scholarly journals Body Composition in Elite Soccer Players from Youth to Senior Squad

Author(s):  
Marijan Spehnjak ◽  
Marko Gušić ◽  
Slavko Molnar ◽  
Mario Baić ◽  
Slobodan Andrašić ◽  
...  

There is a strong relationship between body composition and performance in male soccer players. This study aimed to display an optimal body height and weight, and body composition profile of male soccer players for four competitive age groups. This cross-sectional study included four groups: U-15 (n = 152), U-17 (n = 154), U-19 (n = 61), and seniors (n = 27). Body height and weight were measured under standard conditions, and the bioelectrical impedance analyzer (BIA) analyzed body composition. On average, soccer players in the U-15 group had significantly lower body height, weight, body mass index, skeletal muscle mass, fat-free mass, total body water and basal metabolic rate than U-17, U-19 and seniors, but a higher percentage of body fat than U-17 and U-19, p < 0.05. In addition, the results show significant non-linear increases in body height, weight and body composition as the age of soccer players increases, with the exception of the percentage of body fat mass, which tends to significantly decrease with age. The main findings of this study are that body fat mass remains stable and similar across all age groups, including in the senior squad.

2018 ◽  
Vol 62 (1) ◽  
pp. 177-184 ◽  
Author(s):  
Adam Lee Owen ◽  
Carlos Lago-Peñas ◽  
Gordon Dunlop ◽  
Rouissi Mehdi ◽  
Moktar Chtara ◽  
...  

AbstractThe primary aim of the investigation was to study the seasonal changes in body composition in elite European soccer players and identify key playing positional differences. Twenty-two players (age = 24 ± 3.7 years, body height = 180.45 ± 5.12 cm, body mass = 76.66 ± 5.34 kg) were tested. Players’ mass (kg), lean body mass (LBM), fat free mass (FFM), fat mass (FM), muscle girths (MG) and sum of 8 skinfolds (mm) were measured across 5 time points (T0 = Start of pre-season training; T1 = End of pre-season training; T2 = Mid-season; T3 = End of mid-season break; T4 = End of season). Players were divided into their tactical positional roles for analysis. The specific positions they were divided into included defenders (n = 8), midfielders (n = 8) and forwards (n = 6). Assessment of training and matchplay exposure were also recorded. Sites-4, Sites-7, Sites-8 and Fat Mass decreased dramatically from T0 to T1 and T2 in all playing positions (p < 0.01), while no remarkable differences were found between T2, T3 and T4. Except for defenders, calf girth and lean mass were higher in T2, T3 and T4 compared to T0 and T1 (p < 0.01). Midfielders were found to be leaner than forwards and defenders in all data collection time point sessions. Defenders showed higher values in calf girth and lean body mass than midfielders and forwards. It can be concluded from this investigation that there are large variances n positional body composition profiles amongst professional European soccer players. Furthermore, significant changes are prevalent and occur across the season from LBM, FFM, MG and skinfold assessment amongst European elite level soccer players.


2011 ◽  
Vol 107 (7) ◽  
pp. 1085-1091 ◽  
Author(s):  
Andrew S. Jackson ◽  
Ian Janssen ◽  
Xuemei Sui ◽  
Timothy S. Church ◽  
Steven N. Blair

Obesity and sarcopenia are health problems associated with ageing. The present study modelled the longitudinal changes in body composition of healthy men, aged from 20 to 96 years, and evaluated the fidelity of BMI to identify age-dependent changes in fat mass and fat-free mass. The data from 7265 men with multiple body composition determinations (total observations 38 328) were used to model the age-related changes in body mass, fat mass, fat-free mass, BMI and percentage of body fat. Changes in fat mass and fat-free mass were used to evaluate the fidelity of BMI and to detect body composition changes with ageing. Linear mixed regression models showed that all trajectories of body composition with healthy ageing were quadratic. Fat mass, BMI and percentage of body fat increased from age 20 years and levelled off at approximately 80 years. Fat-free mass increased slightly from age 20 to 47 years and then declined at a non-linear rate with ageing. Levels of aerobic exercise had a positive influence on fat mass and a slight negative effect on fat-free mass. BMI and percentage of body fat were sensitive in detecting the increase in fat mass that occurred with healthy ageing, but failed to identify the loss of fat-free mass that started at age 47 years.


