Using A-Mode Ultrasound to Assess the Body Composition of Soccer Players: A Comparative Study of Prediction Formulas
For elite athletes, monitoring body composition is important for maximizing performance without health risks. Amplitude (A)-mode ultrasound (AUS) has attracted increasing attention as an alternative to skinfold thickness measurements commonly used for assessing the amount of body fat in athletes. AU...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-02-01
|
| Series: | Diagnostics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-4418/13/4/690 |
| _version_ | 1797621512350466048 |
|---|---|
| author | Paul Muntean Monica Neagu Elena Amaricai Horia G. Haragus Roxana Ramona Onofrei Adrian Neagu |
| author_facet | Paul Muntean Monica Neagu Elena Amaricai Horia G. Haragus Roxana Ramona Onofrei Adrian Neagu |
| author_sort | Paul Muntean |
| collection | DOAJ |
| description | For elite athletes, monitoring body composition is important for maximizing performance without health risks. Amplitude (A)-mode ultrasound (AUS) has attracted increasing attention as an alternative to skinfold thickness measurements commonly used for assessing the amount of body fat in athletes. AUS accuracy and precision, however, depend on the formula used to predict body fat percentage (%BF) from subcutaneous fat layer thicknesses. Therefore, this study evaluates the accuracy of the 1-point biceps (B1), 9-sites Parrillo, 3-sites Jackson and Pollock (JP3), and 7-sites Jackson and Pollock (JP7) formulas. Relying on the previous validation of the JP3 formula in college-aged male athletes, we took AUS measurements in 54 professional soccer players (aged 22.9 ± 3.83 y, mean ± SD) and compared the results given by different formulas. The Kruskal–Wallis test indicated significant differences (<i>p</i> < 10<sup>−6</sup>), and Conover’s post hoc test revealed that the JP3 and JP7 data come from the same distribution, whereas the data given by B1 and P9 differ from all the others. Lin’s concordance correlation coefficients for B1 vs. JP7, P9 vs. JP7, and JP3 vs. JP7 were 0.464, 0.341, and 0.909, respectively. The Bland–Altman analysis indicated mean differences of −0.5 %BF between JP3 and JP7, 4.7 %BF between P9 and JP7, and 3.1 %BF between B1 and JP7. This study suggests that JP7 and JP3 are equally valid, whereas P9 and B1 overestimate %BF in athletes. |
| first_indexed | 2024-03-11T08:57:01Z |
| format | Article |
| id | doaj.art-7d634eac8f16400e993c73eaf8f8cb9b |
| institution | Directory Open Access Journal |
| issn | 2075-4418 |
| language | English |
| last_indexed | 2024-03-11T08:57:01Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Diagnostics |
| spelling | doaj.art-7d634eac8f16400e993c73eaf8f8cb9b2023-11-16T20:01:33ZengMDPI AGDiagnostics2075-44182023-02-0113469010.3390/diagnostics13040690Using A-Mode Ultrasound to Assess the Body Composition of Soccer Players: A Comparative Study of Prediction FormulasPaul Muntean0Monica Neagu1Elena Amaricai2Horia G. Haragus3Roxana Ramona Onofrei4Adrian Neagu5Department of Functional Sciences, Victor Babes University of Medicine and Pharmacy Timisoara, 300041 Timisoara, RomaniaDepartment of Functional Sciences, Victor Babes University of Medicine and Pharmacy Timisoara, 300041 Timisoara, RomaniaDepartment of Rehabilitation, Physical Medicine and Rheumatology, Research Center for Assessment of Human Motion, Functionality and Disability, Victor Babes University of Medicine and Pharmacy Timisoara, 300041 Timisoara, RomaniaDepartment of Orthopedics, Victor Babes University of Medicine and Pharmacy Timisoara, 300041 Timisoara, RomaniaDepartment of Rehabilitation, Physical Medicine and Rheumatology, Research Center for Assessment of Human Motion, Functionality and Disability, Victor Babes University