The accuracy of ten common resting metabolic rate prediction equations in men and women collegiate athletes

References

• Balci, A., Badem, E. A., Yılmaz, A. E., Devrim-Lanpir, A., Akınoğlu, B., Kocahan, T., Hasanoğlu, A., Hill, L., Rosemann, T., & Knechtle, B. (2021). Current predictive resting metabolic rate equations are not sufficient to determine proper resting energy expenditure in Olympic young adult national team athletes. Frontiers in Physiology, 12, 51. https://doi.org/10.3389/fphys.2021.625370
   Web of Science ®Google Scholar
• Benton, M. J., Hutchins, A. M., & Dawes, J. J. (2020). Effect of menstrual cycle on resting metabolism: A systematic review and meta-analysis. PLoS ONE, 15(7), e0236025. https://doi.org/10.1371/journal.pone.0236025
   PubMed Web of Science ®Google Scholar
• Black, A. E., Coward, W. A., Cole, T. J., & Prentice, A. M. (1996). Human energy expenditure in affluent societies: An analysis of 574 doubly-labelled water measurements. European Journal of Clinical Nutrition, 50(2), 72–92. PMID: 8641250.
   PubMed Web of Science ®Google Scholar
• Bland, J. M., & Altman, D. G. (1986). Statistical methods for assessing agreement between two methods of clinical measurement. The Lancet, 327(8476), 307–310. https://doi.org/10.1016/S0140-6736(86)90837-8
   Web of Science ®Google Scholar
• Brozek, J., Grande, F., Anderson, J. T., & Keys, A. (1963). Densitometric analysis of body composition: Revision of some quantitative assumptions. Annals of the New York Academy of Sciences, 110(1), 113–140. https://doi.org/10.1111/j.1749-6632.1963.tb17079.x
   PubMed Web of Science ®Google Scholar
• Carpenter, A., Pencharz, P., & Mouzaki, M. (2015). Accurate estimation of energy requirements of young patients. Journal of Pediatric Gastroenterology and Nutrition, 60(1), 4–10. https://doi.org/10.1097/MPG.0000000000000572
   PubMed Web of Science ®Google Scholar
• Collins, M. A., Millard-Stafford, M. L., Sparling, P. B., Snow, T. K., Rosskopf, L. B., Webb, S. A., & Omer, J. (1999). Evaluation of the BOD POD for assessing body fat in collegiate football players. Medicine and Science in Sports and Exercise, 31(9), 1350–1356. https://doi.org/10.1097/00005768-199909000-00019
   PubMed Web of Science ®Google Scholar
• Compher, C., Frankenfield, D., Keim, N., Roth-Yousey, L., & Evidence Analysis Working Group. (2006). Best practice methods to apply to measurement of resting metabolic rate in adults: A systematic review. Journal of the American Dietetic Association, 106(6), 881–903. https://doi.org/10.1016/j.jada.2006.02.009
   PubMed Web of Science ®Google Scholar
• Cunningham, J. J. (1980). A reanalysis of the factors influencing basal metabolic rate in Normal adults. The American Journal of Clinical Nutrition, 33(11), 2372–2374. https://doi.org/10.1093/ajcn/33.11.2372
   PubMed Web of Science ®Google Scholar
• Cunningham, J. J. (1991). Body composition as a determinant of energy expenditure: A synthetic review and a proposed general prediction equation. The American Journal of Clinical Nutrition, 54(6), 963–969. https://doi.org/10.1093/ajcn/54.6.963
   PubMed Web of Science ®Google Scholar
• De Lorenzo, A., Bertini, I., Candeloro, N., Piccinelli, R., Innocente, I., & Brancati, A. (1999). A new predictive equation to calculate resting metabolic rate in athletes. The Journal of Sports Medicine and Physical Fitness, 39(3), 213–219. PMID: 10573663.
