| dc.creator | Ramírez, Robinson | |
| dc.creator | González, Katherine | |
| dc.date.accessioned | 2019-12-17T15:22:22Z | |
| dc.date.accessioned | 2022-09-28T14:53:25Z | |
| dc.date.available | 2019-12-17T15:22:22Z | |
| dc.date.available | 2022-09-28T14:53:25Z | |
| dc.date.created | 2019-12-17T15:22:22Z | |
| dc.date.issued | 2015-03-21 | |
| dc.identifier | http://hdl.handle.net/11634/20376 | |
| dc.identifier | https://doi.org/10.1016/j.rccar.2014.10.008 | |
| dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/3666387 | |
| dc.description.abstract | Purpose:
To evaluate the correlations between body adiposity index and other adiposity indexes such as body mass index, hip and waist circumference, waist-to-hip ratio, Σ6 skinfold-thickness and percentage body fat in Colombian elite athletes.
Methods:
A cross-sectional study was conducted in 149 elite athletes from Colombia (mean age: 26.3 ± 6.5 years; height: 169.2 ± 10.1 cm; body mass: 66.1 ± 12.8 kg; body mass index 22.9 ± 3.0 kg m−1). body adiposity index, body mass index, waist-to-hip ratio, percentage body fat, Σ6 skinfold-thickness and waist circumference were also measured.
Results:
To select an optimal surrogate for adiposity, we examined the correlation between body adiposity percentage as measured by BIA and several variables, including body adiposity index, body mass index, Σ6 skinfold-thickness, percentage body fat and waist-to-hip ratio. The regression procedure showed that there was a significant relationship between the body adiposity index and BF% (R2 = 0.407, p < 0.01). Bland–Altman plot showed that the limits of agreement (95% confidence intervals) between the BF% and body adiposity index ranged between 15.53 and 2.26%, and there was a significant positive association between the difference and mean of the 2 methods (rho = 0.607, p < 0.01).
Conclusion:
The adiposity indexes that include the percentage body fat and body adiposity index could be used as indicators to evaluate the corporal composition in both sport practice and research. | |
| dc.relation | Esco MR. The accuracy of the body adiposity index for predicting body fat percentage in collegiate female athletes. J Strength Cond Res. 2013;27(6):1679-83. | |
| dc.relation | Suchanek P, Kralova Lesna I, Mengerova O, Mrazkova J, Lanska V, Stavek P. Which index best correlates with body fat mass: BAI, BMI, waist or WHR? Neuroendocrinol Lett. 2012;33 Suppl. 2:78-82. | |
| dc.relation | Rexrode KM, Carey VJ, Hennekens CH, Walters EE, Colditz GA, Stampfer MJ, et al. Abdominal adiposity coronary heart disease in women. JAMA. 1998;280:1843-8. | |
| dc.relation | Folsom AR, Kushi LH, Anderson KE, Mink PJ, Olson JE, Hong CP, et al. Associations of general and abdominal obesity with multiple health outcomes in older women: the Iowa Women’s Health Study. Arch Intern Med. 2008;160:2117-28. | |
| dc.relation | Simpson JA, MacInnis RJ, Peeters A, Hopper JL, Giles GG, English DR. A comparison of adiposity measures as predictors of all-cause mortality: the Melbourne collaborative cohort study. Obesity. 2007;15(4):994-1003. | |
| dc.relation | Bergman RN, Stefanovski D, Buchanan TA, Sumner AE, Reynolds JC, Sebring NG, et al. A better index of body adiposity. Obesity (Silver Spring). 2011;19:1083-9. | |
| dc.relation | Marfell-Jones M, Olds T, Stewart A, et al. International standards for anthropometric assessment Potchefstroom, South Africa. ISAK. 2006. | |
| dc.relation | Nevill AM, Metsios GS, Jackson AS, Wang J, Thornton J, Gallagher D. Can we use the Jackson and Pollock equations to predict body density/fat of obese individuals in the 21st century? Int J Body Compos Res. 2008;6(3):114-21. | |
| dc.relation | Snijder MB, Nicolaou M, van Valkengoed IG, Brewster LM, Stronks K. Newly proposed body adiposity index (BAI) by Bergman et al. is not strongly related to cardiovascular health risk. Obesity (Silver Spring). 2012;20:1138-9. | |
| dc.relation | Bennasar-Veny M1, Lopez-Gonzalez AA, Tauler P, Cespedes ML, Vicente-Herrero T, Ya˜nez A, et al. Body adiposity index and cardiovascular health risk factors in Caucasians: a comparison with the body mass index and others. PLOS ONE. 2013;8(5):e63999. | |
| dc.relation | López AA, Cespedes ML, Vicente T, Tomas M, Bennasar-Veny M, Tauler P, et al. Body adiposity index utilization in a Spanish Mediterranean population: comparison with the body mass index. PLOS ONE. 2012;7:e35281. | |
| dc.relation | Freedman DS, Ogden CL, Goodman AB, Blanck HM. Skinfolds and coronary heart disease risk factors are more strongly associated with BMI than with the body adiposity index. Obesity (Silver Spring). 2013;21(1):E64-70. | |
| dc.relation | Da Silva EM, Brentano MA, Cadore EL, De Almeida AP, Kruel LF. Analysis of muscle activation during different leg press exercises at submaximum effort levels. J Strength Cond. 2008;22:1059-65. | |
| dc.relation | Ode JJ, Pivarnik JM, Reeves MJ, Knous JL. Body mass index as a predictor of percent fat in college athletes and nonathletes. Med Sci Sports Exerc. 2007;39:403-9. | |
| dc.rights | http://creativecommons.org/licenses/by-nc-sa/2.5/co/ | |
| dc.rights | Atribución-NoComercial-CompartirIgual 2.5 Colombia | |
| dc.title | Body adiposity index in Colombian elite athletes: A comparison between the body mass index and other measures | |
| dc.type | Generación de Nuevo Conocimiento: Artículos publicados en revistas especializadas - Electrónicos | |
