scholarly journals Ultrasound Techniques Applied to Body Fat Measurement in Male and Female Athletes

2009 ◽  
Vol 44 (2) ◽  
pp. 142-147 ◽  
Author(s):  
Jean-Claude Pineau ◽  
Jean Robert Filliard ◽  
Michel Bocquet
Keyword(s):  
Body Fat ◽  
Standard Error ◽  
Cross Validation ◽  
Female Athletes ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Ultrasound Technique ◽  
Weight Category ◽  
Portable Ultrasound ◽  
Ultrasound Device

Abstract Context: For athletes in disciplines with weight categories, it is important to assess body composition and weight fluctuations. Objective: To evaluate the accuracy of measuring body fat percentage with a portable ultrasound device possessing high accuracy and reliability versus fan-beam, dual-energy X-ray absorptiometry (DEXA). Design: Cross-validation study. Setting: Research laboratory. Patients or Other Participants: A total of 93 athletes (24 women, 69 men), aged 23.5 ± 3.7 years, with body mass index  =  24.0 ± 4.2 and body fat percentage via DEXA  =  9.41 ± 8.1 participated. All participants were elite athletes selected from the Institut National des Sports et de l'Education Physique. These participants practiced a variety of weight-category sports. Main Outcome Measure(s): We measured body fat and body fat percentage using an ultrasound technique associated with anthropometric values and the DEXA reference technique. Cross-validation between the ultrasound technique and DEXA was then performed. Results: Ultrasound estimates of body fat percentage were correlated closely with those of DEXA in both females (r  =  0.97, standard error of the estimate  =  1.79) and males (r  =  0.98, standard error of the estimate  =  0.96). The ultrasound technique in both sexes had a low total error (0.93). The 95% limit of agreement was −0.06 ± 1.2 for all athletes and did not show an overprediction or underprediction bias. We developed a new model to produce body fat estimates with ultrasound and anthropometric dimensions. Conclusions: The limits of agreement with the ultrasound technique compared with DEXA measurements were very good. Consequently, the use of a portable ultrasound device produced accurate body fat and body fat percentage estimates in relation to the fan-beam DEXA technique.

scholarly journals Validity Of The Portable Ultrasound Device To Estimate Body Fat Percentage.

2020 ◽  
Vol 52 (7S) ◽  
pp. 875-875
Author(s):  
Yong Ik Kim ◽  
Seung Yun Shin ◽  
Seoung Ki Kang ◽  
Jae Hyung Lee ◽  
Byung Kwon Kim ◽  
...  
Keyword(s):  
Body Fat ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Portable Ultrasound ◽  
Ultrasound Device

Peak Fat Oxidation is not Independently Related to Ironman Performance in Women

2018 ◽  
Vol 39 (12) ◽  
pp. 916-923 ◽  
Author(s):  
Stine Vest ◽  
Jacob Frandsen ◽  
Steen Larsen ◽  
Flemming Dela ◽  
Jørn Helge
Keyword(s):  
Body Fat ◽  
Female Athletes ◽  
Fat Oxidation ◽  
Significant Variable ◽  
Body Fat Percentage ◽  
Regression Analyses ◽  
Simple Linear Regression ◽  
Fat Percentage ◽  
Race Time ◽  
Relative Exercise Intensity

AbstractThe aim of the present study was to investigate if peak fat oxidation rate (PFO) is related to Ironman performance in female athletes. Thirty-six female Ironman athletes (age: 34±1 yrs, [21–45 yrs.] SEM [Range]) with a BMI of 22.1±2.0 kg/m2 [18.8–28.4 kg/m2], a body fat percentage of 24.8±1.0% [9.0–37.0%] and a V̇O2peak of 53.0±1.3 ml/min/kg [36.5–70.5 ml/min/kg] were tested in the laboratory prior to the Ironman Copenhagen 2017. Race time ranged from 9:17:07 to 15:23:48 with mean race time being 11:57:26 h:min:s (717 min). By simple linear regression analyses we found associations between race time and P FO (r2=0.22, p<0.005), V̇O2peak (r2=0.65, p<0.0001) and the relative exercise intensity eliciting PFO (Fatmax) (r2=0.35, p=0.0001). Furthermore, associations were found between race time and body fat percentage (r2=0.44, p<0.0001) and age (r2=0.16, p<0.05). By means of multiple regression analysis, V̇O2peak was the only statistically significant variable explaining 64% of the variation in race time (adj. r2=0.64, p<0.005). In conclusion, these results demonstrate that PFO is not independently related to Ironman performance in a heterogeneous group of female athletes. Interestingly, V̇O2peak alone was able to predict 64% of the variation in Ironman race times.

