Comparison of the anthropometric profiles of elite youth rugby union players

Background: Anthropometric evaluation of athletes is necessary to optimize talent identification and player development. The aim was to describe the anthropometric characteristics of national under-18 and under-20 rugby team by field positions in two season. Material and method: 152 players of under-18 and under-20 rugby teams were to measured mass, stature, skinfolds, percentage body fat, skeletal muscle mass, bone mineral and somatype between 2015-2016 and 2016-2017 season. Mean and standard deviation were calculated for each national team, groups and positional. The Mann-Whitney U test were performed to investigate differences between national team and by groups. The Kruskal-Wallis test was performed to investigate differences between positional. Results: The foward units were heavier, taller and had a larger percentage body fat and skeletal muscle mass than back units (p <0.05). The props had a larger percentage body fat (p <0.05) and the seconds row were taller (p <0.05). Conclusions: The elite players of under-20 in Spain are heavier and have a larger percentage body fat and skeletal muscle mass than elite players of under-18. The foward units are heavier, taller and have a larger percentage body fat, skeletal muscle mass and bone mineral tan back units. The props are heavier positional and have larger percentage body fat. The seconds row are taller positional.

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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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Body composition and energy intake — skeletal muscle mass is the strongest predictor of food intake in obese adolescents: The HEARTY trial

Applied Physiology Nutrition and Metabolism ◽

10.1139/apnm-2015-0479 ◽

2016 ◽

Vol 41 (6) ◽

pp. 611-617 ◽

Cited By ~ 37

Author(s):

Jameason D. Cameron ◽

Ronald J. Sigal ◽

Glen P. Kenny ◽

Angela S. Alberga ◽

Denis Prud’homme ◽

...

Keyword(s):

Skeletal Muscle ◽

Body Composition ◽

Body Weight ◽

Muscle Mass ◽

Energy Intake ◽

Skeletal Muscle Mass ◽

Fat Free Mass ◽

Cross Sectional ◽

Percentage Body Fat ◽

Obese Adolescents

There has been renewed interest in examining the relationship between specific components of energy expenditure and the overall influence on energy intake (EI). The purpose of this cross-sectional analysis was to determine the strongest metabolic and anthropometric predictors of EI. It was hypothesized that resting metabolic rate (RMR) and skeletal muscle mass would be the strongest predictors of EI in a sample of overweight and obese adolescents. 304 post-pubertal adolescents (91 boys, 213 girls) aged 16.1 (±1.4) years with body mass index at or above the 95th percentile for age and sex OR at or above the 85th percentile plus an additional diabetes risk factor were measured for body weight, RMR (kcal/day) by indirect calorimetry, body composition by magnetic resonance imaging (fat free mass (FFM), skeletal muscle mass, fat mass (FM), and percentage body fat), and EI (kcal/day) using 3 day food records. Body weight, RMR, FFM, skeletal muscle mass, and FM were all significantly correlated with EI (p < 0.005). After adjusting the model for age, sex, height, and physical activity, only FFM (β = 21.9, p = 0.007) and skeletal muscle mass (β = 25.8, p = 0.02) remained as significant predictors of EI. FFM and skeletal muscle mass also predicted dietary protein and fat intake (p < 0.05), but not carbohydrate intake. In conclusion, with skeletal muscle mass being the best predictor of EI, our results support the hypothesis that the magnitude of the body’s lean tissue is related to absolute levels of EI in a sample of inactive adolescents with obesity.

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Value of appendicular skeletal muscle mass to total body fat ratio in predicting obesity in elderly people: a 2.2-year longitudinal study

BMC Geriatrics ◽

10.1186/s12877-020-01540-9 ◽

2020 ◽

Vol 20 (1) ◽

Author(s):

Yu-Jie Zhang ◽

Shi-Hui Fu ◽

Jing-Xin Wang ◽

Xin Zhao ◽

Yao Yao ◽

...

