Prevalence and Risk Factors Associated With Low Back Pain Among Health Care Providers in a Kuwait Hospital
Bibliographic record
Abstract
In Brief Study Design. A cross-sectional survey among health professionals working in a Kuwait hospital. Objective. To investigate the prevalence and factors associated with low back pain (LBP). Summary of Background Data. The literature suggests that health professionals are exposed to occupational risk factors that predispose them to developing LBP. These rates are not well established in Middle Eastern countries such as Kuwait. Methods. A self-administered survey was conducted with health professionals in an urban orthopedic hospital. Results. The response rate to the survey was 60% (n = 344). Lifetime prevalence of LBP in the sample was 70.9%, and point prevalence of LBP was 21.5%. Factors associated with acute LBP included direct patient contact (P = 0.015), performing patient lifts and/or transfers (P = 0.016), low job satisfaction (P = 0.039), and poor self-reported health status (P = 0.019). The prevalence ratio (PR) of reporting acute LBP was also found to increase as a function of the number of daily lifts/transfers performed (PR: 1.4; 95% CI: 1.27 to 1.70). Other factors generally associated with LBP, such as age, sex, professional experience, smoking and exercise, were not found to be significantly associated with LBP in this study. Conclusion. No causal relationships can be inferred using these cross-sectional data. However, results suggest that direct patient contact that includes lifting and/or transferring patients may be an important risk factor. Further research is warranted to evaluate effectiveness of back education and prevention programs among hospital staff in Kuwait. Lifetime prevalence of low back pain (LBP) among health professionals in Kuwait is 70.9%, and point prevalence is 21.5%. Factors associated (P < 0.05) with LBP included direct patient contact, job satisfaction, and self-reported health status. The prevalence of LBP was found to increase in function of the number of daily lifts/transfers performed.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".