The Hepcidin-25/Ferritin Ratio Is Increased in University Rugby Players with Lower Fat Mass

Hepcidin-25 is suggested as a surrogate iron status marker in athletes who show exercise-induced anemia; however, the implications of hepcidin concentration in this population remain poorly understood. This study aimed to investigate the relationship between hepcidin and body fat levels in rugby football players. We included 40 male university rugby football players (RUG) and 40 non-athlete controls. All participants underwent an anthropometric analysis and blood testing that included both hepcidin-25 and ferritin levels. The hepcidin-25 level was slightly (11.6%, p = 0.50) higher, and the ferritin level was significantly (35.9%, p < 0.05) lower, in the RUG group than in controls. The hepcidin-25 to-ferritin ratio was significantly higher (62.5%, p < 0.05) in the RUG group. While significant U-shaped correlations were observed between the body fat and ferritin levels in both groups, the correlations between the hepcidin levels and fat mass index were significantly higher in the RUG group (RUG: r = 0.79, controls: r = 0.45). Notably, the RUG with the lower fat mass index group had a higher hepcidin-25 level, lower ferritin level, and then significantly higher hepcidin-25/ferritin ratio. The hepcidin-25/ferritin ratio may serve as a biomarker for iron status in RUG, especially RUG with lower fat mass.

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A Comparison of an Alternative Weight-Grading Model Against Chronological Age Group Model for the Grouping of Schoolboy Male Rugby Players

Frontiers in Physiology ◽

10.3389/fphys.2021.670720 ◽

2021 ◽

Vol 12 ◽

Author(s):

Grégory Lentin ◽

Sean Cumming ◽

Julien Piscione ◽

Patrick Pezery ◽

Moez Bouchouicha ◽

...

Keyword(s):

Body Composition ◽

Body Fat ◽

Fat Mass ◽

The Body ◽

Fat Free Mass ◽

Group Model ◽

Body Fat Mass ◽

Grading Model ◽

Rugby Players ◽

Weight Model

ObjectivesConcerns regarding marked differences in the weights and body composition of young rugby players competing within the same age groups have led to the suggestion of alternative models for grouping young players. The aims of this study were (1) to compare variance in the body size and body composition of schoolboy rugby players (9 to 14 years), across weight- and age-grading models, and (2) to identify morphotypes for the weight model using Hattori’s body composition chart.Materials and MethodsSkinfold thickness measurements were used to assess body fat mass (BF), fat-free mass (FFM), body fat mass index (BFMI), and fat-free mass index (FFMI). Standardized measure of height and weight were taken for all participants. Data were grouped according to the age categories of the French Rugby Federation (U11: Under 11 years, U13: Under 13 years, and U15: Under 15 years), and to the weight categories (W30–44.9; W45–59.9; and W60–79.9) carried out from 25th and 75th weight percentile in each age category. Body mass index status (NW normal-weight versus OW/OB overweight/obese) was considered. Extreme morphotypes are characterized from BFMI and FFMI in the weight-grading model on Hattori’s body composition chart.ResultsThe dispersion of anthropometric characteristics decreased significantly for the weight model, except for height in all groups and BFMI for U13. Among NW, 3, 1.8, and 0% upgraded; 18.2, 68.7, and 45.5% downgraded; among OW, 50, 21.5, and 12.5%; and among OB, 91.3, 83.3, and 74.6% upgraded, respectively, in U11, U13, U15. FFMI/BFMI were correlated in U11 (r = 0.80, p < 0.001), U13 (r = 0.66, p < 0.001), and U15 (r = 0.77, p < 0.001). There was no significant correlation in W45–59.9 and low correlations in W30–44.9 (r = 0.25, p < 0.001) and W60–79.9 (r = 0.29, p < 0.001). Significant grading difference between the centroids (p < 0.05) and the distribution deviates from centroids of BFMI and FFMI (p < 0.0001) were noted between the two models. Thirteen players were located in adipo-slender, twenty-three in adipo-solid, twenty-two in lean-slender, and two located in the lean-solid morphotype in weight model.ConclusionA weight-grading model should be considered to limit mismatches in anthropometric variables. However, variations of body composition also persisted for this model. Hattori’s body composition chart allowed more detailed examination of morphological atypicalities among schoolboy rugby players.

