Prevalence, Profile, and Response to Work-Related Musculoskeletal Disorders among Egyptian Physiotherapists
Bibliographic record
Abstract
BACKGROUND: Despite that physiotherapists (PTs) are supposed to have adequate knowledge of musculoskeletal disorders and the different prevention strategies, they are at high risk of developing work-related musculoskeletal disorders (WRMDs). AIM: This study aimed to investigate the prevalence, profile, predictors, and response to WRMDs among Egyptian PTs. METHODS: A self-administrated questionnaire was distributed either manually or via e-mail to 564 PTs with at least two years of working experience. Questions elicited information about the personal and occupational history of the respondents in addition to the experience of WRMDs in the past two years. RESULTS: Four hundred and fourteen respondents (82.6%) reported WRMDs within the last two years, with the lower back as the most common area affected (68.8%). More than half the PTs (54.8%) who sustained a WRMD reported that their injury took place in a private setting. Significant predictors for WRMDs were age (AOR = 0.78; 95% CI = 0.66, 0.91) and number of years of experience in physiotherapy practice (AOR = 1.26; 95% CI = 1.07, 1.49). In response to the injury, about 73.9% of the respondents stated that they did not officially report their injury and 55.8% of them reported losing a half day or more from their work. CONCLUSION: The prevalence of WRMDs among Egyptian physiotherapists is high. Despite socioeconomic and cultural differences between Egypt and other countries, our study findings were consistent with the published reports. Further studies are needed to explore the cultural and psychosocial risk factors of WRMDs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 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 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".