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Record W3090148375 · doi:10.1080/19390211.2020.1826618

Dietary Supplementation Practices among Varsity Athletes at a Canadian University

2020· article· en· W3090148375 on OpenAlexaffabout
Karol-Ann Roy, Dalia El Khoury, John J. M. Dwyer, Margo Mountjoy

Bibliographic record

VenueJournal of Dietary Supplements · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle metabolism and nutrition
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsAthletesMicronutrientMedicineGerontologyPhysical therapyHealth professionalsPsychologyFamily medicineHealth carePolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: Given the risks of inadvertent doping associated with dietary supplement (DS) use, it is critical to explore the extent of dependence of varsity athletes on DS to improve performance and support recovery. The purpose of this study was to gain insight into dietary supplementation practices among varsity athletes in a university setting in Ontario, Canada. METHODS: An online DS use questionnaire was completed by 302 varsity athletes (30.5% male, 69.5% female; 20.5 ± 1.8-year old) who were competing in intermittent, power and endurance-based sports at the University of Guelph. The data from supplement users were analyzed using a Chi-square analysis to investigate type of DS consumption, frequency of use and reasons for use. RESULTS: Overall, 58.3% of athletes reported having used at least one type of DS in the past six months. Gender and age had significant associations with prevalence of DS use, with male athletes and athletes over 20-year old being more likely to be DS users. The most frequently reported reasons for consuming DS were to maintain good health, increase energy, promote recovery, correct or prevent micronutrient deficiencies and supply convenient forms of energy and/or macronutrients. Although, most athletes were using reliable sources of information, health care professionals, 58.6% still mentioned wanting to become more knowledgeable about DS. CONCLUSIONS: Findings from this study may guide the development of educational materials needed to address knowledge gaps on DS among varsity athletes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.351
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.028
GPT teacher head0.256
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations13
Published2020
Admission routes2
Has abstractyes

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