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Correlation of body fat percentage, fat mass index, and fat-free mass index with cardiovascular parameters in non-obese young adults

National Journal of Physiology Pharmacy and Pharmacology ◽

10.5455/njppp.2021.11.08274202111082021 ◽

2021 ◽

pp. 1

Author(s):

Aparajita Priyadarshini ◽

Snigdha Mishra ◽

Pradip Behera

Keyword(s):

Young Adults ◽

Body Fat ◽

Fat Mass ◽

Fat Free Mass ◽

Body Fat Percentage ◽

Fat Percentage ◽

Fat Mass Index ◽

Cardiovascular Parameters

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Seasonal and Longitudinal Changes in Body Composition by Sport-Position in NCAA Division I Basketball Athletes

Sports ◽

10.3390/sports6030085 ◽

2018 ◽

Vol 6 (3) ◽

pp. 85 ◽

Cited By ~ 5

Author(s):

Jennifer Fields ◽

Justin Merrigan ◽

Jason White ◽

Margaret Jones

Keyword(s):

Body Composition ◽

Body Mass ◽

Body Fat ◽

Fat Mass ◽

Ncaa Division I ◽

The Body ◽

Fat Free Mass ◽

Strength And Conditioning ◽

Air Displacement Plethysmography ◽

Within Subjects

The purpose of this study was to assess the body composition of male and female basketball athletes (n = 323) across season, year, and sport-position using air displacement plethysmography. An independent sample t-test assessed sport-position differences. An analysis of variance was used to assess within-subjects across season (pre-season, in-season, and off-season), and academic year (freshman, sophomore, and junior). For both men and women basketball (MBB, WBB) athletes, guards had the lowest body fat, fat mass, fat free mass, and body mass. No seasonal differences were observed in MBB, but following in-season play for WBB, a reduction of (p = 0.03) in fat free mass (FFM) was observed. Across years, MBB showed an increase in FFM from freshman to sophomore year, yet remained unchanged through junior year. For WBB across years, no differences occurred for body mass (BM), body fat (BF%), and fat mass (FM), yet FFM increased from sophomore to junior year (p = 0.009). Sport-position differences exist in MBB and WBB: Guards were found to be smaller and leaner than forwards. Due to the importance of body composition (BC) on athletic performance, along with seasonal and longitudinal shifts in BC, strength and conditioning practitioners should periodically assess athletes BC to ensure preservation of FFM. Training and nutrition programming can then be adjusted in response to changes in BC.

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Prevalence of obesity using the body mass index and equivalent age- and sex-specific thresholds for percentage body fat mass

Obesity Research & Clinical Practice ◽

10.1016/j.orcp.2013.12.668 ◽

2013 ◽

Vol 7 ◽

pp. e93

Author(s):

Julie A. Pasco ◽

Haslinda Gould ◽

Kara L. Holloway ◽

Amelia G. Dobbins ◽

Mark A. Kotowicz ◽

...

Keyword(s):

Body Mass Index ◽

Body Mass ◽

Body Fat ◽

Fat Mass ◽

The Body ◽

Body Fat Mass ◽

Percentage Body Fat ◽

Equivalent Age ◽

Prevalence Of Obesity ◽

Age And Sex

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Fitness and body composition profiling of elite junior South African rugby players

South African Journal of Sports Medicine ◽

10.17159/2413-3108/2006/v18i2a242 ◽

2009 ◽

Vol 18 (2) ◽

pp. 38 ◽

Cited By ~ 8

Author(s):

J Durandt ◽

S Du Toit ◽

J Borresen ◽

T Hew-Butler ◽

H Masimla ◽

...

Keyword(s):

Body Composition ◽

South African ◽

Body Fat ◽

Age Groups ◽

Rugby Union ◽

The Body ◽

Upper Body ◽

Cross Sectional ◽

Sprinting Speed ◽

Rugby Players

Objective. The aim of this study was to describe the body composition, strength and speed characteristics of elite junior South African rugby players. Design. Cross-sectional. Setting. Field study. Subjects. Rugby players (16 and 18 years old, N = 174) selected for the South African Rugby Union National Green Squad. Outcome measures. Body composition, 10 m and 40 m speed, agility, 1RM bench press, underhand pull-ups, push-ups, multistage shuttle run. Results. The under-16 players were on average shorter (175.6 ± 5.7 v. 179.2 ± 6.7 cm), weighed less (76.5 ± 8.2 v. 84.8 ± 8.3 kg) had less upper body absolute strength (77.1 ± 11.8 kg v. 95.3 ± 16.7 kg) and muscular endurance (41 ± 12 v. 52 ± 15 push-ups) and aerobic fitness (87.1 ± 19.4 v. 93.5 ± 15.3 shuttles) than the under-18 players. There were no differences in body fat, sprinting speed (10 m and 40 m) or agility between the two age groups. There were differences between playing positions, with the props having the most body fat, strongest upper bodies, slowest sprinting speed, least agility and lowest aerobic capacity compared with players in the other positions. Conclusion. This study provides data for elite junior rugby players and can be used to monitor the progression of players after intervention while also assisting with talent identification for the different playing positions. South African Journal of Sports Medicine Vol. 18 (2) 2006: pp. 38-45

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Changes in Body Fat Distribution in Antiretroviral-Naive HIV-Positive Individuals Initiating Current ART Regimens

The Journal of Clinical Endocrinology & Metabolism ◽

10.1210/jc.2018-01489 ◽

2018 ◽

Vol 104 (3) ◽

pp. 900-905 ◽

Cited By ~ 1

Author(s):

Juan Tiraboschi ◽

Antonio Navarro-Alcaraz ◽

Dolors Giralt ◽

Carmen Gomez-Vaquero ◽

Maria Saumoy ◽

...

