Total Fat-free Mass Research Articles

The relationship between brain structure volumes, depressive symptoms and body composition in obese/overweight and normal-/underweight women

Depressive symptoms are highly prevalent and heterogeneous in women. Different brain structures might be associated with depressive symptoms and body composition in women with obesity/overweight and normal-/underweight, although the data is limited. The analysis included 265 women from Bialystok PLUS population study, untreated with antidepressive or antipsychotic medications. The subjects underwent brain magnetic resonance imaging and body composition analysis. Beck Depression Inventory (BDI) score was inversely associated with nucleus accumbens volume (β = −0.217, p = 0.008) in women with BMI ≥ 25 kg/m2, but with insula volume (β = −0.147, p = 0.027) in women with BMI < 25 kg/m2 after adjustment for age and estimated intracranial volume (eTIV). In women with BMI ≥ 25 kg/m2, nucleus accumbens volume was inversely associated with the percentage of visceral fat and BDI score (β = −0.236, p = 0.012, β = −0.192, p = 0.017) after adjustment for age and eTIV. In women with BMI < 25 kg/m2, insula volume was positively associated with total fat-free mass and negatively with the BDI score (β = 0.142, p = 0.030, β = −0.137, p = 0.037) after adjustment for age and eTIV. Depressive symptoms might be associated with nucleus accumbens volume in overweight/obese women, while in normal-/ underweight women—with alterations in insula volume.

BODY COMPOSITION PREDICTS HYPERTENSION USING MACHINE LEARNING METHODS: A COHORT STUDY

Objective: Hypertension is one of the most important and preventable causes of cardiovascular disease (CVD), stroke, chronic kidney disease, and dementia which caused approximately 8.5 million deaths in 2015, in low &amp; middle income countries. Hypertension depends on well known risk factors such as age, gender, family history, smoking, alcohol consumption, central obesity, overweight and physical inactivity. Evidence shows that body fat distribution is a more vital determinant of cardiovascular morbidity and mortality than increased fat mass. In the past few years, growing number of researchers have used machine learning and data mining algorithms to diagnose and treat health conditions such as heart11 and brain12 diseases. Their non-invasive nature and accuracy have enabled health professionals to quickly identify at-risk individuals and use more efficient preventive and managing strategies. In this study, we used machine learning approaches to investigate whether BIA-derived body composition indices predict hypertension in a cohort of patients. Design and method: Data from a cohort study was used. Body composition analysis was done using bioelectrical impedance analysis (BIA); weight, basal metabolic rate, total and regional fat percentage (FATP), and total and regional fat-free mass (FFM) were measured. We used machine learning methods such as Support Vector Classifer, Decision Tree, Stochastic Gradient Descend Classifer, Logistic Regression, Gaussian Naïve Bayes, K-Nearest Neighbor, Multi-Layer Perceptron, Random Forest, Gradient Boosting, Histogram-based Gradient Boosting, Bagging, Extra Tree, Ada Boost, Voting, and Stacking to classify the investigated cases and fnd the most relevant features to hypertension. Results: 4663 records were included (2156 were male, 1099 with hypertension, with the age range of 35–70 years old). Arm FFM, basal metabolic rate, total FFM, Trunk FFM, leg FFM, and male gender were inversely associated with hypertension, but total FATP, arm FATP, leg FATP, older age, trunk FATP, and female gender were directly associated with hypertension. AutoMLP, stacking and voting methods had the best performance for hypertension prediction achieving an accuracy rate of 90%, 84% and 83%, respectively. Conclusions: By using machine learning methods, we found that BIA-derived body composition indices predict hypertension with acceptable accuracy.

Resistance training effects on pubertal children with a risk of developing pediatric dynapenia

PurposeMany modern-day children are at risk of pediatric dynapenia (muscle weakness). We examined the effects of a 12-week resistance training (RT) program on neuromuscular function and body composition parameters in pubertal children with a risk of dynapenia.MethodsTwelve children (13.4 ± 0.9 y) with dynapenia performed a progressive RT program consisting of knee extension and flexion, bench press, abdominal crunch, back extension, lateral pull-down, elbow flexion, and upright row (1–2 sets of 10–15 repetitions/exercise) twice/week for 12 weeks. Outcome measures included one-repetition maximum (1-RM) strength, maximal voluntary isometric contraction (MVIC) torque, rate of torque development (RTD), electromyographic (EMG) activity, muscle thickness (MT), muscle quality (MQ) assessed by echo intensity (MQEI) of the knee extensors and specific tension of MVIC torque to thigh fat-free mass (MQST), and total and regional body and bone composition assessed by dual-energy X-ray absorptiometry. Changes in the measures before and after the 12-week RT and associations among the measures were analyzed by linear mixed models.ResultsSignificant (p < 0.05) increases in 1-RM (63.9 ± 4.5%), MVIC torque (16.3 ± 17.8%), MT (18.8 ± 5.5%) and MQ (MQEI: -25.9 ± 15.2%; MQST: 15.1 ± 18.8%;) were evident from pre- to post-training. Total fat-free mass (FFM) increased by 2.3 ± 3.2% from baseline (p = 0.01), but no changes (p > 0.05) in the other measures were observed. Significant (p < 0.05) associations between the changes in 1-RM and/or MVIC torque and the changes in quadriceps MT, MQEI, MQST and total body FFM were evident.ConclusionsThe 12-week RT was effective for improving neuromuscular and body composition parameters, and thereby reversed the risk of pediatric dynapenia.