2020 ◽  
Vol 32 (1) ◽  
Author(s):  
Sacha Clael Rodrigues Rêgo ◽  
Samuel da Silva Aguiar ◽  
Filipe Manuel Clemente ◽  
Ricardo Franco Lima ◽  
Gustavo De Conti Teixeira Costa ◽  
...  

The present study aimed to check if there is an association between fitness performance variables and to analyze the variation of fitness levels between playing positions university soccer players. Twenty university soccer players were selected (20.95 ± 1.84 years; 71.60 ± 11.65 kg; 176.85 ± 7.28 m) divided into defenders, midfielders and attackers. Body composition was assessed in a cross-sectional analysis that correlated fat mass, lean mass and fat-free mass by DXA with the physical capacity tests. The main results of the present study revealed that both 10-m and 20-m accelerations had moderate-to-large correlations with agility tests across the playing positions, however these accelerations were largely inversely correlated with YoYo intermittent recovery test in defenders and largely positively in midfielders. The agility test was moderately correlated with YoYo intermittent recovery test across the different playing positions. In conclusion, there the acceleration and the agility had a positive association with the different positions of the soccer players.


Author(s):  
Eliška Štefanová ◽  
Peter Bakalár ◽  
Tibor Baška

Eating disorders (EDs) represent a disparate group of mental health problems that significantly impair physical health or psychosocial functioning. The aim of this study was to present some evidence about the prevalence of eating-disordered behavior (EDB) in adolescents, and explore its associations with body image (BI), body composition (BC) and physical activity (PA) in this age group. Data from 780 adolescents participating in a health behavior in school-aged children (HBSC) study conducted in Slovakia in 2018 were used (mean age 13.5 ± 1.3; 56% boys). Differences in mean values of numerical indicators were evaluated using the independent samples t-test. Differences between nominal variables were assessed by the chi-square test. Pearson correlation was used to describe the associations between all the selected variables. EDB was positively screened in 26.7% (208/780) of adolescents, with a higher prevalence in girls (128/344, 37.2%) than in boys (80/436, 18.3%). Significantly higher means of BI, body weight (BW), body mass index (BMI), body fat mass (BFM), body fat percentage (BFP), body fat mass index (BFMI), fat free mass index (FFMI), and SCOFF questionnaire score (SCOFF QS) were found in those positively screened for EDB. Pearson correlation analysis revealed positive associations between EDB and BI, BW, BMI, BFM, BFP and BFMI. The prevalence of EDB is high in Slovak adolescents. Positive associations between EDB, BI, BMI and fat-related body composition parameters support the idea of a more integrated approach in EDs and obesity prevention and treatment. At the same time, gender differences suggest the need for considering gender-specific strategies aimed at girls and boys separately.


Author(s):  
César Leão ◽  
Miguel Camões ◽  
Filipe Manuel Clemente ◽  
Pantelis Theo Nikolaidis ◽  
Ricardo Lima ◽  
...  

The aim of the present study was (a) to describe the anthropometric profile of a large group of soccer players based on different age groups and their playing positions on the field, and (b) to examine the variations of body composition among adult soccer players using diverse equations based on skinfold thickness. A total of 618 Greek soccer players who were grouped by age (i.e., 12–14, 14–16, 16–18, and 18–37 years) and playing position (i.e., goalkeeper, defender, midfielder, and forward) were evaluated for weight, height, and skinfolds. The Pařízková formula was used to estimate the percentage of body fat. Furthermore, for players who were 18 years or older the Reilly and Evans formulas was used to estimate the percentage of body fat. Independent of the age, in this large sample, goalkeepers presented higher values for weight, height and the percentage of body fat estimation as compared with other field positions. An anthropometric pattern was observed in each tactical position, namely, across a specific age of increasing maturation process (14–16 years). With the Pařízková formula, we found a mean (SD) range of variation in the percentage of body fat estimation between 4.87 ± 1.46 and 5.51 ± 1.46 as compared with the Evans formula. The same pattern of differences was found when the Reilly equation was considered. In conclusion, we observed a position specificity of anthropometric characteristics across different age categories. Additionally, the same data supported different validated equations which resulted in large differences in the final outcome estimations.


