Baseline Depressive Symptoms Do Not Moderate the Association Between Baseline Symptom Severity and Time to Recovery in Individuals with Grade I–II Whiplash-Associated Disorders
Bibliographic record
Abstract
OBJECTIVE: This study investigated the moderating role of baseline depressive symptoms on the association between baseline pain severity and time to recovery in individuals with acute grade I-II whiplash-associated disorders. DESIGN: This is a secondary analysis of a randomized controlled trial investigating the effectiveness of a government-regulated rehabilitation guideline for the management of grade I-II whiplash-associated disorders. Participants who completed baseline questionnaires for neck pain intensity and depressive symptoms and follow-up questionnaire on self-reported recovery were included in the analysis. Cox proportional hazards models were built, and hazard rate ratios were reported to describe the association between baseline neck pain intensity and time to self-reported recovery and to assess the effect modification of baseline depressive symptoms. RESULTS: Three hundred three participants provided data for this study. Despite baseline level of depressive symptoms and neck pain intensity being independently associated with delayed recovery, the association between baseline neck pain intensity and time to recovery was not stronger for individuals with significant postcollision depressive symptoms (hazard rate ratio = 0.91; 95% confidence interval = 0.79-1.04) than for those without depressive symptoms (hazard rate ratio = 0.92; 95% confidence interval = 0.83-1.02). CONCLUSIONS: Baseline depressive symptoms are not an effect modifier of the association between baseline neck pain intensity and time to self-reported recovery in acute whiplash-associated disorders.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| 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 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".