Predictors of Pain and Mood Disturbances Among Older People in Custody Using an interRAI Assessment
Bibliographic record
Abstract
The population of people in federal custody in Canada is aging. Those in custody report experiencing poorer health and high rates of chronic health conditions. Two health concerns that are disproportionately higher among those in custody are mood disorders and pain. This cross-sectional study examined health indicators associated with pain and depressive symptoms among older people (50 years and above) from multiple facilities and security levels in federal custody in Canada. Participants were assessed using the interRAI Emergency Department Contact Assessment, which captures key health indicators. Chi square and logistic regression analyses were conducted to describe the population and identify health indicators associated with mood- and pain-related outcomes, respectively. Of the 1,422 participants in this study, the majority (55%) experienced pain and at least 1 out of 5 experienced depressive symptoms. Health indicators associated with depressive symptoms and/or pain were functional measures, including mobility, managing medication(s), and dyspnea. Depressive symptoms and pain are highly prevalent among older adults in federal custody. The relationship between functional health, depressive symptoms, and pain highlights the importance of interprofessional health care and biopsychosocial intervention(s).
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".