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1000 Titel
  • Development and validation of a dietary screener for carbohydrate intake in endurance athletes
1000 Autor/in
  1. Harrison, Stéphanie |
  2. Carbonneau, Élise |
  3. Talbot, Denis |
  4. Lemieux, Simone |
  5. Lamarche, Benoit |
1000 Erscheinungsjahr 2018
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2018-09-14
1000 Erschienen in
1000 Quellenangabe
  • 15:44
1000 Copyrightjahr
  • 2018
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s12970-018-0250-y |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6137928/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • 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.
1000 Sacherschließung
lokal Endurance athletes
lokal Carbohydrates
lokal Dietary screener
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/SGFycmlzb24sIFN0w6lwaGFuaWU=|https://frl.publisso.de/adhoc/uri/Q2FyYm9ubmVhdSwgw4lsaXNl|https://frl.publisso.de/adhoc/uri/VGFsYm90LCBEZW5pcw==|https://frl.publisso.de/adhoc/uri/TGVtaWV1eCwgU2ltb25l|https://orcid.org/0000-0002-4443-5378
1000 Label
1000 Förderer
  1. Canadian Institutes of Health Research |
  2. Université Laval |
1000 Fördernummer
  1. FHG 129921
  2. -
1000 Förderprogramm
  1. -
  2. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Canadian Institutes of Health Research |
    1000 Förderprogramm -
    1000 Fördernummer FHG 129921
  2. 1000 joinedFunding-child
    1000 Förderer Université Laval |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6416452.rdf
1000 Erstellt am 2019-09-19T18:21:18.750+0200
1000 Erstellt von 218
1000 beschreibt frl:6416452
1000 Bearbeitet von 218
1000 Zuletzt bearbeitet 2020-01-31T01:21:15.367+0100
1000 Objekt bearb. Thu Sep 19 18:22:10 CEST 2019
1000 Vgl. frl:6416452
1000 Oai Id
  1. oai:frl.publisso.de:frl:6416452 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
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