scholarly journals SUN-650 Body Composition Assessment in Clinical Practice: Use in Rheumatoid Arthritis and Hypogonadism

2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Marina Sousa da Silva ◽  
Joao Lindolfo Borges

Abstract BACKGROUND: DXA is an accessible, non-invasive method, also used for body composition assessment, standing out for regional composition analysis. In clinical practice, the analysis of body composition is relevant by differentiating lean (fat-free) mass from fat mass. The higher the fat to lean mass ratio, the greater the obesity-related comorbidities. CLINICAL CASE: Case 1: A 22-year-old male, BMI 21kg/m2, with rheumatoid arthritis (RA) and on chronic glucocorticoid (GC) performed a DXA to evaluated body composition. The first analysis, during GC use, showed 26.1% fat (14.6kg) despite the low BMI. The patient, evolved stable from RA, and was able to stay out of GC for 2 years, with no other interventions. A new DXA showed a decrease in fat percentage to 12.6% (6.2kg), a reduction in total body weight (-7kg) and an increase in lean mass (+1.2kg). Within 16 months of GC reintroduction, the fat percentage increased up to 36.8% (23.8kg), the total weight increased by 15.6kg and the lean mass decreased by 2.1kg. Case 2: A 40-year-old male with hypogonadism showed 37% fat (33.8kg) on ​​first DXA evaluation. Testosterone replacement was started, and a new DXA was performed after 10 weeks, and although the total weight increased by 3.1kg, there was a decrease in fat mass to 33.5% (31.6kg) and an increase of 5.3kg in lean mass. After 3 years, there was a reduction to 27.1% of fat (24.5kg) and, after 4 years of therapy initiation, the percentage of fat was 26.9% (24.5kg). There was no change in diet or exercise. CONCLUSION: The exposed cases highlight the importance of body composition assessment in patients with conditions that interferes with energy metabolism. The patient on chronic GC use, after medication withdrawal, presented a significant decrease in fat mass, more pronounced in the android percentage. The reintroduction of the CG showed an increase in fat percentage, with android predominance. The patient with hypogonadism, in the second evaluation performed with only 10 weeks of treatment with testosterone, evolved with a reduction in fat mass associated with an increase in lean mass, besides a reduction in the android percentage. The reported cases illustrate everyday clinical situations in which disease vs. treatment significantly changes body composition. Assessment of body composition is essential in patients exposed to conditions that interfere with energy metabolism since obesity is associated with chronic comorbidities and cardiovascular outcomes.

2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Maria Nikolova ◽  
Alexander Penkov

AbstractIntroduction:Obesity has been linked with vitamin D deficiency in a number of cross-sectional studies, reviews and meta-analyses. To assess the correlations of plasma 25(OH) vitamin D levels with indices of body composition examined by DXA with an emphasis on lean and bone mass as well as on indices such as android/gynoid fat, appendicular lean mass (ALM) and appendicular lean mass index (ALMI), fat-mass indexes (FMI), fat-free mass indexes (FFMI) and the ALM-to-BMI index.Materials and Methods:62 adult subjects consented to participate – 27 men (43.5 %) and 35 women (56.5 %). Their mean age was 45.3 ± 9.5 years. Fan-beam dual-energy X-ray (DXA) body composition analysis was performed on a Lunar Prodigy Pro bone densitometer with software version 12.30. Vitamin D was measured by electro-hemi-luminescent detection as 25(OH)D Total (ECLIA, Elecsys 2010 analyzer, Roche Diagnostics). Statistical analyses were done using the SPSS 23.0 statistical package.Results:The serum 25(OH)D level was correlated significantly only to the whole body bone mineral content, the appendicular lean mass index (ALMI) and the ALM-to-BMI index, underlining a predominant role for lean and fat-free mass. Vitamin D showed a very weak correlation to % Body Fat and the Fat Mass Index (FMI) in men only. Moreover, the multiple regression equation including the associated parameters could explain only 7 % of the variation in the serum 25(OH)D levels.Discussion:Our conclusion was, that there are differences in the associations of the vitamin D levels with the different body composition indices, but these associations are generally very weak and therefore – negligible.


