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The Personal Food Systems of Pre-Season NCAA Division 1 High-Contact, Low-Contact, and Non-Contact College Athletes
Previous research indicates that dietary habits may differ between athletes of different sports. In this cross-sectional study, we hypothesize meal frequency, food choices, and food preferences will significantly differ between contact types. The participants were athletes (n = 92; men: n = 57, body...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8623026/ https://www.ncbi.nlm.nih.gov/pubmed/34835926 http://dx.doi.org/10.3390/nu13113670 |
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author | Peluso, Jennifer Madzima, Takudzwa A. Christopher, Shefali Nepocatych, Svetlana |
author_facet | Peluso, Jennifer Madzima, Takudzwa A. Christopher, Shefali Nepocatych, Svetlana |
author_sort | Peluso, Jennifer |
collection | PubMed |
description | Previous research indicates that dietary habits may differ between athletes of different sports. In this cross-sectional study, we hypothesize meal frequency, food choices, and food preferences will significantly differ between contact types. The participants were athletes (n = 92; men: n = 57, body fat percent (BF%): 14.8 ± 8.4%, body mass index (BMI): 25.5 ± 5.5 kg·m(−2); women: n = 36, BF%: 26.7 ± 7.3%, BMI: 22.3 ± 2.7 kg·m(−2)) from high-contact (HCS), low-contact (LCS), and non-contact (NCS) sports. Meal frequency, food preference, and food choice questionnaires assessed factors influencing dietary habits. Dual-energy X-ray absorptiometry (DXA) measured lean body mass, fat mass, and body fat. A GLM multivariate analysis was used with significance accepted at p < 0.05. Significant body composition differences were observed between genders (p < 0.001) and among sports (p < 0.001). Dinner (83.7%), lunch (67.4%), and breakfast (55.4%) were the most frequently eaten meals, followed by evening snack (17.8%), afternoon snack (15.2%), and morning snack (8.7%). Greater preferences for starches were observed for HCS (p = 0.04; η(2) = 0.07) and for a greater preference for vegetables was found for NCS (p = 0.02; η(2) = 0.09). Significant differences also existed in the importance of health (p = 0.04; η(2) = 0.07), weight control (p = 0.05; η(2) = 0.11), natural content (p = 0.04; η(2) = 0.07), and price (p = 0.04; η(2) = 0.07). These results support our hypothesis that food choices and food preferences differ between contact types. This may help sports dieticians create more individualized nutrition programs. |
format | Online Article Text |
id | pubmed-8623026 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-86230262021-11-27 The Personal Food Systems of Pre-Season NCAA Division 1 High-Contact, Low-Contact, and Non-Contact College Athletes Peluso, Jennifer Madzima, Takudzwa A. Christopher, Shefali Nepocatych, Svetlana Nutrients Article Previous research indicates that dietary habits may differ between athletes of different sports. In this cross-sectional study, we hypothesize meal frequency, food choices, and food preferences will significantly differ between contact types. The participants were athletes (n = 92; men: n = 57, body fat percent (BF%): 14.8 ± 8.4%, body mass index (BMI): 25.5 ± 5.5 kg·m(−2); women: n = 36, BF%: 26.7 ± 7.3%, BMI: 22.3 ± 2.7 kg·m(−2)) from high-contact (HCS), low-contact (LCS), and non-contact (NCS) sports. Meal frequency, food preference, and food choice questionnaires assessed factors influencing dietary habits. Dual-energy X-ray absorptiometry (DXA) measured lean body mass, fat mass, and body fat. A GLM multivariate analysis was used with significance accepted at p < 0.05. Significant body composition differences were observed between genders (p < 0.001) and among sports (p < 0.001). Dinner (83.7%), lunch (67.4%), and breakfast (55.4%) were the most frequently eaten meals, followed by evening snack (17.8%), afternoon snack (15.2%), and morning snack (8.7%). Greater preferences for starches were observed for HCS (p = 0.04; η(2) = 0.07) and for a greater preference for vegetables was found for NCS (p = 0.02; η(2) = 0.09). Significant differences also existed in the importance of health (p = 0.04; η(2) = 0.07), weight control (p = 0.05; η(2) = 0.11), natural content (p = 0.04; η(2) = 0.07), and price (p = 0.04; η(2) = 0.07). These results support our hypothesis that food choices and food preferences differ between contact types. This may help sports dieticians create more individualized nutrition programs. MDPI 2021-10-20 /pmc/articles/PMC8623026/ /pubmed/34835926 http://dx.doi.org/10.3390/nu13113670 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Peluso, Jennifer Madzima, Takudzwa A. Christopher, Shefali Nepocatych, Svetlana The Personal Food Systems of Pre-Season NCAA Division 1 High-Contact, Low-Contact, and Non-Contact College Athletes |
title | The Personal Food Systems of Pre-Season NCAA Division 1 High-Contact, Low-Contact, and Non-Contact College Athletes |
title_full | The Personal Food Systems of Pre-Season NCAA Division 1 High-Contact, Low-Contact, and Non-Contact College Athletes |
title_fullStr | The Personal Food Systems of Pre-Season NCAA Division 1 High-Contact, Low-Contact, and Non-Contact College Athletes |
title_full_unstemmed | The Personal Food Systems of Pre-Season NCAA Division 1 High-Contact, Low-Contact, and Non-Contact College Athletes |
title_short | The Personal Food Systems of Pre-Season NCAA Division 1 High-Contact, Low-Contact, and Non-Contact College Athletes |
title_sort | personal food systems of pre-season ncaa division 1 high-contact, low-contact, and non-contact college athletes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8623026/ https://www.ncbi.nlm.nih.gov/pubmed/34835926 http://dx.doi.org/10.3390/nu13113670 |
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