P =0.003). Conclusions The Fontan circulation is associated with marked myopenia and increased adiposity. Higher muscle mass was associated with better exercise capacity. Fontan complications are associated with lower muscle mass and increased adiposity.

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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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