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Cited by 47

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Development and Validation of a Short Sport Nutrition Knowledge Questionnaire for Athletes

Vázquez-Espino, Karla, Fernández-Tena, Carles, Lizarraga-Dallo, Maria Antonia, Farran-Codina, Andreu·2020·Nutrients
DOI 10.3390/nu12113561
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Abstract

Weak evidence exists on the relationship between nutritional knowledge and diet quality. Many researchers claim that this could be in part because of inadequate validation of the questionnaires used. The aim of this study was to develop a compact reliable questionnaire on nutrition knowledge for young and adult athletes (NUKYA). Researchers and the sport clubs medical staff developed the questionnaire by taking into consideration the latest athlete dietary guidelines. The questionnaire content was validated by a panel of 12 nutrition experts, and finally tested by 445 participants including athletes (n = 264), nutrition students (n = 49) and non-athletes with no formal nutrition knowledge (n = 132). After consulting the experts, 59 of the 64 initial items remained in the questionnaire. To collect the evaluation of experts, we used the content validity index, obtaining high indices for relevance and ambiguity (0.99) as well as for clarity and simplicity (0.98). The final questionnaire included 24 questions with 59 items. We ensured construct validity and reliability through psychometric validation based on the Classical Test Theory and the Item–Response Theory (Rasch model). We found significant statistical differences comparing the groups of nutrition knowledgeable participants with the rest of the groups (ANOVA p < 0.001). We verified the questionnaire for test–retest reliability (R = 0.895, p < 0.001) and internal consistency (Cronbach’s α=0.849). We successfully fit the questionnaire data to a rating scale model (global separation reliability of 0.861) and examined discrimination and difficulty indices for items. Finally, we validated the NUKYA questionnaire as an effective tool to appraise nutrition knowledge in athletes. This questionnaire can be used for guiding in educational interventions, studying the influence of nutrition knowledge on nutrient intake and assessing/monitoring sport nutritional knowledge in large groups.

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Research works printed but not linked: 25

