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Cited by 50

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Body Composition, Energy Availability, Risk of Eating Disorder, and Sport Nutrition Knowledge in Young Athletes

Magee, Meghan K., Jones, Margaret T., Fields, Jennifer B., Kresta, Julie, Khurelbaatar, Chinguun, Dodge, Christopher, Merfeld, Brandon, Ambrosius, Abby, Carpenter, Makenna, Jagim, Andrew R.·2023·Nutrients
DOI 10.3390/nu15061502
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Abstract

Young athletes may be at risk for low energy availability (LEA) or dietary habits that are indicative of eating disorders. Thus, the purpose of the current study was to investigate the prevalence of LEA among high school athletes and examine those at risk for eating disorders. A secondary aim was to examine relationships between sport nutrition knowledge, body composition, and LEA. Methods: 94 male (n = 42) and female (n = 52) mean ± SD age: 18.09 ± 2.44 y; height: 172.6 ± 9.8 cm; body mass: 68.7 ± 14.5 kg; BMI: 22.91 ± 3.3 kg·m−2) athletes completed a body composition assessment and electronic versions of the abridged sports nutrition knowledge questionnaire (ASNK-Q), brief eating disorder in athletes questionnaire (BEDA-Q), and the low energy availability for females questionnaire (LEAF-Q; females only). Results: 52.1% of female athletes were classified as being at risk for LEA. Moderate inverse relationships existed for computed LEAF-Q scores and BMI (r = −0.394; p < 0.01). A total of 42.9% of males (n = 18) and 68.6% of females (n = 35) were at risk for eating disorders, with females being at greater risk (p < 0.01). Body fat percentage was a predictor (β = −0.095; p = −0.01) for eating disorder risk status. For every 1 unit increase in body fat percentage, athletes were 0.909 (95% CI: 0.845–0.977) times less likely to be classified as at risk for an eating disorder. Male (46.5 ± 13.9) and female (46.9 ± 11.4) athletes scored poorly on the ASNK-Q, with no differences between sex (p = 0.895). Conclusions: Female athletes were at a greater risk for eating disorders. No relationships existed between sport nutrition knowledge and %BF. Female athletes with a higher %BF had a lower risk for an eating disorder and risk for LEA.