Keyword(s):

Body Mass ◽

Body Fat ◽

Fat Mass ◽

Fat Distribution ◽

Body Fat Distribution ◽

The Body ◽

Strand Transfer ◽

Mass Ratio ◽

Total Fat ◽

Fat Mass Ratio

Abstract Objectives To describe the changes in body fat distribution (BFD) occurring over 60 months in a group of antiretroviral therapy (ART)-naive individuals starting different antiretroviral regimens. Methods A prospective ongoing fat change assessment including clinical evaluation and dual X-ray absorptiometry scan is being conducted in all consecutive patients initiating ART from January 2008. Arm, leg, trunk, and total fat as well as fat mass ratio were determined. Results A total of 146 patients were included (80% male, 40% MSM). Mean age was 44 years, HIV-1 RNA was 4.98 log10 copies/mL, and CD4 count was 254 cells/μL. The most common initial antiretroviral combination included non-nucleoside reverse transcription inhibitor (NNRTI) drugs followed by protease inhibitor (PI) and integrase strand transfer inhibitor (INSTI)-based regimens. At month 36, an increase was seen in the body mass index (BMI), total fat, trunk fat, and limb fat. The fat mass ratio (FMR) also showed a significant increase in both men and women (P = 0.001). In patients receiving NNRTI- or INSTI-based regimens (but not PIs), there was a marginal but statistically significant increase in the FMR (0.10 and 0.07, respectively; P = 0.01). Sixty-two subjects completed 60 months of follow-up. FMR showed a significant increase even in the PI group at this time point (P < 0.03). Conclusions We observed a significant increase in the fat and lean body mass in all compartments and treatment groups over 36 and 60 months. Clinically irrelevant differences were found in fat distribution regardless of the treatment group and baseline characteristics. The data suggest that current antiretroviral regimens have little impact on BFD during the first years of treatment.

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Prevalence of Obesity and the Relationship between the Body Mass Index and Body Fat: Cross-Sectional, Population-Based Data

PLoS ONE ◽

10.1371/journal.pone.0029580 ◽

2012 ◽

Vol 7 (1) ◽

pp. e29580 ◽

Cited By ~ 72

Author(s):

Julie A. Pasco ◽

Geoffrey C. Nicholson ◽

Sharon L. Brennan ◽

Mark A. Kotowicz

Keyword(s):

Body Mass Index ◽

Body Mass ◽

Body Fat ◽

Population Based ◽

The Body ◽

Cross Sectional ◽

Prevalence Of Obesity ◽

The Relationship

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Prediction equations for the estimation of body composition in the elderly using anthropometric data

British Journal Of Nutrition ◽

10.1079/bjn19940189 ◽

1994 ◽

Vol 71 (6) ◽

pp. 823-833 ◽

Cited By ~ 49

Author(s):

Marjolein Visser ◽

Ellen Van Den Heuvel ◽

Paul Deurenberg

Keyword(s):

Body Composition ◽

Body Fat ◽

The Elderly ◽

The Body ◽

Elderly Subjects ◽

Body Density ◽

Prediction Equations ◽

Anthropometric Data ◽

Percentage Body Fat ◽

The Relationship

To study the relationship between health and nutritional status in elderly populations, information about body composition is essential. To collect this information in large epidemiological studies, practical methods based on anthropometric data must be available. In the present study the relationship between body composition, determined by densitometry, and anthropometric data in 204 elderly men and women, aged 60–87 years, was analysed. Existing prediction equations described in the literature, and mainly based on young and middle-aged subjects, generally underestimated percentage body fat in the elderly study population. Therefore, new prediction equations were developed, based on sex and the sum of two (biceps and triceps) or four (biceps, triceps, suprailiaca and subscapula) skinfolds or the body mass index (BMI). Addition of age or body circumferences to the models did not improve the prediction of body density. Internal cross validation and external validation revealed that the formulas are valid for the estimation of body density in elderly subjects. The standard errors of estimate of the three models, expressed as percentage body fat, were 5.6, 5.4 and 4.8% respectively.

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