  1. Worsley, 2002, Nutrition knowledge and food consumption: Can nutrition knowledge change food behaviour?, Asia Pac. J. Clin. Nutr., 11, S579, 10.1046/j.1440-6047.11.supp3.7.x · DOI · Paper page
  2. Heaney, 2011, Nutrition knowledge in athletes: A systematic review, Int. J. Sport Nutr. Exerc. Met., 21, 248, 10.1123/ijsnem.21.3.248 · DOI · Paper page
  3. Spronk, 2014, Relationship between nutrition knowledge and dietary intake, Br. J. Nutr., 111, 1713, 10.1017/S0007114514000087 · DOI · Paper page
  4. Trakman, G., Forsyth, A., Devlin, B., 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
  5. (2011). IOC consensus statement on sports nutrition 2010. J. Sports Sci., 29, S3–S4. · DOI · Paper page
  6. Holden, 2019, Sports nutrition knowledge of certified athletic trainers, J. Exerc. Nutr., 2, 13
  7. Dowler, 2008, Symposium on ‘Intervention policies for deprived households’ Policy initiatives to address low-income households’ nutritional needs in the UK, Proc. Nutr. Soc., 67, 289, 10.1017/S0029665108008586 · DOI
  8. Nitzke, 2013, Position of the academy of nutrition and dietetics: Total diet approach to healthy eating, J. Acad. Nutr. Diet., 113, 307, 10.1016/j.jand.2012.12.013 · DOI · Paper page
  9. Zinn, 2005, Development of a psychometrically valid and reliable sports nutrition knowledge questionnaire, J. Sci. Med. Sport, 8, 346, 10.1016/S1440-2440(05)80045-3 · DOI · Paper page
  10. Blennerhassett, 2019, Development and Implementation of a Nutrition Knowledge Questionnaire for Ultraendurance Athletes, Int. J. Sport Nutr. Exerc. Met., 29, 39, 10.1123/ijsnem.2017-0322 · DOI
  11. Valve, 2018, Development of a nutrition knowledge questionnaire for young endurance athletes and their coaches, Scan. J. Med. Sci. Sport, 28, 873, 10.1111/sms.12987 · DOI
  12. Devlin, 2015, Exploring general and sports nutrition and food knowledge in elite male Australian athletes, Int. J. Sport Nutr. Exerc. Met., 25, 225, 10.1123/ijsnem.2013-0259 · DOI · Paper page
  13. Alaunyte, 2015, Nutritional knowledge and eating habits of professional rugby league players: Does knowledge translate into practice?, J. Int. Soc. Sport Nutr., 12, 18, 10.1186/s12970-015-0082-y · DOI · Paper page
  14. Pritchett, 2012, Sports nutrition knowledge among collegiate athletes, coaches, athletic trainers, and strength and conditioning specialists, J. Athl. Training, 47, 205, 10.4085/1062-6050-47.2.205 · DOI · Paper page
  15. Trakman, 2017, The nutrition for sport knowledge questionnaire (NSKQ): Development and validation using classical test theory and Rasch analysis, J. Int. Soc. Sport Nutr., 14, 26, 10.1186/s12970-017-0182-y · DOI
  16. 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
  17. Parmenter, 2000, Evaluation and design of nutrition knowledge measures, J. Nutr. Educ., 32, 269, 10.1016/S0022-3182(00)70575-9 · DOI
  18. MacKenzie, 2011, Construct measurement and validation procedures in MIS and behavioral research: Integrating new and existing techniques, MIS Q., 35, 293, 10.2307/23044045 · DOI · Paper page
  19. Trakman, 2017, Developing and validating a nutrition knowledge questionnaire: Key methods and considerations, Public Health Nutr., 20, 2670, 10.1017/S1368980017001471 · DOI
  20. Polit, D.F., and Beck, C.T. (2004). Nursing Research: Principles and Methods, Lippincott Williams & Wilkins.
  21. Faul, 2009, Statistical power analyses using G* Power 3.1: Tests for correlation and regression analyses, Behav. Res. Meth., 41, 1149, 10.3758/BRM.41.4.1149 · DOI · Paper page
  22. Rasch, 1966, An item analysis which takes individual differences into account, Br. J. Math. Stat. Psychol., 19, 49, 10.1111/j.2044-8317.1966.tb00354.x · DOI · Paper page
  23. Andrich, 1978, A rating formulation for ordered response categories, Psychometrika, 43, 561, 10.1007/BF02293814 · DOI · Paper page
  24. González, M.Á.M., Calvo, N.M., and Atucha, J.B.T. (2014). Comparaciones de K Medias (tres o más grupos). Bioestadística Amigable, Elsevier.
  25. Scharfen, 2018, Retest effects in working memory capacity tests: A meta-analysis, Psychon. Bull. Rev., 25, 2175, 10.3758/s13423-018-1461-6 · DOI

Cited by

Metadata

Authors
Vázquez-Espino, K., Fernández-Tena, C., Lizarraga-Dallo, M. A., & Farran-Codina, A.
Affiliations
  • Department of Nutrition, Food Science and Gastronomy, XaRTA–INSA, Faculty of Pharmacy, University of Barcelona, Av. Prat de la Riba Campus de l’Alimentació de Torribera, 171, Santa Coloma de Gramenet, E-08921 Barcelona, Spain
  • Independent Researcher, Pau Claris 165, 3-B, E-08037 Barcelona, Spain
ORCID
Venue
Nutrients
Publisher
MDPI AG
Published
2020-11-20
Volume
12
Issue
11
Pages
3561
ISSN
2072-6643
DOI
10.3390/nu12113561
Cited by
47
References
1
Language
en
Licence
creativecommons.org/licenses/by/4.0/ (vor)
Funders
  • Agència de Gestió d'Ajuts Universitaris i de Recerca (2017 SGR 741)
  • Consejo Nacional de Ciencia y Tecnologia, México ((without reference number))

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