Relationship between physical activity and disability in low back pain: A systematic review and meta-analysis
Bibliographic record
Abstract
It is often assumed that patients with pain-related disability due to low back pain (LBP) will have reduced physical activity levels, but recent studies have provided results that challenge this assumption. The aim of our systematic review was to examine the relationship between physical activity and disability in LBP. The literature search included 6 electronic databases and the reference list of relevant systematic reviews and studies to May 2010. To be included, studies had to measure both disability (eg, with the Roland Morris Disability Questionnaire) and physical activity (eg, by accelerometry) in patients with non-specific LBP. Two independent reviewers screened search results and extracted data, and authors were contacted for additional data. Correlation coefficients were pooled using the random-effects model. The search identified 3213 records and 18 studies were eligible for inclusion. The pooled results showed a weak relationship between physical activity and disability in acute or subacute (<3months) LBP (r=-0.08, 95% confidence interval=-0.17 to 0.002), and a moderate and negative relationship in chronic (>3months) LBP (r=-0.33, 95% confidence interval=-0.51 to -0.15). That is, persons with acute or subacute LBP appear to vary in the levels of physical activity independent of their pain-related disability. Persons with chronic LBP with high levels of disability are also likely to have low levels of physical activity. Persons with acute or subacute back pain appear to vary in the levels of physical activity independent of disability. Persons with chronic back pain with high levels of disability will likely have low levels of physical activity.
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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 | 0.023 | 0.060 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.026 | 0.047 |
| Bibliometrics | 0.010 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".