The Effect of 6 Weeks of Body weight Exercises on the Respiratory Function of overweight Women
Bibliographic record
Abstract
The prevalence of obesity and overweight all over the world due to the mechanization of lifestyle and people’s use of ready-made foods is increasing and affecting health and is closely related to major problems. One of the diseases that has a positive and frequent relationship with obesity is a respiratory disease. Obesity weakens people’s lung function and respiratory tract through two mechanisms, mechanical and inflammatory. The mechanical effect of obesity is such that it can affect the respiratory mechanics of the lungs and chest wall and cause asthma or pseudo-asthmatic shortness of breath and increase the response of the respiratory tract. In this study, we investigated the effect of 6 weeks of bodyweight training on the respiratory function of overweight women. For this purpose, in this research, 30 obese women aged 25 to 40 years were randomly divided into two control and training groups. The height meter and weight were calibrated with a digital scale and the body mass index was calculated by calculating the height and weight and the corresponding formula. The training program of the experimental group was for 6 weeks, 3 sessions per week and 60 minutes in each session. The training session included a 10-minute warm-up at the beginning of the workout and a 10-minute cool-down at the end of the workout. According to the present study, the percentage of fat in the training group was significantly reduced compared to the control. Also, there was a significant difference between the two groups in the FVC respiratory indices and the FEV1/FVC ratio. This was even though no significant difference was observed in the FEV1 index between the training and control groups. . Resistance training improves body composition by increasing metabolism and energy consumption and reducing fat mass. Research has shown that resistance training is effective in improving body composition due to increasing muscle volume and reducing fat percentage. In the present study, it was observed that resistance training with bodyweight could improve FVC. Resistance training is effective in improving the pulmonary indices of people by improving the skeletal muscle system and posture. The final result of this research showed us that resistance training with body weight in overweight women can improve body composition and respiratory function.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 |
| 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".