2019 ◽  
Vol 11 (5) ◽  
pp. 453-460 ◽  
Author(s):  
Jennifer Sanfilippo ◽  
Diane Krueger ◽  
Bryan Heiderscheit ◽  
Neil Binkley

Background: Body composition assessment is frequently used in sports medicine and athletic performance environments to assess change in response to strength training and nutrition programs. However, to effectively do so requires knowledge regarding expected body composition values relative to sport and sex. Dual-energy x-ray absorptiometry (DXA) is widely used to evaluate body composition, although its utility in relationship to specific sports, performance, or rehabilitation is not clearly defined. Hypothesis: Body composition metrics and distribution of National Collegiate Athletic Association Division I collegiate athletes will vary based on sport and sex. Level of Evidence: Level 4. Study Design: Cross-sectional study. Methods: A convenience sample of 337 athletes (229 men and 108 women) participating in football, wrestling, soccer, hockey, basketball, golf, softball, or volleyball was evaluated. DXA-measured total body composition, including bone mineral density (BMD), % lean mass, % fat, and regional distribution, were compared by sex, sport, and with an age-matched National Health and Nutrition Examination Survey (NHANES) population. Results: Men had higher BMD, lower % fat (16.4% vs 25.2%) and higher % lean mass (79.2% vs 70.6%) ( P < 0.001). Regional composition varied by sport and sex, with women having a greater proportion of lean mass at the trunk and men in their arms ( P < 0.0001). Leg lean mass was distributed similarly between sexes (35%). Overall, the normative group (NHANES) had lower BMD and higher percentage fat. Conclusion: DXA-measured body composition and lean mass distribution varies by sport and sex in Division I athletes. The observed difference to the NHANES population emphasizes challenges in identifying appropriate comparison populations, reinforcing the need to compare athletes with their own baseline. Clinical Relevance: These findings establish a framework to investigate the relevance of these variances and determine the utility of body composition analysis in elite athletes.


Author(s):  
Lindsey Legg ◽  
Megan Rush ◽  
Jordan Rush ◽  
Stephanie McCoy ◽  
John C Garner ◽  
...  

Background of Study: Associations between measures of body composition and vertical jump height have previously been established using a range of instrumentation and prediction equations. Limited data has presented using gold standard measurements for both variables Objective: This investigation sought to examination the relationship between total body and lower extremity measures of body composition and vertical jump performance using gold standard measurements within an athletic population. Methods: Using a cross-sectional, correlational research design fourteen collegiate female volleyball athletes completed body composition, three countermovement jumps (CMJ) and three squat jumps (SJ) analysis using DXA and force platforms. Results: High to very high positive relationships were seen between total body lean (p < 0.001) and fat mass (p < 0.05), lower extremity lean and fat mass (p < 0.01), and CMJ force and power. High negative relationships were present between total body fat percentage(p < 0.05), total fat mass (p < 0.01) and CMJ jump height. Relationships between all body composition variables and SJ performance tended to be weaker, with the exception of total body lean mass (p < 0.05), lower extremity lean mass, and power output (p < 0.01). Conclusions: These findings support much of the previous literature in that increases of mass have subsequent increases in force and power production; however caution should be taken will increases in mass coming from fat or lean tissue.


2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1627-1627
Author(s):  
Rosemary DeLuccia ◽  
May Cheung ◽  
Asma Altasan ◽  
Sumer Al-Ani ◽  
Rushali Parekh ◽  
...  

Abstract Objectives The objectives of this study were to determine if body composition and nutrient status are dependent on serumosteocalcin concentrations in healthy adults. Methods Adults 20 to 70 years of age completed fasting blood sampling to measure serum ionized calcium concentrations, serum ionized magnesium concentrations, and serum total osteocalcin concentrations. Dual Energy X-Ray Absorptiometry was also completed to measure body composition variables including body mass index (BMI), total fat mass, total fat freemass, total lean mass, android fat, gynoid fat, trunk fat, and visceral adipose tissue. Results A sample of 60 women and 78 men with a median age of 33.0 (21.0) years were categorized into two groups accordingto the median osteocalcin concentration measured: low osteocalcin (12.11 ± 2.72 ng/mL), and high osteocalcin (26.80 ± 9.72 ng/mL). Means, standard deviations, medians and interquartile ranges were calculated and independent t-tests, and Mann Whitney U tests were conducted to determine differences between groups in body composition variables. Total fat mass, total fat percentage, android fat, trunk fat, and trunk fat percentage were all significantly higher, and totalfat free mass, fat free mass percentage, total lean mass, lean mass percentage, serum ionized calcium concentrations, and serum ionized magnesium concentrations were all significantly lower (P &lt; 0.05) in the low osteocalcin groupcompared to the high osteocalcin group. There were no differences (P &gt;0.05) between groups in weight, gynoid fat, visceral adiposity tissue, or visceral adiposity tissue percentage. Conclusions The results of this study provide preliminary evidence that serum osteocalcin concentrations can predict bodycomposition. Interventional studies should consider methods to alter osteocalcin concentrations through vitamin ormineral supplementation as a means to improve body composition in adults. Funding Sources American Heart Association; Drexel University.


