Summary — Nutritional Assessment of Athletes

Driskell, Judy A.; Wolinsky, Ira

doi:10.1201/9781420041323.ch16

Cited by 10 publications

(20 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Acknowledging the impact that the manipulation of body composition has on athletic performance, ideally it should take place as soon as possible in the sports season, before the competitive period [ 16 ]. Therefore, it is a common practice to assess body composition early in the season and later on in response to training and dietary interventions [ 8 , 17 ], expecting a change in body weight and especially in fat mass [ 18 ]. Obtaining a type-specific body composition is directly associated with individual performance, and it is currently recognized as a significant challenge to individualize and periodize the athlete’s development process [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

“…The choice of method should consider several factors, including technical issues, such as security, validity, evaluation of precision and reliability. Additionally, there are other factors to consider, in particular practical factors such as availability, financial implications, portability, invasion of privacy, time availability and technical expertise to conduct the method [ 17 , 21 ]. All available techniques have some inherent advantages and disadvantages, either in methodology, interpretation of data or the assumptions that are made from the same.…”

Section: Introductionmentioning

confidence: 99%

“…Currently, the most accepted method for evaluating healthy adults is dual-energy X-ray absorptiometry (DXA) [ 21 ], but it is considered costly or inaccessible for most teams, especially young teams [ 24 ]. On the other hand, bioelectrical impedance (BIA) has become increasingly popular as an analysis tool of body composition due to its ease of use, portability and low cost [ 17 ].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Body Composition Evaluation Issue among Young Elite Football Players: DXA Assessment

Leão

Simões

Silva

et al. 2017

Sports

View full text Add to dashboard Cite

Accurate assessment of body composition is an important issue among athletes. Different methodologies generate controversial results, leading to a deep uncertainty on individual exercise prescriptions. Thus, this study aims to identify the differences between field methods, such as bioelectrical impedance (BIA) and skinfold assessment, with a clinical method, highly accurate, dual-energy X-ray absorptiometry (DXA), among elite young football players. Thirty-eight male football players with a mean (sd) age of 16.7 (0.87) years, involved in the Portuguese national competition of U16 (n = 13) and U19 (n = 25), were evaluated and objective measures of body composition, muscle strength and football skills were collected by trained specialists. Body composition was assessed using BIA (Tanita BC-418, Tanita Corp., Tokyo, Japan), in agreement with all the evaluation premises. Additionally, all athletes were evaluated using the clinical method DXA (Hologic Inc., Waltham, MA, USA). Among the U19 athletes, three skinfold sites (SKF) were assessed: chest, abdomin and thigh. The Spearman correlation coefficients and the mean difference between methods were calculated. The agreement between both methods was analyzed using Bland-Altman plots. Among the evaluated athletes, lower mean values of body fat % were found using BIA as a method of body composition assessment compared with DXA (12.05 vs. 15.58 for U16; 11.97 vs. 14.16 for U19). Despite the moderate correlation between methods (r = 0.33) to estimate the percentage of total fat, the median of the difference (DXA vs. BIA) was relevant in clinical terms, with 2.90% and 1.47% for U16 and U19 athletes, respectively. Stronger correlations were found between the sum of the SKF and DXA fat estimation (r = 0.68). The Bland-Altman plots showed a clear underestimation in the evaluations using the BIA, namely among athletes with better body composition profiles (8%–12% of fat). Using BIA, an underestimation of body fat assessment was observed among 94.5% of the athletes with less than 12% body fat mass. Among the evaluated athletes, fat mass was underestimated at a median value of 2.21% using BIA in comparison with DXA. The sum of the SKF showed a stronger correlation with the reference method (DXA) (r = 0.68) than BIA.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Body Composition Evaluation Issue among Young Elite Football Players: DXA Assessment

Leão

Simões

Silva

et al. 2017

Sports

View full text Add to dashboard Cite

show abstract

“…Asupan zat gizi yang cukup akan menunjang pertumbuhan fisik yang maksimal, sehingga tubuh akan mencapai bentuk yang paling optimal (Driskell & Wolinsky, 2011).…”

Section: Hasil Dan Pembahasanunclassified

“…Konsumsi makanan yang berenergi tinggi pada atlet baik untuk kebugaran, performa, dan kesehatan. Atlet yang mencukupi cadangan energi berupa energi yang terdapat dalam otot dan hati akan meningkatkan stamina sehingga tidak mudah mengalami kelelahan dan dapat mempertahankan daya tahan seorang atlet (Driskell & Wolinsky, 2011 Menurut hasil pengukuran somatotype pada penelitian ini diketahui bahwa sebagian besar somatotype pada atlet sepak bola belum sesuai dengan para pemain sepak bola pada umumnya. Rerata somatotype atlet sepak bola penelitian ini adalah 2,8-3,0-3,1 yang tergolong mesomorphic ectomorph dengan kecendurungan ectomorph yang lebih dominan dan mesomorph lebih besar dari endomorph.…”