Associations of Serum Uric Acid to High-Density Lipoprotein Cholesterol Ratio with Trunk Fat Mass and Visceral Fat Accumulation.

It has been reported recently that the ratio of uric acid to high-density lipoprotein cholesterol (UHR) is correlated with several metabolic disorders. The present study aimed to investigate the associations of UHR with body fat content and distribution. This study enrolled 300 participants (58 men and 242 women) aged 18 to 65 years. The levels of serum uric acid and high-density lipoprotein cholesterol were measured by standard enzymatic methods. The overall fat content and segmental fat distribution were assessed with an automatic bioelectrical impedance analyzer. In the population with obesity, the visceral fat area (VFA) and subcutaneous fat area (SFA) were measured using magnetic resonance imaging. Among the study population, 219 individuals (73.0%) were with obesity. The median level of UHR in individuals with obesity was 33.7% (26.2% - 45.9%), which was significantly higher than that in those without obesity [22.6% (17.0% - 34.4%), P < 0.01]. UHR was positively associated with overall fat content and segmental fat distribution parameters (all P < 0.01). In multivariate linear regression analysis, compared with body mass index, waist circumference was more closely associated with UHR (standardized β = 0.427, P < 0.001) after adjusting for confounding factors. Additionally, total fat mass (standardized β = 0.225, P = 0.002) and trunk fat mass (standardized β = 0.296, P = 0.036) were more closely linked to UHR than total fat-free mass and leg fat mass, respectively. In the population with obesity, VFA was independently correlated with UHR (P < 0.01), while SFA was not associated with UHR. UHR was significantly associated with overall fat content and trunk fat accumulation. In the population with obesity, UHR was positively associated with VFA. Attention should be paid to the role of excessive trunk fat mass in the relationship between UHR and metabolic disorders.

Fat-free mass may play a dominant role in the association between systolic blood pressure and body composition in children and adolescents.

Systolic blood pressure (SBP) is significantly associated with body composition in children and adolescents. However, which one of the components of body composition is the dominant contributor to SBP in children and adolescents remains unclear. We, therefore, aimed to determine the dominant contributor to SBP among components of body composition in a large cohort of American children and adolescents derived from the National Health and Nutrition Examination Survey with cross-sectional analysis. In total, 13618 children and adolescents (median age 13 years; 6107 girls) with available data on whole-body dual-emission X-ray absorptiometry measurements were included. Multiple linear regression showed that SBP was associated with higher total fat-free mass in boys (β = 0·49, P < 0·001) and girls (β = 0·47, P < 0·001) and with higher total fat mass only in boys (β = 0·12, P < 0·001) after adjustment for covariates. When taking fat distribution into consideration, SBP was associated with higher trunk fat mass (boys: β = 0·28, P < 0·001; girls: β = 0·15, P < 0·001) but negatively associated with leg fat mass (Boys: β = -0·14, P < 0·001; Girls: β = -0·11, P < 0·001), in both boys and girls. Dominance analysis showed that total fat-free mass was the dominant contributor to SBP (boys: 49 %; girls: 55·3 %), followed by trunk fat mass (boys: 32·1 %; girls: 26·9 %); leg fat mass contributed the least to SBP in boys (18·9 %) and girls (17·8 %). Our findings indicated that total fat-free mass was not only associated with SBP but also the most dominant contributor to SBP variation in American children and adolescents.