2018 ◽  
Vol 16 (1) ◽  
pp. 047
Author(s):  
Predrag Bićanin ◽  
Saša Milenković ◽  
Dragan Radovanović ◽  
Aco Gajević ◽  
Jelena Ivanović

This research included a sample of 79 pre-school boys aged 6 and 7 with 40 of them in the experimental group and 39 in the control group. Their current state of body composition was studied, as well as their relations after a 6-month fitness treatment that the experimental group of participants was involved in, in order to analyze its effects. The experimental group had two classes per week, in addition to regular programmed activities as part of the children’s sport school (three times per week), and as part of 48 of additional, six-month training lessons of exercising in sport (fitness) clubs. The following variables have been used to evaluate body composition with the application of bio-electric impedance In Body 230 such as: muscle mass, percentage of muscle mass, body fat mass, percentage of body fat mass, fat free mass, percentage of fat free mass. Although small to moderate effects were obtained by the double mixed ANOVA, the results show the experimental group’s achievements as significantly higher than those of the control group. Furthermore, with individual eta coefficient findings in comparison with each group measurements, it is clear that the value of the obtained effects is different between groups to the benefit of the experimental group. Permanent implementation of the proposed programme could contribute to an improvement on the studied body composition variables which can result in the better health status of children in future.    


2008 ◽  
Vol 11 (9) ◽  
pp. 905-913 ◽  
Author(s):  
G Turconi ◽  
L Maccarini ◽  
R Bazzano ◽  
C Roggi

AbstractObjectiveThe aim of the present study was to investigate blood pressure (BP) levels and their relationship with different indices of body fat in a group of adolescents, in order to evaluate the prevalence of hypertension and plan preventive and corrective strategies.DesignCross-sectional study in primary care.SettingAll high schools in the Aosta Valley region, northern Italy.SubjectsFive hundred and thirty-two adolescents of both sexes, aged 15·4 (standard deviation 0·7) years. The following parameters were measured: body weight, body height, body mass index (BMI), four skinfold thicknesses, body fat mass, waist and hip circumferences and BP.ResultsBMI data indicated a high prevalence of overweight subjects in both sexes, but higher in males, while the prevalence rate of obese adolescents was lower. Of the total, 11·8 % of subjects suffered from systolic hypertension, while 6·9 % suffered from diastolic hypertension. In linear correlation analysis, BMI and all adiposity indices, except waist:hip ratio, were found to be significantly associated (P ranging between 0·05 and 0·001) with both systolic BP and diastolic BP in both sexes, with r ranging between 0·152 and 0·359. Multiple regression analysis with the stepwise method showed BMI and body fat mass to have the strongest association (P < 0·001) with BP, with r ranging between 0·275 and 0·359.ConclusionUnless reversed, these conditions are worrying and predict the possible development of cardiovascular disease in adulthood. There is a pressing need to develop a comprehensive medical and nutrition plan, together with preventive and corrective strategies, in school programmes.