Author(s):  
Erica Roelofs ◽  
April Bockin ◽  
Tyler Bosch ◽  
Jonathan Oliver ◽  
Christopher W. Bach ◽  
...  

AbstractThe purpose of this study was to examine body composition of National Collegiate Athletic Association Division I female soccer players by position and season. One hundred seventy-five female athletes were categorized by positions of forward (n=47), midfielder (n=51), defender (n=57), and goalkeeper (n=20). A dual X-ray absorptiometry scan assessed percent body fat, total lean mass, total fat mass, arm and leg lean mass and fat mass, and visceral adipose tissue. Goalkeepers had significantly higher total, arm, and leg lean mass and fat mass compared to all other positions (p<0.05). For seasonal changes, body fat percentage was significantly higher in winter off-season (26.7%) compared to summer off-season (25.7%) and pre-season (25.8%; p<0.01) for all positions. Total and leg lean mass was significantly lower in winter off-season compared to all other seasons, and total lean mass was significantly higher in summer off-season than pre-season (p<0.01). Overall, goalkeepers were significantly different than all other positions. Body fat percentage increased and lean mass decreased in winter off-season indicating potential undesired changes in training and/or nutrition over the break whereas lean mass was the highest in summer off-season potentially reflecting the emphasis on resistance training and increased volume of training.


Nutrients ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 2493
Author(s):  
Clifton J. Holmes ◽  
Susan B. Racette

Body composition is a key component for maintaining good general health and longevity. It can be influenced by a variety of factors, including genetics, environment, and lifestyle choices. The assessment of body composition is an essential tool for nutrition specialists to effectively evaluate nutritional status and monitor progression during dietary interventions. As humans age, there is a natural increase in fat mass coupled with a gradual decline in lean mass, specifically in bone and muscle mass. Individuals with a high body fat percentage are at a greater risk of cardiovascular diseases, type 2 diabetes, several types of cancer, and early mortality. Significant decreases in bone mineral density signify osteopenia and osteoporosis, while reductions in skeletal muscle mass increase the risk of developing sarcopenia. Moreover, undernutrition exacerbates the effects of many medical conditions and is important to address. Though weight tracking and calculation of BMI are used commonly by clinicians and dietitians, these measures do not provide insight on the relative contributions of fat mass and fat-free mass or the changes in these compartments that may reflect disease risk. Therefore, it is important that healthcare professionals have a critical understanding of body composition assessment and the strengths and limitations of the methods available.


2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 673.2-674
Author(s):  
A. Efremova ◽  
O. Nikitinskaya ◽  
N. Toroptsova ◽  
O. Dobrovolskaya ◽  
N. Demin