成長期野球選手の打撃におけるスイングスピードの発達様式

The purpose of this study was to determine the developmental pattern of swing speed in youth baseball players between 6 and 14 years old. A total of 1213 baseball players performed toss batting. Swing speed was measured with a specialized accelerometer. In addition, 618 of the 1213 players were measured for total fat free mass by using Inbody770. In study1, Regression analysis was performed on the relationship between chronological age or height and swing speed, and the extreme values were calculated. Then, an allometric equation based on height was also used to estimate the relative growth of swing speed and total fat free mass and to compare the difference of relative growth patterns between swing speed and total fat free mass in study2. Swing speed was strongly related to both chronological age and height, with cubic regression for the relationship with chronological age and linear for the relationship with height. The regression equation obtained for chronological age was solved and found that developmental rate was maximal at approximately 10.25 years old. Allometric analysis showed that the developmental pattern of swing speed differed from that of fat free mass, with a temporary decline in developmental rate from 153.6 cm to 160.9 cm. Based on the results of this study, further research in youth baseball players would be expected to identify the factors causing sluggish development of swing speed as well as to develop an exercise program for improving batting ability.

Body composition predicts hypertension using machine learning methods: a cohort study

We used machine learning methods to investigate if body composition indices predict hypertension. Data from a cohort study was used, and 4663 records were included (2156 were male, 1099 with hypertension, with the age range of 35–70 years old). Body composition analysis was done using bioelectrical impedance analysis (BIA); weight, basal metabolic rate, total and regional fat percentage (FATP), and total and regional fat-free mass (FFM) were measured. We used machine learning methods such as Support Vector Classifier, Decision Tree, Stochastic Gradient Descend Classifier, Logistic Regression, Gaussian Naïve Bayes, K-Nearest Neighbor, Multi-Layer Perceptron, Random Forest, Gradient Boosting, Histogram-based Gradient Boosting, Bagging, Extra Tree, Ada Boost, Voting, and Stacking to classify the investigated cases and find the most relevant features to hypertension. FATP, AFFM, BMR, FFM, TRFFM, AFATP, LFATP, and older age were the top features in hypertension prediction. Arm FFM, basal metabolic rate, total FFM, Trunk FFM, leg FFM, and male gender were inversely associated with hypertension, but total FATP, arm FATP, leg FATP, older age, trunk FATP, and female gender were directly associated with hypertension. AutoMLP, stacking and voting methods had the best performance for hypertension prediction achieving an accuracy rate of 90%, 84% and 83%, respectively. By using machine learning methods, we found that BIA-derived body composition indices predict hypertension with acceptable accuracy.

Abstract P619: DNA Methylation at SREBF1 and Long-Term Changes in Body Composition: The POUNDS Lost Trial

Introduction: A previous epigenome-wide association study has causally linked DNA methylation (DNAm) at the SREBF1 gene (cg11024682) with obesity and lipids. However, little is known about whether DNAm at SREBF1 is associated with long-term changes in body adiposity and composition. Hypothesis: We hypothesized that participants with different DNAm at SRBF1 might respond differently to dietary weight-loss interventions on changes in body adiposity and composition. Methods: The current study included 314 individuals with overweight or obese, who participated in POUNDS Lost: a 2-year randomized dietary weight-loss trial. The blood DNAm level was profiled by methylC-capture sequencing at baseline. Regional DNAm at SREBF1 was calculated as the average methylation level over CpGs within ±250 bp of cg11024682. Body composition, including total fat mass (FM), percentage of FM (FM%), total fat-free mass (FFM), percentage of FFM (FFM%), and percentage of trunk fat (TF%) were measured by dual-energy X-ray absorptiometry (DEXA) at baseline, 6 months, and 2 years. Results: Lower regional DNAm at SREBF1 was significantly associated with changes in body composition across 2 years ( Table ). At 6 months, per SD lower regional DNAm at SREBF1 was significantly associated with greater reductions in FM (β [SE] -0.23 [0.07], p=0.002), FM% (-0.30 [0.09], p&lt;0.001), and TF% (-0.44 [0.13], p&lt;0.001), and greater increases in FFM (0.18 [0.08], p=0.028) and FFM% (0.30 [0.09], p&lt;0.001), regardless of dietary intervention groups and independent of concurrent weight loss. Such association remained at 2 years: FM (β [SE] -0.21 [0.10], p=0.045), FM% (-0.32 [0.11], p=0.004), TF% (-0.36 [0.16], p=0.026), FFM (0.22 [0.12], p=0.07) and FFM% (0.32 [0.11], p=0.004). Conclusions: Overweight and obese individuals with a lower regional DNAm at SREBF1 achieved greater improvement in body composition across the 2-year intervention, independent of concurrent weight loss, suggesting DNAm at SREBF1 is predictive of individuals’ response to treatment.

Agreement Between Dual-Energy X-ray Absorptiometry and Bioelectric Impedance Analysis for Assessing Body Composition in Athletes: A Systematic Review and Meta-Analysis.