scholarly journals Development and Cross-Validation of Anthropometric Predictive Equations to Estimate Total Body Fat Percentage in Adult Women in Sri Lanka

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Nirmala Rathnayake ◽  
Gayani Alwis ◽  
Janaka Lenora ◽  
Sarath Lekamwasam
Keyword(s):  
Body Fat ◽  
Cross Validation ◽  
Body Fat Percentage ◽  
Adult Women ◽  
Fat Percentage ◽  
Predictive Equations ◽  
Total Body Fat ◽  
Group A ◽  
Total Body ◽  
Group B

Attempts have been made to estimate body fat using anthropometry, and most of them are country-specific. This study was designed to develop and cross-validate anthropometric predictive equations to estimate the total body fat percentage (TBFP) of Sri Lankan adult women. A cross-sectional study was conducted in Galle, Sri Lanka, with two groups: Group A (group for equation development) and Group B (cross-validation group) (n = 175 each) of randomly selected healthy adult women aged 30–60 years. TBFP (%) was quantified with total body DXA (TBFPDXA). Height (m), weight (kg), and skinfold thickness (SFT, mm) at six sites and circumferences (cm) at five sites were measured. In the first step, four anthropometric equations were developed based on the data obtained from multiple regression analyses (TBFPDXA = dependent variable and anthropometric measurements and age = independent variables) with Group A. They were developed on the basis of circumferences (TBFP1), SFTs (TBFP2), circumferences and SFTs (TBFP3), and highly significant circumferences and SFTs (r ≥ 0.6) (TBFP4). In the second step, the newly developed equations were cross-validated using Group B. Three equations (TBFP1, TBFP2, and TBFP4) showed the agreement with cross-validation criteria. There were no differences between TBFPDXA and TBFP estimated by these equations (p>0.05). They showed higher measurement concordance with TBFPDXA; correlation between measured TBFP with DXA and estimated with TBFP1, TBFP2, and TBFP4, respectively, was 0.80 (R2 = 0.65, SEE = 3.10), 0.83 (R2 = 0.69, SEE = 2.93), and 0.84 (R2 = 0.72, SEE = 2.78). Three anthropometric measurements based on predictive equations were developed and cross-validated to satisfactorily estimate the TBFP in adult women.

The Accuracy Of Selected Field Measures For Predicting Body Fat Percentage In Female Athletes

2011 ◽  
Vol 43 (Suppl 1) ◽  
pp. 874
Author(s):  
Aindrea McHugh ◽  
Michael R. Esco ◽  
Henry N. Williford ◽  
Angela R. Russell
Keyword(s):  
Body Fat ◽  
Female Athletes ◽  
Body Fat Percentage ◽  
Fat Percentage

scholarly journals Composição corporal e desempenho motor no handebol em cadeira de rodas

2017 ◽  
Vol 19 (2) ◽  
pp. 204 ◽  
Author(s):  
Mariane Borges ◽  
Anselmo Athayde Costa e Silva ◽  
Fernando Rosch de Faria ◽  
Priscila Samora Godoy ◽  
Ellen Rodrigues Barbosa Melo ◽  
...  
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
Motor Performance ◽  
Female Athletes ◽  
Skinfold Thickness ◽  
Functional Class ◽  
Composition Profile ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Male Athletes

DOI: http://dx.doi.org/10.5007/1980-0037.2017v19n2p204 The aim of this study was to verify the relationship between body composition and motor performance in Wheelchair Handball players (WH). Overall, 21 athletes composed the sample (13 males and 8 females). To analyze motor performance, the following tests were used: ball driving, block performance, 20 m velocity and zigzag agility for individuals on wheelchair. Body mass, height, body perimeter and skinfold thickness (tricipital, subescapular, bicipital and supra-iliac) were used to establish body composition profile. Data was presented through descriptive statistics and inference was performed by Spearmans’ and Kruskal-Wallis correlation coefficient (non-parametric). Therefore, strong and significant correlations between body composition and motor performance were detected within different functional class and also according to sex, whereas male athletes showed significant correlation between body fat percentage and agility (r=0.70, p≤0.01) and, in the case of female athletes, body fat percentage is strongly related with speed (r=0.81, p≤0.01) and agility (r=0.74, p≤0.05). As conclusion, it was verified that apparently, increased body fat in body composition profile negatively influences motor performance in wheelchair handball players.