Background:Sarcopenia can be age associated (primary form) or secondary to chronic disorders, including rheumatic inflammatory disorders. Systemic sclerosis (SSc) is a chronic autoimmune rheumatic disease characterized by widespread vasculopathy, progressive fibrosis of the skin and other internal organs, such as lung, kidneys, gastrointestinal tract, cardiovascular system. Different from the other chronic rheumatic inflammatory disorders, sarcopenia has not been well evaluated in SSc patients.Objectives:To assess the body composition (BC) and to identify the frequency of sarcopenia (SP) in SSc patients.Methods:A total of 44 women who met the ACR/EULAR 2013 classification criteria were included. Mean age was 53,2 + 8,8 years. The median disease duration was 7,0 [4,0;12,0] years. 26 (59,1%) patients had limited and 18 (40,9%) - diffuse cutaneous subtype. Body composition was measured using Dual-energy X-ray absorptiometry (DXA) of whole body. The appendicular lean mass index (ALMI) was calculated as the ratio of appendicular lean mass (ALM) to height (kg/m2). Handgrip measurement and chair stand test were performed. Physical function was measured with the Short Physical Performance Battery (SPPB). SP was diagnosed in agreement with the 2019 revised consensus on definition and diagnosis of SP of the European Working Group on Sarcopenia in Older People 2 (EWGSOP2): handgrip <16kg, chair stand test > 15 seconds for 5 rises, ALM <15 kg or ALMI <5.5 kg/m2. Severe SP was detected if the patient additionally had gait speed ≤0.8 m/s or SPPB ≤ 8-point score. Overfat was defined as body fat percentage >35%.Results:The median bone mineral content was 2.0 [1.8; 2.2] kg, total lean mass - 39,5 [35,7; 45,5] kg, ALM - 16,3 [14,5;19,4] kg, ALMI – 6,5 [5,7; 7,2] kg/m2, trunk fat mass – 13,5 [9,1; 16,7] kg and total fat mass - 26,6 [20,1; 34,5] kg. Body fat percentage was 38,8% [34,2; 42,7].9 (20,5%) women had low ALM and low ALMI, 6 (13,6%) – only low ALM. Healthy BC was found in 5 (11,3%), low ALM or low ALMI – in 7 (15,9%), overfat – in 24 (54,5%), low ALM + overfat – in 8 (18,2%) patients. We found no differences in BC between SSc patients with limited and diffuse cutaneous subtype.Low muscle strength (SP probable) was found in 21 (47,7%) women, meanwhile confirmed SP (low muscle strength and muscle mass) was diagnosed in 10 (22,7%) patients, among them 5 (11,4%) persons had severe SP. No significant difference in SP frequency among patients with limited and diffuse cutaneous SSc 4 (15,4%) and 6 (33,3%), respectively, (p=0,27). Osteoporosis was found in 6 (60%) patients with SP without differences in SSc subtypes.Conclusion:Healthy BC was found only in 11,3% cases, while overfat - in 72,7% and low ALM – in 34,1% SSc patients. SP was detected in 22.7% of women, among them in half of cases - severe SP, without any differences between the limited and diffuse subtypes of the disease.Disclosure of Interests:None declared


2016 ◽  
Vol 11 (2) ◽  
pp. 191-196 ◽  
Author(s):  
Kevin Till ◽  
Ben Jones ◽  
John O’Hara ◽  
Matthew Barlow ◽  
Amy Brightmore ◽  
...  

Purpose:To compare the body size and 3-compartment body composition between academy and senior professional rugby league players using dual-energy X-ray absorptiometry (DXA).Methods:Academy (age 18.1 ± 1.1 y, n = 34) and senior (age 26.2 ± 4.6 y, n = 63) rugby league players received 1 total-body DXA scan. Height, body mass, and body-fat percentage alongside total and regional fat mass, lean mass, and bone mineral content (BMC) were compared. Independent t tests with Cohen d effect sizes and multivariate analysis of covariance (MANCOVA), controlling for height and body mass, with partial eta-squared (η2) effect sizes, were used to compare total and regional body composition.Results:Senior players were taller (183.2 ± 5.8 vs 179.2 ± 5.7 cm, P = .001, d = 0.70) and heavier (96.5 ± 9.3 vs 86.5 ± 9.0 kg, P < .001, d = 1.09) with lower body-fat percentage (16.3 ± 3.7 vs 18.0 ± 3.7%, P = .032, d = 0.46) than academy players. MANCOVA identified significant overall main effects for total and regional body composition between academy and senior players. Senior players had lower total fat mass (P < .001, η 2 = 0.15), greater total lean mass (P < .001, η 2 = 0.14), and greater total BMC (P = .001, η 2 = 0.12) than academy players. For regional sites, academy players had significantly greater fat mass at the legs (P < .001, η 2 = 0.29) than senior players.Conclusions:The lower age, height, body mass, and BMC of academy players suggest that these players are still developing musculoskeletal characteristics. Gradual increases in lean mass and BMC while controlling fat mass is an important consideration for practitioners working with academy rugby league players, especially in the lower body.


2020 ◽  
Vol 22 (1) ◽  
Author(s):  
Eric Toussirot ◽  
Hubert Marotte ◽  
Denis Mulleman ◽  
Grégoire Cormier ◽  
Fabienne Coury ◽  
...  

