Is hamstring muscle shortness responsible for low back pain in healthcare professionals?
Bibliographic record
Abstract
Background/Aim: Low back pain (LBP) is a highly prevalent pathology affecting more than half of our population. The lumbar region inherently possesses a complex structure; therefore, dozens of causes for the clinical presentation of acute/chronic pain are present. We focused on the impact of hamstring shortness on LBP in healthcare workers/professionals who need to keep medical records and perform invasive procedures while traveling overwhelming distances in relatively small workplaces. Methods: Our research was designed as a cross-sectional study and was conducted at Beykent University Hospital from March to April 2022. Sixty-two otherwise healthy healthcare workers/professionals aged 25–45 (both male and female) volunteered. Two equal groups with and without LBP were created. Oswestry disability index, Roland–Morris score, Quebec LBP questionnaire, Visual Analog Scale (VAS), active/passive knee extension, sit and reach, and forward bending tests were performed in each group. The collected data were statistically analyzed (confidence interval [CI]=20%; P<0.05). Results: Active/passive knee extension, sit and reach, and toe touch tests were significantly related to Roland–Morris, Quebec, and Oswestry Disability Index questionnaires; thus hamstring muscle shortness was significantly related to chronic low back pain (P<0.05). Short hamstring muscle length could accurately reflect the lower test scores obtained by the female participants. Conclusion: Hamstring muscle shortness could explain a significant proportion of low back pain in healthcare professionals.
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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 | 0.007 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.000 | 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".