A population-based study of factors associated with combinations of active and passive coping with neck and low back pain
Bibliographic record
Abstract
Pain coping strategies can be active or passive. Previous studies have examined these strategies separately, however individuals use combinations of both types of coping strategies. We examined the associations between sociodemographic, pain and health-related factors and combinations of active and passive strategies in a general population random sample of 1,131 adults. Individuals reporting neck or low back pain during the past 6 months are the subjects of this report (n = 644). Multinomial logistic regression suggests that disabling pain was highly associated with passive coping regardless of active coping. Lower education was associated with the combination of low levels of active and high levels of passive coping. Individuals with better self-reported general health were less likely to use high levels of passive coping regardless of their active coping. We conclude that high levels of passive coping are strongly associated with disabling pain and that there is no evidence of an association between pain severity and active coping.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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".