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Relationships Between Estimated Hourly Energy Balance and Body Composition in Professional Cheerleaders

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Abstract

Purpose

We sought to describe and examine the interrelationships between energy intake, body composition, and estimated energy balance.

Methods

Using self-reported hourly food intake and formula-based energy expenditure (EE) protocols, 19 female professional cheerleaders (mean age 25.4 years) were assessed to obtain energy balance (EB) for a typical training day. Energy intake (EI) was predicted using the USDA Food Composition Database SR27, and EE was predicted using the Harris-Benedict equation plus a MET-based relative intensity activity scale. Body composition was predicted using a multi-current, 8-mode segmental bioelectrical impedance analysis system. Hourly and daily EB was calculated from EI and EE data.

Results

Subjects reported a 24 h EI significantly below (P < 0.001) the unadjusted predicted energy requirement (1482 kcal vs. 2199 kcal, respectively), resulting in an average negative net EB of − 720 kcal. Carbohydrate intake was significantly below the minimum recommended level (3.1 g/kg vs. 6 g/kg, P < 0.001) while protein and fat intakes met the recommended levels. Higher fat intake (g/kg) was significantly associated with a higher EI kcal/kg (r = 0.726; P < 0.001), which was significantly associated (r = − 0.55; P = 0.01) with a lower body fat percent (BF%). Using the median of BF% (20.9) as the cut point, participants with fewer hours in a negative EB had lower BF% (P = 0.043) and those with lower BF% spent more time in an EB of ± 300 kcal (P = 0.013).

Conclusions

These athletes reported low energy intakes that resulted in large EB deficits and/or more hours in a negative EB, which could be counterproductive for achieving a lean body composition overtime.

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Availability of Data and Material

The datasets generated and/or analyzed as part of the current study are not publicly available due to confidentiality agreements with subjects. However, they can be made available solely for the purpose of review and not for the purpose of publication from the corresponding author upon reasonable request.

References

  1. NutriTiming Nutrient and Energy Analaysis version 2.1. 2018. https://nutritiming.com. Accessed Nov 2014.

  2. Baranowski T. 24-h recall and diet record methods. In: Willett W, editor. Nutritional epidemiology. New York: Oxford University Press; 2013. p. 49–69.

    Google Scholar 

  3. Benardot D. Timing of energy and fluid intake: new concepts for weight control and hydration. ACSM Health Fitness J. 2007;11(4):13–9.

    Article  Google Scholar 

  4. Benardot DT, Thompson WR. Energy from food for physical activity: enough and on time. ACSM Health Fitness J. 1999;3(4):14–8.

    Article  Google Scholar 

  5. Bosy-Westphal A, Schautz B, Later W, Kehayias JJ, Gallagher D, Muller MJ. What makes a BIA equation unique? Validity of eight-electrode multifrequency BIA to estimate body composition in a healthy adult population. Eur J Clin Nutr. 2013;67(Suppl 1):S14–21. https://doi.org/10.1038/ejcn.2012.160.

    Article  PubMed  Google Scholar 

  6. Bratland-Sanda S, Sundgot-Borgen J. Eating disorders in athletes: overview of prevalence, risk factors and recommendations for prevention and treatment. Eur J Sport Sci. 2013;13(5):499–508. https://doi.org/10.1080/17461391.2012.740504.

    Article  PubMed  Google Scholar 

  7. National Research Council. Recommended dietary allowances. 10th ed. Washington, DC: The National Academis Press; 1989.

    Google Scholar 

  8. Davies RC, Rowlands AV, Eston RG. The prediction of maximal oxygen uptake from submaximal ratings of perceived exertion elicited during the multistage fitness test. Br J Sports Med. 2008;42(12):1006–10. https://doi.org/10.1136/bjsm.2007.043810.

    Article  CAS  PubMed  Google Scholar 

  9. Deutz RC, Benardot D, Martin DE, Cody MM. Relationship between energy deficits and body composition in elite female gymnasts and runners. Med Sci Sports Exerc. 2000;32(3):659–68.

    Article  CAS  Google Scholar 

  10. Dulloo AG, Jacquet J, Montani JP, Schutz Y. How dieting makes the lean fatter: from a perspective of body composition autoregulation through adipostats and proteinstats awaiting discovery. Obes Rev. 2015;16(Suppl 1):25–35. https://doi.org/10.1111/obr.12253.