2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 519.2-520
Author(s):  
O. Lamkhanat ◽  
H. Azzouzi ◽  
I. Linda

Background:Rheumatoid arthritis (RA) and body composition are closely related. Recent studies have found a significant association between fat mass and disease activity and disability in RA [1].Objectives:We aimed to study the association between body fat mass and its distribution with disease activity, disability, and pain in RA patients.Methods:This is a cross-sectional study of patients with RA diagnosis according to ACR-EULAR 2010 classification recruited from first January 2021. Those with prior cancer, hyperparathyroidism, hyperthyroidism, diabetes, chronic kidney disease, and cirrhosis were excluded. Body fat mass (BFM) and its distribution (gynoid (GFM), android (AFM), visceral (VFM), limbs (LFM), trunk (TFM)) were measured with dual-energy X-ray absorptiometry (Hologic, Horizon QDR®). Clinical data and laboratory tests of the same day of the DXA scan were analyzed. The associations between BFM and its distribution with disease activity score (DAS28CRP), pain visual analogue scale (VAS), and disability measured by health assessment questionnaire (HAQ) were explored. Obesity was defined as a body mass index (BMI) ≥ of 25kg/m2. Our statistical analysis was based on descriptive study, comparisons and linear regressions using SPSS 20.Results:It is about 69 RA patients. Their mean age was 49.86 ± 14.33 years, mean DAS28CRP was 2.56 ± 1.27, and mean disease duration was 14.84 ± 10.99 years. Sixty-two (89.9%) were women. The mean BMI was 26.46 ± 5.26 kg/m2, and 41 patients were obese (59.4%). Compared with non-obese patients, obese patients had a higher C-reactive protein (p = 0.03). DAS28CRP was higher in obese patients (2.77 ± 1.41 vs 2.25 ± 0.97) but did not reach significance (p = 0.07). We did not find any difference between the two groups regarding pain and disability. In univariate regression analysis, the LFM was positively associated with disease activity (p = 0.001; β = 0.38), pain (p = 0.001; β = 0.38) and disability (p = 0.007; β = 0.32). Adjusted on BMI, LDL cholesterol, triglyceride, cumulative dose of corticosteroid, disease and corticosteroid duration, menopause duration, dose and duration of methotrexate, we found a significant association between LFM, disability (p = 0.02; β = 0.51), disease activity (p = 0.02; β = 0.54) and pain (p = 0.009; β = 0.57). However, we had no association between disease activity, pain, and disability with BFM and the other components.Conclusion:Limbs fat mass was significantly associated with the activity, disability, and pain in RA patients.References:[1]Kyeong Min Son, Seong Hun Kang, Young Il Seo, Hyun Ah Kim. Association of body composition with disease activity and disability in rheumatoid arthritis. Korean J Intern Med. 2021 Jan;36(1):214-222.Disclosure of Interests:None declared


2005 ◽  
Vol 93 (1) ◽  
pp. 101-107 ◽  
Author(s):  
R. Khongsdier

This paper deals with BMI and morbidity in relation to body-fat mass (BFM) and fat-free mass (FFM). The analysis was based on cross-sectional data concerning the age, household income, anthropometry and morbidity of 575 males aged 18–59 years from a rural community in North-East India. Data on morbidity were based on the self-reported morbidity (SRM) of the subjects during the last 4 weeks before the survey, whereas data on BMI and body composition were estimated from anthropometry. It was found that SRM was significantly associated with age and income. However, the relationship between BMI and SRM was not significant after adjusting for age and income. Separating the BMI into body-fat mass index (BFMI being BFM in kg divided by height squared in metres) and fat-free mass index (FFMI being FFM in kg divided by height squared in metres), it was found that BFMI was significantly associated with SRM after adjusting for age, income and FFMI. The subjects with a low (<2·9 kg/m2) BFMI were about 4·7 times (odds ratio 4·7, 95 % CI 2·6, 8·6) more likely to become sick than those with a normal (2·9–5·0 kg/m2) BFMI. In addition, the risk of becoming sick was higher in the subjects with a high (>5·0 kg/m2) BFMI than in those with a normal BFMI (odds ratio 3·9, 95 % CI 1·3, 9·8). However, the relationship between FFMI and morbidity was not clearly perceptible. It is therefore speculated that BMI may not always provide accurate information about the variation in body fat and body composition that is associated with morbidity.


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