Responses of Uric Acid, Glucose, Thyroid Hormones and Liver Enzymes to Aerobic and Combined Exercises in University Students
Bibliographic record
Abstract
Physiological effects of aerobic and anaerobic exercises are frequently investigated. However, it is considered that combined exercises may be more effective. The aim of this study was to investigate the effect of aerobic and combined exercise program on some biochemical parameters. The study group consisted of 45 male volunteers with sedentary life. The participants were divided into three groups as control (n: 15), aerobic exercise (n: 15) and combined exercise (n: 15). The control group did not perform any exercise. Aerobic and combined exercise groups participated in the exercise program 4 days a week for 10 weeks. Blood samples were taken from the participants twice. TSH, T3, T4, AST, ALT, Uric acid and glucose levels were determined in blood samples. SPSS software was used for the analysis of the data and the significance level was accepted as p <0.05. As a result of analysis; no difference was observed in the control group (p> 0.05). In the aerobic exercise group, T3, AST, Uric acid levels of post test were found to be different according to baseline, while in the combined exercise group, there were significant differences in T3, AST, Uric acid and glucose levels between pre and post test values (p <0.05). As a result, it was determined that both aerobic and combined exercises had effects on biochemical parameters (thyroid hormones, liver enzymes, Uric acid and glucose). According to this study it can be said that combined exercises may be more effective than aerobic exercises.
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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 | 0.000 | 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".