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The nutrition for sport knowledge questionnaire (NSKQ): development and validation using classical test theory and Rasch analysis

BACKGROUND: Appropriate dietary intake can have a significant influence on athletic performance. There is a growing consensus on sports nutrition and professionals working with athletes often provide dietary education. However, due to the limitations of existing sports nutrition knowledge questionna...

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Autores principales: Trakman, Gina Louise, Forsyth, Adrienne, Hoye, Russell, Belski, Regina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5543556/
https://www.ncbi.nlm.nih.gov/pubmed/28785177
http://dx.doi.org/10.1186/s12970-017-0182-y
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author Trakman, Gina Louise
Forsyth, Adrienne
Hoye, Russell
Belski, Regina
author_facet Trakman, Gina Louise
Forsyth, Adrienne
Hoye, Russell
Belski, Regina
author_sort Trakman, Gina Louise
collection PubMed
description BACKGROUND: Appropriate dietary intake can have a significant influence on athletic performance. There is a growing consensus on sports nutrition and professionals working with athletes often provide dietary education. However, due to the limitations of existing sports nutrition knowledge questionnaires, previous reports of athletes’ nutrition knowledge may be inaccurate. METHODS: An updated questionnaire has been developed based on a recent review of sports nutrition guidelines. The tool has been validated using a robust methodology that incorporates relevant techniques from classical test theory (CTT) and Item response theory (IRT), namely, Rasch analysis. RESULTS: The final questionnaire has 89 questions and six sub-sections (weight management, macronutrients, micronutrients, sports nutrition, supplements, and alcohol). The content and face validity of the tool have been confirmed based on feedback from expert sports dietitians and university sports students, respectively. The internal reliability of the questionnaire as a whole is high (KR = 0.88), and most sub-sections achieved an acceptable internal reliability. Construct validity has been confirmed, with an independent T-test revealing a significant (p < 0.001) difference in knowledge scores of nutrition (64 ± 16%) and non-nutrition students (51 ± 19%). Test-retest reliability has been assured, with a strong correlation (r = 0.92, p < 0.001) between individuals’ scores on two attempts of the test, 10 days to 2 weeks apart. Three of the sub-sections fit the Rasch Unidimensional Model. CONCLUSIONS: The final version of the questionnaire represents a significant improvement over previous tools. Each nutrition sub-section is unidimensional, and therefore researchers and practitioners can use these individually, as required. Use of the questionnaire will allow researchers to draw conclusions about the effectiveness of nutrition education programs, and differences in knowledge across athletes of varying ages, genders, and athletic calibres. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12970-017-0182-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-55435562017-08-07 The nutrition for sport knowledge questionnaire (NSKQ): development and validation using classical test theory and Rasch analysis Trakman, Gina Louise Forsyth, Adrienne Hoye, Russell Belski, Regina J Int Soc Sports Nutr Research Article BACKGROUND: Appropriate dietary intake can have a significant influence on athletic performance. There is a growing consensus on sports nutrition and professionals working with athletes often provide dietary education. However, due to the limitations of existing sports nutrition knowledge questionnaires, previous reports of athletes’ nutrition knowledge may be inaccurate. METHODS: An updated questionnaire has been developed based on a recent review of sports nutrition guidelines. The tool has been validated using a robust methodology that incorporates relevant techniques from classical test theory (CTT) and Item response theory (IRT), namely, Rasch analysis. RESULTS: The final questionnaire has 89 questions and six sub-sections (weight management, macronutrients, micronutrients, sports nutrition, supplements, and alcohol). The content and face validity of the tool have been confirmed based on feedback from expert sports dietitians and university sports students, respectively. The internal reliability of the questionnaire as a whole is high (KR = 0.88), and most sub-sections achieved an acceptable internal reliability. Construct validity has been confirmed, with an independent T-test revealing a significant (p < 0.001) difference in knowledge scores of nutrition (64 ± 16%) and non-nutrition students (51 ± 19%). Test-retest reliability has been assured, with a strong correlation (r = 0.92, p < 0.001) between individuals’ scores on two attempts of the test, 10 days to 2 weeks apart. Three of the sub-sections fit the Rasch Unidimensional Model. CONCLUSIONS: The final version of the questionnaire represents a significant improvement over previous tools. Each nutrition sub-section is unidimensional, and therefore researchers and practitioners can use these individually, as required. Use of the questionnaire will allow researchers to draw conclusions about the effectiveness of nutrition education programs, and differences in knowledge across athletes of varying ages, genders, and athletic calibres. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12970-017-0182-y) contains supplementary material, which is available to authorized users. BioMed Central 2017-08-03 /pmc/articles/PMC5543556/ /pubmed/28785177 http://dx.doi.org/10.1186/s12970-017-0182-y Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Trakman, Gina Louise
Forsyth, Adrienne
Hoye, Russell
Belski, Regina
The nutrition for sport knowledge questionnaire (NSKQ): development and validation using classical test theory and Rasch analysis
title The nutrition for sport knowledge questionnaire (NSKQ): development and validation using classical test theory and Rasch analysis
title_full The nutrition for sport knowledge questionnaire (NSKQ): development and validation using classical test theory and Rasch analysis
title_fullStr The nutrition for sport knowledge questionnaire (NSKQ): development and validation using classical test theory and Rasch analysis
title_full_unstemmed The nutrition for sport knowledge questionnaire (NSKQ): development and validation using classical test theory and Rasch analysis
title_short The nutrition for sport knowledge questionnaire (NSKQ): development and validation using classical test theory and Rasch analysis
title_sort nutrition for sport knowledge questionnaire (nskq): development and validation using classical test theory and rasch analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5543556/
https://www.ncbi.nlm.nih.gov/pubmed/28785177
http://dx.doi.org/10.1186/s12970-017-0182-y
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