E. Sobolewski, Kaitlyn M. Carpenter, Gabby Rodriguez, Andrew B. Hall, Morgan O. Richard
{"title":"Ultrasound Derived Measurements Ability to Predict Max Aerobic Performance","authors":"E. Sobolewski, Kaitlyn M. Carpenter, Gabby Rodriguez, Andrew B. Hall, Morgan O. Richard","doi":"10.5432/IJSHS.202050","DOIUrl":null,"url":null,"abstract":"2 Abstract 1 The purpose of this study was to determine the relationship between EI, CSA, and 2 aerobic performance, and to develop a model to predict aerobic performance. Twenty aerobically 3 trained participants had a panoramic ultrasound taken of their rectus femoris and vastus lateralis 4 muscles on their right leg before performing a maximal aerobic cycling test. Ultrasound derived 5 echo intensity and cross-sectional area were compared to peak oxygen consumption (VO 2 ) and 6 maximal power output. Pearson’s product coefficients were used to determine the relationship 7 between ultrasound measurements and aerobic performance values, while a multiple regression 8 model was used to determine what indicators predict in maximal VO 2 and max watt output. 9 Results indicated a significant negative relationship between echo intensity (p<0.05) for max 10 power and VO 2 and a positive relationship with cross-sectional area (p<0.05) for max power and 11 VO 2 . Stepwise regression revealed that muscle echo intensity, cross-sectional area, and sex were 12 good predictors of both max Power and VO 2 . These findings demonstrate that higher quality 13 muscle values (lower echo intensity) and larger muscle size have a higher aerobic performance 14 output than smaller lower quality muscle. 15 16 23","PeriodicalId":341890,"journal":{"name":"International Journal of Sport and Health Science","volume":"1626 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Sport and Health Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5432/IJSHS.202050","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
2 Abstract 1 The purpose of this study was to determine the relationship between EI, CSA, and 2 aerobic performance, and to develop a model to predict aerobic performance. Twenty aerobically 3 trained participants had a panoramic ultrasound taken of their rectus femoris and vastus lateralis 4 muscles on their right leg before performing a maximal aerobic cycling test. Ultrasound derived 5 echo intensity and cross-sectional area were compared to peak oxygen consumption (VO 2 ) and 6 maximal power output. Pearson’s product coefficients were used to determine the relationship 7 between ultrasound measurements and aerobic performance values, while a multiple regression 8 model was used to determine what indicators predict in maximal VO 2 and max watt output. 9 Results indicated a significant negative relationship between echo intensity (p<0.05) for max 10 power and VO 2 and a positive relationship with cross-sectional area (p<0.05) for max power and 11 VO 2 . Stepwise regression revealed that muscle echo intensity, cross-sectional area, and sex were 12 good predictors of both max Power and VO 2 . These findings demonstrate that higher quality 13 muscle values (lower echo intensity) and larger muscle size have a higher aerobic performance 14 output than smaller lower quality muscle. 15 16 23