To compare dual-energy x-ray absorptiometry (DXA) and bioelectric impedance analysis (BIA) in the assessment of body composition in athletes. A systematic review and meta-analysis was conducted collating peer-reviewed studies that compared BIA with DXA for the assessment of body composition in athletes that indexed in MEDLINE, CINAHL, EMBASE, and PsycINFO databases. After duplicate removal, 267 articles remained for full-text screening. Sixty-three studies remained for the final inclusion, with 8 focused on athletes (n = 461). Five studies were included in the meta-analysis and were rated as positive after risk of bias assessment, whereas the remaining were neutral. BIA overestimated fat-free mass (FFM) over DXA 2.78 (1.38-4.18) (mean difference ± 95% CI) with an effect size of 3.9( P < 0.001). BIA was found to overestimate total FFM when compared with DXA. Correlations are high between BIA and DXA; however, the limits of agreement are wide. Hence, BIA may not be a suitable substitute for DXA body composition scanning of athletes. Because of the low level of ionizing radiation exposure, the use of DXA should always be medically justified, and therefore, it is not recommended for repeat, longitudinal measurements in healthy subjects.We recommend that clinicians do not use BIA interchangeably with DXA in the assessment of body composition in athletes. Considerations should be made over the safety and appropriateness of DXA in young healthy adults. For long-term use, BIA can be warranted for athletes.PROSPERO Registration Number: CRD42020183777.

Multidimensional individualized nutritional therapy for individuals with severe chronic obstructive pulmonary disease: study protocol for a registry-based randomized controlled trial

BackgroundIndividuals with severe chronic obstructive pulmonary disease (COPD) are often at risk of undernutrition with low health-related quality of life (HRQoL). Undernutrition can worsen COPD and other comorbidities, be an independent predictor of morbidity and functional decline resulting in increased healthcare consumption and increased risk of death. Especially exacerbations and acute infections result in unintentional weight loss. The aim is to investigate the effect of an individualized nutritional intervention among individuals with severe COPD.MethodsAn open-label randomized controlled trial with two parallel groups. Participants are recruited from the pulmonary outpatient clinic at the Department of Pulmonary and Infectious Diseases, Copenhagen University Hospital, North Zealand, Denmark, and randomly allocated to either the intervention (intervention + standard of care) or control group (standard of care). The intervention has a duration of 3 months and combines individual nutritional care with adherence support and practical tools. It contains 4 elements including an individual nutritional plan, regular contacts, adherence support, and weight diary. The primary outcome is a difference in HRQoL (EQ-5D-5L) between the intervention and control group 3 months after baseline. Difference in functional capacity (grip strength, 30-s stand chair test, and physical activity), disease-specific quality of life (COPD Assessment Test), anxiety and depression (Hospital Anxiety and Depression Scale), nutritional parameters (energy and protein intake), anthropometry (weight, body mass index, waist, hip, and upper arm circumference), body composition (total fat-free and fat mass and indices), and prognosis (exacerbations, oxygen therapy, hospital contacts, and mortality) 3 months after baseline will be included as secondary outcomes. Data will be collected through home visits at baseline and 1 and 3 months after baseline.DiscussionCurrently, nutritional care is a neglected area of outpatient care among individuals with severe COPD. If this patient-centered approach can demonstrate a positive impact on HRQoL, mortality, and hospital contacts, it should be recommended as part of end-of-life care for individuals with severe COPD.Trial registrationClinicalTrials.gov NCT04873856. Registered on May 3, 2021.

Assessment of the Clinical Condition and Way of Patients' Nutrition before and after Laparoscopic Sleeve Gastrectomy.

One of the most commonly performed bariatric procedures is the laparoscopic sleeve gastrectomy (LSG). It is highly effective in reducing body weight, but it carries the risk of developing nutritional deficiencies and their consequences. The aim of the study was to determine the clinical condition of obese patients after LSG in terms of nutritional status, metabolic disorders, and way of nutrition. Thirty participants (15 women and 15 men) took part in the study. A statistically significant reduction in the total body fat mass (women by 37.5% p < 0.05, men by 37.06% p < 0.05) and total fat free mass (women by 10% p < 0,05, men by 12.5% p < 0.05) was demonstrated 6 months after LSG. Moreover, insufficient protein intake has been shown in over 73% of women and 40% of men. Before and 6 months after LSG, insufficient intake of calcium, magnesium, potassium, folate, vitamin D, and iron was observed. Six months after the LSG, significant decreases of fasting glucose (p < 0.05), insulin (p < 0.05), TG (p < 0.05), and AST (p < 0.05) concentrations, were observed in both groups. Optimization of nutrition in order to prevent nutritional deficiencies and their complications is a key element of the therapy of obese patients treated surgically.

