Relationship between Body Mass Index and Occupation with Low Back Pain
Bibliographic record
Abstract
OBJECTIVE: This study aimed to identify the relationship between body mass index (BMI) and occupation with low back pain (LBP) incidence in Zainoel Abidin Hospital. METHODOLOGY: This cross-sectional study used convenience sampling to include 237 patients with LBP selected from a population of 618 at the Neurology Polyclinic, Zainoel Abidin Hospital. Data were collected using the Short Form McGill Pain Questionnaire (SFMPQ) and analyzed descriptively to assess pain characteristics and intensity among participants. The chi-square test was used to identify correlations between key variables. RESULTS: Comprehensive results were obtained. 58.7% of the samples had a thin/normal BMI, 57.4% had an occupation background of self-employed/retired/housewives, and 87.8% experienced mild pain. This study showed a relationship between BMI and LBP (p = 0.009) and no relationship between occupation and LBP (p = 0.129). CONCLUSION: The findings indicate a significant relationship between BMI and the incidence of LBP, while no significant association was found between occupation type and LBP among patients at Zainoel Abidin Hospital. Workers are encouraged to maintain a healthy BMI and practice proper workplace ergonomics to reduce LBP risk, especially for physically demanding roles.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 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".