Development and validation of a dietary screener for carbohydrate intake in endurance athletes
Abstract Background Studies have shown that the majority of endurance athletes do not achieve the minimal recommended carbohydrate (CHO) intake of 6 g/kg of body weight (BW), with potentially negative impacts on recovery and performance. The purpose of this study was to develop and validate a rapid...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2018-09-01
|
Series: | Journal of the International Society of Sports Nutrition |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12970-018-0250-y |
id |
doaj-9fbcb5a2407348c0aba770e2520b31a4 |
---|---|
record_format |
Article |
spelling |
doaj-9fbcb5a2407348c0aba770e2520b31a42020-11-25T01:02:27ZengBMCJournal of the International Society of Sports Nutrition1550-27832018-09-011511610.1186/s12970-018-0250-yDevelopment and validation of a dietary screener for carbohydrate intake in endurance athletesStéphanie Harrison0Élise Carbonneau1Denis Talbot2Simone Lemieux3Benoît Lamarche4Institute of Nutrition and Functional Foods (INAF), Pavillon des Services, Laval UniversityInstitute of Nutrition and Functional Foods (INAF), Pavillon des Services, Laval UniversityDepartment of Social and Preventive Medicine , Laval UniversityInstitute of Nutrition and Functional Foods (INAF), Pavillon des Services, Laval UniversityInstitute of Nutrition and Functional Foods (INAF), Pavillon des Services, Laval UniversityAbstract Background Studies have shown that the majority of endurance athletes do not achieve the minimal recommended carbohydrate (CHO) intake of 6 g/kg of body weight (BW), with potentially negative impacts on recovery and performance. The purpose of this study was to develop and validate a rapid and easy to use dietary screener to identify athletes who do and do not achieve a CHO intake > 6 g/kg BW in the context of endurance sports. Methods The dietary screener was developed using multiple logistic regression modeling of data from a sample of 1571 non-athlete adults (826 women and 745 men, mean age 44.75 ± 14.2 years) among whom dietary intake was assessed using a validated web-based food frequency questionnaire (web-FFQ). Three models were developed based on whole food intake using the 5, 10 and 15 most significant variables predicting CHO intake. The three models were then validated in a target population of non-elite endurance athletes having taken part in multisport events (n = 175, 64 women and 111 men, mean age 37.1 ± 11.3 years) and compared using sensitivity, specificity, positive and negative predictive values (PPV and NPV, respectively) and c-statistics. Results The 15-variables model provided significantly better accuracy in predicting CHO intake adequacy in non-elite endurance athletes (c-statistic = 0.94) compared with the 10- and 5-variables model (c-statistic = 0.90 and 0.71 respectively). The 15-variables model predicts CHO intake adequacy in the target population of endurance athlete with a sensitivity of 89.5%, a specificity of 87.3% and PPV and NPV of 77.3 and 94.5%, respectively. Conclusion We have successfully developed a short and valid dietary screener that identifies endurance athletes at risk of not achieving a CHO intake > 6 g/kg BW. Use of this rapid screener may help alleviate the highly prevalent issue of suboptimal CHO consumption in the endurance sports realm.http://link.springer.com/article/10.1186/s12970-018-0250-yCarbohydratesDietary screenerEndurance athletes |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Stéphanie Harrison Élise Carbonneau Denis Talbot Simone Lemieux Benoît Lamarche |
spellingShingle |
Stéphanie Harrison Élise Carbonneau Denis Talbot Simone Lemieux Benoît Lamarche Development and validation of a dietary screener for carbohydrate intake in endurance athletes Journal of the International Society of Sports Nutrition Carbohydrates Dietary screener Endurance athletes |
author_facet |
Stéphanie Harrison Élise Carbonneau Denis Talbot Simone Lemieux Benoît Lamarche |
author_sort |
Stéphanie Harrison |
title |
Development and validation of a dietary screener for carbohydrate intake in endurance athletes |
title_short |
Development and validation of a dietary screener for carbohydrate intake in endurance athletes |
title_full |
Development and validation of a dietary screener for carbohydrate intake in endurance athletes |
title_fullStr |
Development and validation of a dietary screener for carbohydrate intake in endurance athletes |
title_full_unstemmed |
Development and validation of a dietary screener for carbohydrate intake in endurance athletes |
title_sort |
development and validation of a dietary screener for carbohydrate intake in endurance athletes |
publisher |
BMC |
series |
Journal of the International Society of Sports Nutrition |
issn |
1550-2783 |
publishDate |
2018-09-01 |
description |
Abstract Background Studies have shown that the majority of endurance athletes do not achieve the minimal recommended carbohydrate (CHO) intake of 6 g/kg of body weight (BW), with potentially negative impacts on recovery and performance. The purpose of this study was to develop and validate a rapid and easy to use dietary screener to identify athletes who do and do not achieve a CHO intake > 6 g/kg BW in the context of endurance sports. Methods The dietary screener was developed using multiple logistic regression modeling of data from a sample of 1571 non-athlete adults (826 women and 745 men, mean age 44.75 ± 14.2 years) among whom dietary intake was assessed using a validated web-based food frequency questionnaire (web-FFQ). Three models were developed based on whole food intake using the 5, 10 and 15 most significant variables predicting CHO intake. The three models were then validated in a target population of non-elite endurance athletes having taken part in multisport events (n = 175, 64 women and 111 men, mean age 37.1 ± 11.3 years) and compared using sensitivity, specificity, positive and negative predictive values (PPV and NPV, respectively) and c-statistics. Results The 15-variables model provided significantly better accuracy in predicting CHO intake adequacy in non-elite endurance athletes (c-statistic = 0.94) compared with the 10- and 5-variables model (c-statistic = 0.90 and 0.71 respectively). The 15-variables model predicts CHO intake adequacy in the target population of endurance athlete with a sensitivity of 89.5%, a specificity of 87.3% and PPV and NPV of 77.3 and 94.5%, respectively. Conclusion We have successfully developed a short and valid dietary screener that identifies endurance athletes at risk of not achieving a CHO intake > 6 g/kg BW. Use of this rapid screener may help alleviate the highly prevalent issue of suboptimal CHO consumption in the endurance sports realm. |
topic |
Carbohydrates Dietary screener Endurance athletes |
url |
http://link.springer.com/article/10.1186/s12970-018-0250-y |
work_keys_str_mv |
AT stephanieharrison developmentandvalidationofadietaryscreenerforcarbohydrateintakeinenduranceathletes AT elisecarbonneau developmentandvalidationofadietaryscreenerforcarbohydrateintakeinenduranceathletes AT denistalbot developmentandvalidationofadietaryscreenerforcarbohydrateintakeinenduranceathletes AT simonelemieux developmentandvalidationofadietaryscreenerforcarbohydrateintakeinenduranceathletes AT benoitlamarche developmentandvalidationofadietaryscreenerforcarbohydrateintakeinenduranceathletes |
_version_ |
1725204925744414720 |