Low back pain and coping strategies’ among nurses in Port Said City, Egypt
Bibliographic record
Abstract
Background : Low back pain is a very common health problem worldwide and a major cause of disability-affecting performance at work and general well-being. The aim of this study was to assess low back pain and coping strategies’ among nurses in Port Said City. Methods : This was a cross-sectional study of low back pain among 419 nurses working in six governmental hospitals and four primary health care centers in Port-Said City. Data were collected through face-to-face interviews using five tools. Results : A total of 419 completed questionnaires were analyzed. The mean pain severity score was 5.8 ± 1.8. The present study revealed that a highly statistically significant relation between pain score, perception, and coping strategies and age, body mass index, experience, and duration of low back pain among nurses complaints of low back pain. Conclusions : More than three quarters of nurses suffered from low back pain due to long standing and more than two thirds due to heavy lifting and hospital work. With respect to strategies for coping with low back pain, positive correlations were found between withdrawal and denial as a coping strategy with age and experience.
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".