    Article  PubMed  Google Scholar 

  11. Elliot-Sale KJ, Tenforde AS, Parziale AL, Holtzman B, Ackerman KE. Endocrine effects of relative energy deficiency in sport. Int J Sport Nutr Exerc Metab. 2018;28(4):335–49.

    Article  Google Scholar 

  12. Fahrenholtz IL, Sjödin A, Benardot D, Tornberg ÅB, Skouby S, Faber J, et al. Within-day energy deficiency and reproductive function in female endurance athletes. Scand J Med Sci Sports. 2018;28(3):1139–46. https://doi.org/10.1111/sms.13030.

    Article  CAS  PubMed  Google Scholar 

  13. Flack KD, Siders WA, Johnson L, Roemmich JN. Cross-validation of resting metabolic rate prediction equations. J Acad Nutr Diet. 2016;116(9):1413–22. https://doi.org/10.1016/j.jand.2016.03.018.

    Article  PubMed  Google Scholar 

  14. Foley EC, Bird HA. “Extreme” or tariff sports: their injuries and their prevention (with particular reference to diving, cheerleading, gymnastics, and figure skating). Clin Rheumatol. 2013;32(4):463–7. https://doi.org/10.1007/s10067-013-2188-4.

    Article  CAS  PubMed  Google Scholar 

  15. Hall KD, Guo J. Obesity energetics: body weight regulation and the effects of diet composition. Gastroenterology. 2017;152(7):1718–27. https://doi.org/10.1053/j.gastro.2017.01.052.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Hall KD, Heymsfield SB, Kemnitz JW, Klein S, Schoeller DA, Speakman JR. Energy balance and its components: implications for body weight regulation. Am J Clin Nutr. 2012;95(4):989–94. https://doi.org/10.3945/ajcn.112.036350.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Hardy I, McFaull S, Saint-Vil D. Neck and spine injuries in Canadian cheerleaders: an increasing trend. J Pediatr Surg. 2015;50(5):790–2. https://doi.org/10.1016/j.jpedsurg.2015.02.039.

    Article  PubMed  Google Scholar 

  18. Herman L, Foster C, Maher MA, Mikat RP, Porcari JP. Validity and reliability of the session RPE method for monitoring exercise training intensity. S Afr J Sports Med. 2008;18(1):14–7.

    Article  Google Scholar 

  19. Jonnalagadda SS, Bernadot D, Nelson M. Energy and nutrient intakes of the United States National Women’s Artistic Gymnastics Team. Int J Sport Nutr. 1998;8(4):331–44.

    Article  CAS  Google Scholar 

  20. Kajioka T, Tsuzuku S, Shimokata H, Sato Y. Effects of intentional weight cycling on non-obese young women. Metabolism. 2002;51(2):149–54.

    Article  CAS  Google Scholar 

  21. Karelis AD, Chamberland G, Aubertin-Leheudre M, Duval C, Ecological mobility in Aging and Parkinson (EMAP) group. Validation of a portable bioelectrical impedance analyzer for the assessment of body composition. Appl Physiol Nutr Metab. 2013;38(1):27–32. https://doi.org/10.1139/apnm-2012-0129.

    Article  PubMed  Google Scholar 

  22. Korkeila M, Rissanen A, Kaprio J, Sorensen TI, Koskenvuo M. Weight-loss attempts and risk of major weight gain: a prospective study in Finnish adults. Am J Clin Nutr. 1999;70(6):965–75. https://doi.org/10.1093/ajcn/70.6.965.

    Article  CAS  PubMed  Google Scholar 

  23. Loucks AB, Thuma JR. Luteinizing hormone pulsatility is disrupted at a threshold of energy availability in regularly menstruating women. J Clin Endocrinol Metab. 2003;88(1):297–311. https://doi.org/10.1210/jc.2002-020369.

    Article  CAS  PubMed  Google Scholar 

  24. Louis-Sylvestre J, Lluch A, Neant F, Blundell JE. Highlighting the positive impact of increasing feeding frequency on metabolism and weight management. Forum Nutr. 2003;56:126–8.