Изменчивость показателей состава тела детей школьного возраста из семей различного социально-экономического статуса Саратовской области

Numerous publications have noted a general pattern: then higher are the parents’ educational and professional level, and then larger and heavier are their children, which is associated with a higher family income. The purpose of this work is to consider the variability of body composition indicators in schoolchildren 7–17 years old from the Saratov region depending the characteristics of the family’s socio-economic status proposed by us, and to evaluate the impact of the level of material prosperity on the main indicators of the physical development of children and adolescents. Materials and methods. The materials of the comprehensive survey in 2002–2004 children and adolescents 7–17 years old from the cities of the Saratov region, with a total number of 4266 people are used. The average normalized values of total sizes and 17 body composition indicators calculated by different methods were compared in each of 42 groups of boys or girls formed according to 3 gradations by one of 7 socio-economic factors. Results and discussion. There are significant (95%) differences in levels of total body size in children of both sexes, corresponding to the literature data: the higher the indicators of family income, the greater the values of morphological signs, magnitude of differences up to 0.7δ. Boys from large families have the smallest body sizes and very weak development of the fat component. With an increase in the educational and professional levels of mothers, sons have higher total fat-free mass, total water and percentage of fat mass, magnitude of differences 0.4δ–0.7δ. In girls, with an increase in the material income, educational and professional levels of mothers, almost all indicators are growing, except for body density, percentage of fat-free mass and percentage of water, magnitude of differences 0.4δ–0.7δ. Daughters of fathers with secondary professional level have the highest rates of development of the fat-free component (magnitude of differences 0.6δ) and average body size. Conclusions. There is sexual dimorphism in the variability of body composition indicators in school-aged children from families of various socio-economic status. In boys, the relationship between absolute indicators of body composition (reflecting body sizes) and factors of financial income of the family according to the traditional scheme is expressed. In girls – between relative indicators (reflecting the development of fat deposition) and the professional level of parents. In children of parents with high occupational levels, the ratio of fat to muscle component may indicate latent obesity. The method of calculating the body composition does not significantly affect the results of the analysis.

Is low cardiorespiratory fitness a feature of metabolic syndrome in children and adults?

Cardiorespiratory fitness has been inversely associated with risk of cardiometabolic diseases. However, there are no studies comparing the independent associations of cardiorespiratory fitness scaled by body size and composition using different approaches with cardiometabolic risk factors between children and adults. We therefore investigated these associations in children and adults using same measures for cardiorespiratory fitness and cardiometabolic risk factors. Cross-sectional. A total of 352 children (47.2 % girls) and 572 men were included in the study. Peak oxygen uptake (V̇O2peak) was measured during a maximal exercise test on a cycle ergometer and was scaled by total body mass, total fat free mass, and allometrically modelled body mass, fat free mass, and stature. Insulin, glucose, triglycerides, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol were assessed from fasting blood samples and systolic blood pressure and diastolic blood pressure were measured. Homeostatic model assessment for insulin resistance and continuous metabolic risk score were computed. V̇O2peak scaled by body mass was inversely associated with insulin, homeostatic model assessment for insulin resistance, triglycerides, diastolic blood pressure, the cardiometabolic risk score and the number of cardiometabolic risk factors in children and adults. However, these associations attenuated remarkably when V̇O2peak was scaled by total fat free mass or allometrically modelled body mass, fat free mass, or stature. V̇O2peak was consistently and positively associated with high-density lipoprotein cholesterol in children and adults irrespective of the scaling approach. The inverse associations of cardiorespiratory fitness with cardiometabolic risk factors among children and adults attenuated remarkably when body size and composition were appropriately controlled for. However, the positive association between cardiorespiratory fitness and high-density lipoprotein cholesterol was consistent irrespective of the scaling approach.