Abstract Background Patients with rheumatoid arthritis (RA) have an increased risk of cardiovascular (CV) disease. Adiponectin is involved in the metabolism of glucose and lipids with favourable effects on CV disease, especially its high molecular weight (HMW) isoform. Body composition changes are described in RA with various phenotypes including obesity. The effects of tocilizumab on serum adiponectin and body composition, especially fat mass, in patients with RA are not well determined. Methods Patients with active RA despite previous csDMARDs and/or bDMARDs and who were tocilizumab naïve were enrolled in a multicentre open-label study. They were evaluated at baseline, 1, 3, 6 and 12 months. Clinical assessment included body mass index (BMI) and anthropometric measurements. Lipid and metabolic parameters, serum adiponectin (total and HMW), leptin, resistin and ghrelin were measured at each time point. Body composition (lean mass, fat mass, % fat, fat in the android and gynoid regions) was evaluated at baseline, 6 and 12 months. Results One hundred seven patients were included. Both total and HMW adiponectin significantly increased from baseline to month 3, peaking respectively at month 3 (p = 0.0105) and month 1 (p < 0.0001), then declining progressively until month 6 to 12 and returning to baseline values. Significant elevation in HMW adiponectin persisted at month 6 (p = 0.001). BMI and waist circumference significantly increased at month 6 and 12, as well as lean mass at month 6 (p = 0.0097). Fat mass, percentage fat and android fat did not change over the study period. Lipid parameters (total cholesterol and LDL cholesterol) increased while glycaemia, insulin and HOMA-IR remained stable. Serum leptin, resistin and ghrelin did not change during follow-up. Conclusions Tocilizumab treatment in RA patients was associated with a significant increase in total and HMW adiponectin, especially at the onset of the treatment. Tocilizumab also induced a significant gain in lean mass, while fat mass did not change. These variations in adiponectin levels during tocilizumab treatment could have positive effects on the CV risk of RA patients. In addition, tocilizumab may have an anabolic impact on lean mass/skeletal muscle. Trial registration The ADIPRAT study was a phase IV open-label multicentre study retrospectively registered on ClinicalTrials.gov under the number NCT02843789 (date of registration: July 26, 2016).


2021 ◽  
Vol 13 ◽  
pp. 1759720X2110150
Author(s):  
Jean-Guillaume Letarouilly ◽  
René-Marc Flipo ◽  
Bernard Cortet ◽  
Anne Tournadre ◽  
Julien Paccou

There is growing interest in the alterations in body composition (BC) that accompany rheumatoid arthritis (RA). The purpose of this review is to (i) investigate how BC is currently measured in RA patients, (ii) describe alterations in body composition in RA patients and (iii) evaluate the effect on nutrition, physical training, and treatments; that is, corticosteroids and biologic Disease Modifying Anti-Rheumatic Disease (bDMARDs), on BC in RA patients. The primary-source literature for this review was acquired using PubMed, Scopus and Cochrane database searches for articles published up to March 2021. The Medical Subject Headings (MeSH) terms used were ‘Arthritis, Rheumatoid’, ‘body composition’, ‘sarcopenia’, ‘obesity’, ‘cachexia’, ‘Absorptiometry, Photon’ and ‘Electric Impedance’. The titles and abstracts of all articles were reviewed for relevant subjects. Whole-BC measurements were usually performed using dual energy x-ray absorptiometry (DXA) to quantify lean- and fat-mass parameters. In RA patients, lean mass is lower and adiposity is higher than in healthy controls, both in men and women. The prevalence of abnormal BC conditions such as overfat, sarcopenia and sarcopenic obesity is significantly higher in RA patients than in healthy controls; these alterations in BC are observed even at an early stage of the disease. Data on the effect treatments on BC in RA patients are scarce. In the few studies published, (a) creatine supplementation and progressive resistance training induce a slight and temporary increase in lean mass, (b) exposure to corticosteroids induces a gain in fat mass and (c) tumour necrosis factor alpha (TNFα) inhibitors might be associated with a gain in fat mass, while tocilizumab might be associated with a gain in lean mass. The available data clearly demonstrate that alterations in BC occur in RA patients, but data on the effect of treatments, especially bDMARDs, are inconsistent and further studies are needed in this area.


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