Resting energy expenditure in elite athletes: development of new predictive equations based on anthropometric variables and bioelectrical impedance analysis derived phase angle.
Accuracy
Athletes
BIA
Energy expenditure
Phase angle
Predictive equations
Journal
Journal of the International Society of Sports Nutrition
ISSN: 1550-2783
Titre abrégé: J Int Soc Sports Nutr
Pays: United States
ID NLM: 101234168
Informations de publication
Date de publication:
26 Oct 2021
26 Oct 2021
Historique:
received:
05
01
2021
accepted:
04
10
2021
entrez:
27
10
2021
pubmed:
28
10
2021
medline:
16
11
2021
Statut:
epublish
Résumé
An accurate estimation of athletes' energy needs is crucial in diet planning to improve sport performance and to maintain an appropriate body composition. This study aimed to develop and validate in elite athletes new equations for estimating resting energy expenditure (REE) based on anthropometric parameters as well as bioimpedance analysis (BIA)-derived raw variables and to validate the accuracy of selected predictive equations. Adult elite athletes aged 18-40 yrs were studied. Anthropometry, indirect calorimetry and BIA were performed in all subjects. The new predictive equations were generated using different regression models. The accuracy of the new equations was assessed at the group level (bias) and at the individual level (precision accuracy), and then compared with the one of five equations used in the general population or three athletes-specific formulas. One-hundred and twenty-six male athletes (age 26.9 ± 9.1 yrs; weight 71.3 ± 10.9 kg; BMI 22.8 ± 2.7 kg/m In elite athletes, BIA-derived phase angle is a significant predictor of REE. The new equations have a very good prediction accuracy at both group and individual levels. The use of phase angle as predictor of REE requires further research with respect to different sport specialties, training programs and training level.
Sections du résumé
BACKGROUND
BACKGROUND
An accurate estimation of athletes' energy needs is crucial in diet planning to improve sport performance and to maintain an appropriate body composition. This study aimed to develop and validate in elite athletes new equations for estimating resting energy expenditure (REE) based on anthropometric parameters as well as bioimpedance analysis (BIA)-derived raw variables and to validate the accuracy of selected predictive equations.
METHODS
METHODS
Adult elite athletes aged 18-40 yrs were studied. Anthropometry, indirect calorimetry and BIA were performed in all subjects. The new predictive equations were generated using different regression models. The accuracy of the new equations was assessed at the group level (bias) and at the individual level (precision accuracy), and then compared with the one of five equations used in the general population or three athletes-specific formulas.
RESULTS
RESULTS
One-hundred and twenty-six male athletes (age 26.9 ± 9.1 yrs; weight 71.3 ± 10.9 kg; BMI 22.8 ± 2.7 kg/m
CONCLUSION
CONCLUSIONS
In elite athletes, BIA-derived phase angle is a significant predictor of REE. The new equations have a very good prediction accuracy at both group and individual levels. The use of phase angle as predictor of REE requires further research with respect to different sport specialties, training programs and training level.
Identifiants
pubmed: 34702296
doi: 10.1186/s12970-021-00465-x
pii: 10.1186/s12970-021-00465-x
pmc: PMC8549253
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
68Informations de copyright
© 2021. The Author(s).
Références
Lancet. 1986 Feb 8;1(8476):307-10
pubmed: 2868172
J Acad Nutr Diet. 2015 Sep;115(9):1417-1446.e2
pubmed: 26038298
Curr Opin Clin Nutr Metab Care. 2017 Sep;20(5):330-339
pubmed: 28548972
Am J Clin Nutr. 1990 Sep;52(3):409-14
pubmed: 2393002
J Physiol. 1949 Aug;109(1-2):1-9
pubmed: 15394301
J Int Soc Sports Nutr. 2014 Feb 27;11(1):7
pubmed: 24571926
J Sports Med Phys Fitness. 1999 Sep;39(3):213-9
pubmed: 10573663
Clin Nutr. 2012 Dec;31(6):854-61
pubmed: 22698802
Am J Clin Nutr. 1988 May;47(5):793-8
pubmed: 3284328
Singapore Med J. 2012 Nov;53(11):744-9
pubmed: 23192502
Metabolism. 1996 Aug;45(8):992-7
pubmed: 8769358
J Pediatr. 2015 Jun;166(6):1390-6.e1
pubmed: 25872963
JPEN J Parenter Enteral Nutr. 2020 Aug;44(6):1021-1028
pubmed: 32010994
J Sports Med Phys Fitness. 2020 Jun;60(6):870-874
pubmed: 32487981
World Health Organ Tech Rep Ser. 1985;724:1-206
pubmed: 3937340
Am J Clin Nutr. 1990 Feb;51(2):241-7
pubmed: 2305711
J Am Diet Assoc. 2003 Sep;103(9):1152-9
pubmed: 12963943
PLoS One. 2014 Oct 02;9(9):e108460
pubmed: 25275434
Clin Nutr. 2021 May;40(5):3052-3061
pubmed: 33183880
J Strength Cond Res. 2018 Jul;32(7):1875-1881
pubmed: 28682934
J Strength Cond Res. 2019 Sep;33(9):2426-2432
pubmed: 30741864
Int J Sport Nutr Exerc Metab. 2019 Mar 1;29(2):152-164
pubmed: 30632422
J Am Diet Assoc. 2006 Jun;106(6):881-903
pubmed: 16720129
Clin Nutr. 2004 Dec;23(6):1430-53
pubmed: 15556267
Nutrition. 2021 Apr;84:111105
pubmed: 33477001
Med Sci Sports Exerc. 2016 Mar;48(3):543-68
pubmed: 26891166
Hum Nutr Clin Nutr. 1985;39 Suppl 1:5-41
pubmed: 4044297
Nutrients. 2019 Jan 22;11(2):
pubmed: 30678165
Nutrients. 2021 May 12;13(5):
pubmed: 34065984
Physiol Meas. 2021 Jan 01;41(12):125007
pubmed: 33202393
Am J Clin Nutr. 1988 Apr;47(4):591-607
pubmed: 3281433
Am J Clin Nutr. 1987 Dec;46(6):875-85
pubmed: 3687821
J Int Soc Sports Nutr. 2019 Nov 6;16(1):49
pubmed: 31694665
J Am Diet Assoc. 2005 May;105(5):775-89
pubmed: 15883556
Proc Natl Acad Sci U S A. 1918 Dec;4(12):370-3
pubmed: 16576330
Br J Nutr. 2000 Apr;83(4):355-62
pubmed: 10858693
J Am Diet Assoc. 2009 Mar;109(3):509-27
pubmed: 19278045