Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 44

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Prevalence of Low Energy Availability in Collegiate Women Soccer Athletes

Magee, Meghan K., Lockard, Brittanie L., Zabriskie, Hannah A., Schaefer, Alexis Q., Luedke, Joel A., Erickson, Jacob L., Jones, Margaret T., Jagim, Andrew R.·2020·Journal of Functional Morphology and Kinesiology

Abstract

(1) Background: Limited information exists on the prevalence of low energy availability (LEA) in collegiate team sports. The purpose of this study was to examine the prevalence of LEA in collegiate women soccer players. (2) Methods: Collegiate women soccer athletes (n = 18, height: 1.67 ± 0.05 m; body mass: 65.3 ± 7.9 kg; body fat %: 24.9 ± 5.6%) had their body composition and sport nutrition knowledge assessed in the pre-season. Energy availability was assessed mid-season using a 4-day dietary log and activity energy expenditure values from a team-based monitoring system. A validated screening tool was used to screen for LEA. (3) Results: The screening tool classified 56.3% of athletes as at risk of LEA (<30 kcal/kg of FFM); however, the actual dietary intake identified 67% as LEA. Athletes identified as non-LEA consumed significantly more absolute (p = 0.040) and relative (p = 0.004) energy than LEA athletes. (4) Conclusions: There was a high prevalence of LEA among collegiate women soccer athletes. Although previously validated in women endurance athletes, the LEA screening tool was not effective in identifying those at risk of LEA in this sample of athletes.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3390/jfmk5040096