   PubMed Web of Science ®Google Scholar
• Fields, J. B., Merrigan, J. J., White, J. B., & Jones, M. T. (2018). Body composition variables by sport and sport-position in elite collegiate athletes. Journal of Strength and Conditioning Research, 32(11), 3153–3159. https://doi.org/10.1519/JSC.0000000000002865
   PubMed Web of Science ®Google Scholar
• Flack, K. D., Siders, W. A., Johnson, L., & Roemmich, J. N. (2016). Cross-Validation of resting metabolic rate prediction equations. Journal of the Academy of Nutrition and Dietetics, 116(9), 1413–1422. https://doi.org/10.1016/j.jand.2016.03.018
   PubMed Web of Science ®Google Scholar
• Frankenfield, D., Roth-Yousey, L., & Compher, C. (2005). Comparison of predictive equations for resting metabolic rate in healthy nonobese and obese adults: A systematic review. Journal of the American Dietetic Association, 105(5), 775–789. https://doi.org/10.1016/j.jada.2005.02.005
   PubMedGoogle Scholar
• Freire, R., Pereira, G., Alcantara, J. M., Santos, R., Hausen, M., & Itaborahy, A. (2021). New predictive resting metabolic rate equations for high-level athletes: A cross-validation study. Medicine & Science in Sports & Exercise, https://doi.org/10.1249/MSS.0000000000002851
   PubMed Web of Science ®Google Scholar
• Frings-Meuthen, P., Henkel, S., Boschmann, M., Chilibeck, P. D., Alvero Cruz, J. R., Hoffmann, F., Möstl, S., Mittag, U., Mulder, E., Rittweger, N., Sies, W., Tanaka, H., & Rittweger, J. (2021). Resting energy expenditure of master athletes: Accuracy of predictive equations and primary determinants. Frontiers in Physiology, 12, 278. https://doi.org/10.3389/fphys.2021.641455
   Web of Science ®Google Scholar
• Haaf, T. t., & Weijs, P. J. M. (2014). Resting energy expenditure prediction in recreational athletes of 18–35 years: Confirmation of cunningham equation and an improved weight-based alternative. PLOS ONE, 9(10), e108460. https://doi.org/10.1371/journal.pone.0108460
   PubMed Web of Science ®Google Scholar
• Harris, J. A., & Benedict, F. G. (1918). A biometric study of human basal metabolism. Proceedings of the National Academy of Sciences of the United States of America, 4(12), 370–373. https://doi.org/10.1073/pnas.4.12.370
   PubMedGoogle Scholar
• Haugen, H. A., Chan, L.-N., & Li, F. (2007). Indirect calorimetry: A practical guide for clinicians. Nutrition in Clinical Practice: Official Publication of the American Society for Parenteral and Enteral Nutrition, 22(4), 377–388. https://doi.org/10.1177/0115426507022004377
   PubMed Web of Science ®Google Scholar
• Hudson, J. F., Cole, M., Morton, J. P., Stewart, C. E., & Close, G. L. (2020). Daily changes of resting metabolic rate in elite rugby union players. Medicine & Science in Sports & Exercise, 52(3), 637–644. https://doi.org/10.1249/MSS.0000000000002169
   PubMed Web of Science ®Google Scholar
• Jagim, A. R., Camic, C. L., Kisiolek, J., Luedke, J., Erickson, J., Jones, M. T., & Oliver, J. M. (2018). Accuracy of resting metabolic rate prediction equations in athletes. Journal of Strength and Conditioning Research, 32(7), 1875–1881. https://doi.org/10.1519/JSC.0000000000002111
   PubMed Web of Science ®Google Scholar
• Jagim, A. R., Zabriskie, H., Currier, B., Harty, P. S., Stecker, R., & Kerksick, C. M. (2019). Nutrient status and perceptions of energy and macronutrient intake in a group of collegiate female lacrosse athletes. Journal of the International Society of Sports Nutrition, 16(1), 43. https://doi.org/10.1186/s12970-019-0314-7
   PubMed Web of Science ®Google Scholar
• Kim, J.-H., Kim, M.-H., Kim, G.-S., Park, J.-S., & Kim, E.-K. (2015). Accuracy of predictive equations for resting metabolic rate in Korean athletic and non-athletic adolescents. Nutrition Research and Practice, 9(4), 370–378. https://doi.org/10.4162/nrp.2015.9.4.370
   PubMed Web of Science ®Google Scholar
• LaForgia, J., van der Ploeg, G. E., Withers, R. T., Gunn, S. M., Brooks, A. G., & Chatterton, B. E. (2004). Impact of indexing resting metabolic rate against fat-free mass determined by different body composition models. European Journal of Clinical Nutrition, 58(8), 1132–1141. https://doi.org/10.1038/sj.ejcn.1601941
   PubMed Web of Science ®Google Scholar
• Maddalozzo, G. F., Cardinal, B. J., & Snow, C. A. (2002). Concurrent validity of the BOD POD and dual energy x-ray absorptiometry techniques for assessing body composition in young women. Journal of the American Dietetic Association, 102(11), 1677–1679. https://doi.org/10.1016/s0002-8223(02)90358-5