of Medicine and Pharmacy Timisoara, 300041 Timisoara, RomaniaDepartment of Functional Sciences, Victor Babes University of Medicine and Pharmacy Timisoara, 300041 Timisoara, RomaniaFor elite athletes, monitoring body composition is important for maximizing performance without health risks. Amplitude (A)-mode ultrasound (AUS) has attracted increasing attention as an alternative to skinfold thickness measurements commonly used for assessing the amount of body fat in athletes. AUS accuracy and precision, however, depend on the formula used to predict body fat percentage (%BF) from subcutaneous fat layer thicknesses. Therefore, this study evaluates the accuracy of the 1-point biceps (B1), 9-sites Parrillo, 3-sites Jackson and Pollock (JP3), and 7-sites Jackson and Pollock (JP7) formulas. Relying on the previous validation of the JP3 formula in college-aged male athletes, we took AUS measurements in 54 professional soccer players (aged 22.9 ± 3.83 y, mean ± SD) and compared the results given by different formulas. The Kruskal–Wallis test indicated significant differences (<i>p</i> < 10<sup>−6</sup>), and Conover’s post hoc test revealed that the JP3 and JP7 data come from the same distribution, whereas the data given by B1 and P9 differ from all the others. Lin’s concordance correlation coefficients for B1 vs. JP7, P9 vs. JP7, and JP3 vs. JP7 were 0.464, 0.341, and 0.909, respectively. The Bland–Altman analysis indicated mean differences of −0.5 %BF between JP3 and JP7, 4.7 %BF between P9 and JP7, and 3.1 %BF between B1 and JP7. This study suggests that JP7 and JP3 are equally valid, whereas P9 and B1 overestimate %BF in athletes.https://www.mdpi.com/2075-4418/13/4/690body fat percentagemethods comparisonBland–Altman analysisPassing–Bablok regression |
| spellingShingle | Paul Muntean Monica Neagu Elena Amaricai Horia G. Haragus Roxana Ramona Onofrei Adrian Neagu Using A-Mode Ultrasound to Assess the Body Composition of Soccer Players: A Comparative Study of Prediction Formulas Diagnostics body fat percentage methods comparison Bland–Altman analysis Passing–Bablok regression |
| title | Using A-Mode Ultrasound to Assess the Body Composition of Soccer Players: A Comparative Study of Prediction Formulas |
| title_full | Using A-Mode Ultrasound to Assess the Body Composition of Soccer Players: A Comparative Study of Prediction Formulas |
| title_fullStr | Using A-Mode Ultrasound to Assess the Body Composition of Soccer Players: A Comparative Study of Prediction Formulas |
| title_full_unstemmed | Using A-Mode Ultrasound to Assess the Body Composition of Soccer Players: A Comparative Study of Prediction Formulas |
| title_short | Using A-Mode Ultrasound to Assess the Body Composition of Soccer Players: A Comparative Study of Prediction Formulas |
| title_sort | using a mode ultrasound to assess the body composition of soccer players a comparative study of prediction formulas |
| topic | body fat percentage methods comparison Bland–Altman analysis Passing–Bablok regression |
| url | https://www.mdpi.com/2075-4418/13/4/690 |
| work_keys_str_mv | AT paulmuntean usingamodeultrasoundtoassessthebodycompositionofsoccerplayersacomparativestudyofpredictionformulas AT monicaneagu usingamodeultrasoundtoassessthebodycompositionofsoccerplayersacomparativestudyofpredictionformulas AT elenaamaricai usingamodeultrasoundtoassessthebodycompositionofsoccerplayersacomparativestudyofpredictionformulas AT horiagharagus usingamodeultrasoundtoassessthebodycompositionofsoccerplayersacomparativestudyofpredictionformulas AT roxanaramonaonofrei usingamodeultrasoundtoassessthebodycompositionofsoccerplayersacomparativestudyofpredictionformulas AT adrianneagu usingamodeultrasoundtoassessthebodycompositionofsoccerplayersacomparativestudyofpredictionformulas |