Cites

7 of 7 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 7 references

Research works printed but not linked: 35

  1. Hickson, 1986, Dietary intakes of female basketball and gymnastics athletes, J. Am. Diet. Assoc., 86, 251, 10.1016/S0002-8223(21)03923-7 · DOI
  2. Hinton, 2004, Nutrient intakes and dietary behaviors of male and female collegiate athletes, Int. J. Sport Nutr. Exerc. Metab., 14, 389, 10.1123/ijsnem.14.4.389 · DOI · Paper page
  3. Valliant, 2012, Nutrition education by a registered dietitian improves dietary intake and nutrition knowledge of a NCAA female volleyball team, Nutrients, 4, 506, 10.3390/nu4060506 · DOI · Paper page
  4. Beals, 2002, Eating behaviors, nutritional status, and menstrual function in elite female adolescent volleyball players, J. Am. Diet. Assoc., 102, 1293, 10.1016/S0002-8223(02)90285-3 · DOI
  5. Hoogenboom, 2009, Nutritional knowledge and eating behaviors of female, collegiate swimmers, NAJSPT, 4, 139
  6. Jagim, 2019, Nutrient status and perceptions of energy and macronutrient intake in a group of collegiate female lacrosse athletes, J. Int. Soc. Sports Nutr., 16, 43, 10.1186/s12970-019-0314-7 · DOI · Paper page
  7. Mullinix, 2003, Dietary intake of female US soccer players, Nutr. Res., 23, 585, 10.1016/S0271-5317(03)00003-4 · DOI
  8. Martin, 2006, Nutritional practices of national female soccer players: Analysis and recommendations, J. Sports Sci. Med., 5, 130
  9. Clark, 2003, Pre- and post-season dietary intake, body composition, and performance indices of NCAA division I female soccer players, Int. J. Sport Nutr. Exerc. Metab., 13, 303, 10.1123/ijsnem.13.3.303 · DOI
  10. Gibson, 2011, Nutrition status of junior elite Canadian female soccer athletes, Int. J. Soc. Sports Nutr., 21, 507
  11. Dobrowolski, 2020, Low energy availability in group of Polish female soccer players, Rocz. Panstw. Zakl. Hig., 71, 89
  12. Mountjoy, 2018, IOC consensus statement on relative energy deficiency in sport (RED-S): 2018 update, Br. J. Sports Med., 52, 687, 10.1136/bjsports-2018-099193 · DOI · Paper page
  13. Loucks, 2011, Energy availability in athletes, J. Sports Sci., 29, S7, 10.1080/02640414.2011.588958 · DOI · Paper page
  14. Day, 2015, Prevalence of low energy availability in collegiate female runners and implementation of nutrition education intervention, Sports Nutr. Ther., 1, 1
  15. Viner, 2015, Energy Availability and Dietary Patterns of Adult Male and female competitive cyclists with lower than expected bone mineral density, Int. J. Sports Nutr. Exerc. Metab., 25, 594, 10.1123/ijsnem.2015-0073 · DOI · Paper page
  16. Akers, 2010, Energetic efficiency, menstrual irregularity, and bone mineral density in elite professional female ballet dancers, J. Dance Med. Sci., 14, 146, 10.1177/1089313X1001400403 · DOI
  17. Melin, 2014, The LEAF questionnaire: A screening tool for the identification of female athletes at risk for the female athlete triad, Br. J. Sports Med., 48, 540, 10.1136/bjsports-2013-093240 · DOI · Paper page
  18. Trakman, G.L., Forsyth, A., Devlin, B.L., and Belski, R. (2016). A systematic review of athletes’ and coaches’ nutrition knowledge and reflections on the quality of current nutrition knowledge measures. Nutrients, 8. · DOI · Paper page
  19. Areta, J.L., Taylor, H.L., and Koehler, K. (2020). Low energy availability: History, definition and evidence of its endocrine, metabolic and physiological effects in prospective studies in females and males. Eur. J. Appl. Physiol. · DOI · Paper page
  20. Trakman, 2019, Modifications to the nutrition for sport knowledge questionnaire (NSQK) and abridged nutrition for sport knowledge questionnaire (ANSKQ), J. Int. Soc. Sports Nutr., 16, 26, 10.1186/s12970-019-0293-8 · DOI · Paper page
  21. Trakman, 2017, The nutrition for sport knowledge questionnaire (NSKQ): Development and validation using classical test theory and Rasch analysis, J. Int. Soc. Sports Nutr., 14, 26, 10.1186/s12970-017-0182-y · DOI
  22. Alaunyte, 2015, Nutritional knowledge and eating habits of professional rugby league players: Does knowledge translate into practice?, J. Int. Soc. Sports Nutr., 12, 18, 10.1186/s12970-015-0082-y · DOI · Paper page
  23. Rossi, 2017, The effects of a sports nutrition education intervention on nutritional status, sport nutrition knowledge, body composition, and performance during off season training in NCAA Division I baseball players, J. Sports Sci. Med., 16, 60
  24. Trakman, 2018, Development and validation of a brief general and sports nutrition knowledge questionnaire and assessment of athletes’ nutrition knowledge, J. Int. Soc. Sports Nutr., 15, 17, 10.1186/s12970-018-0223-1 · DOI · Paper page
  25. Reed, 2013, Changes in energy availability across the season in Division I female soccer players, J. Sports Sci., 31, 314, 10.1080/02640414.2012.733019 · DOI · Paper page
  26. Moss, S.L., Randell, R.K., Burgess, D., Ridley, S., ÓCairealláin, C., Allison, R., and Rollo, I. (2020). Assessment of energy availability and associated risk factors in professional female soccer players. Eur. J. Sport Sci., 1–10. · DOI · Paper page
  27. Woodruff, 2013, Energy availability of female varsity volleyball players, Int. J. Sports Nutr. Exec. Metab., 23, 24, 10.1123/ijsnem.23.1.24 · DOI
  28. Hull, 2016, Gender differences and access to a sports dietitian influence dietary habits of collegiate athletes, J. Int. Soc. Sports Nutr., 13, 38, 10.1186/s12970-016-0149-4 · DOI · Paper page
  29. Hull, 2017, Availability of a sports dietitian may lead to improved performance and recovery of NCAA division I baseball athletes, J. Int. Soc. Sports Nutr., 14, 29, 10.1186/s12970-017-0187-6 · DOI · Paper page
  30. Zawila, 2003, The female collegiate cross-country runner: Nutritional knowledge and attitudes, J. Athl. Train, 38, 67
  31. Waldrop, 2005, Early identification and interventions for female athlete triad, J. Pediatr. Health Care, 19, 213, 10.1016/j.pedhc.2005.02.008 · DOI
  32. Bentley, 2020, Athlete perspectives on the enablers and barriers to nutritional adherence in high-performing sport, Psychol. Sports Exer., 52, 101831, 10.1016/j.psychsport.2020.101831 · DOI
  33. Sygo, 2018, Prevalence of indicators of low energy availability in elite female sprinters, Int. J. Sports Nutr. Exec. Metab., 28, 490, 10.1123/ijsnem.2017-0397 · DOI · Paper page
  34. Dobrowolski, H., Karczemna, A., and Wlodarek, D. (2020). Nutrition for Female Soccer Players-Recommendations. Medicina, 56. · DOI · Paper page
  35. Jagim, 2016, Position specific changes in body composition, hydration status, and metabolism during preseason training camp and nutritional habits of Division III football players, Open Sport Sci. J., 10, 17, 10.2174/1875399X01710010017 · DOI

Cited by

Metadata

Authors
Magee, M. K., Lockard, B. L., Zabriskie, H. A., Schaefer, A. Q., Luedke, J. A., Erickson, J. L., Jones, M. T., & Jagim, A. R.
Affiliations
  • School of Kinesiology, George Mason University, Manassas, VA 20109, USA
  • Patriot Performance Laboratory, Frank Pettrone Center for Sports Performance, Intercollegiate Athletics, George Mason University, Fairfax, VA 22030, USA
  • Department of Kinesiology, Towson University, Towson, MD 21252 USA
  • Athletics Department, University of Wisconsin—La Crosse, La Crosse, WI 54601, USA
  • Sports Medicine, Mayo Clinic Health System, Onalaska, WI 54650, USA
Venue
Journal of Functional Morphology and Kinesiology
Publisher
MDPI AG
Published
2020-12-18
Volume
5
Issue
4
Pages
96
ISSN
2411-5142
Cited by
44
References
7
Language
en

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.