The Relationship between chronic low back pain and sleep pattern (using data derived from the Persian cohort; Fasa(
Bibliographic record
Abstract
Background & objective: Chronic low back pain is one of the most common disorders associated with chronic pain that is correlated with a wide range of psychological issue such as problems in sleep pattern. The purpose of this study was to investigate the relationship between sleep pattern and chronic low back pain. Materials & Methods: The research method was cross-sectional- descriptive–analytic and the statistical populations were residents of Sheshdeh of Fars province. Among them 1,366 people participated in the study by convenience sampling method. The instrument included a questionnaire of Persian cohort, Oswestry inventory and McGill Questionnaire. Data were analyzed using SPSS . V-24 software. Results: 90.9% of the subjects were male and 39.09% were female. The results showed that there is a reverse relationship between the LBP، pattern and the quality of sleep, and with the increase in pain, the amount of sleep decreases. Conclusion: results of this study indicate that the quality of sleep should be considered in treatment of patients with chronic pain, especially those with chronic LBP.
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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 | 0.001 | 0.002 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".