Remission from Depression among Adults with Arthritis: A 12-Year Followup of a Population-Based Study
Bibliographic record
Abstract
Individuals with arthritis are vulnerable to depression. In this study, we calculated time to remission from depression in a representative community-based sample of depressed Canadians with arthritis who were followed for 12 years. We conducted secondary analysis of a longitudinal panel study, the National Population Health Survey, which was begun in 1994/95 and has included biennial assessment of depression since that time. Our analysis focused on a total of 216 respondents with arthritis who were depressed at baseline. The mean time to remission from depression was calculated using the Kaplan-Meier procedure and compared across categories of each of the potential predictors. The percentage of those no longer screening positive for depression was calculated at two years after baseline. At two years after baseline, 71% of the sample had achieved remission from depression. Time to remission was significantly longer for those depressed adults who were under the age of 55, those who reported more chronic pain at baseline, those with comorbid migraine, and those who experienced childhood physical abuse or parental addictions. These findings highlight the importance of screening for these factors to improve the targeting of interventions to depressed patients with arthritis.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".