Effect of 12 weeks aerobic exercise on coronary heart diseases' markers of inflammation in middle-aged women
Bibliographic record
Abstract
Introduction: This study aims at analyzing the effect of 12 weeks physical exercise (30 minutes for three days a week: 70-85% of the maximum heart rate) on variations of inflammation markers in middle-aged women's Coronary Heart diseases (CHDs). Methods: In this study a total of 40 subjects including 40-55 years old women were selected purposively and were divided into two experimental and control groups. The experimental group members were asked to follow a certain physical exercise program including 12 weeks physical exercise (30 minutes, three days a week with 70-85% of maximum heart rate using a treadmill); whereas subjects in the control group were asked to follow their normal lifestyle and do not change their activities and food habits. Levels of factors that can affect coronary heart risks including fibrinogen, C-reactive protein (CRP), and white blood cells (WBCs) were measured before and after exercises. Independent and paired t-tests were used to analyze data. Results: The results of this study indicated a significant decrease in fibrinogen, CRP, and WBC levels after 12 weeks physical exercise in the experimental group (P≤0.05); whereas no significant change was seen in the control group (P>0.05). Conclusion: Regarding the results of this study we can conclude that performing physical exercise (30 minutes, three days a week with 70-85% of maximum heart rate) can play an effective role in reducing risk factors of coronary heart disease (CHD) and hence in preventing coronary heart disease in 40-55 years old women with the similar properties of patients examined in this study.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".