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Development and validation of a dietary screener for carbohydrate intake in endurance athletes

Overview of attention for article published in Journal of the International Society of Sports Nutrition, April 2022
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  • Above-average Attention Score compared to outputs of the same age (60th percentile)

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Title
Development and validation of a dietary screener for carbohydrate intake in endurance athletes
Published in
Journal of the International Society of Sports Nutrition, April 2022
DOI 10.1186/s12970-018-0250-y
Pubmed ID
Authors

Stéphanie Harrison, Élise Carbonneau, Denis Talbot, Simone Lemieux, Benoît Lamarche

Abstract

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. 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. 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. 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.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 101 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 25 25%
Student > Master 11 11%
Other 6 6%
Student > Postgraduate 5 5%
Student > Doctoral Student 4 4%
Other 14 14%
Unknown 36 36%
Readers by discipline Count As %
Sports and Recreations 20 20%
Nursing and Health Professions 13 13%
Medicine and Dentistry 11 11%
Agricultural and Biological Sciences 5 5%
Psychology 3 3%
Other 10 10%
Unknown 39 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 September 2018.
All research outputs
#13,143,380
of 23,267,128 outputs
Outputs from Journal of the International Society of Sports Nutrition
#715
of 891 outputs
Outputs of similar age
#172,493
of 442,343 outputs
Outputs of similar age from Journal of the International Society of Sports Nutrition
#678
of 851 outputs
Altmetric has tracked 23,267,128 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 891 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 59.1. This one is in the 19th percentile – i.e., 19% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 442,343 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.
We're also able to compare this research output to 851 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.