Depression and Self-Rated Health Are Proximal Predictors of Episodes of Sustained Change in Pain in Independently Living, Community Dwelling Elders
Bibliographic record
Abstract
OBJECTIVE: To identify, in community dwelling elders, the determinants of sustained pain improvement or worsening. DESIGN: A longitudinal study with two baseline and 11 monthly follow-up interviews was conducted. Pain was assessed monthly using the Parmelee adaptation of the McGill Pain Inventory. SUBJECTS: Subjects included 109 Caucasian and 132 African American, Philadelphia residing Medicare recipients (65-74 years of age). OUTCOME MEASURES: To identify sustained pain change (> or =2 months), the data for each subject were reconfigured to yield 10 overlapping 3-month data segments. Each segment was classified as improved or worsened pain. Other variables included: the Geriatric Depression Scale (GDS), self-rated health (SRH), physical functioning, and number of improved or worsened medical conditions. RESULTS: Pain experienced (over 3-month periods) was typically stable. Sustained improved pain was more likely than worsened pain. Odds ratios obtained through Generalized Estimation Equation analyses showed that a 1-point increase in GDS scores increased the odds of worsened pain by 1.18 (1.11-1.30). Fair/poor SRH, being female, and having medical conditions worsen increased the odds of worsened pain by 4.04 (2.12-7.70), 1.63 (1.11-2.38), and 2.12 (1.42-3.16), respectively. Observed, statistically significant associations between these variables, except gender, and improved pain were in the opposite direction. CONCLUSIONS: With a 1-month time lag between predictor variable assessment and follow-up pain measures, the study supports temporal associations between depressive symptoms and SRH and subsequent pain change. Clinicians providing care to community dwelling elders are advised to evaluate and attend to both the depressive symptoms and SRH of their patients.
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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 | 0.012 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".