   PubMedGoogle Scholar
• Mifflin, M. D., St Jeor, S. T., Hill, L. A., Scott, B. J., Daugherty, S. A., & Koh, Y. O. (1990). A new predictive equation for resting energy expenditure in healthy individuals. The American Journal of Clinical Nutrition, 51(2), 241–247. https://doi.org/10.1093/ajcn/51.2.241
   PubMed Web of Science ®Google Scholar
• Mountjoy, M., Sundgot-Borgen, J. K., Burke, L. M., Ackerman, K. E., Blauwet, C., Constantini, N., Lebrun, C., Lundy, B., Melin, A. K., Meyer, N. L., Sherman, R. T., Tenforde, A. S., Klungland Torstveit, M., & Budgett, R. (2018). IOC consensus statement on relative energy deficiency in sport (RED-S): 2018 update. British Journal of Sports Medicine, 52(11), 687–697. https://doi.org/10.1136/bjsports-2018-099193
   PubMed Web of Science ®Google Scholar
• Nelson, K. M., Weinsier, R. L., Long, C. L., & Schutz, Y. (1992). Prediction of resting energy expenditure from fat-free mass and fat mass. The American Journal of Clinical Nutrition, 56(5), 848–856. https://doi.org/10.1093/ajcn/56.5.848
   PubMed Web of Science ®Google Scholar
• Norton, K., & Olds, T. (2001). Morphological evolution of athletes over the 20th century: Causes and consequences. Sports Medicine (Auckland, N.Z.), 31(11), 763–783. https://doi.org/10.2165/00007256-200131110-00001
   PubMed Web of Science ®Google Scholar
• Oliveira, T. M., Penna-Franca, P. A., Dias-Silva, C. H., Bittencourt, V. Z., Cahuê, F. F. L. C., Fonseca-Junior, S. J., & Pierucci, A. P. T. R. (2021). Predictive equations for resting metabolic rate are not appropriate to use in Brazilian Male adolescent football athletes. PLOS ONE, 16(1), e0244970. https://doi.org/10.1371/journal.pone.0244970
   PubMed Web of Science ®Google Scholar
• Owen, O. E., Kavle, E., Owen, R. S., Polansky, M., Caprio, S., Mozzoli, M. A., Kendrick, Z. V., Bushman, M. C., & Boden, G. (1986). A reappraisal of caloric requirements in healthy women. The American Journal of Clinical Nutrition, 44(1), 1–19. https://doi.org/10.1093/ajcn/44.1.1
   PubMed Web of Science ®Google Scholar
• Ravussin, E., & Bogardus, C. (1989). Relationship of genetics, age, and physical fitness to daily energy expenditure and fuel utilization. The American Journal of Clinical Nutrition, 49(5), 968–975. https://doi.org/10.1093/ajcn/49.5.968
   PubMed Web of Science ®Google Scholar
• Reale, R. J., Roberts, T. J., Lee, K. A., Bonsignore, J. L., & Anderson, M. L. (2020). Metabolic rate in adolescent athletes: The development and validation of new equations, and comparison to previous models. International Journal of Sport Nutrition and Exercise Metabolism, 30(4), 249–257. https://doi.org/10.1123/ijsnem.2019-0323
   PubMed Web of Science ®Google Scholar
• Schofield, K. L., Thorpe, H., & Sims, S. T. (2019). Resting metabolic rate prediction equations and the validity to assess energy deficiency in the athlete population. Experimental Physiology, 104(4), 469–475. https://doi.org/10.1113/EP087512
   PubMed Web of Science ®Google Scholar
• Speakman, J. R., & Selman, C. (2003). Physical activity and resting metabolic rate. The Proceedings of the Nutrition Society, 62(3), 621–634. https://doi.org/10.1079/PNS2003282
   PubMed Web of Science ®Google Scholar
• Thom, G., Gerasimidis, K., Rizou, E., Alfheeaid, H., Barwell, N., Manthou, E., … Malkova, D. (2020). Validity of predictive equations to estimate RMR in females with varying BMI. Journal of Nutritional Science, 9, 1–10. https://doi.org/10.1017/jns.2020.11
   Web of Science ®Google Scholar
• Thompson, J., & Manore, M. M. (1996). Predicted and measured resting metabolic rate of male and female endurance athletes. Journal of the American Dietetic Association, 96(1), 30–34. https://doi.org/10.1016/S0002-8223(96)00010-7
   PubMedGoogle Scholar
• Tinsley, G. M., Graybeal, A. J., & Moore, M. L. (2018). Resting metabolic rate in muscular physique athletes: Validity of existing methods and development of new prediction equations. Applied Physiology, Nutrition, and Metabolism, 44(4), 397–406. https://doi.org/10.1139/apnm-2018-0412
   PubMed Web of Science ®Google Scholar
• Watson, A. D., Zabriskie, H. A., Witherbee, K. E., Sulavik, A., Gieske, B. T., & Kerksick, C. M. (2019). Determining a resting metabolic rate prediction equation for collegiate female athletes. Journal of Strength and Conditioning Research, 33(9), 2426–2432. https://doi.org/10.1519/JSC.0000000000002856
   PubMed Web of Science ®Google Scholar