Evaluation of the Use of Nutrition Support Products in Taekwondo Athletes
Bibliographic record
Abstract
The purpose of this study was to determine the use of nutrition support products by male and female athletes who are involved in taekwondo and their level of knowledge in this respect. The sample group was formed with male and female (n=300) athletes who are actively involved in taekwondo. 300 of the collected questionnaires, which were determined to have been filled in correctly, were evaluated. Of the questionnaires evaluated, 108 belonged to female taekwondo athletes and 192 belonged to male taekwondo athletes. The arithmetic average, standard deviation and percent frequency (%) distributions of the obtained data were calculated. It was stated that 47.4% of male athletes and 41.7% of female athletes use the nutrition support products and the most preferred products by male athletes are protein powder (38%); amino acid (18.2%); vitamin (13.5%); mineral 8.9%; creatine (9.4%) and other nutrition support products (%12). It was found that female athletes also use the same products and these products are protein powder (30.6%); amino acid (15.7%); vitamin (18.5%); mineral 13%; creatine (8.3%) and other nutrition support products (13.9%). It was determined that the use of nutrition support products in male athletes was provided through doctor (20.8%), pharmacist (10.9%), friends (10.4%) and neighbors (3.6%), and in female athletes, through doctor (23.1%), pharmacist (16.7%), friends (6.5%) and neighbors (2.8%). Reasons for taekwondo athletes to use nutrition support products were to improve their athletic performance for 65.1% of males and 67.6% of females, and to cope with the fatigue for 17.2% of males and 17.6% of females. Our study results show that athletes who are involved in taekwondo use nutrition support products at a high level in order to increase their athletic performances. It is important for athletes using nutrition support products to use these products under the supervision of an expert for their health.
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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 | 0.001 | 0.001 |
| 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".