Prediction of body fat in male athletes from ultrasound and anthropometric measurements versus DXA

Abstract

Prediction of body fat in male athletes from ultrasound and anthropometric measurements versus DXA. Abstract Background: To compare the accuracy of body fat percentage (BF%) measured by an ultrasound portable device and anthropometric measurements with a Dual Energy X-ray Absorptiometry (DXA) as the reference technique in male athletes. Methods: A total of 100 athletes: 16 boxers, 4 rowers, 5 gymnasts, 6 base ball players, 19 judo players, 10 taekwondo players, 7 basket-ball players, 21 wrestlers, 6 cyclists on track and 6 karate expert aged from 18 to 30 years participated. All athletes were selected from the French National Institute of Sports and Physical Education . Ultrasound measurements were made with a sonographic US BOX at the mid-thigh level. We developed a multi -linear model of body fat estimation from ultrasound and anthropometric dimensions (height, weight, waist circumference) using the DXA reference method. A cross-validation study was then performed with this linear regression on 62 males athletes proportionally stratified across the sports. Results: The best accuracy of BF was obtained using a multi-linear model from ultrasonic and anthropometric measurements with a concordance correlation ρ c = 0.941. This model was then used to estimate BF on the 62 males athletes. The concordance correlation ρ c = 0.931 and SEE =1.60. The 95% limits of agreement for individual BF% were [-4.1;3.6%] with symmetrically distributed deviations.Conclusions: Comparing to DXA, ultrasonic and anthropometric measurements are both accurate techniques to estimates BF%. Our results suggest that this regression model is practical to apply to different sports.

High-intensity Interval Training Improves Lipocalin-2 and Omentin-1 Levels in Men with Obesity

“…Although we have used a relatively larger number of participants, we presume that we would find more robust effect sizes and statistical power if we recruited more participants. Furthermore, we estimated body fat percentage by using the skinfold thickness method, which is certainly less accurate than a more direct assessment utilizing a dual-energy X-ray absorptiometry (DEXA) or magnetic resonance imaging (MRI) scan 42 . Finally, the current study involved only men and not women.…”

Ultrasound Measurements and Physical Fitness of Elite Youth Basketball Players

“…US can be used in a wide variety of people ranging from extremely lean to obese, [24] and has been applied in various groups, including basketball players. [22,[25][26][27][28][29] However, to the best of our knowledge, no study has simultaneously reported the US normative values for GM and RF (muscle thickness [MT] and SFT), comparing these results between different age-categories and genders in young elite basketball players. Considering all the above, the aims of the present study were to (1) obtain normative data from physical tests [CMJ and V-cut] and ultrasound measurements [MT and the adjacent SFT of the GM and RF] of different age-category male and female elite youth basketball players; (2) evaluate possible between-agecategory (U14, U16, and U18) and between-gender (male or female) differences in all these data; and (3) examine the relationships between physical and US measurements and determine the combination of variables that most accurately predict the abilities of jumping and sprinting with COD in males and females.…”

“…In addition, US is particularly useful for field settings because of its portability. US can be used in a wide variety of people ranging from extremely lean to obese [24], and has been applied in various groups, including basketball players [22,[25][26][27][28][29]. However, to the best of our knowledge, no study has simultaneously reported the US normative values for GM and RF (muscle thickness [MT] and SFT), comparing these results between different age-categories and genders in young elite basketball players.…”

Hand anthropometric dimensions and strengths in workers: A comparison of three occupations

“…Traditional methods use readily available devices such as calipers to measure dimensions (Agyapong Afrifah & Glalah, 2021; Hajaghazadeh et al, 2018), but modern methods digitally model the human body utilizing stereophotogrammetry, computed tomography (CT), magnetic resonance imaging (MRI), and 3D scanning methods (Fu & Luximon, 2020; Li et al, 2008). Researchers apply these methods to collect data in variety of field, including military (da Silva et al, 2018), nutrition (Kamruzzaman et al, 2021), medicine (Utkualp & Ercan, 2015), sport (Pineau & Bouslah, 2019), and design (da Silva et al, 2020). Practitioners in the field of ergonomics or human factor collect and present data to designers to maximize the fit between humans and products, which can lead to easier work, increased safety, fewer body injuries, and higher job satisfaction (Dianat et al, 2018).…”