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Under-Fuelling for the Work Required? Assessment of Dietary Practices and Physical Loading of Adolescent Female Soccer Players during an Intensive International Training and Game Schedule

McHaffie, Samuel J., Langan-Evans, Carl, Strauss, Juliette A., Areta, José L., Rosimus, Christopher, Evans, Martin, Waghorn, Ruth, Morton, James P.·2023·Nutrients

Abstract

Previous studies demonstrate that “under-fuelling” (i.e., reduced carbohydrate (CHO) and energy intake (EI) in relation to recommended guidelines) is prevalent within adult female soccer players, the consequence of which may have acute performance and chronic health implications. However, the dietary practices of adolescent female soccer players, a population who may be particularly at risk for the negative aspects of low energy availability (LEA), are not well documented. Accordingly, we aimed to quantify EI and CHO intake, physical loading and estimated energy availability (EA) in elite national team adolescent female soccer players (n = twenty-three; age, 17.9 ± 0.5 years) during a 10-day training and game schedule comprising two match days on day six (MDa) and nine (MDb). The players self-reported their EI via the remote food photography method, whilst the physical loading and associated exercise energy expenditure were assessed via GPS technology. The relative CHO intake was significantly greater (all p < 0.05) on the day before the first match (MD-1a) (4.1 ± 0.8 g·kg−1), on the day before the second match (MD-1b) (4.3 ± 1.1 g·kg−1), MDa (4.8 ± 1.2 g·kg−1) and MDb (4.8 ± 1.4 g·kg−1) in comparison to most other days (<4 g·kg−1). The mean daily measured EA over the 10-day period was 34 ± 12 kcal·kg FFM−1·day−1 (with six players, i.e., 34%, presenting LEA), though, when adjusting the energy intake for potential under-reporting, these values changed substantially (44 ± 14 kcal·kg FFM−1·day−1, only one player was classed as presenting LEA). Such data suggest that the prevalence of LEA amongst female team sport athletes may be over-estimated. Nonetheless, players are still likely under-fuelling for the work required in relation to the daily CHO recommendations (i.e., >6 g·kg−1) for intensive training and game schedules. These data provide further evidence for the requirement to create and deliver targeted player and stakeholder education and behaviour change interventions (especially for younger athletes) that aim to promote increased daily CHO intake in female soccer players.

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  1. Nassis, 2022, Elite Women’s Football: Evolution and Challenges for the Years Ahead, Scand. J. Med. Sci. Sports, 32, 7, 10.1111/sms.14094 · DOI
  2. Morehen, 2021, Energy Expenditure of Female International Standard Soccer Players, Med. Sci. Sports Exerc., 54, 769, 10.1249/MSS.0000000000002850 · DOI
  3. Moss, 2021, Assessment of Energy Availability and Associated Risk Factors in Professional Female Soccer Players, Eur. J. Sport Sci., 21, 861, 10.1080/17461391.2020.1788647 · DOI · Paper page
  4. Nattiv, 1994, The Female Athlete Triad, Phys. Sportsmed., 22, 60, 10.1080/00913847.1994.11710446 · DOI
  5. Burke, 2018, Pitfalls of Conducting and Interpreting Estimates of Energy Availability in Free-Living Athletes, Int. J. Sport Nutr. Exerc. Metab., 28, 350, 10.1123/ijsnem.2018-0142 · DOI · Paper page
  6. Taylor, 2022, Patterns of Energy Availability of Free-Living Athletes Display Day-to-Day Variability That Is Not Reflected in Laboratory-Based Protocols: Insights from Elite Male Road Cyclists, J. Sports Sci., 40, 1849, 10.1080/02640414.2022.2115676 · DOI
  7. McHaffie, 2022, Carbohydrate Fear, Skinfold Targets and Body Image Issues: A Qualitative Analysis of Player and Stakeholder Perceptions of the Nutrition Culture within Elite Female Soccer, Sci. Med. Footb., 6, 675, 10.1080/24733938.2022.2101143 · DOI · Paper page
  8. Malina, R.M., Martinho, D.V., Valente-dos-Santos, J., Coelho-e-Silva, M.J., and Kozieł, S.M. (2021). Growth and Maturity Status of Female Soccer Players: A Narrative Review. Int. J. Environ. Res. Public Health, 18. · DOI
  9. Krustrup, 2022, Muscle Metabolism and Impaired Sprint Performance in an Elite Women’s Football Game, Scand. J. Med. Sci. Sports, 32, 27, 10.1111/sms.13970 · DOI
  10. Russell, 2012, Influence of Carbohydrate Supplementation on Skill Performance during a Soccer Match Simulation, J. Sci. Med. Sport, 15, 348, 10.1016/j.jsams.2011.12.006 · DOI · Paper page
  11. Park, 2019, Velocity Zone Classification in Elite Women’s Football: Where Do We Draw the Lines?, Sci. Med. Footb., 3, 21, 10.1080/24733938.2018.1517947 · DOI
  12. Wiley Online Library (2023, September 12). Validity of the Remote Food Photography Method (RFPM) for Estimating Energy and Nutrient Intake in Near Real-Time. Available online: https://onlinelibrary.wiley.com/doi/full/10.1038/oby.2011.344. · DOI · Paper page
  13. Costello, 2017, Snap-N-Send: A Valid and Reliable Method for Assessing the Energy Intake of Elite Adolescent Athletes, Eur. J. Sport Sci., 17, 1044, 10.1080/17461391.2017.1337815 · DOI
  14. Dasa, M.S., Friborg, O., Kristoffersen, M., Pettersen, G., Sundgot-Borgen, J., and Rosenvinge, J.H. (2022). Accuracy of Tracking Devices’ Ability to Assess Exercise Energy Expenditure in Professional Female Soccer Players: Implications for Quantifying Energy Availability. Int. J. Environ. Res. Public. Health, 19. · DOI
  15. Loucks, 2011, Energy Availability in Athletes, J. Sports Sci., 29, S7, 10.1080/02640414.2011.588958 · DOI · Paper page
  16. Mara, 2015, Periodization and Physical Performance in Elite Female Soccer Players, Int. J. Sports Physiol. Perform., 10, 664, 10.1123/ijspp.2014-0345 · DOI
  17. Owen, 2016, High-Intensity Training and Salivary Immunoglobulin A Responses in Professional Top-Level Soccer Players: Effect of Training Intensity, J. Strength. Cond. Res., 30, 2460, 10.1519/JSC.0000000000000380 · DOI
  18. Collins, 2021, UEFA Expert Group Statement on Nutrition in Elite Football. Current Evidence to Inform Practical Recommendations and Guide Future Research, Br. J. Sports Med., 55, 416, 10.1136/bjsports-2019-101961 · DOI · Paper page
  19. Fernandes, 2020, Carbohydrate Consumption and Periodization Strategies Applied to Elite Soccer Players, Curr. Nutr. Rep., 9, 414, 10.1007/s13668-020-00338-w · DOI
  20. Atkins, 2015, Designing Interventions to Change Eating Behaviours, Proc. Nutr. Soc., 74, 164, 10.1017/S0029665115000075 · DOI

Metadata

Authors
McHaffie, S. J., Langan-Evans, C., Strauss, J. A., Areta, J. L., Rosimus, C., Evans, M., Waghorn, R., & Morton, J. P.
Venue
Nutrients
Publisher
MDPI AG
Published
2023-10-24
Volume
15
Issue
21
Pages
4508
ISSN
2072-6643
Cited by
14
References
3
Language
en
Funders
  • The Football Association (R255298)
  • Science in Sport (plc) (R255298)

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