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  1. 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
  2. Shriver, 2013, Dietary intakes and eating habits of college athletes: Are female college athletes following the current sports nutrition standards?, J. Am. Coll. Health, 61, 10, 10.1080/07448481.2012.747526 · DOI · Paper page
  3. Reed, 2014, Nutritional practices associated with low energy availability in Division I female soccer players, J. Sport. Sci., 32, 1499, 10.1080/02640414.2014.908321 · DOI
  4. 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
  5. Jagim, 2019, Nutrient Status and perceptions of energy and macronutrient intake in a Group of Collegiate Female Lacrosse Athletes, J. Int. Soc. Sport. Nutr., 16, 43, 10.1186/s12970-019-0314-7 · DOI · Paper page
  6. Magee, M.K., Lockard, B.L., Zabriskie, H.A., Schaefer, A.Q., Luedke, J.A., Erickson, J.L., Jones, M.T., and Jagim, A.R. (2020). Prevalence of Low Energy Availability in Collegiate Women Soccer Athletes. J. Funct. Morphol. Kinesiol., 5. · DOI · Paper page
  7. Renard, M., Kelly, D.T., Cheilleachair, N.N., and Cathain, C.O. (2021). How Does the Dietary Intake of Female Field-Based Team Sport Athletes Compare to Dietary Recommendations for Health and Performance? A Systematic Literature Review. Nutrients, 13. · DOI
  8. Areta, 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., 121, 1, 10.1007/s00421-020-04516-0 · DOI · Paper page
  9. Jagim, A.R., Fields, J., Magee, M.K., Kerksick, C.M., and Jones, M.T. (2022). Contributing Factors to Low Energy Availability in Female Athletes: A Narrative Review of Energy Availability, Training Demands, Nutrition Barriers, Body Image, and Disordered Eating. Nutrients, 14. · DOI
  10. Reed, 2013, Changes in energy availability across the season in Division I female soccer players, J. Sport. Sci., 31, 314, 10.1080/02640414.2012.733019 · DOI · Paper page
  11. Sygo, 2018, Prevalence of Indicators of Low Energy Availability in Elite Female Sprinters, Int. J. Sport Nutr. Exerc. Metab., 28, 490, 10.1123/ijsnem.2017-0397 · DOI · Paper page
  12. Dobrowolski, 2020, Low energy availability in group of Polish female soccer players, Rocz. Państwowego Zakładu Hig., 71, 89
  13. 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
  14. 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
  15. Mountjoy, 2015, The IOC relative energy deficiency in sport clinical assessment tool (RED-S CAT), Br. J. Sport. Med., 49, 1354, 10.1136/bjsports-2015-094873 · DOI · Paper page
  16. Melin, 2014, The LEAF questionnaire: A screening tool for the identification of female athletes at risk for the female athlete triad, Br. J. Sport. Med., 48, 540, 10.1136/bjsports-2013-093240 · DOI · Paper page
  17. Torstveit, 2004, Prevalence of eating disorders in elite athletes is higher than in the general population, Clin. J. Sport Med., 14, 25, 10.1097/00042752-200401000-00005 · DOI · Paper page
  18. Wells, 2020, The Australian Institute of Sport (AIS) and National Eating Disorders Collaboration (NEDC) position statement on disordered eating in high performance sport, Br. J. Sport. Med., 54, 1247, 10.1136/bjsports-2019-101813 · DOI · Paper page
  19. Knapp, 2014, Eating disorders in female athletes: Use of screening tools, Curr. Sport. Med. Rep., 13, 214, 10.1249/JSR.0000000000000074 · DOI
  20. Martinsen, 2014, The development of the brief eating disorder in athletes questionnaire, Med. Sci. Sport. Exerc., 46, 1666, 10.1249/MSS.0000000000000276 · DOI
  21. Heaney, 2011, Nutrition knowledge in athletes: A systematic review, Int. J. Sport Nutr. Exerc. Metab., 21, 248, 10.1123/ijsnem.21.3.248 · DOI · Paper page
  22. 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
  23. Heaney, 2008, Towards an understanding of the barriers to good nutrition for elite athletes, Int. J. Sport. Sci. Coach., 3, 391, 10.1260/174795408786238542 · DOI
  24. 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
  25. 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
  26. Jagim, A.R., Fields, J.B., Magee, M., Kerksick, C., Luedke, J., Erickson, J., and Jones, M.T. (2021). The Influence of Sport Nutrition Knowledge on Body Composition and Perceptions of Dietary Requirements in Collegiate Athletes. Nutrients, 13. · DOI
  27. Manore, M.M., Patton-Lopez, M.M., Meng, Y., and Wong, S.S. (2017). Sport Nutrition Knowledge, Behaviors and Beliefs of High School Soccer Players. Nutrients, 9. · DOI · Paper page
  28. Patton-Lopez, M.M., Manore, M.M., Branscum, A., Meng, Y., and Wong, S.S. (2018). Changes in Sport Nutrition Knowledge, Attitudes/Beliefs and Behaviors Following a Two-Year Sport Nutrition Education and Life-Skills Intervention among High School Soccer Players. Nutrients, 10. · DOI · Paper page