Cross-validation of prediction equations for estimating the body fat percentage in adults with obesity

2020 ◽  
Author(s):  
Zeinab Amanda Jaafar ◽  
Dima Kreidieh ◽  
Leila Itani ◽  
Hana Tannir ◽  
Dana El Masri ◽  
...  
Keyword(s):  
Body Fat ◽  
Cross Validation ◽  
The Body ◽  
Body Fat Percentage ◽  
Prediction Equations ◽  
Fat Percentage

scholarly journals Validity of the Portable Ultrasound BodyMetrix™ BX-2000 for Measuring Body Fat Percentage

2020 ◽  
Vol 12 (21) ◽  
pp. 8786
Author(s):  
Seoungki Kang ◽  
Jeong-Hui Park ◽  
Myong-Won Seo ◽  
Hyun Chul Jung ◽  
Yong Ik Kim ◽  
...  
Keyword(s):  
Body Mass ◽  
Body Fat ◽  
Pearson Correlation ◽  
Body Height ◽  
Young Male ◽  
Body Fat Percentage ◽  
Equivalence Testing ◽  
Fat Percentage ◽  
Gold Standard Method ◽  
Portable Ultrasound

BodyMetrix™ BX-2000 (IntelaMetrix, Livermore, CA, USA) has been introduced as one of the alternatives and portable methods to estimate body fat percentage. However, inconsistent results between protocols built-in the BodymetrixTM may be compelling the question of its validity. Thus, this study first investigated the possible errors between protocols and evaluated the validity of body fat percentage (BF%) compared to the gold standard method (dual-energy X-ray absorptiometry, DEXA). One hundred and five collegiate males, aged 20.01 ± 2.11 years, body height, 174.81 ± 6.01 cm, body mass, 73.26 ± 13.60 kg, and body mass index, 23.91 ± 3.77 kg·m−2 participated in the present study. Participants’ body fat percentage was estimated by built-in nine different protocols in the BodyMetrix™ BX-2000 using A-MODE ultrasound. Pearson correlation (r), Mean absolute percentage errors (MAPEs), Bland & Altman plots, and Equivalence testing were used to examine the validity of each protocol by comparing it to the criterion measure (i.e., DEXA). The results indicated good potential for almost all of the protocols in correlation (Min: r = 0.79, Max: r = 0.92)., MAPEs (Min: 20.0%, Max: 33.8%), and Bland-Altman (Min diff: 16.7, Max diff: 41.4). Particularly, the estimated BF% from protocol 7 (4-sites by Durnin & Wormersley) and protocol 9 (9-sites Parllo) were completed within the equivalence zone (±10% of the mean). The estimates measured by protocol 7 and protocol 9 identified as the most valid methods for estimating BF% using a BodyMetrix™ BX-2000, compared to the DEXA. Our findings provide valuable information when applying in young male individuals, but future studies with other populations such as female or adolescents may be required to suggest a valid protocol within the instrument.

Body Composition of National Collegiate Athletic Association (NCAA) Division I Female Soccer Athletes through Competitive Seasons

2020 ◽  
Author(s):  
Erica Roelofs ◽  
April Bockin ◽  
Tyler Bosch ◽  
Jonathan Oliver ◽  
Christopher W. Bach ◽  
...  
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
Fat Mass ◽  
Lean Mass ◽  
National Collegiate Athletic Association ◽  
Female Athletes ◽  
Division I ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Total Fat

AbstractThe purpose of this study was to examine body composition of National Collegiate Athletic Association Division I female soccer players by position and season. One hundred seventy-five female athletes were categorized by positions of forward (n=47), midfielder (n=51), defender (n=57), and goalkeeper (n=20). A dual X-ray absorptiometry scan assessed percent body fat, total lean mass, total fat mass, arm and leg lean mass and fat mass, and visceral adipose tissue. Goalkeepers had significantly higher total, arm, and leg lean mass and fat mass compared to all other positions (p<0.05). For seasonal changes, body fat percentage was significantly higher in winter off-season (26.7%) compared to summer off-season (25.7%) and pre-season (25.8%; p<0.01) for all positions. Total and leg lean mass was significantly lower in winter off-season compared to all other seasons, and total lean mass was significantly higher in summer off-season than pre-season (p<0.01). Overall, goalkeepers were significantly different than all other positions. Body fat percentage increased and lean mass decreased in winter off-season indicating potential undesired changes in training and/or nutrition over the break whereas lean mass was the highest in summer off-season potentially reflecting the emphasis on resistance training and increased volume of training.

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