OR25-6 In Men on Testosterone Therapy, Baseline Testosterone Level of &amp;lt;264 ng/dL is Associated with Greater Improvement in Body Composition, While Level of ≥264 ng/dL Favors Improvement in Metabolic Profile

Abstract Context Male hypogonadism adversely affects body composition, bone mineral density (BMD), and metabolic health. A previous report showed that pre-treatment testosterone (T) levels of &amp;lt;200 ng/dL is associated with greater improvement in spine BMD with T therapy. However, to date, there is no study investigating whether baseline T levels also influences body composition and metabolic response to T therapy. Objective To determine if there are differences in the changes in body composition, metabolic profile, and bone turnover markers, in addition to BMD, in response to T therapy in men with baseline T level of &amp;lt; 264 ng/dL compared to those with levels ≥264ng/dL Methods: Secondary analysis of single-arm, open-label clinical trial (NCT01378299) on pharmacogenetics of response to T therapy conducted between 2011-2016 involving 105 men (40-74 years old), with average morning T &amp;lt; 300 ng/dL, given intramuscular T cypionate 200 mg every 2 weeks for 18 months. Subjects were divided into those with baseline T levels of &amp;lt; 264 ng/dL (N=43) and those with ≥264 ng/dL (N=57). T and estradiol (E2) were measured by liquid chromatography/mass spectrometry; serum bone turnover markers (C-telopeptide [CTX], osteocalcin, sclerostin), adiponectin, and leptin by enzyme-linked immunosorbent assay; glycated hemoglobin (HbA1c) by high-performance liquid chromatography, areal BMD, and body composition by dual-energy x-ray absorptiometry (DXA). Results Men with T &amp;lt; 264 ng/dL showed greater increases in total fat-free mass (FFM) at 18 months compared to those with T ≥ 264 ng/dL (4.2±4.1 vs 2.7±3.8%; p=0.047) and unadjusted appendicular FFM at 6 and 18 months (8.7±11.5 vs 4.4±4.3%, 7.3±11.6 vs 2.4±6.8%; p=0.033 and p=0.043, respectively). Men with T ≥ 264 ng/dL showed significant decreases in HbA1c at 12 months (-3.1±9.2 vs 3.2±13.9%; p=0.005), fasting glucose at 18 months (-4.2±31.9 vs 13.0±57.3%; p=0.040), LDL at 6 months (-6.4±27.5 vs 12.8±44.1%; p=0.034), leptin at 18 months (-40.2±35.1 vs -27.6±31.0%; p=0.034) compared to those with T &amp;lt; 264 ng/dL. No significant differences in BMD and bone turnover markers were observed. Conclusion T therapy results in improvement in body composition irrespective of baseline T levels but T &amp;lt;264 ng/dL is associated with greater improvement in FFM, whereas T level of ≥264 ng/dL favors improvement in metabolic profile. Presentation: Monday, June 13, 2022 12:15 p.m. - 12:30 p.m.

Baseline Testosterone Predicts Body Composition and Metabolic Response to Testosterone Therapy.

ContextMale hypogonadism adversely affects body composition, bone mineral density (BMD), and metabolic health. A previous report showed that pre-treatment testosterone (T) levels of <200 ng/dl is associated with greater improvement in spine BMD with T therapy. However, to date, there is no study that investigates whether baseline T levels also influence body composition and metabolic response to T therapy.ObjectiveThe aim of this study is to determine if there are differences in the changes in body composition, metabolic profile, and bone turnover markers, in addition to BMD, in response to T therapy in men with a baseline T level of <264 ng/dl compared to those with levels ≥264 ng/dl.MethodsThis is a secondary analysis of a single-arm, open-label clinical trial (NCT01378299) on pharmacogenetics of response to T therapy conducted between 2011 and 2016 involving 105 men (40–74 years old), with average morning T < 300 ng/dl, given intramuscular T cypionate 200 mg every 2 weeks for 18 months. Subjects were divided into those with baseline T levels of <264 ng/dl (N = 43) and those with ≥264 ng/dl (N = 57). T and estradiol (E2) were measured by liquid chromatography/mass spectrometry; serum bone turnover markers (C-telopeptide [CTX], osteocalcin, and sclerostin), adiponectin, and leptin were measured by enzyme-linked immunosorbent assay; glycated hemoglobin (HbA1c) was measured by high-performance liquid chromatography; and areal BMD and body composition was measured by dual-energy x-ray absorptiometry (DXA).ResultsMen with T < 264 ng/dl showed greater increases in total fat-free mass (FFM) at 18 months compared to those with T ≥ 264 ng/dl (4.2 ± 4.1 vs. 2.7 ± 3.8%; p = 0.047) and unadjusted appendicular FFM at 6 and 18 months (8.7 ± 11.5 vs. 4.4 ± 4.3%, 7.3 ± 11.6 vs. 2.4 ± 6.8%; p = 0.033 and p = 0.043, respectively). Men with T ≥ 264 ng/dl showed significant decreases in HbA1c at 12 months (−3.1 ± 9.2 vs. 3.2 ± 13.9%; p = 0.005), fasting glucose at 18 months (−4.2 ± 31.9 vs. 13.0 ± 57.3%; p = 0.040), LDL at 6 months (−6.4 ± 27.5 vs. 12.8 ± 44.1%; p = 0.034), and leptin at 18 months (−40.2 ± 35.1 vs. −27.6 ± 31.0%; p = 0.034) compared to those with T < 264 ng/dl. No significant differences in BMD and bone turnover markers were observed.ConclusionT therapy results in improvement in body composition irrespective of baseline T levels but T < 264 ng/dl is associated with greater improvement in FFM, whereas a T level of ≥264 ng/dl favors improvement in metabolic profile.

