The Effects of Pain and Depression on Physical Functioning in Elderly Residents of a Continuing Care Retirement Community
Bibliographic record
Abstract
UNLABELLED: OBJECTIVE. Explore the relationships between pain, depression, and functional disability in elderly persons. DESIGN: A cross-sectional, observational study of 228 independently living retirement community residents. METHODS: Self-report measures of pain (adaptation of McGill Pain Questionnaire), depression (Geriatric Depression Scale [GDS]) and physical functioning (Physical performance difficulties, activities of daily living [ADL], independent activities of daily living [IADL], and 3-meter walking speed) were employed. OUTCOME MEASURES: Physical functioning variables were dichotomized. Individuals in the lowest quartiles of functional performance and of walking speed were contrasted to all others; for ADL and IADL, those needing some help were compared with those independent in activities. RESULTS: Pain and depression levels were strongly related to physical performance; depression levels were related to ADL and walking speed. In multivariate analyses, an interaction effect was observed where the effects of pain were a function of level of depression. Individuals reporting activity-limiting pain and slightly elevated depressive symptom levels, sub-threshold depression, or major depression were significantly more likely (AOR 7.8; 95% CI, 3.07-20.03) than non-depressed persons to be in the lowest quartile of self-reported physical performance. CONCLUSIONS: While both pain and depression level affect physical performance, depressive symptoms rather than pain appear the more influential factor. When seeing elderly patients, identifying, evaluating, and treating both pain complaints and depressive symptoms and disorders may reduce functional impairment.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.003 |
| 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".