Validação de equações de predição de antropometria e bioimpedância elétrica para estimativa da composição corporal de praticantes de ballet clássico
The practice of classical ballet promotes posture, improvement in physical conditioning, muscle tonus and body modeling, resulting in an increase in energy expenditure. To provide fluidity of dance movements, low body weight and lower fat mass indexes are recommended for practitioners, so that body...
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| Tipo de recurso: | tesis de maestría |
| Estado: | Versión publicada |
| Fecha de publicación: | 2018 |
| País: | Brasil |
| Institución: | Universidade Federal do Rio Grande do Norte (UFRN) |
| Repositorio: | Repositório Institucional da UFRN |
| Idioma: | portugués |
| OAI Identifier: | oai:repositorio.ufrn.br:123456789/25863 |
| Acceso en línea: | https://repositorio.ufrn.br/jspui/handle/123456789/25863 |
| Access Level: | acceso abierto |
| Palabra clave: | Composição corporal DXA Bioimpedância elétrica Antropometria Dança CNPQ::CIENCIAS DA SAUDE::NUTRICAO |
| Sumario: | The practice of classical ballet promotes posture, improvement in physical conditioning, muscle tonus and body modeling, resulting in an increase in energy expenditure. To provide fluidity of dance movements, low body weight and lower fat mass indexes are recommended for practitioners, so that body composition is directly related to ballet performance. Evaluating body composition of classical ballet practitioners is important for maintaining the general health conditions, as well as to avoid deleterious consequences of a low body weight. Although dual-energy-X-ray absorptiometry (DXA) is considered a reference method, anthropometry and bioelectrical impedance (BIA) are more accessible, but dependent on the use of prediction equations suitable for estimating Body Fat (BF) or Fat-Free Mass (FFM). Different equations for distinct populations are found in the literature, and no specific equations for Brazilian dancers are found. The aim of present study was to validate anthropometry and BIA equations for body composition, comparing them with DXA, for non-professional classical ballet dancers. A cross-sectional study was conducted, with data collection between June 2016 and December 2017. Female ballet dancers at intermediate/advanced level (n = 37) were assessed. Body composition evaluation included total body assessments using DXA, anthropometric assessments and tetrapolar BIA. Twenty different predictive equations of anthropometry (n=8) and BIA (n=12) were used to estimate the Body Fat (BF) and Fat-Free Mass (FFM). The correlation between the BF or FFM results given by equations and DXA was determined by the Pearson’s correlation (r). The one sample T-test was used to verify if the mean differences between the results of the equations against DXA significantly differed from zero. The concordance between the different equations and DXA was determined through the Bland-Altman analysis, using simple linear regression to test the presence of proportional bias between the equations and DXA. The studied population had a median age of 19 (16, 24) years and a mean BF of 28.37 (7.01)% by DXA. For BF determined by anthropometry equations, the one proposed by Durnin & Womersley (1974) presented good agreement (r = 0.852, p < 0.000, e one sample T-test p =0.600), with no proportional bias (R² = -0.055, beta = 0.021, p = 0.929). For the BIA equations, none of the predictive equations tested were valid for the study population. The results showed that only the equation proposed by Durnin & Womersley was applicable in the evaluation of body composition of the classical ballet dancers studied, emphasizing the importance of the validation of equations when applied in specific populations. |
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