Fat Mass Evaluation in Classical Ballet Dancers: Comparation Between Predictive Anthopometry Equations (P13-003-19). (13th June 2019)

• Record Type: Journal Article
• Authors: Carvalho, Maria Clara; Torres, Carlos Henrique de; Costa, Ana Carolina; Prazeres, Ana Luisa; Maciel, Bruna; Leal, Leilane Lilian
• Is Part Of: Current developments in nutrition. Volume 3(2019)Supplement 1
• Publication Date: 2019-06-13
• Subjects: Nutrition -- Periodicals; Nutritional Physiological Phenomena; Nutrition; Periodicals; Periodicals; Fulltext; Internet Resources; Periodicals; 612.3
• DOI: 10.1093/cdn/nzz036.P13-003-19
• Languages: English
• ISSNs: 2475-2991

Abstract

Abstract: Objectives: This study aimed to identify and compare fat mass of classical ballet practitioners using 8 different anthropometric predictive equations. Methods: A cross-sectional study was conducted from 2016 to 2018, in which 37 classical intermediate/advanced female dancers were evaluated. The anthropometric equations were selected from the literature using the following key words: "predictive equations", "anthropometry", "body composition", and "ballet dancers". Equations developed for men, for populations with specific diseases, and those that did not include the age range of the study participants were excluded. Thus, the studied equations were: Sloan (1962), Jackson and Pollock (1980), Jackson and Pollock (1975), Guedes (1985), Slaughter (1988), Hergenroeder (1995), Durnin and Womersley (1997). From the equations selected, the Fat Mass (FM) was evaluated. To test if the equations used generated different FM results, ANOVA followed by Tukey's post-test was used. Results: From the anthropometric equations evaluated, a mean FM of 27.11 (0.32)% was observed. The equations of Guedes (1985), Jackson and Pollock (1975) showed similar FM results, of 28.05 (0.8)% and 28.02 (1.22)%, respectively. The equations of Petroski (1995), Sloan (1962) and Slaugther (1988) also presented similar FM results of 26.23 (0.73)%, 26.09 (1.05)% and 26.44 (0.73)%, respectively. The other studied equations presented different FM results when compared. Conclusions: Study results showed that using different equations give different FM results, reinforcing that the validation and cross validation of population specific equations are needed. Funding Sources: Conselho Nacional de desenvolvimento científico e tecnológico (CNPq). Supporting Tables, Images and/or Graphs: