Utilizing a Novel 2D Image Processing System for Relating Body Composition Metrics to Performance in Collegiate Female Rowers

dc.contributor.authorEsco, Michael R.
dc.contributor.authorHolmes, Clifton J.
dc.contributor.authorSullivan, Katherine
dc.contributor.authorHornikel, Bjoern
dc.contributor.authorFedewa, Michael V.
dc.contributor.otherUniversity of Alabama Tuscaloosa
dc.date.accessioned2023-09-28T19:35:49Z
dc.date.available2023-09-28T19:35:49Z
dc.date.issued2021
dc.description.abstractThe purpose of this study was to determine if rowing performance was associated with fat mass (FM) or fat-free mass (FFM) measured using a novel 2D digital image analysis system. Nineteen female rowers (ages = 20.3 +/- 1.0 years, weight = 73.8 +/- 8.3 kg, height = 172.7 +/- 4.7 cm) participated in this study. FM and FFM were estimated with a smartphone application that uses an automated 2D image analysis program. Rowing performance was measured using a 2 km (2k) timed trial on an indoor ergometer. The average speed of the timed trial was recorded in raw units (m center dot s(-1)) and adjusted for body weight (m center dot s(-1)center dot kg(-1)). FFM was significantly correlated to unadjusted 2k speed (r = 0.67, p < 0.05), but not for FM (r = 0.44, p > 0.05). When 2k speed was adjusted to account for body weight, significant correlations were found with FM (r = -0.56, p < 0.05), but not FFM (r = -0.34, p > 0.05). These data indicate that both FM and FFM are related to rowing performance in female athletes, but the significance of the relationships is dependent on overall body mass. In addition, the novel 2D imaging system appears to be a suitable field technique when relating body composition to rowing performance.en_US
dc.format.mediumelectronic
dc.format.mimetypeapplication/pdf
dc.identifier.citationEsco, M. R., Holmes, C. J., Sullivan, K., Hornikel, B., & Fedewa, M. V. (2021). Utilizing a Novel 2D Image Processing System for Relating Body Composition Metrics to Performance in Collegiate Female Rowers. In International Journal of Environmental Research and Public Health (Vol. 18, Issue 5, p. 2413). MDPI AG. https://doi.org/10.3390/ijerph18052413
dc.identifier.doi10.3390/ijerph18052413
dc.identifier.orcidhttps://orcid.org/0000-0002-2055-863X
dc.identifier.orcidhttps://orcid.org/0000-0003-1611-1306
dc.identifier.urihttps://ir.ua.edu/handle/123456789/11531
dc.languageEnglish
dc.language.isoen_US
dc.publisherMDPI
dc.rights.licenseAttribution 4.0 International (CC BY 4.0)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectbody fat
dc.subjectfat mass
dc.subjectfat-free mass
dc.subjectfemale athletes
dc.subjectrowing
dc.subjecttechnology
dc.subjectROWING ERGOMETER PERFORMANCE
dc.subjectLEVEL
dc.subjectFAT
dc.subjectEXERCISE
dc.subjectEnvironmental Sciences
dc.subjectPublic, Environmental & Occupational Health
dc.titleUtilizing a Novel 2D Image Processing System for Relating Body Composition Metrics to Performance in Collegiate Female Rowersen_US
dc.typeArticle
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