A Cross-Sectional Study Determining Pain in Lower Back and Calf Muscles among Females Due to High Heel Shoe Wear
Bibliographic record
Abstract
To determine pain in lower back and calf muscles among females due to high heels shoe wear. Methodology: A sample size of 87 females working women and students were recruited on the basis of the purposive sampling technique. Participants were requested to wear 5 cm stiletto high heels and they were asked to walk on treadmill at the pace of 4km/hr for 20 minutes. Modified McGill Questionnaire for pain measurement was used as a tool before and after test data collection. Results: In this study observation of muscular pain was significant in lower limb and lower back muscles due to high heels i.e. 29.6% and 24.7% respectively. Conclusion: Back and lower limbs musculature pain contribute only 8.6% whereas, only back pain had been observed in 9.9%. Paired sample t-test was used to determine pain before and after test was significant with p-value 0.000.
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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 | 0.020 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".