Keyword(s):

Skeletal Muscle ◽

Longitudinal Study ◽

Elderly People ◽

Muscle Mass ◽

Body Fat ◽

Skeletal Muscle Mass ◽

Total Body Fat ◽

Appendicular Skeletal Muscle ◽

Total Body ◽

Appendicular Skeletal Muscle Mass

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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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Relationship of skeletal muscle mass, muscle strength and bone mineral density in adults with cystic fibrosis

Clinical Science ◽

10.1042/cs20000020 ◽

2000 ◽

Vol 99 (4) ◽

pp. 309 ◽

Cited By ~ 15

Author(s):

Sarah L. ELKIN ◽

Lauren WILLIAMS ◽

Margaret MOORE ◽

Margaret E. HODSON ◽

Olga M. RUTHERFORD

Keyword(s):

Bone Mineral Density ◽

Skeletal Muscle ◽

Cystic Fibrosis ◽

Muscle Strength ◽

Muscle Mass ◽

Bone Mineral ◽

Skeletal Muscle Mass ◽

Mineral Density ◽

Relationship Of

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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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Effect of Daily Macadamia Nut Consumption on Anthropometric Indices in Overweight and Obese Men and Women

Current Developments in Nutrition ◽

10.1093/cdn/nzaa047_009 ◽

2020 ◽

Vol 4 (Supplement_2) ◽

pp. 589-589

Author(s):

Julie Jones ◽

Sujatha Rajaram ◽

Celine Heskey ◽

Rawiwan Sirirat ◽

Abigail Clarke ◽

...

Keyword(s):

Skeletal Muscle ◽

Body Weight ◽

Waist Circumference ◽

Muscle Mass ◽

Body Fat ◽

Skeletal Muscle Mass ◽

Percent Body Fat ◽

Daily Consumption ◽

Men And Women ◽

Macadamia Nuts

Abstract Objectives We sought to assess the effect of daily consumption of macadamia nuts as 15% of calories on body weight, BMI, waist circumference, percent body fat and skeletal muscle mass in overweight/obese men and women with elevated cardiometabolic risk. Methods Utilizing a randomized crossover design, we randomized 38 subjects to consume macadamia nuts daily as 15% of calories for 8 weeks (intervention) and their usual diet for 8 weeks (control), with a 2-week washout. Three subjects dropped out early; n = 35 for analysis. Subjects were healthy men and postmenopausal women with a BMI of 25–39, a waist circumference of >101.6 cm for men and >88.9 cm for women, and one additional cardiovascular risk factor (fasting plasma glucose >100 mg/dL, triglycerides ≥150 mg/dl, total cholesterol >200 mg/dL, LDL-C > 100 mg/dL, blood pressure ≥130/85 mmHg or taking anti-hypertensive medication). Macadamia nuts were provided in pre-weighed daily portions as 15% of calories calculated using the Mifflin-St. Jeor equation. Percent body fat and skeletal muscle mass (kg) were determined by bioelectrical impedance analysis. A mixed model analysis was performed with treatment, sequence, phase, and baseline values as fixed-effect terms and subjects as a random-effects term. Results Compared to control, consumption of macadamia nuts led to a mean weight change of –348 g (84.13 vs. 83.78 kg; P = 0.15) a mean BMI change of –0.15 kg/m2 (30.61 vs. 30.47 kg/m2; P = 0.12), and a mean waist circumference change of 0.17 cm (107.41 vs. 107.58 cm; P = 0.61). Percent body fat increased by an average of 0.26% after eating nuts (42.70 vs. 42.96%; P = 0.16). Skeletal muscle mass was slightly but significantly lower after eating nuts with a mean change of –0.237 kg (26.33 vs. 26.09 kg; P = 0.017). Conclusions Daily consumption of high-fat macadamia nuts for eight weeks in overweight and obese individuals did not change anthropometrics including body weight, BMI, waist circumference, and % body fat. Skeletal muscle mass was slightly lowered but likely not clinically relevant. Funding Sources Hort Innovation, Sydney, Australia.

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