Exposure to per- and polyfluoroalkyl substances and body composition in US adolescents aged 12-18 years: an analysis of data from the National Health and Nutrition Examination Surveys 2011-2018

BackgroundThe associations between per- and polyfluoroalkyl substances (PFAS) and obesity in adolescent remained unclear when considering imaging based methods such as dual-energy X-ray absorptiometry (DXA) scanning. MethodsThe 2011-2018 National Health and Nutrition Examination Survey (NHANES) was used in this study. There were four highly detected PFAS including perfluorooctane sulfonic acid (PFOS), perfluorooctanoic acid (PFOA), perfluorohexane sulfonic acid (PFHxS), and perfluorononanoic acid (PFNA). We calculated total mass, fat mass and fat-free mass (i.e., lean mass including bone mineral content) indexes (mass/height2) of total body and three regions [head, trunk and subtotal (i.e., total minus head)]. We assessed the associations using weighted multivariable linear regression and weighted quantile sum (WQS) regression. ResultsA total of 1067 participants aged 12-18 years were included in this study. When adjusting for potential covariates, PFHxS exposure was negatively associated with total fat mass index while positively associated with total fat-free mass index [β=-0.16, 95% confidence interval (CI): -0.27 to -0.04; β=0.16, 95%CI: 0.05 to 0.28]. When entering the PFAS mixture in the WQS model, we found similar associations of WQS index with total fat or fat-free mass index (β=-0.04, 95%CI: -0.08 to -0.00; β=0.04, 95%CI: 0.00 to 0.08). Within the PFAS mixture, PFOA exposure made major contributions to the overall effect (56.6% and 44.1% for total fat and fat-free mass index). We did not find any significant association with regard to PFAS exposure and total mass index. ConclusionsAmong US adolescents, higher PFHxS exposure was associated with lower body fat mass and higher fat-free mass in single PFAS models. We observed similar associations of the PFAS mixture with fat and fat-free mass, and PFOA exposure made major contributions to the overall effect. Overall, PFAS exposure might disturb energy balance and body composition in adolescents, and more studies are needed to confirm our findings.

P274 Bioelectrical impedance analysis identifies low skeletal muscle index in patients with Inflammatory Bowel Disease

Abstract Background Low skeletal muscle index (SMI) has been associated with increased need for surgery and post-surgical complications in patients with Inflammatory Bowel Disease (IBD). On dual energy X-ray absorptiometry (DXA), SMI is routinely calculated by dividing limb skeletal muscle mass (kg) by the square of the height (m2). Bioelectrical impedance analysis (BIA) provides a quick, inexpensive and radiation-free method to measure body composition. The aim of this study was to compare BIA with DXA to identify patients with low skeletal muscle mass and to show change over 14 weeks. Methods This single-centre prospective study recruited adult patients with IBD and adult controls, matched for gender. Active disease was defined as a faecal calprotectin of ≥150 μg/g. Active IBD patients undergoing biologic induction had repeat body composition measurements at least 14 weeks apart. All patients underwent single-frequency segmental BIA (Tanita BC-418) and DXA (GE Lunar Prodigy). A BIA-predicted SMI was calculated by dividing limb fat-free mass (kg) by the square of the height (m2). Results Of 48 patients with IBD, 54% had Crohn’s disease, 56% were male and median age was 29 (IQR 23–40) years. 28 had active disease, 16 inactive disease and 4 had no faecal calprotectin available. Patients with IBD and controls (n=30) had similar total body water, measured by BIA, and differed in albumin levels (39 vs 40.1 g/L, p=0.011). In IBD patients and controls, BIA total fat-free mass correlated strongly with DXA-derived fat-free mass (0.96 and 0.93, both p&amp;lt;0.0001). The BIA-predicted SMI also correlated well with DXA-derived SMI (0.89 and 0.91, both p&amp;lt;0.0001). The correlation was stronger for Ulcerative Colitis (0.96) compared to Crohn’s disease (0.84). In patients with IBD, the mean difference between BIA-predicted SMI and DXA-derived SMI was 1.1 ± 0.6 kg/m2 with 95% limits of agreement, -0.1 to 2.3 kg/m2. Controls followed a similar trend with a mean difference of 0.5 ± 0.6 kg/m2 and 95% limits of agreement, -0.5 to 1.6 kg/m2. The BIA-predicted SMI demonstrated a strong ability to identify low DXA-derived SMI for women with IBD (AUC: 0.98) and less so for men (AUC: 0.79). In 14 patients undergoing biologic treatment, change in DXA-derived SMI correlated with BIA-derived SMI (0.76, p=0.003). Conclusion An accurate estimate of SMI can be obtained with BIA as point-of-care in clinical practice. Further prospective studies with larger sample sizes are needed to determine the accuracy of BIA in monitoring changes of SMI during IBD treatment.