Section: Hasil Dan Pembahasanunclassified

Hubungan somatotype dengan kesegaran jasmani atlet sepak bola

Anggitasari

Dieny

Candra

2019

View full text Add to dashboard Cite

Penelitian ini bertujuan untuk mengetahui hubungan somatotype dengan kesegaran jasmnai atlet sepak bola. Desain penelitian cross sectional dengan sampel sebanyak 42 subjek dipilih secara random sampling. Data somatotype didapatkan dari pengukuran antropometri terdiri dari berat badan, tinggi badan, trisep, suprailiaca, subscapular, calf skinfold, humerus width, fumerus width, dan flixed arm girth yang dihitung dengan metode antropometri Heath-Carter untuk menghasilkan skor somatotype yaitu endomorph, mesomorph, dan ectomorph. Data kesegaran jasmani diperoleh dengan tes ACSPFT (Asian Committee on the Standarization of Physical Fitness Test) terdiri dari tes kecepatan, daya ledak otot, ketangkasan, kelenturan, dan kekuatan. Data asupan zat gizi diperoleh dengan metode food recall 3x24 jam. Data dianalisis menggunakan uji chi-square dan kolmogorov-smirnov. Dari semua subjek diperoleh 19% memiliki tipe tubuh endomorph, 26.2% mesomorph, dan 54.8% ectomorph. Secara keseluruhan subjek memiliki kesegaran jasmani 73.8% baik, 21.4% sedang, dan 4.8 % kurang. Ada hubungan somatotype dengan kecepatan (p=0,034), daya ledak otot (p=0.0001), ketangkasan (p=0.0001), kelenturan (p=0.041), kekuatan (p=0.003) dan kesegaran jasmani (p=0.045). Tipe ectomorph dan dan mesomorph memiliki komponen kesegaran jasmani lebih baik dibandingkan tipe endomorph. Asupan energi (p=0.035) dan somatotype (p=0.045) merupakan variabel yang paling berpengaruh terhadap kesegaran jasmani Correlation of Somatotype with Physical Fitness of Football AthletesAbstractThe aim of this study is to analyze the correlation of somatotype with physical fitness in football athletes. A cross sectional study with 42 subjects was selected by random sampling. Somatotype assessed with anthropometric measurements consists of weight, height, tricep, suprailiaca, subscapular, skinfold calf, humerus width, fumerus width, flixed arm girth. The somatotype components were calculating Heath-Carter anthropometric method to obtained somatotype score endomorph, mesomorph, and ectomorph. Physical fitness were obtained by the ACSPFT (Asian Committee on the Standarization of Physical Fitness Test) consists of speed, muscular explosive power, agility, flexibility, and strength. Data of nutrient intake were obtained by food recall method 3x24 hours. Data analyzed by chi-square and kolmogorov-smirnov test. Subjects were 19% endomorph, 26.2% mesomorph, and 54.8% ectomorph. Overall subjects had a good physical fitness 73.8%, 21.4% moderate, and 4.8% less. There were various somatotype correlation with speed (p=0.034), muscle explosive power (p=0.0001), agility (p=0.0001), flexibility (p=0.041), strength (p=0.003) and physical fitness (p=0.045). The ectomorph and mesomorph types had better physical fitness components than the endomorph type. Energy intake (p=0.035) and somatotype (p=0.045) were the most influential variables on physical fitness.

show abstract

Body adiposity index to analyze the percentage of fat in young men aged between 7 and 17 years

et al. 2021

View full text Add to dashboard Cite

Background The body adiposity index (BAI), uses anthropometry to estimate percent body fat (%F). However, previous studies have shown that the BAI has limited accuracy for children and adolescents. Objective We propose to develop and validate an adjusted BAI for use in male children and adolescents from 7 to 17 years of age. Methods The sample consisted of 141 physically active male children and adolescents (age: 12.5 ± 2.14). The %F was determined by X‐ray dual energy absorptometry equipment (DXA) as the standard method and by BAI, using an equation that uses height and hip circumference. Arithmetic modeling was used to adjust the structure of the BAI mathematical model. Results The BAI arithmetic adjustment was successful, resulting in the mathematical model named in the present study of adjusted body adiposity index (BAIADJ). BAI and BAIADJ correlated with DXA (r ≤ .70, p < .001). Regression analyzes indicate that, BAI (CI 95% β: [1.35; 1.90], p < .0001) and BAIADJ (CI 95% β: [1.40; 1.90], p < .0001) have the potential to estimate %F. BAI pointed out a difference in relation to DXA (p = .04). While there was no difference between BAIADJ and DXA (p = .1). There was a proportion bias of 13.2% for BAI (p < .05), but not for BAIADJ (p > .05). Conclusion The adjusted model of the body adiposity index proves to be an effective tool for the analysis of the fat percentage in young males. In addition, it demonstrated significant degrees of agreement and validity in relation to DXA.

show abstract

Summary — Nutritional Assessment of Athletes

Cited by 10 publications

References 6 publications

Body Composition Evaluation Issue among Young Elite Football Players: DXA Assessment

Body Composition Evaluation Issue among Young Elite Football Players: DXA Assessment

Hubungan somatotype dengan kesegaran jasmani atlet sepak bola

Body adiposity index to analyze the percentage of fat in young men aged between 7 and 17 years

Contact Info

Product

Resources

About