  29. Brozek, 1963, Densitometric Analysis of Body Composition: Revision of Some Quantitative Assumptions, Ann. N. Y. Acad. Sci., 110, 113, 10.1111/j.1749-6632.1963.tb17079.x · DOI · Paper page
  30. Trakman, 2018, Development and validation of a brief general and sports nutrition knowledge questionnaire and assessment of athletes’ nutrition knowledge, J. Int. Soc. Sport. Nutr., 15, 17, 10.1186/s12970-018-0223-1 · DOI
  31. Trakman, 2019, Modifications to the nutrition for sport knowledge questionnaire (NSQK) and abridged nutrition for sport knowledge questionnaire (ANSKQ), J. Int. Soc. Sport. Nutr., 16, 26, 10.1186/s12970-019-0293-8 · DOI
  32. Ackerman, 2019, Low energy availability surrogates correlate with health and performance consequences of Relative Energy Deficiency in Sport, Br. J. Sport. Med., 53, 628, 10.1136/bjsports-2017-098958 · DOI · Paper page
  33. Ackerman, 2020, #REDS (Relative Energy Deficiency in Sport): Time for a revolution in sports culture and systems to improve athlete health and performance, Br. J. Sport. Med., 54, 369, 10.1136/bjsports-2019-101926 · DOI · Paper page
  34. Quatromoni, 2010, Factors Related to the Onset of Eating Disorders Reported by Female Collegiate Athletes, Sport Psychol., 25, 1
  35. Sossin, 2017, A qualitative analysis of factors related to eating disorder onset in female collegiate athletes and non-athletes, Eat. Disord., 25, 199, 10.1080/10640266.2016.1258940 · DOI · Paper page
  36. 2013, Eating disorders in athletes: Overview of prevalence, risk factors and recommendations for prevention and treatment, Eur. J. Sport Sci., 13, 499, 10.1080/17461391.2012.740504 · DOI · Paper page
  37. Alkazemi, 2018, Distorted weight perception correlates with disordered eating attitudes in Kuwaiti college women, Int. J. Eat. Disord., 51, 449, 10.1002/eat.22852 · DOI
  38. Ebrahim, 2019, Disordered eating attitudes correlate with body dissatisfaction among Kuwaiti male college students, J. Eat. Disord., 7, 37, 10.1186/s40337-019-0265-z · DOI
  39. Smith, A., Emerson, D., Winkelmann, Z., Potter, D., and Torres-McGehee, T. (2020). Prevalence of Eating Disorder Risk and Body Image Dissatisfaction among ROTC Cadets. Int. J. Environ. Res. Public Health, 17. · DOI
  40. Smith, A.B., Gay, J.L., Monsma, E.V., Arent, S.M., Sarzynski, M.A., Emerson, D.M., and Torres-McGehee, T.M. (2022). Investigation of Eating Disorder Risk and Body Image Dissatisfaction among Female Competitive Cheerleaders. Int. J. Environ. Res. Public Health, 19. · DOI
  41. Joy, 2016, 2016 update on eating disorders in athletes: A comprehensive narrative review with a focus on clinical assessment and management, Br. J. Sport. Med., 50, 154, 10.1136/bjsports-2015-095735 · DOI · Paper page
  42. 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
  43. Devlin, 2017, Dietary Intake, Body Composition, and Nutrition Knowledge of Australian Football and Soccer Players: Implications for Sports Nutrition Professionals in Practice, Int. J. Sport Nutr. Exerc. Metab., 27, 130, 10.1123/ijsnem.2016-0191 · DOI · Paper page
  44. Andrews, 2016, Sports Nutrition Knowledge among Mid-Major Division I University Student-Athletes, J. Nutr. Metab., 2016, 3172460, 10.1155/2016/3172460 · DOI
  45. Pritchett, 2012, Sports nutrition knowledge among collegiate athletes, coaches, athletic trainers, and strength and conditioning specialists, J. Athl. Train., 47, 205, 10.4085/1062-6050-47.2.205 · DOI · Paper page
  46. Janiczak, 2022, A systematic review update of athletes’ nutrition knowledge and association with dietary intake, Br. J. Nutr., 128, 1156, 10.1017/S0007114521004311 · DOI · Paper page

Cited by

Metadata

Authors
Magee, M. K., Jones, M. T., Fields, J. B., Kresta, J., Khurelbaatar, C., Dodge, C., Merfeld, B., Ambrosius, A., Carpenter, M., & Jagim, A. R.
Affiliations
  • Frank Pettrone Center for Sports Performance, George Mason University, Fairfax, VA 22030, USA
  • Exercise Science and Athletic Training, Springfield College, Springfield, MA 01109, USA
  • Exercise Physiology and Human Performance, Texas A&M University-Central Texas, Killeen, TX 76549, USA
  • Exercise & Sport Science, University of Wisconsin–La Crosse, La Crosse, WI 54601, USA
ORCID
Venue
Nutrients
Publisher
MDPI AG
Published
2023-03-21
Volume
15
Issue
6
Pages
1502
ISSN
2072-6643
DOI
10.3390/nu15061502
Cited by
50
References
3
Language
en
Licence
creativecommons.org/licenses/by/4.0/ (vor)
Funders
  • Mayo Clinic Health System
  • University of Wisconsin—La Crosse

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