Metabolic syndrome and its association with components of sarcopenia in older community-dwelling Chinese.

Aging and obesity contribute to muscle dysfunction. This study aimed to determine the cross-sectional associations between components of metabolic syndrome (MetS) and sarcopenia in 251 older community-dwelling Chinese. The total fat-free mass was measured by dual-energy X-ray absorptiometry, muscle strength (handgrip strength) by a handheld dynamometer, physical performance by 4-meter walk, 5-time chair stand test, and the short physical performance battery (SPPB). MetS was defined using the International Diabetes Federation (IDF) criteria. The participants with MetS had a higher appendicular skeletal muscle mass (ASM) and relative ASM (RASM). The males with MetS had higher handgrip strength, and the females with MetS had higher SPPB scores. After adjusting for age and body mass index, the participants with an increased waist circumference had a higher ASM, and those with increased diastolic blood pressure (DBP) also had higher handgrip strength. The males with elevated fasting blood glucose (FBG) levels had a lower gait speed. Components of MetS, such as DPB and FBG, were associated with muscle strength and physical performance in older adults. These results suggest that muscle strength and function should be considered in treating older adults with MetS.

Differences in Adiposity Profile and Body Fat Distribution between Forwards and Backs in Sub-Elite Spanish Female Rugby Union Players.

The purpose of this study was to analyze the adiposity profile and the body fat distribution in 56 sub-elite female rugby union players involved in the Spanish National Women’s Rugby Union Championships. The participants included in this study, which was the first to analyze sub-elite players, show thinner skinfolds, lower fat mass, and lesser fat percentage than previously reported for elite female rugby union players. Forwards were heavier and had higher body mass index (BMI) and fat mass, thicker skinfolds, and higher fat percentage than back players. Forwards also possessed significantly greater total fat-free mass than backs. All these differences were applicable only to players under 25 years of age. A negative correlation between age and both abdominal and lower extremity fat was found in forward players but not in the backs. Both Yuhasz and Faulkner equations tended to underestimate fat percentage in comparison to Reilly equation. Although Yuhasz equation provided higher systematic error, random error was lower in comparison to Faulkner equation. This study shows the relevance of analyzing and monitoring adiposity in female rugby union players to optimize adaptation to the sports requirements of different playing positions and age.

Genetically Determined Serum 25-Hydroxyvitamin D Is Associated with Total, Trunk, and Arm Fat-Free Mass: A Mendelian Randomization Study

PurposeLow serum vitamin D status has been associated with reduced muscle mass in observational studies although the relationship is controversial and a causal association cannot be determined from such observations. Two-sample Mendelian randomization (MR) was applied to assess the association between serum vitamin D (25(OH)D) and total, trunk, arm and leg fat-free mass (FFM).MethodsMR was implemented using summary-level data from the largest genome-wide association studies (GWAS) on vitamin D (n=73,699) and total, trunk, arm and leg FFM. Inverse variance weighted method (IVW) was used to estimate the causal estimates. Weighted median (WM)-based method, and MR-Egger, leave-one-out were applied as sensitivity analysis.ResultsGenetically higher serum 25(OH)D levels had a positive effect on total (IVW = Beta: 0.042, p = 0.038), trunk (IVW = Beta: 0.045, p = 0.023) and arm (right arm IVW = Beta: 0.044, p = 0.002; left arm IVW = Beta: 0.05, p = 0.005) FFM. However, the association with leg FFM was not significant (right leg IVW = Beta: 0.03, p = 0.238; left leg IVW = Beta: 0.039, p = 0.100). The likelihood of heterogeneity and pleiotropy was determined to be low (statistically non-significant), and the observed associations were not driven by single SNPs. Furthermore, MR pleiotropy residual sum and outlier test did not highlight any outliers.ConclusionsOur results illustrate the potentially causal, positive effect of serum 25(OH)D concentration on total, trunk and upper body appendicular fat-free mass.