The Effect of Eight Weeks of Selected Exercises in Water on Pain and Balance of Female Nurses With Chronic Back Pain
Bibliographic record
Abstract
Objective: The purpose of this study was to investigate the effect of eight weeks of selected exercises in water on pain and balance of nurses with chronic back pain. Methods: This semi-experimental study was carried out on 30 nurses working in Sanandaj city hospitals. Selected exercises in water for eight weeks, three sessions per week, which was carried out progressively and with the practice of central stability exercises on the experimental group. To assess the pain and balance of the patients in the pre and post test tests, both groups used the standard questionnaire of Quebec, FBT test, berg balance test. Independent and dependent t-test was used to analyze the data. The significance level was considered as P<0.05. Results: There was a significant difference between the mean scores of pain and the static and dynamic balance in the experimental and control groups, respectively, with a significant decrease and significant increase in the pain (P=0.001) and static (P=0.001) and dynamic (P=0.001) balance variables in the experimental group. Conclusion: Regarding the effectiveness of selected exercises in water on the pain and balance of nurses with non-specific chronic low back pain, it is recommended to design the training protocols for patients with Special attention should be given to the chronic pain, to the practice of water therapy (and to the importance of taking core stability of the workout in these exercises).
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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) | 0.001 | 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) | 0.003 | 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".