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; 6 of the 6 references it cites were found in a registry or an index.

The Influence of Sport Nutrition Knowledge on Body Composition and Perceptions of Dietary Requirements in Collegiate Athletes

Jagim, Andrew R., Fields, Jennifer B., Magee, Meghan, Kerksick, Chad, Luedke, Joel, Erickson, Jacob, Jones, Margaret T.·2021·Nutrients

Published version of a preprint

Abstract

Sport nutrition knowledge has been shown to influence dietary habits of athletes. The purpose of the current study was to examine relationships between sport nutrition knowledge and body composition and examine potential predictors of body weight goals in collegiate athletes. Participants included National Collegiate Athletic Association Division III women (n = 42, height: 169.9 ± 6.9 cm; body mass: 67.1 ± 8.6 kg; fat-free mass: 51.3 ± 6.6 kg; body fat percent: 24.2 ± 5.3%) and men (n = 25, height: 180.8 ± 7.2 cm; body mass: 89.2 ± 20.5 kg; fat-free mass: 75.9 ± 12.2 kg; body fat percent: 13.5 ± 8.9%) athletes. Body composition was assessed via air displacement plethysmography. Athletes completed a validated questionnaire designed to assess sport nutrition knowledge and were asked questions about their perceived dietary energy and macronutrient requirements, as well as their body weight goal (i.e., lose, maintain, gain weight). Athletes answered 47.98 ± 11.29% of questions correctly on the nutrition questionnaire with no differences observed between sexes (men: 49.52 ± 11.76% vs. women: 47.03 ± 11.04%; p = 0.40). An inverse relationship between sport nutrition knowledge scores and body fat percentage (BF%) (r = −0.330; p = 0.008), and fat mass (r = −0.268; p = 0.032) was observed for all athletes. Fat mass (β = 0.224), BF% (β = 0.217), and body mass index (BMI) (β = 0.421) were all significant (p < 0.05) predictors of body weight goal in women. All athletes significantly (p < 0.001) underestimated daily energy (−1360 ± 610.2 kcal/day), carbohydrate (−301.6 ± 149.2 grams/day [g/day]), and fat (−41.4 ± 34.5 g/day) requirements. Division III collegiate athletes have a low level of sport nutrition knowledge, which was associated with a higher BF%. Women athletes with a higher body weight, BF% and BMI were more likely to select weight loss as a body weight goal. Athletes also significantly underestimated their energy and carbohydrate requirements based upon the demands of their sport, independent of sex.

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/nu13072239

Cites

6 of 6 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 6 references

Research works printed but not linked: 35

  1. Mujika, 2010, Nutrition in Team Sports, Ann. Nutr. Metab., 57, 26, 10.1159/000322700 · DOI
  2. Slater, 2011, Nutrition guidelines for strength sports: Sprinting, weightlifting, throwing events, and bodybuilding, J. Sports Sci., 29, S67, 10.1080/02640414.2011.574722 · DOI · Paper page
  3. Hickson, 1986, Dietary intakes of female basketball and gymnastics athletes, J. Am. Diet. Assoc., 86, 251, 10.1016/S0002-8223(21)03923-7 · DOI
  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. 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
  6. Hoogenboom, 2009, Nutritional Knowledge and Eating Behaviors of Female, Collegiate Swimmers, N. Am. J. Sports Phys. Ther. NAJSPT, 4, 139
  7. 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
  8. 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
  9. Jagim, 2017, Position Specific Changes in Body Composition, Hydration Status and Metabolism During Preseason Training Camp and Nutritional Habits of Division III Football Players, Open Sports Sci. J., 10, 17, 10.2174/1875399X01710010017 · DOI
  10. 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
  11. Andrews, 2016, Sports Nutrition Knowledge among Mid-Major Division I University Student-Athletes, J. Nutr. Metab., 2016, 1, 10.1155/2016/3172460 · DOI
  12. 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
  13. Jenner, 2018, Dietary intake of professional Australian football athletes surrounding body composition assessment, J. Int. Soc. Sports Nutr., 15, 43, 10.1186/s12970-018-0248-5 · DOI
  14. 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
  15. Magee, M., Lockard, B., Zabriskie, H., Schaefer, A., Luedke, J., Erickson, J., Jones, M., and Jagim, A. (2020). Prevalence of Low Energy Availability in Collegiate Women Soccer Athletes. J. Funct. Morphol. Kinesiol., 5. · DOI · Paper page
  16. Kantanista, 2018, Body Image of Highly Trained Female Athletes Engaged in Different Types of Sport, BioMed Res. Int., 2018, 1, 10.1155/2018/6835751 · DOI
  17. Kantanista, A., Król-Zielińska, M., Borowiec, J., and Osiński, W. (2017). Is Underweight Associated with more Positive Body Image? Results of a Cross-Sectional Study in Adolescent Girls and Boys. Span. J. Psychol., 20. · DOI
  18. 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
  19. Ihalainen, 2020, Body Composition, Energy Availability, Training, and Menstrual Status in Female Runners, Int. J. Sports Physiol. Perform., 1, 1
  20. 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
  21. 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
  22. Alaunyte, 2015, Nutritional knowledge and eating habits of professional rugby league players: Does knowledge translate into practice?, J. Int. Soc. Sports Nutr., 12, 1, 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, 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
  25. Siri, 1993, Body composition from fluid spaces and density: Analysis of methods. 1961, Nutrition, 9, 480
  26. Ballard, 2004, Comparison of Bod Pod?? and DXA in Female Collegiate Athletes, Med. Sci. Sports Exerc., 36, 731, 10.1249/01.MSS.0000121943.02489.2B · DOI
  27. 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
  28. Ferguson, 2014, ACSM’s Guidelines for Exercise Testing and Prescription 9th Ed, J. Can. Chiropr. Assoc., 58, 328
  29. Fields, 2018, Comparison of Body Composition Variables Across a Large Sample of National Collegiate Athletic Association Women Athletes From 6 Competitive Sports, J. Strength Cond. Res., 32, 2452, 10.1519/JSC.0000000000002234 · DOI
  30. 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
  31. Reel, 2013, Weight pressures in sport: Examining the factor structure and incremental validity of the weight pressures in sport—Females, Eat. Behav., 14, 137, 10.1016/j.eatbeh.2013.01.003 · DOI · Paper page
  32. 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. Sports Med., 54, 369, 10.1136/bjsports-2019-101926 · DOI · Paper page
  33. American College of Sports Medicine (2013). ACSM’s Health-Related Physical Fitness Assessment Manual, Lippincott Williams & Wilkins. [4th ed.].
  34. Rash, 2008, Nutrition-related knowledge, attitude, and dietary intake of college track athletes, Sport J., 11, 48
  35. Heaney, 2008, Towards an Understanding of the Barriers to Good Nutrition for Elite Athletes, Int. J. Sports Sci. Coach., 3, 391, 10.1260/174795408786238542 · DOI

Cited by

Metadata

Authors
Jagim, A. R., Fields, J. B., Magee, M., Kerksick, C., Luedke, J., Erickson, J., & Jones, M. T.
Affiliations
  • Sports Medicine, Mayo Clinic Health System, La Crosse, WI 54601, USA
  • Patriot Performance Laboratory, Frank Pettrone Center for Sports Performance, Intercollegiate Athletics, George Mason University, Fairfax, VA 22030, USA
Venue
Nutrients
Publisher
MDPI AG
Published
2021-06-29
Volume
13
Issue
7
Pages
2239
ISSN
2072-6643
Cited by
44
References
6
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.