    PubMed  Google Scholar 

  25. Manore MM. Weight management for athletes and active individuals: a brief review. Sports Med (Auckland, NZ). 2015;45(Suppl 1):S83–92. https://doi.org/10.1007/s40279-015-0401-0.

    Article  Google Scholar 

  26. Manore MM, Larson-Meyer DE, Lindsay AR, Hongu N, Houtkooper L. Dynamic energy balance: an integrated framework for discussing diet and physical activity in obesity prevention—is it more than eating less and exercising more? Nutrients. 2017;9(8):905. https://doi.org/10.3390/nu9080905.

    Article  PubMed Central  Google Scholar 

  27. Melin A, Tornberg ÅB, Skouby S, Møller SS, Sundgot‐Borgen J, Faber J, et al. Energy availability and the female athlete triad in elite endurance athletes. Scand J Med Sci Sports. 2015;25(5):610–22. https://doi.org/10.1111/sms.12261.

    Article  CAS  PubMed  Google Scholar 

  28. Montani JP, Schutz Y, Dulloo AG. Dieting and weight cycling as risk factors for cardiometabolic diseases: who is really at risk? Obes Rev. 2015;16(Suppl 1):7–18. https://doi.org/10.1111/obr.12251.

    Article  PubMed  Google Scholar 

  29. Morton RW, Murphy KT, McKellar SR, Schoenfeld BJ, Henselmans M, Helms E, et al. A systematic review, meta-analysis and meta-regression of the effect of protein supplementation on resistance training-induced gains in muscle mass and strength in healthy adults. Br J Sports Med. 2018;52(6):376–84. https://doi.org/10.1136/bjsports-2017-097608.

    Article  PubMed  Google Scholar 

  30. Mountjoy M, Sundgot-Borgen J, Burke L, Carter S, Constantini N, Lebrun C, et al. The IOC consensus statement: beyond the Female Athlete Triad-Relative Energy Deficiency in Sport (RED-S). Br J Sports Med. 2014;48(7):491–7. https://doi.org/10.1136/bjsports-2014-093502.

    Article  PubMed  Google Scholar 

  31. Mountjoy M, Sundgot-Borgen J, Burke L, Carter S, Constantini N, Lebrun C, et al. Authors’ 2015 additions to the IOC consensus statement: Relative Energy Deficiency in Sport (RED-S). Br J Sports Med. 2015;49(7):417–20.

    Article  Google Scholar 

  32. Mountjoy M, Sundgot-Borgen JK, Burke LM, Ackerman KE, Blauwet C, Constantini N, et al. IOC consensus statement on relative energy deficiency in sport (RED-S): 2018 update. Br J Sports Med. 2018;52(11):687–97. https://doi.org/10.1136/bjsports-2018-099193.

    Article  PubMed  Google Scholar 

  33. Nattiv A, Loucks AB, Manore MM, Sanborn CF, Sundgot-Borgen J, Warren MP, et al. American College of Sports Medicine position stand. The female athlete triad. Med Sci Sports Exerc. 2007;39(10):1867–82. https://doi.org/10.1249/mss.0b013e318149f111.

    Article  PubMed  Google Scholar 

  34. Nindl BC, Friedl KE, Frykman PN, Marchitelli LJ, Shippee RL, Patton JF. Physical performance and metabolic recovery among lean, healthy men following a prolonged energy deficit. Int J Sports Med. 1997;18(5):317–24. https://doi.org/10.1055/s-2007-972640.

    Article  CAS  PubMed  Google Scholar 

  35. 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(3):403–9. https://doi.org/10.1249/01.mss.0000247008.19127.3e.

    Article  PubMed  Google Scholar 

  36. Pasiakos SM, Cao JJ, Margolis LM, Sauter ER, Whigham LD, McClung JP, et al. Effects of high-protein diets on fat-free mass and muscle protein synthesis following weight loss: a randomized controlled trial. FASEB J. 2013;27(9):3837–47. https://doi.org/10.1096/fj.13-230227.

    Article  CAS  PubMed  Google Scholar 

  37. Prado CM, Gonzalez MC, Heymsfield SB. Body composition phenotypes and obesity paradox. Curr Opin Clin Nutr Metab Care. 2015;18(6):535–51. https://doi.org/10.1097/mco.0000000000000216.

