Effect of 8 weeks of resistance training on hemostasis indeces and lipid profile in adult men
Bibliographic record
Abstract
Background and Objective: Fluctuation in the homeostasis system is one of the main causes of heart attacks. There are contradectry reports regarding the effect of regular exercise, particularly resistance training on hemostasis indeces. This study was done to determine the effect of 8 weeks of resistance training on hemostasis indeces and lipid profile in adult men. Methods: In this clinical trail study, 16 adult men were randomly divided into interventional and control groups. Subjects in interventional group participated in a resistance training program including a period 3 days a week for 8 weeks session. Body mass index, level of fibrinogen, protrombin time (PT), partial thromboplastin time (PTT), platelet count, D-dimer fibrinolytic factor, Cholesterol, Triglyceride, HDL and LDL were measured for each subject. Results: After 8 weeks of resistance training, the level of fibrinogen, PT, PTT and platelets count were significantly reduced and D-dimer fibrinolytic factor increased in interventional group in compared to controls (P<0.05). Serum level of Cholesterol, Triglyceride, HDL and LDL had no significant change in interventional group in comparsion with the controls. Conclusion: Resistance training reduces hemostasis indeces in adult men.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".