Evaluation of Nutritional Intake in Canadian High-Performance Athletes
Bibliographic record
Abstract
OBJECTIVE: To determine the nutritional intake of Canadian high-performance athletes. DESIGN: Prospective survey study. SETTING: Canadian sport center athletes. PARTICIPANTS: Three hundred twenty-four high-performance athletes (114 males and 201 females; mean age 21.3 +/- 13 years) from 8 Canadian sport centers participated in the study. INTERVENTION: Subjects prospectively completed 3-day dietary records, reporting all food, fluid, and supplement consumption. MAIN OUTCOME MEASURES: Dietary records were analyzed for total calories, macronutrients, and micronutrients for food alone and food plus supplements for all subjects collectively and according to gender and competitive event. RESULTS: Average daily energy intake was 2533 +/- 843 Kcal/day with males consuming more calories than females (2918 +/- 927 and 2304 +/- 713 Kcal/day, respectively; P < 0.05). Both genders consumed below recommended levels. Carbohydrate, protein, and fat accounted for 53%, 19%, and 28% of daily calorie intake, respectively. Average daily carbohydrate and protein intake was 5.1 +/- 1.8 and 1.8 +/- 0.6 g/kg body weight, respectively. Protein intake, but not carbohydrate intake, met recommendations. Supplementation significantly increased athletes' energy, total carbohydrate, protein, and fat intake. Of 17 micronutrients assessed, intake ranged between 120% and 366% of recommended daily intake with food alone and between 134% to 680% of recommended daily intake with supplements. CONCLUSIONS: Canadian high-performance athletes do not consume adequate energy or carbohydrates. However, their intake of micronutrients exceed current recommended daily intakes, even when supplements are not considered, indicating that athletes make high-quality food choices. Supplementation significantly increased energy, macronutrient, and micronutrient intake.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".