    Article  CAS  PubMed  Google Scholar 

  38. Redman LM, Heilbronn LK, Martin CK, de Jonge L, Williamson DA, Delany JP, et al. Metabolic and behavioral compensations in response to caloric restriction: implications for the maintenance of weight loss. PLoS ONE. 2009;4(2):e4377. https://doi.org/10.1371/journal.pone.0004377.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Reed JL, De Souza MJ, Kindler JM, Williams NI. Nutritional practices associated with low energy availability in Division I female soccer players. J Sports Sci. 2014;32(16):1499–509. https://doi.org/10.1080/02640414.2014.908321.

    Article  PubMed  Google Scholar 

  40. Sundgot-Borgen J. Prevalence of eating disorders in elite female athletes. Int J Sport Nutr. 1993;3(1):29–40.

    Article  CAS  Google Scholar 

  41. Sundgot-Borgen J, Garthe I. Elite athletes in aesthetic and Olympic weight-class sports and the challenge of body weight and body compositions. J Sports Sci. 2011;29(Suppl 1):S101–14. https://doi.org/10.1080/02640414.2011.565783.

    Article  PubMed  Google Scholar 

  42. Sundgot-Borgen J, Meyer NL, Lohman TG, Ackland TR, Maughan RJ, Stewart AD, et al. How to minimise the health risks to athletes who compete in weight-sensitive sports review and position statement on behalf of the Ad Hoc Research Working Group on Body Composition, Health and Performance, under the auspices of the IOC Medical Commission. Br J Sports Med. 2013;47(16):1012–22. https://doi.org/10.1136/bjsports-2013-092966.

    Article  PubMed  Google Scholar 

  43. Sundgot-Borgen J, Torstveit MK. Prevalence of eating disorders in elite athletes is higher than in the general population. Clin J Sport Med. 2004;14(1):25–32.

    Article  Google Scholar 

  44. Thomas DT, Erdman KA, Burke LM. American College of Sports Medicine Joint Position Statement. Nutrition and athletic performance. Med Sci Sports Exerc. 2016;48(3):543–68. https://doi.org/10.1249/mss.0000000000000852.

    Article  CAS  PubMed  Google Scholar 

  45. Vergnaud AC, Bertrais S, Oppert JM, Maillard-Teyssier L, Galan P, Hercberg S, et al. Weight fluctuations and risk for metabolic syndrome in an adult cohort. Int J Obes. 2008;32(2):315–21. https://doi.org/10.1038/sj.ijo.0803739.

    Article  Google Scholar 

  46. Vescovi JD, VanHeest JL. Case study: impact of inter- and intra-day energy parameters on bone health, menstrual function, and hormones in an elite junior female triathlete. Int J Sport Nutr Exerc Metab. 2016;26(4):363–9. https://doi.org/10.1123/ijsnem.2015-0282.

    Article  PubMed  Google Scholar 

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Acknowledgements

Thanks the athletes and coaches for participating in this study. Special thanks to Emily Goodman, MS, RDN who assisted in data collection.

Funding

Funding was provided by a professional team organization.

Author information

Authors and Affiliations

Authors

Contributions

MPB was responsible for data collection, data interpretation, writing and revision of the manuscript, under the direction and assistance of DB who assisted with each step and completion of the manuscript. ADL assisted in data interpretation and manuscript revisions. WT and AN assisted in manuscript revisions. The authors declare no conflict of interests with the current publication, and all authors approved the final version of the manuscript.

Corresponding author

Correspondence to Moriah P. Bellissimo.

Ethics declarations

Conflict of interest

DB is the inventor and co-owner of NutriTiming®, which was used to provide energy balance data from completed food and activity records. No other authors declare competing interests.

Ethics approval and consent to participate

Study protocol was approved by the internal review board of Georgia State University and all participants gave written informed consent prior to study participation.

Consent for publication

Not applicable, no individual person’s data was presented.

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Bellissimo, M.P., Licata, A.D., Nucci, A. et al. Relationships Between Estimated Hourly Energy Balance and Body Composition in Professional Cheerleaders. J. of SCI. IN SPORT AND EXERCISE 1, 69–77 (2019). https://doi.org/10.1007/s42978-019-0004-9

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  • DOI: https://doi.org/10.1007/s42978-019-0004-9

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